Table of Contents

• Rethinking The Separation Layers In Speech Separation NetworksYi Luo, Zhuo Chen, Cong Han, Chenda Li, Tianyan Zhou, Nima Mesgarani. 1-5 [doi]
• Acoustic Reflectors Localization from Stereo Recordings Using Neural NetworksGiovanni Bologni, Richard Heusdens, Jorge Martinez. 1-5 [doi]
• On Permutation Invariant Training For Speech Source SeparationXiaoyu Liu, Jordi Pons. 6-10 [doi]
• Count And Separate: Incorporating Speaker Counting For Continuous Speaker SeparationZhong-qiu Wang, DeLiang Wang. 11-15 [doi]
• Ultra-Lightweight Speech Separation Via Group CommunicationYi Luo, Cong Han, Nima Mesgarani. 16-20 [doi]
• Attention Is All You Need In Speech SeparationCem Subakan, Mirco Ravanelli, Samuele Cornell, Mirko Bronzi, Jianyuan Zhong. 21-25 [doi]
• Multichannel Overlapping Speaker Segmentation Using Multiple Hypothesis Tracking Of Acoustic And Spatial FeaturesAidan O. T. Hogg, Christine Evers, Patrick A. Naylor. 26-30 [doi]
• Semi-Supervised Singing Voice Separation With Noisy Self-TrainingZhepei Wang, Ritwik Giri, Umut Isik, Jean-Marc Valin, Arvindh Krishnaswamy. 31-35 [doi]
• Neuro-Steered Music Source Separation With EEG-Based Auditory Attention Decoding And Contrastive-NMFGiorgia Cantisani, Slim Essid, Gaël Richard. 36-40 [doi]
• Complex Ratio Masking For Singing Voice SeparationYixuan Zhang, Yuzhou Liu, DeLiang Wang. 41-45 [doi]
• Transcription Is All You Need: Learning To Separate Musical Mixtures With Score As SupervisionYun-Ning Hung, Gordon Wichern, Jonathan Le Roux. 46-50 [doi]
• All For One And One For All: Improving Music Separation By Bridging NetworksRyosuke Sawata, Stefan Uhlich, Shusuke Takahashi, Yuki Mitsufuji. 51-55 [doi]
• An Hrnet-Blstm Model With Two-Stage Training For Singing Melody ExtractionYongwei Gao, Xingjian Du, Bilei Zhu, Xiaoheng Sun, Wei Li, Zejun Ma. 56-60 [doi]
• DeepF0: End-To-End Fundamental Frequency Estimation for Music and Speech SignalsSatwinder Singh, Ruili Wang, Yuanhang Qiu. 61-65 [doi]
• Differentiable Signal Processing With Black-Box Audio EffectsMarco A. Martínez Ramírez, Oliver Wang, Paris Smaragdis, Nicholas J. Bryan. 66-70 [doi]
• Automatic Multitrack Mixing With A Differentiable Mixing Console Of Neural Audio EffectsChristian J. Steinmetz, Jordi Pons, Santiago Pascual, Joan Serrà. 71-75 [doi]
• Sequence-To-Sequence Singing Voice Synthesis With Perceptual Entropy LossJiatong Shi, Shuai Guo, Nan Huo, Yuekai Zhang, Qin Jin. 76-80 [doi]
• Reverb Conversion Of Mixed Vocal Tracks Using An End-To-End Convolutional Deep Neural NetworkJunghyun Koo, Seungryeol Paik, Kyogu Lee. 81-85 [doi]
• Extending Music Based On Emotion And Tonality Via Generative Adversarial NetworkBo-Wei Tseng, Yih-Liang Shen, Tai-Shih Chi. 86-90 [doi]
• Improving The Robustness Of Right Whale Detection In Noisy Conditions Using Denoising Autoencoders And Augmented TrainingWilliam Vickers, B. Milner, R. Lee. 91-95 [doi]
• Self-Supervised VQ-VAE for One-Shot Music Style TransferOndrej Cífka, Alexey Ozerov, Umut Simsekli, Gaël Richard. 96-100 [doi]
• Capturing Temporal Dependencies Through Future Prediction for CNN-Based Audio ClassifiersHongwei Song, Jiqing Han, Shiwen Deng, Zhihao Du. 101-105 [doi]
• Segmental Dtw: A Parallelizable Alternative to Dynamic Time WarpingT. J. Tsai 0001. 106-110 [doi]
• Pitch-Timbre Disentanglement Of Musical Instrument Sounds Based On Vae-Based Metric LearningKeitaro Tanaka, Ryo Nishikimi, Yoshiaki Bando, Kazuyoshi Yoshii, Shigeo Morishima. 111-115 [doi]
• Asynchronous Acoustic Echo Cancellation Over Wireless ChannelsRobert Ayrapetian, Philip Hilmes, Mohamed Mansour, Trausti Kristjansson, Carlo Murgia. 116-120 [doi]
• Combining Adaptive Filtering And Complex-Valued Deep Postfiltering For Acoustic Echo CancellationMhd Modar Halimeh, Thomas Haubner, Annika Briegleb, Alexander Schmidt 0004, Walter Kellermann. 121-125 [doi]
• Deep Residual Echo Suppression With A Tunable Tradeoff Between Signal Distortion And Echo SuppressionAmir Ivry, Israel Cohen, Baruch Berdugo. 126-130 [doi]
• Robust STFT Domain Multi-Channel Acoustic Echo Cancellation with Adaptive Decorrelation of the Reference SignalsSaeed Bagheri, Daniele Giacobello. 131-135 [doi]
• A Method for Determining Periodically Time-Varying Bias and Its Applications in Acoustic Feedback CancellationMeng Guo. 136-140 [doi]
• Weighted Recursive Least Square Filter and Neural Network Based Residual ECHO Suppression for the AEC-ChallengeZiteng Wang, Yueyue Na, Zhang Liu, Biao Tian, Qiang Fu 0001. 141-145 [doi]
• ICASSP 2021 Acoustic Echo Cancellation Challenge: Integrated Adaptive Echo Cancellation with Time Alignment and Deep Learning-Based Residual Echo Plus Noise SuppressionRenhua Peng, Linjuan Cheng, Chengshi Zheng, Xiaodong Li 0002. 146-150 [doi]
• ICASSP 2021 Acoustic Echo Cancellation Challenge: Datasets, Testing Framework, and ResultsKusha Sridhar, Ross Cutler, Ando Saabas, Tanel Pärnamaa, Markus Loide, Hannes Gamper, Sebastian Braun, Robert Aichner, Sriram Srinivasan 0003. 151-155 [doi]
• AEC in A Netshell: on Target and Topology Choices for FCRN Acoustic Echo CancellationJan Franzen, Ernst Seidel, Tim Fingscheidt. 156-160 [doi]
• Kernel-Interpolation-Based Filtered-X Least Mean Square for Spatial Active Noise Control In Time DomainJesper Brunnström, Shoichi Koyama. 161-165 [doi]
• Wave-Domain Optimization of Secondary Source Placement Free From Information of Error Sensor PositionsJian Xu, Kean Chen, Yunhe Li. 166-170 [doi]
• Lasaft: Latent Source Attentive Frequency Transformation For Conditioned Source SeparationWoo-Sung Choi 0001, Minseok Kim 0003, JaeHwa Chung, Soonyoung Jung. 171-175 [doi]
• Surrogate Source Model Learning for Determined Source SeparationRobin Scheibler, Masahito Togami. 176-180 [doi]
• Auditory Filterbanks Benefit Universal Sound Source SeparationHan Li, Kean Chen, Bernhard U. Seeber. 181-185 [doi]
• What's all the Fuss about Free Universal Sound Separation Data?Scott Wisdom, Hakan Erdogan, Daniel P. W. Ellis, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Justin Salamon, Prem Seetharaman, John R. Hershey. 186-190 [doi]
• SepNet: A Deep Separation Matrix Prediction Network for Multichannel Audio Source SeparationShota Inoue, Hirokazu Kameoka, Li Li 0063, Shoji Makino. 191-195 [doi]
• CDPAM: Contrastive Learning for Perceptual Audio SimilarityPranay Manocha, Zeyu Jin, Richard Zhang, Adam Finkelstein. 196-200 [doi]
• Linear Multichannel Blind Source Separation based on Time-Frequency Mask Obtained by Harmonic/Percussive Sound SeparationSoichiro Oyabu, Daichi Kitamura, Kohei Yatabe. 201-205 [doi]
• Multichannel-based Learning for Audio Object ExtractionDaniel Arteaga, Jordi Pons. 206-210 [doi]
• DBnet: Doa-Driven Beamforming Network for end-to-end Reverberant Sound Source SeparationAli Aroudi, Sebastian Braun. 211-215 [doi]
• Joint Dereverberation and Separation With Iterative Source SteeringTaishi Nakashima, Robin Scheibler, Masahito Togami, Nobutaka Ono. 216-220 [doi]
• Exploiting Non-Negative Matrix Factorization for Binaural Sound Localization in the Presence of Directional InterferenceIngvi Örnolfsson, Torsten Dau, Ning Ma 0002, Tobias May. 221-225 [doi]
• Blind Extraction of Moving Audio Source in a Challenging Environment Supported by Speaker Identification Via X-VectorsJirí Málek, Jakub Janský, Tomás Kounovský, Zbynek Koldovský, Jindrich Zdánský. 226-230 [doi]
• Mind the Beat: Detecting Audio Onsets from EEG Recordings of Music ListeningAshvala Vinay, Alexander Lerch 0001, Grace Leslie. 231-235 [doi]
• Don't Look Back: An Online Beat Tracking Method Using RNN and Enhanced Particle FilteringMojtaba Heydari, Zhiyao Duan. 236-240 [doi]
• Singing Melody Extraction from Polyphonic Music based on Spectral Correlation ModelingXingjian Du, Bilei Zhu, Qiuqiang Kong, Zejun Ma. 241-245 [doi]
• Improving Automatic Drum Transcription Using Large-Scale Audio-to-Midi Aligned DataI-Chieh Wei, Chih-Wei Wu, Li Su 0004. 246-250 [doi]
• Frequency-Temporal Attention Network for Singing Melody ExtractionShuai Yu, Xiaoheng Sun, Yi Yu 0001, Wei Li 0012. 251-255 [doi]
• Statistical Correction of Transcribed Melody Notes Based on Probabilistic Integration of a Music Language Model and a Transcription Error ModelYuki Hiramatsu, Go Shibata, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii. 256-260 [doi]
• Reliability Assessment of Singing Voice F0-Estimates Using Multiple AlgorithmsSebastian Rosenzweig, Frank Scherbaum, Meinard Müller. 261-265 [doi]
• End-to-End Lyrics Recognition with Voice to Singing Style TransferSakya Basak, Shrutina Agarwal, Sriram Ganapathy, Naoya Takahashi. 266-270 [doi]
• Singing Language Identification Using a Deep Phonotactic ApproachLenny Renault, Andrea Vaglio, Romain Hennequin. 271-275 [doi]
• On the Preparation and Validation of a Large-Scale Dataset of Singing TranscriptionJun-You Wang, Jyh-Shing Roger Jang. 276-280 [doi]
• Joint Multi-Pitch Detection and Score Transcription for Polyphonic Piano MusicLele Liu, Veronica Morfi, Emmanouil Benetos. 281-285 [doi]
• Karaoke Key Recommendation Via Personalized Competence-Based Rating PredictionYuan Wang, Shigeki Tanaka, Keita Yokoyama, Hsin-Tai Wu, Yi Fang. 286-290 [doi]
• A Closed-Loop Gain-Control Feedback Model for The Medial Efferent System of The Descending Auditory PathwayAfagh Farhadi, Skyler G. Jennings, Elizabeth A. Strickland, Laurel H. Carney. 291-295 [doi]
• DHASP: Differentiable Hearing Aid Speech ProcessingZehai Tu, Ning Ma 0002, Jon Barker. 296-300 [doi]
• Computationally Efficient DNN-Based Approximation of an Auditory Model for Applications in Speech ProcessingAnil Nagathil, Florian Göbel, Alexandru Nelus, Ian C. Bruce. 301-305 [doi]
• Cascaded All-Pass Filters with Randomized Center Frequencies and Phase Polarity for Acoustic and Speech Measurement and Data AugmentationHideki Kawahara, Kohei Yatabe. 306-310 [doi]
• Probing Acoustic Representations for Phonetic PropertiesDanni Ma, Neville Ryant, Mark Liberman. 311-315 [doi]
• An End-To-End Non-Intrusive Model for Subjective and Objective Real-World Speech Assessment Using a Multi-Task FrameworkZhuohuang Zhang, Piyush Vyas, Xuan Dong 0004, Donald S. Williamson. 316-320 [doi]
• Few-Shot Continual Learning for Audio ClassificationYu Wang 0105, Nicholas J. Bryan, Mark Cartwright, Juan Pablo Bello, Justin Salamon. 321-325 [doi]
• Zero-Shot Audio Classification with Factored Linear and Nonlinear Acoustic-Semantic ProjectionsHuang Xie, Okko Räsänen, Tuomas Virtanen. 326-330 [doi]
• Unsupervised and Semi-Supervised Few-Shot Acoustic Event ClassificationHsin-Ping Huang, Krishna C. Puvvada, Ming Sun, Chao Wang. 331-335 [doi]
• Flow-Based Self-Supervised Density Estimation for Anomalous Sound DetectionKota Dohi, Takashi Endo, Harsh Purohit, Ryo Tanabe, Yohei Kawaguchi. 336-340 [doi]
• Self-Training for Sound Event Detection in Audio MixturesSangwook Park, Ashwin Bellur, David K. Han, Mounya Elhilali. 341-345 [doi]
• Prototypical Networks for Domain Adaptation in Acoustic Scene ClassificationShubhr Singh, Helen L. Bear, Emmanouil Benetos. 346-350 [doi]
