Abstract is missing.
- Face Recognition: Too Bias, or Not Too Bias?Joseph P. Robinson, Gennady Livitz, Yann Henon, Can Qin, Yun Fu 0001, Samson Timoner. 1-10 [doi]
- SAM: The Sensitivity of Attribution Methods to HyperparametersNaman Bansal, Chirag Agarwal, Anh Nguyen. 11-21 [doi]
- Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-OffYukun Ding, Jinglan Liu, Jinjun Xiong, Yiyu Shi. 22-31 [doi]
- An Analytical Framework for Trusted Machine Learning and Computer Vision Running with BlockchainTao Wang, Maggie Du, Xinmin Wu, Taiping He. 32-38 [doi]
- Identity Preserve Transform: Understand What Activity Classification Models Have LearntJialing Lyu, Weichao Qiu, Alan L. Yuille. 39-47 [doi]
- Interpreting Interpretations: Organizing Attribution Methods by CriteriaZifan Wang, Piotr Mardziel, Anupam Datta, Matt Fredrikson. 48-55 [doi]
- Explaining Failure: Investigation of Surprise and Expectation in CNNsThomas Hartley, Kirill A. Sidorov, Christopher Willis, A. David Marshall. 56-65 [doi]
- Enhancing Facial Data Diversity with Style-based Face AgingMarkos Georgopoulos, James Oldfield, Mihalis A. Nicolaou, Yannis Panagakis, Maja Pantic. 66-74 [doi]
- Imparting Fairness to Pre-Trained Biased RepresentationsBashir Sadeghi, Vishnu Naresh Boddeti. 75-82 [doi]
- Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data AugmentationSeyma Yucer, Samet Akçay, Noura Al Moubayed, Toby P. Breckon. 83-92 [doi]
- Minimizing Supervision in Multi-label CategorizationRajat, Munender Varshney, Pravendra Singh, Vinay P. Namboodiri. 93-102 [doi]
- DNDNet: Reconfiguring CNN for Adversarial RobustnessAkhil Goel, Akshay Agarwal 0001, Mayank Vatsa, Richa Singh 0001, Nalini K. Ratha. 103-110 [doi]
- Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural NetworksHaofan Wang, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Piotr Mardziel, Xia Hu. 111-119 [doi]
- On Privacy Preserving Anonymization of Finger-selfiesAakarsh Malhotra, Saheb Chhabra, Mayank Vatsa, Richa Singh 0001. 120-128 [doi]
- Bias in Multimodal AI: Testbed for Fair Automatic RecruitmentAlejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez. 129-137 [doi]
- Plug-And-Pipeline: Efficient Regularization for Single-Step Adversarial TrainingVivek B. S., Ambareesh Revanur, Naveen Venkat, R. Venkatesh Babu. 138-146 [doi]
- Attribute Aware Filter-Drop for Bias-Invariant ClassificationShruti Nagpal, Maneet Singh, Richa Singh 0001, Mayank Vatsa. 147-153 [doi]
- Privacy Enhanced Decision Tree InferenceKanthi K. Sarpatwar, Nalini K. Ratha, Karthik Nandakumar, Karthikeyan Shanmugam, James T. Rayfield, Sharath Pankanti, Roman Vaculín. 154-159 [doi]
- Dynamic Attention-based Visual OdometryXin-Yu Kuo, Chien Liu, Kai-Chen Lin, Chun-Yi Lee. 160-169 [doi]
- Extending Absolute Pose Regression to Multiple ScenesHunter Blanton, Connor Greenwell, Scott Workman, Nathan Jacobs. 170-178 [doi]
- Reconstruct, Rasterize and Backprop: Dense shape and pose estimation from a single imageAniket Pokale, Aditya Aggarwal, Krishna Murthy Jatavallabhula, K. Madhava Krishna. 179-186 [doi]
- ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera LocalizationFelix Ott, Tobias Feigl, Christoffer Löffler, Christopher Mutschler. 187-198 [doi]
- Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic SegmentationQinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg. 199-205 [doi]
- Reducing the feature divergence of RGB and near-infrared images using Switchable NormalizationSiwei Yang, Shaozuo Yu, Bingchen Zhao, Bingchen Zhao. 206-211 [doi]
- The 1st Agriculture-Vision Challenge: Methods and ResultsMang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun-hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang. 212-218 [doi]
- Finding Berries: Segmentation and Counting of Cranberries using Point Supervision and Shape PriorsPeri Akiva, Kristin J. Dana, Peter Oudemans, Michael Mars. 219-228 [doi]
- Leaf Spot Attention Network for Apple Leaf Disease IdentificationHee-Jin Yu, Chang-Hwan Son. 229-237 [doi]
- Visual 3D Reconstruction and Dynamic Simulation of Fruit Trees for Robotic ManipulationFrancisco Yandún, Abhisesh Silwal, George Kantor. 238-247 [doi]
- Cross-Regional Oil Palm Tree DetectionWenzhao Wu, Juepeng Zheng, Haohuan Fu, Weijia Li, Le Yu. 248-257 [doi]
- Multi-Stream CNN for Spatial Resource Allocation: a Crop Management ApplicationAlexandre Barbosa, Thiago Marinho, Nicolas F. Martin, Naira Hovakimyan. 258-266 [doi]
- Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in AgricultureHao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng. 267-276 [doi]
- Deep Transfer Learning For Plant Center LocalizationEnyu Cai, Sriram Baireddy, Changye Yang, Melba Crawford, Edward J. Delp. 277-284 [doi]
- Segmentation and detection from organised 3D point clouds: a case study in broccoli head detectionJustin Le Louedec, Hector A. Montes, Tom Duckett, Grzegorz Cielniak. 285-293 [doi]
- Deep Learning based Corn Kernel ClassificationHenry O. Velesaca, Raúl Mira, Patricia L. Suárez, Christian X. Larrea, Ángel D. Sappa. 294-302 [doi]
- Improving In-field Cassava Whitefly Pest Surveillance with Machine LearningJeremy Francis Tusubira, Solomon Nsumba, Flavia Ninsiima, Benjamin Akera, Guy Acellam, Joyce Nakatumba, Ernest Mwebaze, John A. Quinn, Tonny J. Oyana. 303-309 [doi]
- Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest BenchmarkEdson Bollis, Hélio Pedrini, Sandra Avila. 310-319 [doi]
- Fine-Grained Recognition in High-throughput PhenotypingBeichen Lyu, Stuart D. Smith, Keith A. Cherkauer. 320-329 [doi]
- A Novel Technique Combining Image Processing, Plant Development Properties, and the Hungarian Algorithm, to Improve Leaf Detection in MaizeNazifa Azam Khan, Oliver A. S. Lyon, Mark G. Eramian, Ian McQuillan. 330-339 [doi]
- Farm Parcel Delineation Using Spatio-temporal Convolutional NetworksHan Lin Aung, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon. 340-349 [doi]
- Climate Adaptation: Reliably Predicting from Imbalanced Satellite DataRuchit Rawal, Prabhu Pradhan. 350-359 [doi]
- C-SURE: Shrinkage Estimator and Prototype Classifier for Complex-Valued Deep LearningRudrasis Chakraborty, Yifei Xing, Minxuan Duan, Stella X. Yu. 360-367 [doi]
- SOFEA: A Non-iterative and Robust Optical Flow Estimation Algorithm for Dynamic Vision SensorsWeng Fei Low, Zhi Gao, Cheng Xiang 0001, Bharath Ramesh 0001. 368-377 [doi]
- Mosaic Super-resolution via Sequential Feature Pyramid NetworksMehrdad Shoeiby, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson. 378-387 [doi]
- TherISuRNet - A Computationally Efficient Thermal Image Super-Resolution NetworkVishal M. Chudasama, Heena Patel, Kalpesh Prajapati, Kishor P. Upla, Raghavendra Ramachandra, Kiran B. Raja, Christoph Busch. 388-397 [doi]
- Low-Resolution Overhead Thermal Tripwire for Occupancy EstimationMertcan Cokbas, Prakash Ishwar, Janusz Konrad. 398-406 [doi]
- Unsupervised object detection via LWIR/RGB translationRachael Abbott, Neil M. Robertson, Jesus Martinez del Rincón, Barry Connor. 407-415 [doi]
- FusAtNet: Dual Attention based SpectroSpatial Multimodal Fusion Network for Hyperspectral and LiDAR ClassificationSatyam Mohla, Shivam Pande, Biplab Banerjee, Subhasis Chaudhuri. 416-425 [doi]
- A Multi-Level Supervision Model: A novel approach for Thermal Image Super ResolutionPriya Kansal, Sabari Nathan. 426-431 [doi]
- Thermal Image Super-Resolution Challenge - PBVS 2020Rafael E. Rivadeneira, Ángel D. Sappa, Boris Xavier Vintimilla, Lin Guo, Jiankun Hou, Armin Mehri, Parichehr Behjati Ardakani, Heena Patel, Vishal M. Chudasama, Kalpesh Prajapati, Kishor P. Upla, Raghavendra Ramachandra, Kiran Raja, Christoph Busch, Feras Almasri, Olivier Debeir, Sabari Nathan, Priya Kansal, Nolan Gutierrez, Bardia Mojra, William J. Beksi. 432-439 [doi]
- Low-latency hand gesture recognition with a low resolution thermal imagerMaarten Vandersteegen, Wouter Reusen, Kristof Van Beeck, Toon Goedemé. 440-449 [doi]
- High Resolution Radar Dataset for Semi-Supervised Learning of Dynamic ObjectsMohammadreza Mostajabi, Ching Ming Wang, Darsh Ranjan, Gilbert Hsyu. 450-457 [doi]
- Probabilistic Oriented Object Detection in Automotive RadarXu Dong, Pengluo Wang, Pengyue Zhang, Langechuan Liu. 458-467 [doi]
- VIFB: A Visible and Infrared Image Fusion BenchmarkXingchen Zhang, Ping Ye, Gang Xiao. 468-478 [doi]
- Fast Human Head and Shoulder Detection Using Convolutional Networks and RGBD DataWassim A. El Ahmar, Farzan Erlik Nowruzi, Robert Laganière. 479-487 [doi]
- An Evaluation of Objective Image Quality Assessment for Thermal Infrared Video Tone MappingMichael Teutsch, Simone Sedelmaier, Sebastian Moosbauer, Gabriel Eilertsen, Thomas Walter. 488-497 [doi]
- Calibrated Vehicle Paint Signatures for Simulating Hyperspectral ImageryZachary Mulhollan, Aneesh Rangnekar, Timothy Bauch, Matthew J. Hoffman, Anthony Vodacek. 498-506 [doi]
- Unsupervised Ensemble-Kernel Principal Component Analysis for Hyperspectral Anomaly DetectionNicholas Merrill, Colin C. Olson. 507-515 [doi]
- Improve Image Codec's Performance By Variating Post Enhancing Neural Network: Submission of zxw for CLIC2020Ming Li, Yundong Zhang, Changsheng Xia, Jinwen Zan, Zhangming Huang, Dekai Chen, Guoxin Li, Jing Nie. 516-519 [doi]
- 3-D Context Entropy Model for Improved Practical Image CompressionZongyu Guo, Yaojun Wu, Runsen Feng, Zhizheng Zhang, Zhibo Chen 0001. 520-523 [doi]
- Ultra Low Bitrate Learned Image Compression by Selective Detail DecodingHiroaki Akutsu, Akifumi Suzuki, Zhisheng Zhong, Kiyoharu Aizawa. 524-528 [doi]
- Learned Video Compression with Feature-level ResidualsRunsen Feng, Yaojun Wu, Zongyu Guo, Zhizheng Zhang, Zhibo Chen 0001. 529-532 [doi]
- Variable Rate Image Compression with Content Adaptive OptimizationTiansheng Guo, Jing Wang, Ze Cui, Yihui Feng, Yunying Ge, Bo Bai. 533-537 [doi]
- SR-CL-DMC: P-frame coding with Super-Resolution, Color Learning, and Deep Motion CompensationMan M. Ho, Jinjia Zhou, Gang He, Muchen Li, Lei Li. 538-542 [doi]
- Low Bitrate Image Compression with Discretized Gaussian Mixture LikelihoodsZhengxue Cheng, Heming Sun, Jiro Katto. 543-546 [doi]
- Post-Processing Network Based on Dense Inception Attention for Video CompressionHao Tao, Jian Qian, Li Yu, Hongkui Wang, Wenhao Zhang, Zhengang Li, Ning Wang, Xing Zeng. 547-551 [doi]
- Efficient Context-Aware Lossy Image CompressionJan Xu, Alex Lytchier, Ciro Cursio, Dimitrios Kollias, Chri Besenbruch, Arsalan Zafar. 552-554 [doi]
- Compression Artifact Removal with Ensemble Learning of Neural NetworksYueyu Hu, Haichuan Ma, Dong Liu, Jiaying Liu 0001. 555-559 [doi]
- Joint Learned and Traditional Video Compression for P FrameZhao Wang, Ru-Ling Liao, Yan Ye. 560-564 [doi]
- Towards the Perceptual Quality Enhancement of Low Bit-rate Compressed ImagesYounhee Kim, Seunghyun Cho, Jooyoung Lee 0004, Seyoon Jeong, Jin Soo Choi, Jihoon Do. 565-569 [doi]
- A Hybrid Image Codec with Learned Residual CodingWei-Cheng Lee, Hsueh-Ming Hang. 570-574 [doi]
- Learned Low Bit-rate Image Compression with Adversarial MechanismJiayu Yang, Chunhui Yang, Yi Ma, Shiyi Liu, Ronggang Wang. 575-579 [doi]
- End-to-End Learning for Video Frame Compression with Self-AttentionNannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu. 580-584 [doi]
- A Training Method for Image Compression Networks to Improve Perceptual Quality of ReconstructionsJooyoung Lee 0004, Donghyun Kim, Younhee Kim, Hyoungjin Kwon, Jongho Kim, TaeJin Lee. 585-589 [doi]
- Joint motion and residual information latent representation for P-frame codingRenam Castro da Silva, Nilson Donizete Guerin Júnior, Pedro Sanches, Henrique Costa Jung, Eduardo Peixoto, Bruno Macchiavello, Edson M. Hung, Vanessa Testoni, Pedro Garcia Freitas. 590-592 [doi]
- A Video Compression Framework Using an Overfitted Restoration Neural NetworkGang He, Chang Wu, Lei Li, Jinjia Zhou, Xianglin Wang, Yunfei Zheng, Bing Yu, Weiying Xie. 593-597 [doi]
- P-frame Coding Proposal by NCTU: Parametric Video Prediction through Backprop-based Motion EstimationYung-Han Ho, Chih-Chun Chan, David Alexandre, Wen-Hsiao Peng, Chih-Peng Chang. 598-601 [doi]
- An Image Compression Framework with Learning-based FilterHeming Sun, Chao Liu, Jiro Katto, Yibo Fan. 602-606 [doi]
- Low-rate Image Compression with Super-resolution LearningWei Gao, Lvfang Tao, Linjie Zhou, Dinghao Yang, Xiaoyu Zhang, Zixuan Guo. 607-610 [doi]
- End-to-end Optimized Video Compression with MV-Residual PredictionXiangji Wu, Ziwen Zhang, Jie Feng, Lei Zhou, Junmin Wu. 611-614 [doi]
- Multi-scale Grouped Dense Network for VVC Intra CodingXin Li, Simeng Sun, Zhizheng Zhang, Zhibo Chen 0001. 615-618 [doi]
- Image Compression with Encoder-Decoder Matched Semantic SegmentationTrinh Man Hoang, Jinjia Zhou, Yibo Fan. 619-623 [doi]
- Variable Rate Image Compression Method with Dead-zone QuantizerJing Zhou, Akira Nakagawa, Keizo Kato, Sihan Wen, Kimihiko Kazui, Zhiming Tan. 624-628 [doi]
- Adapting JPEG XS gains and priorities to tasks and contentsBenoit Brummer, Christophe De Vleeschouwer. 629-633 [doi]
- Lossy Compression with Distortion Constrained OptimizationTies van Rozendaal, Guillaume Sautière, Taco S. Cohen. 634-639 [doi]