• A Global-Local Attention Framework for Weakly Labelled Audio TaggingHelin Wang, Yuexian Zou, Wenwu Wang. 351-355 [doi]
• An Improved Mean Teacher Based Method for Large Scale Weakly Labeled Semi-Supervised Sound Event DetectionXu Zheng, Yan Song, Ian Vince McLoughlin, Lin Liu, Li-Rong Dai 0001. 356-360 [doi]
• Comparison of Deep Co-Training and Mean-Teacher Approaches for Semi-Supervised Audio TaggingLéo Cances, Thomas Pellegrini. 361-365 [doi]
• The Benefit of Temporally-Strong Labels in Audio Event ClassificationShawn Hershey, Daniel P. W. Ellis, Eduardo Fonseca, Aren Jansen, Caroline Liu, R. Channing Moore, Manoj Plakal. 366-370 [doi]
• Unsupervised Contrastive Learning of Sound Event RepresentationsEduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra. 371-375 [doi]
• Sound Event Detection by Consistency Training and Pseudo-Labeling With Feature-Pyramid Convolutional Recurrent Neural NetworksChih-Yuan Koh, You-Siang Chen, Yi-Wen Liu, Mingsian R. Bai. 376-380 [doi]
• SESQA: Semi-Supervised Learning for Speech Quality AssessmentJoan Serrà, Jordi Pons, Santiago Pascual. 381-385 [doi]
• Detecting Signal Corruptions in Voice Recordings For Speech TherapyHelmer Nylén, Saikat Chatterjee, Sten Ternström. 386-390 [doi]
• MBNET: MOS Prediction for Synthesized Speech with Mean-Bias NetworkYichong Leng, Xu Tan 0003, Sheng Zhao, Frank K. Soong, Xiang-Yang Li 0001, Tao Qin. 391-395 [doi]
• Non-Intrusive Binaural Prediction of Speech Intelligibility Based on Phoneme ClassificationJana Roßbach, Saskia Röttges, Christopher F. Hauth, Thomas Brand, Bernd T. Meyer. 396-400 [doi]
• Warp-Q: Quality Prediction for Generative Neural Speech CodecsWissam A. Jassim, Jan Skoglund, Michael Chinen, Andrew Hines. 401-405 [doi]
• Crowdsourcing Approach for Subjective Evaluation of Echo ImpairmentRoss Cutler, Babak Nadari, Markus Loide, Sten Sootla, Ando Saabas. 406-410 [doi]
• Amplitude Matching: Majorization-Minimization Algorithm for Sound Field Control Only with Amplitude ConstraintShoichi Koyama, Takashi Amakasu, Natsuki Ueno, Hiroshi Saruwatari. 411-415 [doi]
• 3D Multizone Soundfield Reproduction in a Reverberant Environment Using Intensity Matching MethodHuanyu Zuo, Thushara D. Abhayapala, Prasanga N. Samarasinghe. 416-420 [doi]
• The Far-Field Equatorial Array for Binaural RenderingJens Ahrens, Hannes Helmholz, David Lou Alon, Sebastià V. Amengual Garí. 421-425 [doi]
• Spherical Harmonic Representation for Dynamic Sound-Field MeasurementsFabrice Katzberg, Marco Maaß, Alfred Mertins. 426-430 [doi]
• Direction Preserving Wind Noise Reduction Of B-Format SignalsAdrian Herzog, Daniele Mirabilii, Emanuel A. P. Habets. 431-435 [doi]
• Refinement of Direction of Arrival Estimators by Majorization-Minimization Optimization on the Array ManifoldRobin Scheibler, Masahito Togami. 436-440 [doi]
• On the Predictability of Hrtfs from Ear Shapes Using Deep NetworksYaxuan Zhou, Hao Jiang, Vamsi Krishna Ithapu. 441-445 [doi]
• Applied Methods for Sparse Sampling of Head-Related Transfer FunctionsLior Arbel, Zamir Ben-Hur, David Lou Alon, Boaz Rafaely. 446-450 [doi]
• Personalized HRTF Modeling Using DNN-Augmented BEMMengfan Zhang, Jui-Hsien Wang, Doug L. James. 451-455 [doi]
• Efficient Training Data Generation for Phase-Based DOA EstimationFabian Hübner, Wolfgang Mack, Emanuel A. P. Habets. 456-460 [doi]
• Detecting Acoustic Reflectors Using A Robot's Ego-NoiseUsama Saqib, Antoine Deleforge, Jesper Rindom Jensen. 466-470 [doi]
• Prediction of Object Geometry from Acoustic Scattering Using Convolutional Neural NetworksZiqi Fan, Vibhav Vineet, Chenshen Lu, T. W. Wu, Kyla McMullen. 471-475 [doi]
• Blind Amplitude Estimation of Early Room Reflections Using Alternating Least SquaresTom Shlomo, Boaz Rafaely. 476-480 [doi]
• Acoustic Analysis and Dataset of Transitions Between Coupled RoomsThomas McKenzie, Sebastian J. Schlecht, Ville Pulkki. 481-485 [doi]
• On Loss Functions for Deep-Learning Based T60 EstimationYuying Li, Yuchen Liu, Donald S. Williamson. 486-490 [doi]
• Towards Listening to 10 People Simultaneously: An Efficient Permutation Invariant Training of Audio Source Separation Using Sinkhorn's AlgorithmHideyuki Tachibana. 491-495 [doi]
• Accelerating Auxiliary Function-Based Independent Vector AnalysisAndreas Brendel, Walter Kellermann. 496-500 [doi]
• One-Shot Conditional Audio Filtering of Arbitrary SoundsBeat Gfeller, Dominik Roblek, Marco Tagliasacchi. 501-505 [doi]
• Low Latency Online Blind Source Separation Based on Joint Optimization with Blind DereverberationTetsuya Ueda, Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Shoko Araki, Shoji Makino. 506-510 [doi]
• Autoregressive Fast Multichannel Nonnegative Matrix Factorization For Joint Blind Source Separation And DereverberationKouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, Mathieu Fontaine 0002, Kazuyoshi Yoshii. 511-515 [doi]
• Phase Recovery with Bregman Divergences for Audio Source SeparationPaul Magron, Pierre-Hugo Vial, Thomas Oberlin, Cédric Févotte. 516-520 [doi]
• Adversarial Attacks on Audio Source SeparationNaoya Takahashi, Shota Inoue, Yuki Mitsufuji. 521-525 [doi]
• Maximum a Posteriori Estimator for Convolutive Sound Source Separation with Sub-Source Based NTF Model and the Localization Probabilistic Prior on the Mixing MatrixMieszko Fras, Konrad Kowalczyk. 526-530 [doi]
• Unified Gradient Reweighting for Model Biasing with Applications to Source SeparationEfthymios Tzinis, Dimitrios Bralios, Paris Smaragdis. 531-535 [doi]
• Melon Playlist Dataset: A Public Dataset for Audio-Based Playlist Generation and Music TaggingAndres Ferraro, Yuntae Kim, Soohyeon Lee, Biho Kim, Namjun Jo, Semi Lim, Suyon Lim, Jungtaek Jang, Sehwan Kim, Xavier Serra, Dmitry Bogdanov. 536-540 [doi]
• Investigating the Efficacy of Music Version Retrieval Systems for Setlist IdentificationFurkan Yesiler, Emilio Molina, Joan Serrà, Emilia Gómez. 541-545 [doi]
• Instrument Classification of Solo Sheet Music ImagesKevin Ji, Daniel Yang, T. J. Tsai 0001. 546-550 [doi]
• Bytecover: Cover Song Identification Via Multi-Loss TrainingXingjian Du, Zhesong Yu, Bilei Zhu, Xiaoou Chen, Zejun Ma. 551-555 [doi]
• Multi-Task Self-Supervised Pre-Training for Music ClassificationHo-Hsiang Wu, Chieh-Chi Kao, Qingming Tang, Ming Sun, Brian McFee, Juan Pablo Bello, Chao Wang. 556-560 [doi]
• Towards Explaining Expressive Qualities in Piano Recordings: Transfer of Explanatory Features Via Acoustic Domain AdaptationShreyan Chowdhury, Gerhard Widmer. 561-565 [doi]
• Supervised Chorus Detection for Popular Music Using Convolutional Neural Network and Multi-Task LearningJu-Chiang Wang, Jordan B. L. Smith, Jitong Chen, Xuchen Song, Yuxuan Wang. 566-570 [doi]
• Structure-Aware Audio-to-Score Alignment Using Progressively Dilated Convolutional Neural NetworksRuchit Agrawal, Daniel Wolff, Simon Dixon. 571-575 [doi]
• Language-Sensitive Music Emotion Recognition Models: are We Really There Yet?Juan Sebastián Gómez Cañón, Estefanía Cano, Ana Gabriela Pandrea, Perfecto Herrera, Emilia Gómez. 576-580 [doi]
• Leveraging the Structure of Musical Preference in Content-Aware Music RecommendationPaul Magron, Cédric Févotte. 581-585 [doi]
• Low Resource Audio-To-Lyrics Alignment from Polyphonic Music RecordingsEmir Demirel, Sven Ahlbäck, Simon Dixon. 586-590 [doi]
• Multimodal Metric Learning for Tag-Based Music RetrievalMinz Won, Sergio Oramas, Oriol Nieto, Fabien Gouyon, Xavier Serra. 591-595 [doi]
• Learning Contextual Tag Embeddings for Cross-Modal Alignment of Audio and TagsXavier Favory, Konstantinos Drossos, Tuomas Virtanen, Xavier Serra. 596-600 [doi]
• Efficient End-to-End Audio Embeddings Generation for Audio Classification on Target ApplicationsPaulo Lopez-Meyer, Juan A. del Hoyo Ontiveros, Hong Lu 0006, Georg Stemmer. 601-605 [doi]
• Text-to-Audio Grounding: Building Correspondence Between Captions and Sound EventsXuenan Xu, Heinrich Dinkel, Mengyue Wu, Kai Yu 0004. 606-610 [doi]
• Multi-View Audio And Music ClassificationHuy Phan, Huy Le Nguyen, Oliver Y. Chén, Lam Dang Pham, Philipp Koch, Ian Vince McLoughlin, Alfred Mertins. 611-615 [doi]
• Audio-Visual Event Recognition Through the Lens of AdversaryJuncheng B. Li, Kaixin Ma, Shuhui Qu, Po-Yao Huang 0001, Florian Metze. 616-620 [doi]
• DCASENET: An Integrated Pretrained Deep Neural Network for Detecting and Classifying Acoustic Scenes and EventsJee-weon Jung, Hye-jin Shim, Ju-ho Kim, Ha-Jin Yu. 621-625 [doi]
• A Curated Dataset of Urban Scenes for Audio-Visual Scene AnalysisShanshan Wang, Annamaria Mesaros, Toni Heittola, Tuomas Virtanen. 626-630 [doi]
• Improving Sound Event Detection Metrics: Insights from DCASE 2020Giacomo Ferroni, Nicolas Turpault, Juan Azcarreta, Francesco Tuveri, Romain Serizel, Çagdas Bilen, Sacha Krstulovic. 631-635 [doi]
• Artificially Synthesising Data for Audio Classification and Segmentation to Improve Speech and Music Detection in Radio BroadcastSatvik Venkatesh, David Moffat, Alexis Kirke, Gözel Shakeri, Stephen A. Brewster, Jörg Fachner, Helen Odell-Miller, Alex Street, Nicolas Farina, Sube Banerjee, Eduardo Reck Miranda. 636-640 [doi]
• LSSED: A Large-Scale Dataset and Benchmark for Speech Emotion RecognitionWeiquan Fan, Xiangmin Xu, Xiaofen Xing, Weidong Chen, Dongyan Huang. 641-645 [doi]
• Enhancing Audio Augmentation Methods with Consistency LearningTurab Iqbal, Karim Helwani, Arvindh Krishnaswamy, Wenwu Wang. 646-650 [doi]
• Fast Threshold Optimization for Multi-Label Audio Tagging Using Surrogate Gradient LearningThomas Pellegrini, Timothée Masquelier. 651-655 [doi]
• Towards Efficient Models for Real-Time Deep Noise SuppressionSebastian Braun, Hannes Gamper, Chandan K. A. Reddy, Ivan Tashev. 656-660 [doi]
• Teacher-Student Learning for Low-Latency Online Speech Enhancement Using Wave-U-NetSotaro Nakaoka, Li Li 0063, Shota Inoue, Shoji Makino. 661-665 [doi]
• Learning Disentangled Feature Representations for Speech Enhancement Via Adversarial TrainingNana Hou, Chenglin Xu, Eng Siong Chng, Haizhou Li 0001. 666-670 [doi]
• Speech Enhancement Autoencoder with Hierarchical Latent StructureKoen Oostermeijer, Jun Du, Qing Wang 0008, Chin-Hui Lee. 671-675 [doi]
• Variational Autoencoder for Speech Enhancement with a Noise-Aware EncoderHuajian Fang, Guillaume Carbajal, Stefan Wermter, Timo Gerkmann. 676-680 [doi]
• Guided Variational Autoencoder for Speech Enhancement with a Supervised ClassifierGuillaume Carbajal, Julius Richter, Timo Gerkmann. 681-685 [doi]
• An Extension of Sparse Audio Declipper to Multiple Measurement VectorsSatoru Emura, Noboru Harada. 686-690 [doi]
• Real-Time Speech Frequency Bandwidth ExtensionYunpeng Li, Marco Tagliasacchi, Oleg Rybakov, Victor Ungureanu, Dominik Roblek. 691-695 [doi]
• Bandwidth Extension is All You NeedJiaqi Su, Yunyun Wang, Adam Finkelstein, Zeyu Jin. 696-700 [doi]
• Audio Dequantization Using (Co)Sparse (Non)Convex MethodsPavel Záviska, Pavel Rajmic, Ondrej Mokrý. 701-705 [doi]
• Source-Aware Neural Speech Coding for Noisy Speech CompressionHaici Yang, Kai Zhen, Seungkwon Beack, Minje Kim. 706-710 [doi]