- Adversarial Distortion for Learned Video CompressionVijay Veerabadran, Reza Pourreza, AmirHossein Habibian, Taco Cohen. 640-644 [doi]
- Syntharch: Interactive Image Search with Attribute-Conditioned SynthesisZac Yu, Adriana Kovashka. 645-654 [doi]
- Learning Spatial Relationships between Samples of Patent Image ShapesJuan Castorena, Manish Bhattarai, Diane Oyen. 655-662 [doi]
- Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer LearningManish Bhattarai, Diane Oyen, Juan Castorena, Liping Yang, Brendt Wohlberg. 663-672 [doi]
- Automatic Digitization of Engineering Diagrams using Deep Learning and Graph SearchShouvik Mani, Michael A. Haddad, Dan Constantini, Willy Douhard, Qiwei Li, Louis Poirier. 673-679 [doi]
- Structured Query-Based Image Retrieval Using Scene GraphsBrigit Schroeder, Subarna Tripathi. 680-684 [doi]
- Diagram Image Retrieval and Analysis: Challenges and OpportunitiesLiping Yang, Ming Gong, Vijayan K. Asari. 685-698 [doi]
- A Simplified Framework for Zero-shot Cross-Modal Sketch Data RetrievalUshasi Chaudhuri, Biplab Banerjee, Avik Bhattacharya, Mihai Datcu. 699-706 [doi]
- ResDepth: Learned Residual Stereo ReconstructionCorinne Stucker, Konrad Schindler. 707-716 [doi]
- DALES: A Large-scale Aerial LiDAR Data Set for Semantic SegmentationNina M. Varney, Vijayan K. Asari, Quinn Graehling. 717-726 [doi]
- S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band SynthesisLitu Rout, Indranil Misra, S. Manthira Moorthi, Debajyoti Dhar. 727-736 [doi]
- Density Map Guided Object Detection in Aerial ImagesChanglin Li, Taojiannan Yang, Sijie Zhu, Chen Chen 0001, Shanyue Guan. 737-746 [doi]
- StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data StandardizationOnur Tasar, Yuliya Tarabalka, Alain Giros, Pierre Alliez, Sébastien Clerc. 747-756 [doi]
- Monte-Carlo Siamese Policy on Actor for Satellite Image Super ResolutionLitu Rout, Saumyaa Shah, S. Manthira Moorthi, Debajyoti Dhar. 757-767 [doi]
- SpaceNet 6: Multi-Sensor All Weather Mapping DatasetJacob Shermeyer, Daniel Hogan, Jason Brown, Adam Van Etten, Nicholas Weir, Fabio Pacifici, Ronny Hänsch, Alexei Bastidas, Scott Soenen, Todd M. Bacastow, Ryan Lewis. 768-777 [doi]
- FGCN: Deep Feature-based Graph Convolutional Network for Semantic Segmentation of Urban 3D Point CloudsSaqib Ali Khan, Yilei Shi, Muhammad Shahzad, Xiao Xiang Zhu. 778-787 [doi]
- Meta-Learning for Few-Shot Land Cover ClassificationMarc Rußwurm, Sherrie Wang, Marco Körner 0001, David B. Lobell. 788-796 [doi]
- Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban RoadwaysWeikai Tan, Nannan Qin, Lingfei Ma, Ying Li, Jing Du, Guorong Cai, Ke Yang, Jonathan Li. 797-806 [doi]
- Deep Regression for Imaging Solar Magnetograms using Pyramid Generative Adversarial NetworksRasha Alshehhi. 807-815 [doi]
- Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent NetworksMd Rifat Arefin, Vincent Michalski, Pierre-Luc St-Charles, Alfredo Kalaitzis, Sookyung Kim, Samira Ebrahimi Kahou, Yoshua Bengio. 816-825 [doi]
- RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead ImageryArmin Hadzic, Hunter Blanton, Weilian Song, Mei Chen, Scott Workman, Nathan Jacobs. 826-834 [doi]
- Sen1Floods11: a georeferenced dataset to train and test deep learning flood algorithms for Sentinel-1Derrick Bonafilia, Beth Tellman, Tyler Anderson, Erica Issenberg. 835-845 [doi]
- HIDeGan: A Hyperspectral-guided Image Dehazing GANAditya Mehta, Harsh Sinha, Pratik Narang, Murari Mandal. 846-856 [doi]
- Removal of Image Obstacles for Vehicle-mounted Surrounding Monitoring Cameras by Real-time Video InpaintingYoshihiro Hirohashi, Kenichi Narioka, Masanori Suganuma, Xing Liu 0010, Yukimasa Tamatsu, Takayuki Okatani. 857-866 [doi]
- A new multimodal RGB and polarimetric image dataset for road scenes analysisRachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau. 867-876 [doi]
- Implicit Euler ODE Networks for Single-Image DehazingJiawei Shen, Zhuoyan Li, Lei Yu 0006, Gui-Song Xia, Wen Yang 0001. 877-886 [doi]
- Lifelong Machine Learning with Deep Streaming Linear Discriminant AnalysisTyler L. Hayes, Christopher Kanan. 887-896 [doi]
- Cognitively-Inspired Model for Incremental Learning Using a Few ExamplesAli Ayub, Alan R. Wagner. 897-906 [doi]
- Continual Learning of Object InstancesKishan Parshotam, Mert Kilickaya. 907-914 [doi]
- Generative Feature Replay For Class-Incremental LearningXialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer 0001. 915-924 [doi]
- Stream-51: Streaming Classification and Novelty Detection from VideosRyne Roady, Tyler L. Hayes, Hitesh Vaidya, Christopher Kanan. 925-934 [doi]
- CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture RecognitionZhengwei Wang, Qi She, Tejo Chalasani, Aljosa Smolic. 935-944 [doi]
- Dropout as an Implicit Gating Mechanism For Continual LearningSeyed-Iman Mirzadeh, Mehrdad Farajtabar, Hassan Ghasemzadeh. 945-951 [doi]
- What is Happening Inside a Continual Learning Model? - A Representation-Based Evaluation of Representational Forgetting -Kengo Murata, Tetsuya Toyota, Kouzou Ohara. 952-956 [doi]
- 2SGD: Learning to Learn Important WeightsNicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen. 957-964 [doi]
- Few-shot Image Recognition for UAV Sports CinematographyEmmanouil Patsiouras, Anastasios Tefas, Ioannis Pitas. 965-969 [doi]
- Generalized Class Incremental LearningFei Mi, Lingjing Kong, Tao Lin, Kaicheng Yu, Boi Faltings. 970-974 [doi]
- StackNet: Stacking feature maps for Continual learningJangho Kim, Jeesoo Kim, Nojun Kwak. 975-982 [doi]
- Noise-based Selection of Robust Inherited Model for Accurate Continual LearningXiaocong Du, Zheng Li, Jae-sun Seo, Frank Liu, Yu Cao. 983-988 [doi]
- Rehearsal-Free Continual Learning over Small Non-I.I.D. BatchesVincenzo Lomonaco 0001, Davide Maltoni, Lorenzo Pellegrini. 989-998 [doi]
- Continual Reinforcement Learning in 3D Non-stationary EnvironmentsVincenzo Lomonaco 0001, Karan Desai, Eugenio Culurciello, Davide Maltoni. 999-1008 [doi]
- Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object DetectorsKandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogério Feris. 1009-1018 [doi]
- Reducing catastrophic forgetting with learning on synthetic dataWojciech Masarczyk, Ivona Tautkute. 1019-1024 [doi]
- Continual Learning for Anomaly Detection in Surveillance VideosKeval Doshi, Yasin Yilmaz. 1025-1034 [doi]
- Generating Accurate Pseudo Examples for Continual LearningDaniel L. Silver, Sazia Mahfuz. 1035-1042 [doi]
- Subpixel Dense Refinement Network for SkeletonizationSohom Dey. 1043-1048 [doi]
- Capturing Cellular Topology in Multi-Gigapixel Pathology ImagesWenqi Lu, Simon Graham, Mohsin Bilal, Nasir M. Rajpoot, Fayyaz A. Minhas. 1049-1058 [doi]
- A Novel Local Geometry Capture in Pointnet++ for 3D ClassificationShivanand Venkanna Sheshappanavar, Chandra Kambhamettu. 1059-1068 [doi]
- VoronoiNet : General Functional Approximators with Local SupportFrancis Williams, Jérôme Parent-Lévesque, Derek Nowrouzezahrai, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi. 1069-1073 [doi]
- Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene CompletionPeng-Shuai Wang, Yang Liu 0014, Xin Tong 0001. 1074-1081 [doi]
- Generalized Autoencoder for Volumetric Shape GenerationYanran Guan, Tansin Jahan, Oliver van Kaick. 1082-1088 [doi]
- Topology-Aware Single-Image 3D Shape ReconstructionQimin Chen, Vincent Nguyen, Feng Han, Raimondas Kiveris, Zhuowen Tu. 1089-1097 [doi]
- Geometry to the Rescue: 3D Instance Reconstruction from a Cluttered SceneLin Li, Salman Khan, Nick Barnes. 1098-1104 [doi]
- Mesh Variational Autoencoders with Edge Contraction PoolingYu-Jie Yuan, Yu-Kun Lai, Jie Yang 0038, Qi Duan, Hongbo Fu, Lin Gao 0004. 1105-1112 [doi]
- Photoplethysmography based stratification of blood pressure using multi information fusion artificial neural networkDingliang Wang, Xuezhi Yang, Xuenan Liu, Shuai Fang, Likun Ma, Longwei Li. 1113-1119 [doi]
- Remote Estimation of Heart Rate Based on Multi-Scale Facial ROIsChangchen Zhao, Weiran Han, Zan Chen, Yongqiang Li, Yuanjing Feng. 1120-1129 [doi]
- Enhancing Remote-PPG Pulse Extraction in Disturbance Scenarios Utilizing Spectral CharacteristicsKai Zhou, Simon Krause, Timon Blöcher, Wilhelm Stork. 1130-1138 [doi]
- Predicting Brainwaves from Face VideosChristian S. Pilz, Ibtissem Ben Makhlouf, Ute Habel, Steffen Leonhardt. 1139-1147 [doi]
- A Meta-Analysis of the Impact of Skin Type and Gender on Non-contact Photoplethysmography MeasurementsEwa Magdalena Nowara, Daniel McDuff, Ashok Veeraraghavan. 1148-1155 [doi]
- Analysis of Pulse Transit Time Derived from Imaging Photoplethysmography and Microwave Sensor-based BallistocardiographyMototaka Yoshioka, Souksakhone Bounyong. 1156-1162 [doi]