• Enhancing into the Codec: Noise Robust Speech Coding with Vector-Quantized AutoencodersJonah Casebeer, Vinjai Vale, Umut Isik, Jean-Marc Valin, Ritwik Giri, Arvindh Krishnaswamy. 711-715 [doi]
• Speech Enhancement with Mixture of Deep Experts with Clean Clustering Pre-TrainingShlomo E. Chazan, Jacob Goldberger, Sharon Gannot. 716-720 [doi]
• A Novel NMF-HMM Speech Enhancement Algorithm Based on Poisson Mixture ModelYang Xiang, Liming Shi, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen. 721-725 [doi]
• Phoneme-Based Distribution Regularization for Speech EnhancementYajing Liu, Xiulian Peng, Zhiwei Xiong, Yan Lu. 726-730 [doi]
• Compressed Representation of Cepstral Coefficients via Recurrent Neural Networks for Informed Speech EnhancementCarol Chermaz, Dario Leuchtmann, Simon Tanner, Roger Wattenhofer. 731-735 [doi]
• Optimizing Short-Time Fourier Transform Parameters via Gradient DescentAn Zhao, Krishna Subramani, Paris Smaragdis. 736-740 [doi]
• Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor NetworksTobias Gburrek, Joerg Schmalenstroeer, Reinhold Haeb-Umbach. 741-745 [doi]
• On the Design of Square Differential Microphone Arrays with a Multistage StructureXudong Zhao, Gongping Huang, Jacob Benesty, Jingdong Chen, Israel Cohen. 746-750 [doi]
• Arrays of First-Order Steerable Differential MicrophonesFederico Borra, Alberto Bernardini, Ivan Bertuletti, Fabio Antonacci, Augusto Sarti. 751-755 [doi]
• Planar Array Geometry Optimization for Region Sound AcquisitionXi Chen, Chao Pan, Jingdong Chen, Jacob Benesty. 756-760 [doi]
• Estimation of Microphone Clusters in Acoustic Sensor Networks Using Unsupervised Federated LearningAlexandru Nelus, Rene Glitza, Rainer Martin 0001. 761-765 [doi]
• Misalignment Recognition in Acoustic Sensor Networks Using a Semi-Supervised Source Estimation Method and Markov Random FieldsGabriel F. Miller, Andreas Brendel, Walter Kellermann, Sharon Gannot. 766-770 [doi]
• Rotation-Robust Beamforming Based on Sound Field Interpolation with Regularly Circular Microphone ArrayYukoh Wakabayashi, Kouei Yamaoka, Nobutaka Ono. 771-775 [doi]
• Sparse Recovery Beamforming and Upscaling in the Ray SpaceS. Yu, C. Jin, Fabio Antonacci, Augusto Sarti. 776-780 [doi]
• Combined Differential Beamforming With Uniform Linear Microphone ArraysGongping Huang, Yuzhu Wang, Jacob Benesty, Israel Cohen, Jingdong Chen. 781-785 [doi]
• Polynomial Matrix Eigenvalue Decomposition of Spherical Harmonics for Speech EnhancementVincent W. Neo, Christine Evers, Patrick A. Naylor. 786-790 [doi]
• A Parametric Unconstrained Binaural Beamformer Based Noise Reduction and Spatial Cue Preservation for Hearing-Assistive DevicesJie Zhang. 791-795 [doi]
• A Simplified Wiener Beamformer Based on Covariance Matrix ModellingFan Zhang, Chao Pan, Jacob Benesty, Jingdong Chen. 796-800 [doi]
• Control Architecture of the Double-Cross-Correlation Processor for Sampling-Rate-Offset Estimation in Acoustic Sensor NetworksAleksej Chinaev, Sven Wienand, Gerald Enzner. 801-805 [doi]
• Deficient Basis Estimation of Noise Spatial Covariance Matrix for Rank-Constrained Spatial Covariance Matrix Estimation Method in Blind Speech ExtractionYuto Kondo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari. 806-810 [doi]
• Reducing Modal Error Propagation through Correcting Mismatched Microphone Gains Using RapidNoman Akbar, Glenn Dickins, Mark R. P. Thomas, Prasanga N. Samarasinghe, Thushara D. Abhayapala. 811-814 [doi]
• Evaluation and Comparison of Three Source Direction-of-Arrival Estimators Using Relative Harmonic CoefficientsYonggang Hu, Prasanga N. Samarasinghe, Sharon Gannot, Thushara D. Abhayapala. 815-819 [doi]
• Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor NetworksMichael Günther 0003, Haitham Afifi, Andreas Brendel, Holger Karl, Walter Kellermann. 820-824 [doi]
• Supervised Direct-Path Relative Transfer Function Learning for Binaural Sound Source LocalizationBing Yang, Xiaofei Li, Hong Liu 0008. 825-829 [doi]
• Cross-Modal Spectrum Transformation Network for Acoustic Scene ClassificationYang Liu, Alexandros Neophytou, Sunando Sengupta, Eric Sommerlade. 830-834 [doi]
• Domestic Activities Clustering From Audio Recordings Using Convolutional Capsule Autoencoder NetworkZiheng Lin, Yanxiong Li, Zhangjin Huang, Wenhao Zhang, Yufeng Tan, Yichun Chen, Qianhua He. 835-839 [doi]
• Sound Event Detection and Separation: A Benchmark on Desed Synthetic SoundscapesNicolas Turpault, Romain Serizel, Scott Wisdom, Hakan Erdogan, John R. Hershey, Eduardo Fonseca, Prem Seetharaman, Justin Salamon. 840-844 [doi]
• A Two-Stage Approach to Device-Robust Acoustic Scene ClassificationHu Hu, Chao-Han Huck Yang, Xianjun Xia, Xue Bai, Xin Tang, Yajian Wang, Shutong Niu, Li Chai 0002, Juanjuan Li, Hongning Zhu, Feng Bao, Yuanjun Zhao, Sabato Marco Siniscalchi, Yannan Wang, Jun Du, Chin-Hui Lee. 845-849 [doi]
• Subspectral Normalization for Neural Audio Data ProcessingSimyung Chang, Hyoungwoo Park, Janghoon Cho, Hyunsin Park, Sungrack Yun, Kyuwoong Hwang. 850-854 [doi]
• Slow-Fast Auditory Streams for Audio RecognitionEvangelos Kazakos, Arsha Nagrani, Andrew Zisserman, Dima Damen. 855-859 [doi]
• Impact of Sound Duration and Inactive Frames on Sound Event Detection PerformanceKeisuke Imoto, Sakiko Mishima, Yumi Arai, Reishi Kondo. 860-864 [doi]
• A New DCASE 2017 Rare Sound Event Detection Benchmark Under Equal Training Data: CRNN With Multi-Width KernelsJan Baumann, Patrick Meyer, Timo Lohrenz, Alexander Roy, Michael Papendieck, Tim Fingscheidt. 865-869 [doi]
• Room Adaptive Conditioning Method for Sound Event Classification in Reverberant EnvironmentsJaejun Lee, Donmoon Lee, Hyeong-Seok Choi, Kyogu Lee. 870-874 [doi]
• Sound Event Detection Based on Curriculum Learning Considering Learning Difficulty of EventsNoriyuki Tonami, Keisuke Imoto, Yuki Okamoto, Takahiro Fukumori, Yoichi Yamashita. 875-879 [doi]
• Sound Event Detection in Urban Audio with Single and Multi-Rate PcenChristopher Ick, Brian McFee. 880-884 [doi]
• An Improved Event-Independent Network for Polyphonic Sound Event Localization and DetectionYin Cao, Turab Iqbal, Qiuqiang Kong, Fengyan An, Wenwu Wang, Mark D. Plumbley. 885-889 [doi]
• Lightweight and Interpretable Neural Modeling of an Audio Distortion Effect Using Hyperconditioned Differentiable BiquadsShahan Nercessian, Andy Sarroff, Kurt James Werner. 890-894 [doi]
• Attacking and Defending Behind A Psychoacoustics-Based CaptchaChih-Hsiang Huang, Po-Hao Wu, Yi-Wen Liu, Shan-Hung Wu. 895-899 [doi]
• Double-DCCCAE: Estimation of Body Gestures From Speech WaveformJinHong Lu, Tianhang Liu, Shuzhuang Xu, Hiroshi Shimodaira. 900-904 [doi]
• Investigating Local and Global Information for Automated Audio Captioning with Transfer LearningXuenan Xu, Heinrich Dinkel, Mengyue Wu, Zeyu Xie, Kai Yu 0004. 905-909 [doi]
• Unidirectional Memory-Self-Attention Transducer for Online Speech RecognitionJian Luo, Jianzong Wang, Ning Cheng, Jing Xiao. 910-914 [doi]
• Accdoa: Activity-Coupled Cartesian Direction of Arrival Representation for Sound Event Localization And DetectionKazuki Shimada, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Yuki Mitsufuji. 915-919 [doi]
• Seen and Unseen Emotional Style Transfer for Voice Conversion with A New Emotional Speech DatasetKun Zhou, Berrak Sisman, Rui Liu 0008, Haizhou Li 0001. 920-924 [doi]
• U-Convolution Based Residual Echo Suppression with Multiple EncodersEesung Kim, Jae-Jin Jeon, Hyeji Seo. 925-929 [doi]
• A Multi-Channel Temporal Attention Convolutional Neural Network Model for Environmental Sound ClassificationYou Wang, Chuyao Feng, David V. Anderson. 930-934 [doi]
• A General Network Architecture for Sound Event Localization and Detection Using Transfer Learning and Recurrent Neural NetworkThi Ngoc Tho Nguyen, Ngoc Khanh Nguyen 0003, Huy Phan, Lam Pham, Kenneth Ooi, Douglas L. Jones, Woon-Seng Gan. 935-939 [doi]
• Robust Recursive Least M-Estimate Adaptive Filter for the Identification of Low-Rank Acoustic SystemsHongsen He, Jingdong Chen, Jacob Benesty, Yi Yu 0002. 940-944 [doi]
• Noise-Robust Adaptation Control for Supervised Acoustic System Identification Exploiting a Noise DictionaryThomas Haubner, Andreas Brendel, Mohamed Elminshawi, Walter Kellermann. 945-949 [doi]
• Interpolation of Irregularly Sampled Frequency Response Functions Using Convolutional Neural NetworksM. Acerbi, R. Malvermi, Mirco Pezzoli, Fabio Antonacci, Augusto Sarti, R. Corradi. 950-954 [doi]
• Effective Rank-Based Estimation of the Coherent-to-Diffuse Power RatioHeinrich W. Löllmann, Andreas Brendel, Walter Kellermann. 955-959 [doi]
• Room Impulse Response Interpolation from a Sparse Set of Measurements Using a Modal ArchitectureOrchisama Das, Paul Calamia, Sebastià V. Amengual Garí. 960-964 [doi]
• Processing Pipelines for Efficient, Physically-Accurate Simulation of Microphone Array Signals in Dynamic Sound ScenesAlastair H. Moore, Rebecca R. Vos, Patrick A. Naylor, Mike Brookes. 965-969 [doi]
• A Classifier for Improving Cause and Effect in SSVEP-based BCIs for Individuals with Complex Communication DisordersHadi Habibzadeh, Olivia Zhou, James J. S. Norton, Theresa M. Vaughan, Daphney-Stavroula Zois. 970-974 [doi]
• Saga: Sparse Adversarial Attack on EEG-Based Brain Computer InterfaceBoyuan Feng, Yuke Wang, Yufei Ding. 975-979 [doi]
• Riemannian Geometry on Connectivity for Clinical BCIMarie-Constance Corsi, Florian Yger, Sylvain Chevallier, Camille Noûs. 980-984 [doi]
• Decoding Music Attention from "EEG Headphones": A User-Friendly Auditory Brain-Computer InterfaceWinko W. An, Barbara G. Shinn-Cunningham, Hannes Gamper, Dimitra Emmanouilidou, David Johnston, Mihai Jalobeanu, Edward Cutrell, Andrew D. Wilson, Kuan-Jung Chiang, Ivan Tashev. 985-989 [doi]
• Mitigating Inter-Subject Brain Signal Variability FOR EEG-Based Driver Fatigue State ClassificationSunhee Hwang, Sungho Park, Dohyung Kim 0004, Jewook Lee, Hyeran Byun. 990-994 [doi]
• A Deep Spatio-Temporal Model for EEG-Based Imagined Speech RecognitionPradeep Kumar 0002, Erik J. Scheme. 995-999 [doi]
• Incorporating Uncertainty In Data Labeling Into Detection of Brain Interictal Epileptiform Discharges From EEG Using Weighted optimizationBahman Abdi-Sargezeh, Antonio Valentín, Gonzalo Alarcón, Saeid Sanei. 1000-1004 [doi]
• Multi-Level Reversible Encryption for ECG Signals Using Compressive SensingMikko Impiö, Mehmet Yamaç, Jenni Raitoharju. 1005-1009 [doi]
• Validating the Inspired Sinewave Technique to Measure Lung Heterogeneity Compared to Atelectasis & Over-Distended Volume in Computed Tomography ImagesMinh C. Tran, Phi Anh Phan, Douglas C. Crockett, Federico Formenti, John N. Cronin, Stephen J. Payne, Andrew D. Farmery. 1010-1014 [doi]
• A Patient-Invariant Model for Freezing of Gait Detection Aided by Wavelet DecompositionNasimuddin Ahmed, Shivam Singhal, Varsha Sharma, Sakyajit Bhattacharya, Aniruddha Sinha, Avik Ghose. 1015-1019 [doi]