- HeartTrack: Convolutional neural network for remote video-based heart rate monitoringOlga Perepelkina, Mikhail Artemyev, Marina Churikova, Mikhail Grinenko. 1163-1171 [doi]
- Continuous estimation of emotional change usingmultimodal affective responsesKenta Masui, Takumi Nagasawa, Hirokazu Doi, Norimichi Tsumura. 1172-1180 [doi]
- Stress Estimation Using Multimodal Biosignal Information from RGB Facial VideoTakumi Nagasawa, Ryo Takahashi, Chawan Koopipat, Norimichi Tsumura. 1181-1187 [doi]
- Automated Depth Video Monitoring For Fall Reduction : A Case StudyJoshua Brown Kramer, Lucas Sabalka, Benjamin Rush, Katherine Jones, Tegan Nolte. 1188-1196 [doi]
- Remote Photoplethysmography: Rarely Considered FactorsYuriy Mironenko, Konstantin Kalinin, Mikhail Kopeliovich, Mikhail Petrushan. 1197-1206 [doi]
- In Search of Life: Learning from Synthetic Data to Detect Vital Signs in VideosFlorin Condrea, Victor-Andrei Ivan, Marius Leordeanu. 1207-1216 [doi]
- Convulsive Movement Detection using Low-Resolution Thermopile Sensor ArrayOuday Hanosh, Rashid Ansari, Naoum P. Issa, A. Enis Çetin. 1217-1223 [doi]
- Predicting Fall Probability Based on a Validated Balance ScaleAlaa Masalha, Nadav Eichler, Shmuel Raz, Adi Toledano-Shubi, Daphna Niv, Ilan Shimshoni, Hagit Hel-Or. 1224-1231 [doi]
- An Assessment of Algorithms to Estimate Respiratory Rate from the Remote PhotoplethysmogramDuncan Luguern, Simon Perche, Yannick Benezeth, Virginie Moser, L. Andrea Dunbar, Fabian Braun, Alia Lemkaddem, Keisuke Nakamura, Randy Gomez, Julien Dubois. 1232-1241 [doi]
- Long Short-Term Memory Deep-Filter in Remote PhotoplethysmographyD. Botina-Monsalve, Yannick Benezeth, Richard Macwan, P. Pierrart, F. Parra, K. Nakamura, R. Gomez, Johel Mitéran. 1242-1249 [doi]
- Detecting Deepfake Videos using Attribution-Based Confidence MetricSteven Lawrence Fernandes, Sunny Raj, Rickard Ewetz, Jodh Singh Pannu, Sumit Kumar Jha 0001, Eddy Ortiz, Iustina Vintila, Margaret Salter. 1250-1259 [doi]
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- 2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale FusionTunai Porto Marques, Alexandra Branzan Albu. 2286-2295 [doi]
- A method for detecting text of arbitrary shapes in natural scenes that improves text spottingQitong Wang, Yi Zheng, Margrit Betke. 2296-2305 [doi]
- Textual Visual Semantic Dataset for Text SpottingAhmed Sabir, Francesc Moreno-Noguer, Lluís Padró. 2306-2315 [doi]
- READ: Recursive Autoencoders for Document Layout GenerationAkshay Gadi Patil, Omri Ben-Eliezer, Or Perel, Hadar Averbuch-Elor. 2316-2325 [doi]
- On Recognizing Texts of Arbitrary Shapes with 2D Self-AttentionJunYeop Lee, Sungrae Park, Jeonghun Baek, Seong Joon Oh, Seonghyeon Kim, Hwalsuk Lee. 2326-2335 [doi]
- A Large Dataset of Historical Japanese Documents with Complex LayoutsZejiang Shen, Kaixuan Zhang, Melissa Dell. 2336-2343 [doi]
- An Accurate Segmentation-Based Scene Text Detector with Context Attention and Repulsive Text BorderXi Liu, Gaojing Zhou, Rui Zhang, Xiaolin Wei. 2344-2352 [doi]
- Illegible Text to Readable Text: An Image-to-Image Transformation using Conditional Sliced Wasserstein Adversarial NetworksMostafa Karimi, Gopalkrishna Veni, Yen-Yun Yu. 2353-2361 [doi]
- Optical Braille Recognition Based on Semantic Segmentation Network with Auxiliary Learning StrategyRenqiang Li, Hong Liu 0007, Xiangdong Wang, Jianxing Xu, Yueliang Qian. 2362-2368 [doi]
- Font-ProtoNet: Prototypical Network based Font Identification of Document Images in Low Data RegimeNikita Goel, Monika Sharma, Lovekesh Vig. 2369-2376 [doi]
- Information Extraction from Document Images via FCA based Template Detection and Knowledge Graph Rule InductionMouli Rastogi, Syed Afshan Ali, Mrinal Rawat, Lovekesh Vig, Puneet Agarwal, Gautam M. Shroff, Ashwin Srinivasan 0001. 2377-2385 [doi]
- An OCR for Classical Indic Documents Containing Arbitrarily Long WordsAgam Dwivedi, Rohit Saluja, Ravi Kiran Sarvadevabhatla. 2386-2393 [doi]
- Visual and Textual Deep Feature Fusion for Document Image ClassificationSouhail Bakkali, Zuheng Ming, Mickaël Coustaty, Marçal Rusiñol. 2394-2403 [doi]
- CLEval: Character-Level Evaluation for Text Detection and Recognition TasksYoungmin Baek, Daehyun Nam, Sungrae Park, JunYeop Lee, Seung Shin, Jeonghun Baek, Chae-Young Lee, Hwalsuk Lee. 2404-2412 [doi]
- Recognizing handwritten mathematical expressions via paired dual loss attention network and printed mathematical expressionsAnh Duc Le. 2413-2418 [doi]
- Symbol Spotting on Digital Architectural Floor Plans Using a Deep Learning-based FrameworkAlireza Rezvanifar, Melissa Cote, Alexandra Branzan Albu. 2419-2428 [doi]
- Visual Parsing with Query-Driven Global Graph Attention (QD-GGA): Preliminary Results for Handwritten Math Formula RecognitionMahshad Mahdavi, Leilei Sun, Richard Zanibbi. 2429-2438 [doi]
- CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documentsDevashish Prasad, Ayan Gadpal, Kshitij Kapadni, Manish Visave, Kavita Sultanpure. 2439-2447 [doi]
- Viewpoint-aware Channel-wise Attentive Network for Vehicle Re-identificationTsai-Shien Chen, Man-Yu Lee, Chih-Ting Liu, Shao-Yi Chien. 2448-2455 [doi]
- City-Scale Multi-Camera Vehicle Tracking by Semantic Attribute Parsing and Cross-Camera Tracklet MatchingYuhang He, Jie Han, Wentao Yu, Xiaopeng Hong, Xing Wei, Yihong Gong. 2456-2465 [doi]
- A Vehicle Counts by Class Framework using Distinguished Regions Tracking at Multiple IntersectionsKhac-Hoai Nam Bui, Hongsuk Yi, Jiho Cho. 2466-2474 [doi]
- Dual Embedding Expansion for Vehicle Re-identificationClint Sebastian, Raffaele Imbriaco, Egor Bondarev, Peter H. N. de With. 2475-2484 [doi]
- Multi-Domain Learning and Identity Mining for Vehicle Re-IdentificationShuting He, Hao Luo, Weihua Chen, Miao Zhang, Yuqi Zhang, Fan Wang, Hao Li, Wei Jiang. 2485-2493 [doi]
- Further Non-local and Channel Attention Networks for Vehicle Re-identificationKai Liu, Zheng Xu, Zhaohui Hou, Zhicheng Zhao, Fei Su. 2494-2500 [doi]
- Multi-Granularity Tracking with Modularlized Components for Unsupervised Vehicles Anomaly DetectionYingying Li, Jie Wu 0030, Xue Bai, Xipeng Yang, Xiao Tan, Guanbin Li, Shilei Wen, Hongwu Zhang, Errui Ding. 2501-2510 [doi]
- ELECTRICITY: An Efficient Multi-camera Vehicle Tracking System for Intelligent CityYijun Qian, Lijun Yu, Wenhe Liu, Alexander G. Hauptmann. 2511-2519 [doi]
- Vehicle Re-Identification Based on Complementary FeaturesCunyuan Gao, Yi Hu, Yi Zhang, Rui Yao, Yong Zhou, Jiaqi Zhao. 2520-2526 [doi]
- Towards Real-time Traffic Movement Count and Trajectory Reconstruction Using Virtual Traffic LanesAwad Abdelhalim, Montasir Abbas. 2527-2533 [doi]
- *: Zero-shot Vehicle Route Understanding System for Intelligent TransportationLijun Yu, Qianyu Feng, Yijun Qian, Wenhe Liu, Alexander G. Hauptmann. 2534-2543 [doi]
- Determining Vehicle Turn Counts at Multiple Intersections by Separated Vehicle Classes Using CNNsJán Folenta, Jakub Spanhel, Vojtech Bartl, Adam Herout. 2544-2549 [doi]
- Going Beyond Real Data: A Robust Visual Representation for Vehicle Re-identificationZhedong Zheng, Minyue Jiang, Zhigang Wang, Jian Wang, Zechen Bai, Xuanmeng Zhang, Xin Yu, Xiao Tan, Yi Yang, Shilei Wen, Errui Ding. 2550-2558 [doi]
- Countor: count without bells and whistlesAndres Ospina, Felipe Torres. 2559-2565 [doi]
- VOC-RelD: Vehicle Re-identification based on Vehicle-Orientation-CameraXiangyu Zhu, Zhenbo Luo, Pei Fu, Xiang Ji. 2566-2573 [doi]
- Vehicle Re-Identification in Multi-Camera scenarios based on Ensembling Deep Learning FeaturesPaula Moral, Álvaro García-Martín, José M. Martínez. 2574-2580 [doi]
- Fractional Data Distillation Model for Anomaly Detection in Traffic VideosLinu Shine, Vaishnav M. A, Jiji C. V. 2581-2589 [doi]
- StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-IdentificationSangrok Lee, Eunsoo Park, Hongsuk Yi, Sang-Hun Lee. 2590-2597 [doi]
- Robust and Fast Vehicle Turn-counts at Intersections via an Integrated Solution from Detection, Tracking and Trajectory ModelingZhihui Wang, Bing Bai, Yujun Xie, Tengfei Xing, Bineng Zhong, Qinqin Zhou, Yiping Meng, Bin Xu, Zhichao Song, Pengfei Xu 0013, Runbo Hu, Hua Chai. 2598-2606 [doi]
- iTASK - Intelligent Traffic Analysis Software KitMinh-Triet Tran, Tam V. Nguyen, Trung-Hieu Hoang, Trung-Nghia Le, Khac-Tuan Nguyen, Dat-Thanh Dinh, Thanh An Nguyen, Hai Dang Nguyen, Xuan-Nhat Hoang, Trong-Tung Nguyen, Viet-Khoa Vo-Ho, Trong-Le Do, Lam Nguyen, Minh-Quan Le, Hoang-Phuc Nguyen-Dinh, Trong-Thang Pham, Xuan-Vy Nguyen, E.-Ro Nguyen, Quoc-Cuong Tran, Hung Tran, Hieu Dao, Mai-Khiem Tran, Quang-Thuc Nguyen, Tien-Phat Nguyen, The-Anh Vu-Le, Gia-Han Diep, Minh N. Do. 2607-2616 [doi]
- Robust Movement-Specific Vehicle Counting at Crowded IntersectionsZhongji Liu, Wei Zhang, Xu Gao, Hao Meng, Xiao Tan, Xiaoxing Zhu, Zhan Xue, Xiaoqing Ye, Hongwu Zhang, Shilei Wen, Errui Ding. 2617-2625 [doi]