• Identification of Uterine Contractions by An Ensemble of Gaussian ProcessesLiu Yang, Cassandra Heiselman, J. Gerald Quirk, Petar M. Djuric. 1020-1024 [doi]
• Arrhythmia Classification with Heartbeat-Aware TransformerBin Wang, Chang Liu, Chuanyan Hu, Xudong Liu, Jun Cao. 1025-1029 [doi]
• Multi-Level Group Testing with Application to One-Shot Pooled COVID-19 TestsAlejandro Cohen, Nir Shlezinger, Amit Solomon, Yonina C. Eldar, Muriel Médard. 1030-1034 [doi]
• Detection of Covid-19 Through the Analysis of Vocal Fold OscillationsMahmoud Al Ismail, Soham Deshmukh, Rita Singh. 1035-1039 [doi]
• Ct-Caps: Feature Extraction-Based Automated Framework for Covid-19 Disease Identification From Chest Ct Scans Using Capsule NetworksShahin Heidarian, Parnian Afshar, Arash Mohammadi 0001, Moezedin Javad Rafiee, Anastasia Oikonomou, Konstantinos N. Plataniotis, Farnoosh Naderkhani. 1040-1044 [doi]
• Few-Shot Learning for Ct Scan Based Covid-19 DiagnosisYifan Jiang, Han Chen, Hanseok Ko, David K. Han. 1045-1049 [doi]
• Graph-Based Pyramid Global Context Reasoning With a Saliency- Aware Projection for Covid-19 Lung Infections SegmentationHuimin Huang, Ming Cai, Lanfen Lin, Jing Zheng, Xiongwei Mao, Xiaohan Qian, Zhiyi Peng, Jianying Zhou 0006, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen 0001, Ruofeng Tong 0001. 1050-1054 [doi]
• Interpreting Glottal Flow Dynamics for Detecting Covid-19 From VoiceSoham Deshmukh, Mahmoud Al Ismail, Rita Singh. 1055-1059 [doi]
• Cycle Generative Adversarial Network Approaches to Produce Novel Portable Chest X-Rays Images for Covid-19 DiagnosisDaniel I. Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega. 1060-1064 [doi]
• EEG-Based Emotion Classification Using Graph Signal ProcessingSeyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin. 1065-1069 [doi]
• Granger Causality Based Directional Phase-Amplitude Coupling MeasureTamanna T. K. Munia, Selin Aviyente. 1070-1074 [doi]
• REPAC: Reliable Estimation of Phase-Amplitude Coupling in Brain NetworksGiulia Cisotto. 1075-1079 [doi]
• Subspace Oddity - Optimization on Product of Stiefel Manifolds for EEG DataMaria Sayu Yamamoto, Florian Yger, Sylvain Chevallier. 1080-1084 [doi]
• Decentralized Motion Inference and Registration of Neuropixel DataErdem Varol, Julien Boussard, Nishchal Dethe, Olivier Winter, Anne Urai, International Brain Laboratory, Anne Churchland, Nick Steinmetz, Liam Paninski. 1085-1089 [doi]
• Dynamic Graph Learning Based on Graph LaplacianBo Jiang, Yiyi Yu, Hamid Krim, Spencer L. Smith. 1090-1094 [doi]
• Mutual Information Flows in a Bivariate Point ProcessSyed Ahmed Pasha, Victor Solo. 1095-1099 [doi]
• Uncertainty-Based Biological Age Estimation of Brain MRI ScansKarim Armanious, Sherif Abdulatif, Wenbin Shi, Tobias Hepp, Sergios Gatidis, Bin Yang. 1100-1104 [doi]
• Sparse Representation of Complex-Valued fMRI Data Based on Hard Thresholding of Spatial Source PhaseJia-Yang Song, Miao-Ying Qi, Dun-Pei Lv, Chao-Ying Zhang, Qiu-Hua Lin, Vince D. Calhoun. 1105-1109 [doi]
• Tucker Decomposition for Extracting Shared and Individual Spatial Maps from Multi-Subject Resting-State fMRI DataYue Han, Qiu-Hua Lin, Li-Dan Kuang, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun. 1110-1114 [doi]
• Riemannian Geometry-Based Decoding of the Directional Focus of Auditory Attention Using EEGSimon Geirnaert, Tom Francart, Alexander Bertrand. 1115-1119 [doi]
• DFDM: A Deep Feature Decoupling Module for Lung Nodule SegmentationWei Chen, Qiuli Wang 0001, Sheng Huang, Xiaohong Zhang, Yucong Li, Chen Liu. 1120-1124 [doi]
• Pyramid U-Net for Retinal Vessel SegmentationJiawei Zhang, Yanchun Zhang, Xiaowei Xu. 1125-1129 [doi]
• A Probabilistic Model for Segmentation of Ambiguous 3D Lung NoduleXiaojiang Long, Wei Chen, Qiuli Wang 0001, Xiaohong Zhang, Chen Liu, Yucong Li, Jiuquan Zhang. 1130-1134 [doi]
• Semi-Supervised Skin Lesion Segmentation with Learning Model ConfidenceZhiqiang Xie, Enmei Tu, Hao Zheng, Yun Gu, Jie Yang 0002. 1135-1139 [doi]
• A Hybrid Feature Enhancement Method for Gl And Segmentation In Histopathology ImagesXiangjiang Wu, Xuanya Li, Kai Hu 0002, Zhineng Chen, Xieping Gao. 1140-1144 [doi]
• Automated Multi-Organ Segmentation in Pet Images Using Cascaded Training of a 3d U-Net and Convolutional AutoencoderAnnika Liebgott, Charlotte Lorenz, Sergios Gatidis, Viet Chau Vu, Konstantin Nikolaou, Bin Yang. 1145-1149 [doi]
• Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-MaskingBurhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Mehmet Akçakaya. 1150-1154 [doi]
• Fine-Grained Mri Reconstruction Using Attentive Selection Generative Adversarial NetworksJingshuai Liu, Mehrdad Yaghoobi. 1155-1159 [doi]
• Ensure: Ensemble Stein's Unbiased Risk Estimator for Unsupervised LearningHemant Kumar Aggarwal, Aniket Pramanik, Mathews Jacob. 1160-1164 [doi]
• Ultrasound Elasticity Imaging Using Physics-Based Models and Learning-Based Plug-and-Play PriorsNarges Mohammadi, Marvin M. Doyley, Müjdat Çetin. 1165-1169 [doi]
• A Periodic Frame Learning Approach for Accurate Landmark Localization in M-Mode EchocardiographyYinbing Tian, Shibiao Xu, Li Guo, Fu'ze Cong. 1170-1174 [doi]
• A Bias-Reducing Loss Function for CT Image DenoisingMadhuri Nagare, Roman Melnyk, Obaidullah Rahman, Ken D. Sauer, Charles A. Bouman. 1175-1179 [doi]
• Learning Binary Semantic Embedding for Breast Histology Image Classification and RetrievalXiao Kang, Xingbo Liu, Xiushan Nie, Yilong Yin. 1180-1184 [doi]
• Channel Attention Residual U-Net for Retinal Vessel SegmentationChanglu Guo, Márton Szemenyei, Yangtao Hu, Wenle Wang, Wei Zhou, Yugen Yi. 1185-1189 [doi]
• CMIM: Cross-Modal Information Maximization For Medical ImagingTristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di-Jorio, Margaux Luck, R. Devon Hjelm, Yoshua Bengio. 1190-1194 [doi]
• Structure-Enhanced Attentive Learning For Spine Segmentation From Ultrasound Volume Projection ImagesRui Zhao, Zixun Huang, Tianshan Liu, Frank H. F. Leung, Sai-Ho Ling, De Yang, Timothy Tin-Yan Lee, Daniel Pak-Kong Lun, Yong-Ping Zheng, Kin-Man Lam 0001. 1195-1199 [doi]
• Foveal Avascular Zone Segmentation of Octa Images Using Deep Learning Approach with Unsupervised Vessel SegmentationZhijin Liang, Junkang Zhang, Cheolhong An. 1200-1204 [doi]
• Acute Lymphoblastic Leukemia Detection Based on Adaptive Unsharpening and Deep LearningAngelo Genovese, Mahdi S. Hosseini, Vincenzo Piuri, Konstantinos N. Plataniotis, Fabio Scotti. 1205-1209 [doi]
• Meta Ordinal Weighting Net For Improving Lung Nodule ClassificationYiming Lei, Hongming Shan, Junping Zhang. 1210-1214 [doi]
• Deepnodule: Multi-Task Learning of Segmentation Bootstrap for Pulmonary Nodule DetectionJingqin Li, Kun Wang, Dan Yang, Xiaohong Zhang, Chen Liu. 1215-1219 [doi]
• Dense Attention Module for Accurate Pulmonary Nodule DetectionJiannan Liu, Jie Li, Fanyong Xue, Chentao Wu. 1220-1224 [doi]
• Unsupervised Multimodal Image Registration with Adaptative Gradient GuidanceZhe Xu, Jiangpeng Yan, Jie Luo, Xiu Li, Jayender Jagadeesan. 1225-1229 [doi]
• Improving Intraoperative Liver Registration in Image-Guided Surgery with Learning-Based ReconstructionMeng Jia, Matthew Kyan. 1230-1234 [doi]
• A New Framework Based on Transfer Learning for Cross-Database Pneumonia DetectionXinxin Shan, Ying Wen. 1235-1239 [doi]
• Hierarchical Attention-Based Temporal Convolutional Networks for Eeg-Based Emotion RecognitionChao Li, Boyang Chen, Ziping Zhao, Nicholas Cummins, Björn W. Schuller. 1240-1244 [doi]
• Deep Multiway Canonical Correlation Analysis For Multi-Subject Eeg NormalizationJaswanth Reddy Katthi, Sriram Ganapathy. 1245-1249 [doi]
• Dynamic Graph Modeling Of Simultaneous EEG And Eye-Tracking Data For Reading Task IdentificationPuneet Mathur, Trisha Mittal, Dinesh Manocha. 1250-1254 [doi]
• Learning From Heterogeneous Eeg Signals with Differentiable Channel ReorderingAaqib Saeed, David Grangier, Olivier Pietquin, Neil Zeghidour. 1255-1259 [doi]
• Enhancing Multi-Channel Eeg Classification with Gramian Temporal Generative Adversarial NetworksChi Nok Enoch Kan, Richard J. Povinelli, Dong Hye Ye. 1260-1264 [doi]
• A Novel Convolutional Neural Network Model to Remove Muscle Artifacts from EEGHaoming Zhang, Chen Wei, Mingqi Zhao, Quanying Liu, Haiyan Wu. 1265-1269 [doi]
• Multilabel 12-Lead Electrocardiogram Classification Using Beat to Sequence AutoencodersAlexander William Wong, Amir Salimi, Abram Hindle, Sunil Vasu Kalmady, Padma Kaul. 1270-1274 [doi]
• Contrastive Embeddind Learning Method for Respiratory Sound ClassificationWenjie Song 0003, Jiqing Han, Hongwei Song. 1275-1279 [doi]
• Decoding Neural Representations of Rhythmic Sounds From MagnetoencephalographyPei-Chun Chang, Jia-Ren Chang, Po-Yu Chen, Li-Kai Cheng, Jen-Chuen Hsieh, Hsin-Yen Yu, Li-Fen Chen, Yong-Sheng Chen. 1280-1284 [doi]
• Low-Dimensional Denoising Embedding Transformer for ECG ClassificationJian Guan, Wenbo Wang, Pengming Feng, Xinxin Wang, Wenwu Wang. 1285-1289 [doi]
• Self-Supervised Learning for Sleep Stage Classification with Predictive and Discriminative Contrastive CodingQinfeng Xiao, Jing Wang, Jianan Ye, Hongjun Zhang, Yuyan Bu, Yiqiong Zhang, Hao Wu. 1290-1294 [doi]
• Length No Longer Matters: A Real Length Adaptive Arrhythmia Classification Model with Multi-Scale ConvolutionChuanqi Han, Fang Yu, Peng Wang, Ruoran Huang, Xi Huang, Li Cui. 1295-1299 [doi]
• Few-Shot Learning for Decoding Surface Electromyography for Hand Gesture RecognitionElahe Rahimian, Soheil Zabihi, Amir Asif, Seyed Farokh Atashzar, Arash Mohammadi 0001. 1300-1304 [doi]
• Deep Lung Auscultation Using Acoustic Biomarkers for Abnormal Respiratory Sound Event DetectionUpasana Tiwari, Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu. 1305-1309 [doi]
• Speaker-Independent Brain Enhanced Speech DenoisingMaryam Hosseini, Luca Celotti, Eric Plourde. 1310-1314 [doi]
• Shapelet Based Visual Assessment of Cluster Tendency in Analyzing Complex Upper Limb MotionShreyasi Datta, Chandan K. Karmakar, Punit Rathore, Marimuthu Palaniswami. 1315-1319 [doi]
• Human-Centered Favorite Music Classification Using EEG-Based Individual Music Preference Via Deep Time-Series CCARyosuke Sawata, Takahiro Ogawa, Miki Haseyama. 1320-1324 [doi]
• Multi-Scale and Multi-Region Facial Discriminative Representation for Automatic Depression Level PredictionMingyue Niu, Jianhua Tao, Bin Liu. 1325-1329 [doi]
• ECG Heart-Beat Classification Using Multimodal Image FusionZeeshan Ahmad, Anika Tabassum, Ling Guan, Naimul Khan. 1330-1334 [doi]
• Estimation of Visual Features of Viewed Image From Individual and Shared Brain Information Based on FMRI Data Using Probabilistic Generative ModelTakaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. 1335-1339 [doi]
• Hierarchical Pose Classification for Infant Action Analysis and Mental Development AssessmentJianXiong Zhou, Zhongyu Jiang, Jang-Hee Yoo, Jenq-Neng Hwang. 1340-1344 [doi]
• On The Relationship Between Speech-Based Breathing Signal Prediction Evaluation Measures and Breathing Parameters EstimationZohreh Mostaani, Venkata Srikanth Nallanthighal, Aki Härmä, Helmer Strik, Mathew Magimai-Doss. 1345-1349 [doi]
• Prediction of Egfr Mutation Status in Lung Adenocarcinoma Using Multi-Source Feature RepresentationsJianhong Cheng, Jin Liu, Meilin Jiang, Hailin Yue, Lin Wu, Jianxin Wang 0001. 1350-1354 [doi]
• Training Neural Networks with Domain Pattern-Aware Auxiliary Task for Sleep StagingTaeheon Lee, Jeonghwan Hwang, Honggu Lee. 1355-1359 [doi]
• Classification of Expert-Novice Level Using Eye Tracking And Motion Data via Conditional Multimodal Variational AutoencoderYusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. 1360-1364 [doi]
• Gate Trimming: One-Shot Channel Pruning for Efficient Convolutional Neural NetworksFang Yu, Chuanqi Han, Pengcheng Wang, Xi Huang, Li Cui. 1365-1369 [doi]
• 3PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative ModelsChristopher A. Metzler, Gordon Wetzstein. 1370-1374 [doi]
• Adversarial Attacks on Object Detectors with Limited PerturbationsZhenbo Shi, Wei Yang 0011, Zhenbo Xu, Zhi Chen, Yingjie Li, Haoran Zhu, Liusheng Huang. 1375-1379 [doi]
• A Consensus Equilibrium Solution For Deep Image Prior Powered By RedRakib Hyder, Hassan Mansour, Yanting Ma, Petros T. Boufounos, Pu Wang. 1380-1384 [doi]
• Suremap: Predicting Uncertainty in Cnn-Based Image Reconstructions Using Stein's Unbiased Risk EstimateRuangrawee Kitichotkul, Christopher A. Metzler, Frank Ong, Gordon Wetzstein. 1385-1389 [doi]
• Multi-Initialization Meta-Learning with Domain AdaptationZhengyu Chen, Donglin Wang. 1390-1394 [doi]
• Stochastic Deep Unfolding for Imaging Inverse ProblemsJiaming Liu, Yu Sun 0022, Weijie Gan, Xiaojian Xu, Brendt Wohlberg, Ulugbek S. Kamilov. 1395-1399 [doi]
• Fusion-Based Digital Image Correlation Framework for Strain MeasurementLaixi Shi, Dehong Liu, Masaki Umeda, Norihiko Hana. 1400-1404 [doi]
• Learning Sparsifying Transforms for Image Reconstruction in Electrical Impedance TomographyKaiyi Yang, Narong Borijindargoon, Boon Poh Ng, Saiprasad Ravishankar, Bihan Wen. 1405-1409 [doi]
• D-VDAMP: Denoising-Based Approximate Message Passing for Compressive MRIChristopher A. Metzler, Gordon Wetzstein. 1410-1414 [doi]
• Empirically Accelerating Scaled Gradient Projection Using Deep Neural Network for Inverse Problems in Image ProcessingByung-Hyun Lee, Se Young Chun. 1415-1419 [doi]
• Synthetic Aperture Acoustic Imaging with Deep Generative Model Based Source Distribution PriorBoqiang Fan, Samarjit Das. 1420-1424 [doi]
• Non-Local Single Image DE-Raining Without DecompositionChaobing Zheng, Zhengguo Li, Yuwen Li, Shiqian Wu. 1425-1429 [doi]
• Frame-Rate-Aware Aggregation for Efficient Video Super-ResolutionTakashi Isobe, Fang Zhu, Shengjin Wang. 1430-1434 [doi]
• Measurement Coding Framework with Adjacent Pixels Based Measurement Matrix for Compressively Sensed ImagesRentao Wan, Jinjia Zhou, Bowen Huang, Hui Zeng, Yibo Fan. 1435-1439 [doi]
• Multiview Sensing with Unknown Permutations: an Optimal Transport ApproachYanting Ma, Petros T. Boufounos, Hassan Mansour, Shuchin Aeron. 1440-1444 [doi]
• A High-Frame-Rate Eye-Tracking Framework for Mobile DevicesYuhu Chang, Changyang He, Yingying Zhao, Tun Lu, Ning Gu. 1445-1449 [doi]
• Catiloc: Camera Image Transformer for Indoor LocalizationAli Ghofrani, Rahil Mahdian Toroghi, Seyed Mojtaba Tabatabaie. 1450-1454 [doi]
• Sar Image Autofocusing Using Wirtinger Calculus and Cauchy RegularizationZi-Yao Zhang, Odysseas A. Pappas, Alin Achim. 1455-1459 [doi]
• A Homogeneity-Based Multiscale Hyperspectral Image Representation for Sparse Spectral UnmixingLuciano C. Ayres, Sérgio J. M. de Almeida, José C. M. Bermudez, Ricardo Augusto Borsoi. 1460-1464 [doi]
• Learning to Estimate Kernel Scale and Orientation of Defocus Blur with Asymmetric Coded ApertureJiSheng Li, Qi Dai, Jiangtao Wen. 1465-1469 [doi]
• Transmittance Regularizer for Binary coded Aperture Design in a Computational Imaging end-to-end ApproachJorge Bacca, Tatiana Gelvez, Henry Arguello. 1470-1474 [doi]
• Fourier Transformation Autoencoders for Anomaly DetectionDemetris Lappas, Vasileios Argyriou, Dimitrios Makris 0001. 1475-1479 [doi]
• Zero-Gradient Constraints for Destriping of Remote-Sensing DataKazuki Naganuma, Saori Takeyama, Shunsuke Ono. 1480-1484 [doi]
• Selection Based on Statistical Characteristics for Object DetectionZhiguo Li, Yuan Yuan 0001, Dandan Ma. 1485-1489 [doi]
• CSPN: Multi-Scale Cascade Spatial Pyramid Network for Object DetectionTianyuan Wang, Can Ma, Haoshan Su, Weiping Wang 0005. 1490-1494 [doi]
• Dual-Stream Network Based On Global Guidance for Salient Object DetectionShuyong Gao, Qianyu Guo, Wei Zhang, Wenqiang Zhang, Zhongwei Ji. 1495-1499 [doi]
• SSFENet: Spatial and Semantic Feature Enhancement Network for Object DetectionTianyuan Wang, Can Ma, Haoshan Su, Weiping Wang 0005. 1500-1504 [doi]
• Saliency-Driven Versatile Video Coding for Neural Object DetectionKristian Fischer, Felix Fleckenstein, Christian Herglotz, André Kaup. 1505-1509 [doi]
• Object-Oriented Relational Distillation for Object DetectionShuyu Miao, Rui Feng. 1510-1514 [doi]
• Ensembling Object Detectors for Image and Video Data AnalysisKateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj. 1515-1519 [doi]
• Training Real-Time Panoramic Object Detectors with Virtual DatasetQing-Yang Shen, Tian-Guo Huang, Peng-Xin Ding, Jia He. 1520-1524 [doi]
• Fast: Feature Aggregation for Detecting Salient Object in Real-TimeLv Tang, Bo Li, Yanliang Wu, Bo Xiao, Shouhong Ding. 1525-1529 [doi]
• Exploiting the Dual-Tree Complex Wavelet Transform for Ship Wake Detection in SAR ImageryWanli Ma, Alin Achim, Oktay Karakus. 1530-1534 [doi]
• Task-Related Self-Supervised Learning For Remote Sensing Image Change DetectionZhinan Cai, Zhiyu Jiang, Yuan Yuan 0001. 1535-1539 [doi]
• Unsupervised Common Particular Object Discovery and Localization by Analyzing a Match GraphMakoto Okuda, Shin'ichi Satoh, Yoichi Sato, Yutaka Kidawara. 1540-1544 [doi]
• Predictive Coding for Lossless Dataset CompressionMadeleine Barowsky, Alexander Mariona, Flávio P. Calmon. 1545-1549 [doi]
• Adaptive Dual Tree Structure For Screen Content CodingWeijia Zhu, Jizheng Xu, Li Zhang 0006, Yue Wang. 1550-1554 [doi]
• SNR-Adaptive Deep Joint Source-Channel Coding for Wireless Image TransmissionMingze Ding, Jiahui Li, Mengyao Ma, Xiaopeng Fan. 1555-1559 [doi]
• Relying on a Rate Constraint to Reduce Motion Estimation ComplexityGabriel B. Sant'Anna, Luiz Henrique Cancellier, Ismael Seidel, Mateus Grellert, José Luís Güntzel. 1560-1564 [doi]
• A Novel Viewport-Adaptive Motion Compensation Technique for Fisheye VideoAndy Regensky, Christian Herglotz, André Kaup. 1565-1569 [doi]
• Rate-Distortion Optimized Motion Estimation for on-the-Sphere Compression of 360 VideosAlban Marie, Navid Mahmoudian Bidgoli, Thomas Maugey, Aline Roumy. 1570-1574 [doi]
• Adaptive GOP Size Decision for Multi-Pass Video Coding Based on Hidden Markov ModelBohan Li, Jingning Han, Yaowu Xu. 1575-1579 [doi]
• Improved Intra Mode Coding Beyond Av1Yize Jin, Liang Zhao, Xin Zhao, Shan Liu 0001, Alan C. Bovik. 1580-1584 [doi]
• Decision Tree Based Inter Partition Termination For Av1 EncodingXinyao Chen, YiWei Zhang, Yanghao Li, Jiangtao Wen. 1585-1589 [doi]
• Image Coding For Machines: an End-To-End Learned ApproachNam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Esa Rahtu. 1590-1594 [doi]
• Sparse Flow Adversarial Model For Robust Image CompressionShihui Zhao, Shuyuan Yang, Zhi Liu, Zhixi Feng, Xu Liu 0006. 1595-1599 [doi]
• HVS-Based Perceptual Color Compression of Image DataLee Prangnell, Victor Sanchez. 1600-1604 [doi]
• HOCA: Higher-Order Channel Attention for Single Image Super-ResolutionYalei Lv, Tao Dai, Bin Chen, Jian Lu, Shu-Tao Xia, Jingchao Cao. 1605-1609 [doi]
• Image Super-Resolution Using Multi-Resolution Attention NetworkAnqi Liu, Sumei Li, Yongli Chang. 1610-1614 [doi]
• Real Image Super-Resolution Using Token Based Contextual AttentionZhihong Pan, Baopu Li. 1615-1619 [doi]
• Feature Redundancy Mining: Deep Light-Weight Image Super-Resolution ModelJun Xiao, Wenqi Jia, Kin-Man Lam 0001. 1620-1624 [doi]
• Lightweight Non-Local Network for Image Super-ResolutionRisheng Wang, Tao Lei, Wenzheng Zhou, Qi Wang, Hongying Meng, Asoke K. Nandi. 1625-1629 [doi]
• Lightweight and Accurate Single Image Super-Resolution with Channel Segregation NetworkZhonghan Niu, Xi-Peng Lin, An-Ni Yu, Yang-Hao Zhou, Yu-Bin Yang. 1630-1634 [doi]
• Deep Learning Architectural Designs for Super-Resolution Of Noisy ImagesAngel Villar-Corrales, Franziska Schirrmacher, Christian Riess. 1635-1639 [doi]
• Joint Coupled Transform Learning Framework for Multimodal Image Super-ResolutionAndrew Gigie, Achanna Anil Kumar, Angshul Majumdar, Kriti Kumar, M. Girish Chandra. 1640-1644 [doi]
• Hyperspectral Image Super-Resolution Via Adjacent Spectral Fusion StrategyQiang Li, Qi Wang 0009, Xuelong Li. 1645-1649 [doi]
• Raw Data Processing for Practical Time-of-Flight Super-ResolutionMiguel Heredia Conde. 1650-1654 [doi]
• Edge-Aware Multi-Scale Progressive ColorizationJun Xia, Guanghua Tan, Yi Xiao, Fangqiang Xu, Chi-Sing Leung. 1655-1659 [doi]
• Learning Representation of Multi-Scale Object for Fine-Grained Image RetrievalKangbo Sun, Jie Zhu. 1660-1664 [doi]
• Super-Resolution and Infection Edge Detection Co-Guided Learning for Covid-19 Ct SegmentationYu Sang, Jinguang Sun, Si-Miao Wang, Heng Qi, Keqiu Li. 1665-1669 [doi]
• Gating Feature Dense Network for Single Anisotropic Mr Image Super-ResolutionWeidong He, Yangjinan Hu, Lulu Wang, Zhongshi He, Jinglong Du. 1670-1674 [doi]
• Adaptable Ensemble DistillationYankai Wang, Dawei Yang, Wei Zhang, Zhe Jiang 0004, Wenqiang Zhang. 1675-1679 [doi]
• A Scale Invariant Measure of Flatness for Deep Network MinimaAkshay Rangamani, Nam H. Nguyen, Abhishek Kumar, Dzung T. Phan, Sang Peter Chin, Trac D. Tran. 1680-1684 [doi]
• Multi-Order Adversarial Representation Learning for Composed Query Image RetrievalZhixiao Fu, Xinyuan Chen, Jianfeng Dong, Shouling Ji. 1685-1689 [doi]
• Deep Neural Networks with Flexible Complexity While Training Based on Neural Ordinary Differential EquationsZhengbo Luo, Sei-ichiro Kamata, Zitang Sun, Weilian Zhou. 1690-1694 [doi]
• Improving Memory Banks for Unsupervised Learning with Large Mini-Batch, Consistency and Hard Negative MiningAdrian Bulat, Enrique Sánchez-Lozano, Georgios Tzimiropoulos. 1695-1699 [doi]
• Robust Binary Loss for Multi-Category Classification with Label NoiseDefu Liu 0001, Guowu Yang, Jinzhao Wu, Jiayi Zhao, Fengmao Lv. 1700-1704 [doi]
• A Plug and Play Fast Intersection Over Union Loss for Boundary Box RegressionZengsheng Kuang, Xian Fang, Ruixun Zhang, Xiuli Shao, Hongpeng Wang. 1705-1709 [doi]
• Attribute Decomposition for Flow-Based Domain MappingSheng-Jhe Huang, Jen-Tzung Chien. 1710-1714 [doi]
• Ada-Sise: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural NetworksMahesh Sudhakar, Sam Sattarzadeh, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim. 1715-1719 [doi]
• Network Pruning Using Linear Dependency Analysis on Feature MapsHao Pan, Zhongdi Chao, Jiang Qian, BoJin Zhuang, Shaojun Wang, Jing Xiao. 1720-1724 [doi]
• Multiple-Input Multiple-Output Fusion Network for Generalized Zero-Shot LearningFangming Zhong, Guangze Wang, Zhikui Chen, Xu Yuan, Feng Xia 0001. 1725-1729 [doi]
• Representative Local Feature Mining for Few-Shot LearningKun Yan, Lingbo Liu, Jun Hou, Ping Wang 0003. 1730-1734 [doi]
• KAN: Knowledge-Augmented Networks for Few-Shot LearningZeyang Zhu, Xin Lin. 1735-1739 [doi]
• Few-Shot Image Classification with Multi-Facet PrototypesKun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert. 1740-1744 [doi]
• Self-Supervised Learning for Few-Shot Image ClassificationDa Chen, Yuefeng Chen, Yuhong Li, Feng Mao, Yuan He, Hui Xue. 1745-1749 [doi]
• Domain Adaptation for Learning Generator From Paired Few-Shot DataChun-Chih Teng, Pin-Yu Chen, Wei-chen Chiu. 1750-1754 [doi]
• Deep Semi-Supervised Metric Learning Via Identification of Manifold MembershipsFuren Zhuang, Pierre Moulin. 1755-1759 [doi]
• A Ranked Similarity Loss Function with pair Weighting for Deep Metric LearningJian Wang, Zhichao Zhang, Dongmei Huang, Wei Song, Quanmiao Wei, Xinyue Li. 1760-1764 [doi]
• Statistical Distance Metric Learning for Image Set RetrievalTing-Yao Hu, Alexander G. Hauptmann. 1765-1769 [doi]
• Distribution-Aware Hierarchical Weighting Method for Deep Metric LearningYinong Zhu, Yong Feng 0002, Mingliang Zhou, Baohua Qiang, Leong Hou U, Jiajie Zhu. 1770-1774 [doi]
• Integrated Grad-Cam: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks Via Integrated Gradient-Based ScoringSam Sattarzadeh, Mahesh Sudhakar, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim. 1775-1779 [doi]
• Visualizing Association in Exemplar-Based ClassificationTaiga Kashima, Ryuichiro Hataya, Hideki Nakayama. 1780-1784 [doi]
• HFGCNET: High-Frequency Graph Reasoning for Finer Semantic Image SegmentationZitang Sun, Ruojing Wang, Zhengbo Luo, Weili Chen. 1785-1789 [doi]
• Unsupervised Image Segmentation with Spatial Triplet Markov TreesHugo Gangloff, Jean-Baptiste Courbot, Emmanuel Monfrini, Christophe Collet 0001. 1790-1794 [doi]
• Cross Scene Video Foreground Segmentation Via Co-Occurrence Probability Oriented Supervised and Unsupervised Model InteractionDong Liang, Bin Kang, Xinyu Liu, Han Sun, Liyan Zhang, Ningzhong Liu. 1795-1799 [doi]
• Instance Segmentation with the Number of Clusters Incorporated in Embedding LearningJianfeng Cao, Hong Yan 0001. 1800-1804 [doi]
• Decouple the High-Frequency and Low-Frequency Information of Images for Semantic SegmentationLianlei Shan, Xiaobin Li 0006, Weiqiang Wang. 1805-1809 [doi]
• MPDNet: A 3D Missing Part Detection Network Based on Point Cloud SegmentationZhaoxin Fan, Hongyan Liu, Jun He 0008, Min Zhang, Xiaoyong Du 0001. 1810-1814 [doi]
• SM+: Refined Scale Match for Tiny Person DetectionNan Jiang, Xuehui Yu, Xiaoke Peng, Yuqi Gong, Zhenjun Han. 1815-1819 [doi]
• Sub-Band Grouping Spectral Feature-Attention Block for Hyperspectral Image ClassificationWeilian Zhou, Sei-ichiro Kamata, Zhengbo Luo. 1820-1824 [doi]
• Unsupervised Stacked Capsule Autoencoder for Hyperspectral Image ClassificationErting Pan, Yong Ma 0001, Xiaoguang Mei, Fan Fan 0001, Jiayi Ma 0001. 1825-1829 [doi]
• Robust Graph Autoencoder for Hyperspectral Anomaly DetectionGanghui Fan, Yong Ma 0001, Jun Huang 0008, Xiaoguang Mei, Jiayi Ma 0001. 1830-1834 [doi]
• Reflectance-Oriented Probabilistic Equalization for Image EnhancementXiaomeng Wu, Yongqing Sun, Akisato Kimura, Kunio Kashino. 1835-1839 [doi]
• PD-GAN: Perceptual-Details GAN for Extremely Noisy Low Light Image EnhancementYijun Liu, Zhengning Wang, Yi Zeng, Hao Zeng, Deming Zhao. 1840-1844 [doi]
• Heterogeneous two-Stream Network with Hierarchical Feature Prefusion for Multispectral Pan-SharpeningDong Wang, Yunpeng Bai, Bendu Bai, Chanyue Wu, Ying Li. 1845-1849 [doi]
• Synergic Feature Attention for Image RestorationChong Mou, Jian Zhang. 1850-1854 [doi]
• Efficient Multi-Objective GANs for Image RestorationJingwen Su, Hujun Yin. 1855-1859 [doi]
• Self-Convolution: A Highly-Efficient Operator for Non-Local Image RestorationLanqing Guo, Zhiyuan Zha, Saiprasad Ravishankar, Bihan Wen. 1860-1864 [doi]
• NMF-SAE: An Interpretable Sparse Autoencoder for Hyperspectral UnmixingFengchao Xiong, Jun Zhou 0001, Minchao Ye, Jianfeng Lu 0003, Yuntao Qian. 1865-1869 [doi]
• An ADMM Based Network for Hyperspectral Unmixing TasksChao Zhou, Miguel R. D. Rodrigues. 1870-1874 [doi]
• Variational Autoencoders for Hyperspectral Unmixing with Endmember VariabilityShuaikai Shi, Min Zhao, Lijun Zhang, Jie Chen. 1875-1879 [doi]
• Augmented Gaussian Linear Mixture Model for Spectral Variability in Hyperspectral UnmixingYaser Esmaeili Salehani, Ehsan Arabnejad, Saeed Gazor. 1880-1884 [doi]
• UTDN: An Unsupervised Two-Stream Dirichlet-Net for Hyperspectral UnmixingQiwen Jin, Yong Ma 0001, Xiaoguang Mei, Hao Li 0034, Jiayi Ma 0001. 1885-1889 [doi]
• Laplacian Regularized Tensor Low-Rank Minimization for Hyperspectral Snapshot Compressive ImagingYi Yang, Fei Jiang, Hongtao Lu. 1890-1894 [doi]
• Compressing Local Descriptor Models for Mobile ApplicationsRoy Miles, Krystian Mikolajczyk. 1895-1899 [doi]
• VK-Net: Category-Level Point Cloud Registration with Unsupervised Rotation Invariant KeypointsZhi Chen, Wei Yang, Zhenbo Xu, Zhenbo Shi, Liusheng Huang. 1900-1904 [doi]
• Matching as Color Images: Thermal Image Local Feature Detection and DescriptionBhavesh Deshpande, Sourabh Hanamsheth, Yawen Lu, Guoyu Lu. 1905-1909 [doi]
• Frame Rate Up-Conversion Using Key Point Agnostic Frequency-Selective Mesh-to-Grid ResamplingViktoria Heimann, Andreas Spruck, André Kaup. 1910-1914 [doi]
• Efficient Real-Time Video Stabilization with a Novel Least Squares FormulationJianwei Ke, Alex J. Watras, Jae-Jun Kim, Hewei Liu, Hongrui Jiang, Yu Hen Hu. 1915-1919 [doi]
• Decomposing Textures using Exponential AnalysisYuan Hou, Annie A. M. Cuyt, Wen-shin Lee, Deepayan Bhowmik. 1920-1924 [doi]
• G-Arrays: Geometric Arrays for Efficient Point Cloud ProcessingHoda Roodaki, Masoud Dehyadegari, Mahdi Nazm Bojnordi. 1925-1929 [doi]
• QoE-Driven and Tile-Based Adaptive Streaming for Point CloudsLisha Wang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong. 1930-1934 [doi]
• Dynamic Point Cloud Compression Using A Cuboid Oriented Discrete Cosine Based Motion ModelAshek Ahmmed, Manoranjan Paul, M. Manzur Murshed, David Taubman. 1935-1939 [doi]
• An Adaptive Pyramid Single-View Depth Lookup Table Coding MethodYangang Cai, Ronggang Wang, Song Gu, Jian Zhang 0018, Wen Gao 0001. 1940-1944 [doi]
• Patch Decoder-Side Depth Estimation In Mpeg Immersive VideoMarta Milovanovic, Félix Henry, Marco Cagnazzo, Joël Jung. 1945-1949 [doi]
• Geometry Consistency Of Augmented Reality Based On SemanticsHongyan Quan, Mingwei Yao, Xiaoxiao Qian. 1950-1954 [doi]
• What And Where To Focus In Person SearchTong Zhou, Kun Tian. 1955-1959 [doi]
• Stable and Effective One-Step Method for Person SearchNing Lv, Xuezhi Xiang, Xinyao Wang, Jie Yang, Rokia Abdeen, Abdulmotaleb El-Saddik. 1960-1964 [doi]
• An Adaptive Part-Based Model For Person Re-IdentificationXi-Peng Lin, Yu-Bin Yang. 1965-1969 [doi]
• Crowd Counting Via Multi-Level Regression With Latent Gaussian MapsYukang Gao, Hua Yang. 1970-1974 [doi]
• Lightweight Dual-Task Networks For Crowd Counting In Aerial ImagesYe Tian, Chengzhen Duan, Ruilin Zhang, Zhiwei Wei, Hongpeng Wang. 1975-1979 [doi]
• SANet++: Enhanced Scale Aggregation with Densely Connected Feature Fusion for Crowd CountingSiyang Pan, Yanyun Zhao, Fei Su, Zhicheng Zhao. 1980-1984 [doi]
• Attentive Semantic Exploring for Manipulated Face DetectionZehao Chen, Hua Yang. 1985-1989 [doi]
• Efficient Face Manipulation Via Deep Feature Disentanglement And Reintegration NetBin Cheng, Tao Dai, Bin Chen, Shutao Xia, Xiu Li. 1990-1994 [doi]
• Continuous Face Aging Generative Adversarial NetworksSeogkyu Jeon, Pilhyeon Lee, Kibeom Hong, Hyeran Byun. 1995-1999 [doi]
• Fast Inverse Mapping of Face GANsNicky Bayat, Vahid Reza Khazaie, Yalda Mohsenzadeh. 2000-2004 [doi]
• Multi-Level Adaptive Region of Interest and Graph Learning for Facial Action Unit RecognitionJingwei Yan, Boyuan Jiang, Jingjing Wang 0005, Qiang Li, Chunmao Wang, Shiliang Pu. 2005-2009 [doi]
• Bridging Unpaired Facial Photos and Sketches by Line-DrawingsMeimei Shang, Fei Gao, Xiang Li, Jingjie Zhu, Lingna Dai. 2010-2014 [doi]
• Temporal Rain Decomposition with Spatial Structure Guidance for Video DerainingXinwei Xue, Ying Ding, Long Ma 0002, Yi Wang, Risheng Liu, Xin Fan 0001. 2015-2019 [doi]
• GTA-Net: Gradual Temporal Aggregation Network for Fast Video DerainingXinwei Xue, Xiangyu Meng, Long Ma 0002, Risheng Liu, Xin Fan 0001. 2020-2024 [doi]
• Dense Feature Pyramid Grids Network for Single Image DerainingZhen Wang, Cong Wang 0018, Zhixun Su, Junyang Chen. 2025-2029 [doi]
• A Fast and Efficient Network for Single Image DerainingYouzhao Yang, Hong Lu 0001. 2030-2034 [doi]
• DNANet: Dense Nested Attention Network for Single Image DehazingDongdong Ren, Jinbao Li, Meng Han, Minglei Shu. 2035-2039 [doi]
• FWB-Net: Front White Balance Network for Color Shift Correction in Single Image Dehazing Via Atmospheric Light EstimationCong Wang, Yan Huang, Yuexian Zou, Yong Xu. 2040-2044 [doi]
• Learning Integrodifferential Models for Image DenoisingTobias Alt, Joachim Weickert. 2045-2049 [doi]
• Unrolling of Deep Graph Total Variation for Image DenoisingHuy Vu, Gene Cheung, Yonina C. Eldar. 2050-2054 [doi]
• Learning Model-Blind Temporal Denoisers without Ground TruthsYanghao Li, Bichuan Guo, Jiangtao Wen, Zhen Xia, Shan Liu, Yuxing Han. 2055-2059 [doi]
• Image Denoising Based on Correlation Adaptive Sparse ModelingHangfan Liu, Jian Zhang, Chong Mou. 2060-2064 [doi]
• NASA: A Noise-Adaptive and Structure-Aware Learning Framework for Image DeblurringXiaokun Liu, Long Ma 0002, Risheng Liu, Wei Zhong, Xin Fan, Zhongxuan Luo. 2065-2069 [doi]
• Multiple Auxiliary Networks for Single Blind Image DeblurringChen Li, Qi Wang, Shaoteng Liu, Xuelong Li. 2070-2074 [doi]
• Joint Learning of Image Aesthetic Quality Assessment and Semantic Recognition Based on Feature EnhancementXiangfei Liu, Xiushan Nie, Zhen Shen, Yilong Yin. 2075-2079 [doi]
• Nested Error Map Generation Network for No-Reference Image Quality AssessmentJunming Chen, Haiqiang Wang, Ge Li 0002, Shan Liu 0001. 2080-2084 [doi]
• Regression or classification? New methods to evaluate no-reference picture and video quality modelsZhengzhong Tu, Chia-Ju Chen, Li-Heng Chen, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik. 2085-2089 [doi]
• Blind Image Quality Evaluator with Scale RobustnessCi Wang, Mei Li. 2090-2094 [doi]
• Multi-Scale Feature-Guided Stereoscopic Video Quality Assessment Based on 3d Convolutional Neural NetworkYingjie Feng, Sumei Li, Yongli Chang. 2095-2099 [doi]
• No-Reference Stereoscopic Image Quality Assessment Based on the Human Visual SystemFan Meng, Sumei Li, Yongli Chang. 2100-2104 [doi]
• Stereo Rectification Based on Epipolar Constrained Neural NetworkYuxing Wang, Yawen Lu, Guoyu Lu. 2105-2109 [doi]
• Multi-Scale Cascade Disparity Refinement Stereo NetworkXiaogang Jia, Wei Chen 0009, Zhengfa Liang, Xin Luo, Mingfei Wu, Yusong Tan, Libo Huang. 2110-2114 [doi]
• Hierarchical Context Guided Aggregation Network for Stereo MatchingJun Peng, Wangduo Xie, Zijing Huang, Wei Chen, Yong Zhao. 2115-2119 [doi]
• Cost Affinity Learning Network for Stereo MatchingShenglun Chen, Baopu Li, Wei Wang, Hong Zhang, Haojie Li, Zhihui Wang. 2120-2124 [doi]
• Video Quality Prediction Using Voxel-Wise fMRI Models of the Visual CortexNaga Sailaja Mahankali, Sumohana S. Channappayya. 2125-2129 [doi]
• Tensor Decomposition Via Core Tensor NetworksJianfu Zhang 0003, Zerui Tao, Liqing Zhang 0001, Qibin Zhao. 2130-2134 [doi]
• Sign Language Segmentation with Temporal Convolutional NetworksKatrin Renz, Nicolaj C. Stache, Samuel Albanie, Gül Varol. 2135-2139 [doi]
• An Adaptive Discriminant and Sparsity Feature Descriptor for Finger Vein RecognitionShuyi Li, Bob Zhang. 2140-2144 [doi]
• Routinggan: Routing Age Progression and Regression with Disentangled LearningZhizhong Huang, Junping Zhang, Hongming Shan. 2145-2149 [doi]
• Semantic-Aware Unpaired Image-to-Image Translation for Urban Scene ImagesZongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama. 2150-2154 [doi]
• Fontnet: On-Device Font Understanding and Prediction PipelineRakshith S, Rishabh Khurana, Vibhav Agarwal, Jayesh Rajkumar Vachhani, Bhanodai Guggilla. 2155-2159 [doi]
• Agent-Environment Network for Temporal Action Proposal GenerationViet-Khoa Vo-Ho, Ngan Le, Kashu Kamazaki, Akihiro Sugimoto, Minh-Triet Tran. 2160-2164 [doi]
• Adaptive Multi-Domain Learning for Outdoor 3d Human Pose and Shape EstimationZhaoyang Gui, Shanshan Zhang, Kangkan Wang, Jian Yang, PongChi Yuen. 2165-2169 [doi]
• Lightweight Human Pose Estimation under Resource-Limited ScenesZhe Zhang, Jie Tang 0006, Gangshan Wu. 2170-2174 [doi]
• Absolute 3d Pose Estimation and Length Measurement of Severely Deformed Fish from Monocular Videos in Longline FishingJie Mei, Jenq-Neng Hwang, Suzanne Romain, Craig S. Rose, Braden Moore, Kelsey Magrane. 2175-2179 [doi]
• Camera Calibration with Pose GuidanceYuzhuo Ren, Feng Hu. 2180-2184 [doi]
• Real Versus Fake 4k - Authentic Resolution AssessmentRishi Rajesh Shah, Vyas Anirudh Akundy, Zhou Wang. 2185-2189 [doi]
• Perceptual Quality Assessment for Recognizing True and Pseudo 4k ContentWenhan Zhu, Guangtao Zhai, Xiongkuo Min, Xiaokang Yang, Xiao-Ping Zhang 0002. 2190-2194 [doi]
• A New Tubular Structure Tracking Algorithm Based On Curvature-Penalized Perceptual GroupingLi Liu, Da Chen 0002, Minglei Shu, Huazhong Shu, Laurent D. Cohen. 2195-2199 [doi]
• Multiple Human Tracking in Non-Specific Coverage with Wearable CamerasSibo Wang, Ruize Han, Wei Feng 0005, Song Wang 0002. 2200-2204 [doi]
• Fine-Grained Pose Temporal Memory Module for Video Pose Estimation and TrackingChaoyi Wang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan. 2205-2209 [doi]
• Drawing Order Recovery from Trajectory ComponentsMinghao Yang, Xukang Zhou, Yangchang Sun, Jinglong Chen, Baohua Qiang. 2210-2214 [doi]
• Deep Hashing for Motion Capture Data RetrievalNa Lv, Ying Wang, Zhiquan Feng, Jingliang Peng. 2215-2219 [doi]
• Hierarchical Attention Fusion for Geo-LocalizationLiqi Yan, Yiming Cui, Yingjie Chen, Dongfang Liu. 2220-2224 [doi]
• AttentionLite: Towards Efficient Self-Attention Models for VisionSouvik Kundu 0002, Sairam Sundaresan. 2225-2229 [doi]
• Attention-Guided Second-Order Pooling Convolutional NetworksShannan Chen, Qiule Sun, Cunhua Li, Jianxin Zhang, Qiang Zhang 0008. 2230-2234 [doi]
• SA-Net: Shuffle Attention for Deep Convolutional Neural NetworksQing-Long Zhang, Yu-Bin Yang. 2235-2239 [doi]
• An Attention Based Wavelet Convolutional Model for Visual Saliency DetectionReshmi S. Bhooshan, Suresh K. 2240-2244 [doi]
• Cascade Attention Fusion for Fine-Grained Image Captioning Based on Multi-Layer LSTMShuang Wang, Yun Meng, Yu Gu, Lei Zhang, Xiutiao Ye, Jingxian Tian, Licheng Jiao. 2245-2249 [doi]
• Webly Supervised Deep Attentive QuantizationJinpeng Wang, Bin Chen 0001, Tao Dai, Shu-Tao Xia. 2250-2254 [doi]
• Unsupervised Audio-Visual Subspace Alignment for High-Stakes Deception DetectionLeena Mathur, Maja J. Mataric. 2255-2259 [doi]
• Violence Detection in Videos Based on Fusing Visual and Audio InformationWen-Feng Pang, Qian-Hua He, Yongjian Hu, Yan-Xiong Li. 2260-2264 [doi]
• QUERYD: A Video Dataset with High-Quality Text and Audio NarrationsAndreea-Maria Oncescu, João F. Henriques, Yang Liu, Andrew Zisserman, Samuel Albanie. 2265-2269 [doi]
• Generating Natural Questions from Images for Multimodal AssistantsAlkesh Patel, Akanksha Bindal, Hadas Kotek, Christopher Klein, Jason Williams. 2270-2274 [doi]
• An Adaptive Multi-Scale and Multi-Level Features Fusion Network with Perceptual Loss for Change DetectionJialang Xu, Yang Luo, Xinyue Chen, Chunbo Luo. 2275-2279 [doi]
• SeeHear: Signer Diarisation and a New DatasetSamuel Albanie, Gül Varol, Liliane Momeni, Triantafyllos Afouras, Andrew Brown 0006, Chuhan Zhang, Ernesto Coto, Necati Cihan Camgöz, Ben Saunders, Abhishek Dutta, Neil Fox, Richard Bowden, Bencie Woll, Andrew Zisserman. 2280-2284 [doi]
• Semantic Image Synthesis from Inaccurate and Coarse MasksKai Katsumata, Hideki Nakayama. 2285-2289 [doi]
• Range Guided Depth Refinement and Uncertainty-Aware Aggregation for View SynthesisYuan Chang, Yisong Chen, Guoping Wang. 2290-2294 [doi]
• DP-VTON: Toward Detail-Preserving Image-Based Virtual Try-on NetworkYuan Chang, Tao Peng, Ruhan He, Xinrong Hu, Junping Liu, Zili Zhang, Minghua Jiang. 2295-2299 [doi]
• Light Field Style Transfer with Local Angular ConsistencyDónal Egan, Martin Alain, Aljosa Smolic. 2300-2304 [doi]
• Skip Attention GAN for Remote Sensing Image SynthesisKai Deng, Kun Zhang, Ping Yao, Siyuan Cheng, Peng He. 2305-2309 [doi]
• Image Generation Based on Texture Guided VAE-AGAN for Regions of Interest Detection in Remote Sensing ImagesLibao Zhang, Yanan Liu. 2310-2314 [doi]
• EADNet: Efficient Asymmetric Dilated Network For Semantic SegmentationQihang Yang, Tao Chen, Jiayuan Fan, Ye Lu, Chongyan Zuo, Qinghua Chi. 2315-2319 [doi]
• Ltaf-Net: Learning Task-Aware Adaptive Features and Refining Mask for Few-Shot Semantic SegmentationBinjie Mao, Lingfeng Wang, Shiming Xiang, Chunhong Pan. 2320-2324 [doi]
• Cgan-Net: Class-Guided Asymmetric Non-Local Network for Real-Time Semantic SegmentationHanlin Chen, Qingyong Hu, Jungang Yang, Jing Wu, Yulan Guo. 2325-2329 [doi]
• Aggregation Architecture and all-to-one Network for Real-Time Semantic SegmentationKuntao Cao, Xi Huang, Jie Shao. 2330-2334 [doi]
• Nlkd: Using Coarse Annotations For Semantic Segmentation Based on Knowledge DistillationDong Liang, Yun Du, Han Sun, Liyan Zhang, Ningzhong Liu, Mingqiang Wei. 2335-2339 [doi]
• Knowledge Reasoning for Semantic SegmentationShengjia Chen, Zhixin Li, Xiwei Yang. 2340-2344 [doi]
• Non-Convex Sparse Deviation Modeling Via Generative ModelsYaxi Yang, Hailin Wang, Haiquan Qiu, Jianjun Wang, Yao Wang 0003. 2345-2349 [doi]
• Imrnet: An Iterative Motion Compensation and Residual Reconstruction Network for Video Compressed SensingXin Yang, Chunling Yang. 2350-2354 [doi]
• Deep Color Constancy Using Temporal Gradient Under Ac Light SourcesJeong-Won Ha, Jun-Sang Yoo, Jong-Ok Kim. 2355-2359 [doi]
• End-to-End Learning of Variational Models and Solvers for the Resolution of Interpolation ProblemsRonan Fablet, Lucas Drumetz, François Rousseau 0002. 2360-2364 [doi]
• Multi-Models Fusion for Light Field Angular Super-ResolutionFengyin Cao, Ping An, Xinpeng Huang, Chao Yang, Qiang Wu 0001. 2365-2369 [doi]
• Hide Chopin in the Music: Efficient Information Steganography Via Random ShufflingZhun Sun, Chao Li, Qibin Zhao. 2370-2374 [doi]
• Pointer Networks for Arbitrary-Shaped Text SpottingYi Zhang, Wei Yang, Zhenbo Xu, Yingjie Li, Zhi Chen, Liusheng Huang. 2375-2379 [doi]
• Rotation Invariance Analysis of Local Convolutional Features in Image RetrievalLongjiao Zhao, Yu Wang 0018, Jien Kato. 2380-2384 [doi]
• Signature Feature Marking Enhanced IRM Framework for Drone Image Analysis in Precision AgricultureAtharva Kadethankar, Neelam Sinha, Vinayaka Hegde, Abhishek Burman. 2385-2389 [doi]
• Vehicle 3d Localization in Road Scenes VIA a Monocular Moving CameraYanting Zhang 0001, Aotian Zheng, Ke Han, Yizhou Wang 0005, Jenq-Neng Hwang. 2390-2394 [doi]
• Gps-Denied Navigation Using Sar Images And Neural NetworksTeresa White, Jesse Wheeler, Colton Lindstrom, Randall Christensen, Kevin R. Moon. 2395-2399 [doi]
• Attention-Embedded Decomposed Network with Unpaired CT Images Prior for Metal Artifact ReductionBinyu Zhao, Qianqian Ren, Jinbao Li, Yafeng Zhao. 2400-2404 [doi]
• Partial Feature Aggregation Network for Real-Time Object CountingHoushun Yu, Li Zhang 0004. 2405-2409 [doi]
• A Bayesian Inference Approach for Location-Based Micro Motions using Radio Frequency SensingDavid A. Maluf, Amr Elnakeeb, Matt Silverman. 2410-2414 [doi]
• Robust Spatial-Temporal Correlation Model for Background Initialization in Severe SceneYuheng Deng, Wenjun Zhou, Bo Peng, Dong Liang 0008, Shun'ichi Kaneko. 2415-2419 [doi]
• 2D-FRFT Based Frequency Shift-Invariant Digital Image EncryptionLei Gao 0001, Lin Qi, Ling Guan. 2420-2424 [doi]
• Capturing Banding in Images: Database Construction and Objective AssessmentAkshay Kapoor, Jatin Sapra, Zhou Wang. 2425-2429 [doi]
• On The Camera Position Dithering In Visual 3d ReconstructionQier An, Yuan Shen. 2430-2434 [doi]
• Long-Short Temporal Modeling for Efficient Action RecognitionLiyu Wu, Yuexian Zou, Can Zhang. 2435-2439 [doi]
• Multi-Directional Convolution Networks with Spatial-Temporal Feature Pyramid Module for Action RecognitionBohong Yang, Zijian Wang, Wu Ran, Hong Lu, Yi-Ping Phoebe Chen. 2440-2444 [doi]
• Unsupervised Motion Representation Enhanced Network for Action RecognitionXiaohang Yang, Lingtong Kong, Jie Yang. 2445-2449 [doi]
• An Improved Deep Relation Network for Action Recognition in Still ImagesWei Wu 0032, Jiale Yu. 2450-2454 [doi]
• Human-Aware Coarse-to-Fine Online Action DetectionZichen Yang, Di Huang 0001, Jie Qin, Yunhong Wang. 2455-2459 [doi]
• SRF-Net: Selective Receptive Field Network for Anchor-Free Temporal Action DetectionRanyu Ning, Can Zhang, Yuexian Zou. 2460-2464 [doi]
• Semantic-Aware Context Aggregation for Image InpaintingZhilin Huang, Chujun Qin, Ruixin Liu, Zhenyu Weng, Yuesheng Zhu. 2465-2469 [doi]
• Bishift-Net for Image InpaintingXue Zhou, Tao Dai, Yong Jiang, Shu-Tao Xia. 2470-2474 [doi]
• OAS-Net: Occlusion Aware Sampling Network for Accurate Optical FlowLingtong Kong, Xiaohang Yang, Jie Yang. 2475-2479 [doi]
• Mask4D: 4D Convolution Network for Light Field Occlusion RemovalYingjie Li, Wei Yang, Zhenbo Xu, Zhi Chen, Zhenbo Shi, Yi Zhang, Liusheng Huang. 2480-2484 [doi]
• Self-Supervised Depth Estimation Via Implicit Cues from VideosJianrong Wang, Ge Zhang, Zhenyu Wu, Xuewei Li, Li Liu. 2485-2489 [doi]
• Scene Completeness-Aware Lidar Depth Completion for Driving ScenarioCho-Ying Wu, Ulrich Neumann. 2490-2494 [doi]
• Semi-Supervised Feature Embedding for Data Sanitization in Real-World EventsBahram Lavi, José Nascimento, Anderson Rocha 0001. 2495-2499 [doi]
• Exposing GAN-Generated Faces Using Inconsistent Corneal Specular HighlightsShu Hu, Yuezun Li, Siwei Lyu. 2500-2504 [doi]
• A Features Decoupling Method for Multiple Manipulations Identification in Image Operation ChainsJiaxin Chen, Xin Liao, Wei Wang, Zheng Qin. 2505-2509 [doi]
• Subjective and Objective Evaluation of Deepfake VideosPavel Korshunov, Sébastien Marcel. 2510-2514 [doi]
• Forensicability of Deep Neural Network Inference PipelinesAlexander Schlögl, Tobias Kupek, Rainer Böhme. 2515-2519 [doi]
• SERN: Stance Extraction and Reasoning Network for Fake News DetectionJianhui Xie, Song Liu, Ruixin Liu, Yinghong Zhang, Yuesheng Zhu. 2520-2524 [doi]
• An Efficient Paper Anti-Counterfeiting Method Based on Microstructure Orientation EstimationYuhao Sun, Xin Liao, Jianfeng Liu. 2525-2529 [doi]
• Learning Double-Compression Video Fingerprints Left From Social-Media PlatformsIrene Amerini, Aris Anagnostopoulos, Luca Maiano, Lorenzo Ricciardi Celsi. 2530-2534 [doi]
• Checking PRNU Usability on Modern DevicesC. Albisani, Massimo Iuliani, Alessandro Piva. 2535-2539 [doi]
• Handwritten Digits Reconstruction from Unlabelled EmbeddingsThomas Thebaud, Gaël Le Lan, Anthony Larcher. 2540-2544 [doi]
• Effect of Video Pixel-Binning on Source Attribution of Mixed MediaSamet Taspinar, Manoranjan Mohanty, Nasir D. Memon. 2545-2549 [doi]
• Combining Dynamic Image and Prediction Ensemble for Cross-Domain Face Anti-SpoofingLingling Lv, Youjun Xiang, Xianfeng Li, Hanye Huang, Rongju Ruan, Xiaoyan Xu, Yuli Fu 0001. 2550-2554 [doi]
• Label-Guided Dictionary Pair Learning for ECG Biometric RecognitionMingzhu Ma, Gongping Yang, Kuikui Wang, Yuwen Huang, Yilong Yin. 2555-2559 [doi]
• Backdoor Attack Against Speaker VerificationTongqing Zhai, Yiming Li, Ziqi Zhang, Baoyuan Wu, Yong Jiang, Shu-Tao Xia. 2560-2564 [doi]
• Class-Conditional Defense GAN Against End-To-End Speech AttacksMohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich. 2565-2569 [doi]
• Selfgait: A Spatiotemporal Representation Learning Method for Self-Supervised Gait RecognitionYiqun Liu 0009, Yi Zeng, Jian Pu, Hongming Shan, Peiyang He, Junping Zhang. 2570-2574 [doi]
• Attack on Practical Speaker Verification System Using Universal Adversarial PerturbationsWeiyi Zhang, Shuning Zhao, Le Liu, Jianmin Li 0001, Xingliang Cheng, Thomas Fang Zheng, Xiaolin Hu. 2575-2579 [doi]
• Highly Efficient Protection of Biometric Face Samples with Selective JPEG2000 EncryptionHeinz Hofbauer, Yoanna Martínez-Díaz, Simon Kirchgasser, Heydi Méndez-Vázquez, Andreas Uhl. 2580-2584 [doi]
• Deep Auto-Encoding and Biohashing for Secure Finger Vein RecognitionHatef Otroshi-Shahreza, Sébastien Marcel. 2585-2589 [doi]
• Topic Sequence Embedding for User Identity Linkage from Heterogeneous Behavior DataJinzhu Yang, Wei Zhou, Wanhui Qian, Jizhong Han, Songlin Hu. 2590-2594 [doi]
• Looking Through Walls: Inferring Scenes from Video-Surveillance Encrypted TrafficDaniele Mari, Samuele Giuliano Piazzetta, Sara Bordin, Luca Pajola, Sebastiano Verde, Simone Milani, Mauro Conti. 2595-2599 [doi]
• Optimal Attacking Strategy Against Online Reputation Systems with Consideration of the Message-Based Persuasion PhenomenonZhanjiang Chen, H. Vicky Zhao. 2600-2604 [doi]
• STEP-GAN: A One-Class Anomaly Detection Model with Applications to Power System SecurityMohammad Adiban, Arash Safari, Giampiero Salvi. 2605-2609 [doi]
• Application-Layer DDOS Attacks with Multiple Emulation DictionariesMichele Cirillo, Mario Di Mauro, Vincenzo Matta, Marco Tambasco. 2610-2614 [doi]
• Secret Key Generation Over Wireless Channels using short Blocklength Multilevel Source Polar CodingHenri Hentilä, Yanina Y. Shkel, Visa Koivunen. 2615-2619 [doi]
• Efficient Network Protection Games Against Multiple Types Of Strategic AttackersZhifan Xu, Melike Baykal-Gürsoy. 2620-2624 [doi]
• Detection Of Malicious DNS and Web Servers using Graph-Based ApproachesJinyuan Jia, Zheng Dong, Jie Li, Jack W. Stokes. 2625-2629 [doi]
• Low Complexity Secure P-Tensor Product Compressed Sensing Reconstruction Outsourcing and Identity Authentication in CloudMengdi Wang, Di Xiao, Jia Liang. 2630-2634 [doi]
• Privacy-Preserving near Neighbor Search via Sparse Coding with AmbiguationBehrooz Razeghi, Sohrab Ferdowsi, Dimche Kostadinov, Flávio P. Calmon, Slava Voloshynovskiy. 2635-2639 [doi]
• Privacy-Preserving Optimal Insulin Dosing DecisionZuobin Ying, Shuanglong Cao, Shengmin Xu, Ximeng Liu, Lingjuan Lyu, Cen Chen, Li Wang. 2640-2644 [doi]
• Privacy-Accuracy Trade-Off of Inference as ServiceYulu Jin, Lifeng Lai. 2645-2649 [doi]
• Federated Learning with Local Differential Privacy: Trade-Offs Between Privacy, Utility, and CommunicationMuah Kim, Onur Günlü, Rafael F. Schaefer. 2650-2654 [doi]
• Scalable Privacy-Preserving Distributed Extremely Randomized Trees for Structured Data With Multiple Colluding PartiesAmin Aminifar, Fazle Rabbi 0001, Yngve Lamo. 2655-2659 [doi]
• Active Privacy-Utility Trade-Off Against A Hypothesis Testing AdversaryEcenaz Erdemir, Pier Luigi Dragotti, Deniz Gündüz. 2660-2664 [doi]
• Baitradar: A Multi-Model Clickbait Detection Algorithm Using Deep LearningBhanuka Gamage, Adnan Labib, Aisha Joomun, Chern Hong Lim, KokSheik Wong. 2665-2669 [doi]
• Enabling Efficient and Expressive Spatial Keyword Queries On Encrypted DataXiangyu Wang, Jianfeng Ma 0001, Ximeng Liu. 2670-2674 [doi]
• Privacy-Preserving Cloud-Based DNN InferenceShangyu Xie, Bingyu Liu, Yuan Hong. 2675-2679 [doi]
• Crypto-Oriented Neural Architecture DesignAvital Shafran, Gil Segev 0001, Shmuel Peleg, Yedid Hoshen. 2680-2684 [doi]
• Integrating Deep Learning with First-Order Logic Programmed Constraints for Zero-Day Phishing Attack DetectionSeok-Jun Bu, Sung-Bae Cho. 2685-2689 [doi]
• Improved Probabilistic Context-Free Grammars for Passwords Using Word ExtractionHaibo Cheng, Wenting Li, Ping Wang, Kaitai Liang. 2690-2694 [doi]
• Enhancing Image Steganography Via Stego Generation And SelectionTingting Song, Minglin Liu, Weiqi Luo, Peijia Zheng. 2695-2699 [doi]
• Synchronous Multi-Bit Audio Watermarking Based on Phase ShiftingShengbei Wang, WeiTao Yuan, Zhen Zhang, Jianming Wang, Masashi Unoki. 2700-2704 [doi]
• Image Steganography Based on Iterative Adversarial Perturbations Onto a Synchronized-Directions Sub-ImageXinghong Qin, Shunquan Tan, Weixuan Tang, Bin Li 0011, Jiwu Huang. 2705-2709 [doi]
• Extending the Reverse JPEG Compatibility Attack to Double Compressed ImagesJan Butora, Jessica Fridrich. 2710-2714 [doi]
• Reversible Data Hiding in Jpeg Images for Privacy ProtectionYuxuan Huang, Xin Cao, Hao-Tian Wu, Yiu-ming Cheung. 2715-2719 [doi]
• A Layered Embedding-Based Scheme to Cope with Intra-Frame Distortion Drift In IPM-Based HEVC SteganographyXiaoqing Jia, Jie Wang 0031, Yongliang Liu, Xiangui Kang, Yun Qing Shi 0001. 2720-2724 [doi]
• Meta-Learning with Attention for Improved Few-Shot LearningZejiang Hou, Anwar Walid, Sun-Yuan Kung. 2725-2729 [doi]
• B-Small: A Bayesian Neural Network Approach to Sparse Model-Agnostic Meta-LearningAnish Madan, Ranjitha Prasad. 2730-2734 [doi]
• Deep Transform and Metric Learning NetworksWen Tang, Émilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim. 2735-2739 [doi]
• Robustness and Diversity Seeking Data-Free Knowledge DistillationPengchao Han, Jihong Park, Shiqiang Wang, Yejun Liu. 2740-2744 [doi]
• Ensemble Distillation Approaches for Grammatical Error CorrectionYassir Fathullah, M. J. F. Gales, Andrey Malinin. 2745-2749 [doi]
• Train Your Classifier First: Cascade Neural Networks Training from Upper Layers to Lower LayersShucong Zhang, Cong-Thanh Do, Rama Doddipatla, Erfan Loweimi, Peter Bell 0001, Steve Renals. 2750-2754 [doi]
• How Convolutional Neural Networks Deal with AliasingAntônio H. Ribeiro, Thomas B. Schön. 2755-2759 [doi]
• Canet: Context-Aware Loss for Descriptor LearningTianyou Chen, Xiaoguang Hu, Jin Xiao, Guofeng Zhang 0002, Hui Ruan. 2760-2764 [doi]
• Progressive Multi-Stage Feature Mix for Person Re-IdentificationYan Zhang, Binyu He, Li Sun, Qingli Li. 2765-2769 [doi]
• Using Deep Image Priors to Generate Counterfactual ExplanationsVivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias. 2770-2774 [doi]
• Elliptical Shape Recovery from Blurred Pixels Using Deep LearningHojatollah Zamani, Peyman Rostami, Arash Amini, Farokh Marvasti. 2775-2779 [doi]
• Factorized CRF with Batch Normalization Based on the Entire Training DataEran Goldman, Jacob Goldberger. 2780-2784 [doi]
• Evolutionary Quantization of Neural Networks with Mixed-PrecisionZhenhua Liu, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao 0001. 2785-2789 [doi]
• Evolving Quantized Neural Networks for Image Classification Using A Multi-Objective Genetic AlgorithmYong Wang, Xiaojing Wang, Xiaoyu He. 2790-2794 [doi]
• Spectral Domain Convolutional Neural NetworkBochen Guan, Jinnian Zhang, William A. Sethares, Richard Kijowski, Fang Liu 0005. 2795-2799 [doi]
• Parametric Spectral Filters for Fast Converging, Scalable Convolutional Neural NetworksLuke Wood, Eric C. Larson. 2800-2804 [doi]
• Feature Reuse for a Randomization Based Neural NetworkXinyue Liang, Mikael Skoglund, Saikat Chatterjee. 2805-2809 [doi]
• A ReLU Dense Layer to Improve the Performance of Neural NetworksAlireza M. Javid, Sandipan Das, Mikael Skoglund, Saikat Chatterjee. 2810-2814 [doi]
• Nested Learning for Multi-Level ClassificationRaphaël Achddou, J. Matías Di Martino, Guillermo Sapiro. 2815-2819 [doi]
• Cross-Modal Representation Reconstruction for Zero-Shot ClassificationYu Wang, Shenjie Zhao. 2820-2824 [doi]
• HIGCNN: Hierarchical Interleaved Group Convolutional Neural Networks for Point Clouds AnalysisJisheng Dang, Jun Yang. 2825-2829 [doi]
• AutoKWS: Keyword Spotting with Differentiable Architecture SearchBo Zhang, Wenfeng Li, Qingyuan Li, Weiji Zhuang, Xiangxiang Chu, Yujun Wang. 2830-2834 [doi]
• Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk MinimizationYubin Ge, Site Li, Xuyang Li, Fangfang Fan, Wanqing Xie, Jane You, Xiaofeng Liu. 2835-2839 [doi]
• Identifying Spammers to Boost Crowdsourced ClassificationPanagiotis A. Traganitis, Georgios B. Giannakis. 2840-2844 [doi]
• A Rank-Constrained Clustering Algorithm with Adaptive EmbeddingShenfei Pei, Feiping Nie 0001, Rong Wang 0001, Xuelong Li. 2845-2849 [doi]
• Towards Efficient Age Estimation by Embedding Potential Gender FeaturesYulan Deng, Lunke Fei, Shaohua Teng, Wei Zhang 0005, Dongning Liu, Yan Hou. 2850-2854 [doi]
• Adversarial Attacks on Coarse-to-Fine ClassifiersIsmail R. Alkhouri, George K. Atia. 2855-2859 [doi]
• GDTW: A Novel Differentiable DTW Loss for Time Series TasksXiang Liu, Naiqi Li, Shu-Tao Xia. 2860-2864 [doi]
• Hierarchical Recurrent Neural Network for Handwritten Strokes ClassificationIllya Degtyarenko, Ivan Deriuga, Andrii Grygoriev, Serhii Polotskyi,