- Large Scale Vehicle Re-Identification by Knowledge Transfer from Simulated Data and Temporal AttentionViktor Eckstein, Arne Schumann, Andreas Specker. 2626-2631 [doi]
- Attribute-guided Feature Extraction and Augmentation Robust Learning for Vehicle Re-identificationChaoran Zhuge, Yujie Peng, Yadong Li, Jiangbo Ai, Junru Chen. 2632-2637 [doi]
- AI City Challenge 2020 - Computer Vision for Smart Transportation ApplicationsMing-Ching Chang, Chen-Kuo Chiang, Chun-Ming Tsai, Yun-Kai Chang, Hsuan-Lun Chiang, Yu-An Wang, Shih-Ya Chang, Yun-Lun Li, Ming-Shuin Tsai, Hung-Yu Tseng. 2638-2647 [doi]
- Towards Real-Time Systems for Vehicle Re-Identification, Multi-Camera Tracking, and Anomaly DetectionNeehar Peri, Pirazh Khorramshahi, Sai Saketh Rambhatla, Vineet Shenoy, Saumya Rawat, Jun-Cheng Chen, Rama Chellappa. 2648-2657 [doi]
- Fast Unsupervised Anomaly Detection in Traffic VideosKeval Doshi, Yasin Yilmaz. 2658-2664 [doi]
- The 4th AI City ChallengeMilind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng 0001, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty. 2665-2674 [doi]
- Toward Real-world Panoramic Image EnhancementYupeng Zhang, Hengzhi Zhang, Daojing Li, Liyan Liu, Hong Yi, Wei Wang, Hiroshi Suitoh, Makoto Odamaki. 2675-2684 [doi]
- A Deep Physical Model for Solar Irradiance Forecasting with Fisheye ImagesVincent Le Guen, Nicolas Thome. 2685-2688 [doi]
- Upright and Stabilized Omnidirectional Depth Estimation for Wide-baseline Multi-camera Inertial SystemsChanghee Won, Hochang Seok, Jongwoo Lim. 2689-2692 [doi]
- ArUcOmni: detection of highly reliable fiducial markers in panoramic imagesJaouad Hajjami, Jordan Caracotte, Guillaume Caron, Thibault Napoléon. 2693-2699 [doi]
- RAPiD: Rotation-Aware People Detection in Overhead Fisheye ImagesZhihao Duan, Mustafa Ozan Tezcan, Hayato Nakamura, Prakash Ishwar, Janusz Konrad. 2700-2709 [doi]
- Unsupervised Learning of Metric Representations with Slow Features from Omnidirectional ViewsMathias Franzius, Benjamin Metka, Muhammad Haris, Ute Bauer-Wersing. 2710-2718 [doi]
- Deep Lighting Environment Map Estimation from Spherical PanoramasVasileios Gkitsas, Nikolaos Zioulis, Federico Alvarez, Dimitrios Zarpalas, Petros Daras. 2719-2728 [doi]
- Detecting CNN-Generated Facial Images in Real-World ScenariosNils Hulzebosch, Sarah Ibrahimi, Marcel Worring. 2729-2738 [doi]
- PipeNet: Selective Modal Pipeline of Fusion Network for Multi-Modal Face Anti-SpoofingQing Yang, Xia Zhu, Jong-Kae Fwu, Yun Ye, Ganmei You, Yuan Zhu. 2739-2747 [doi]
- The Role of 'Sign' and 'Direction' of Gradient on the Performance of CNNAkshay Agarwal 0001, Richa Singh 0001, Mayank Vatsa. 2748-2756 [doi]
- Adversarial Attack on Deep Learning-Based Splice LocalizationAndras Rozsa, Terrance E. Boult, Zheng Zhong. 2757-2765 [doi]
- Multi-Modal Face Anti-Spoofing Based on Central Difference NetworksZitong Yu, Yunxiao Qin, Xiaobai Li, Zezheng Wang, Chenxu Zhao, Zhen Lei, Guoying Zhao. 2766-2774 [doi]
- Fake News Detection using Higher-order User to User Mutual-attention Progression in Propagation PathsRahul Mishra. 2775-2783 [doi]
- Towards Untrusted Social Video Verification to Combat Deepfakes via Face Geometry ConsistencyEleanor Tursman, Marilyn George, Seny Kamara, James Tompkin. 2784-2793 [doi]
- OC-FakeDect: Classifying Deepfakes Using One-class Variational AutoencoderHasam Khalid, Simon S. Woo. 2794-2803 [doi]
- Evading Deepfake-Image Detectors with White- and Black-Box AttacksNicholas Carlini, Hany Farid. 2804-2813 [doi]
- Detecting Deep-Fake Videos from Phoneme-Viseme MismatchesShruti Agarwal, Hany Farid, Ohad Fried, Maneesh Agrawala. 2814-2822 [doi]
- Forgery Detection in Hyperspectral Document Images using Graph Orthogonal Nonnegative Matrix FactorizationAbderrahmane Rahiche, Mohamed Cheriet. 2823-2831 [doi]
- Manipulation Detection in Satellite Images Using Deep Belief NetworksJános Horváth, Daniel Mas Montserrat, Hanxiang Hao, Edward J. Delp. 2832-2840 [doi]
- DeepFake Detection by Analyzing Convolutional TracesLuca Guarnera, Oliver Giudice, Sebastiano Battiato. 2841-2850 [doi]
- Deepfakes Detection with Automatic Face WeightingDaniel Mas Montserrat, Hanxiang Hao, Sri Kalyan Yarlagadda, Sriram Baireddy, Ruiting Shao, János Horváth, Emily R. Bartusiak, Justin Yang, David Güera, Fengqing Zhu, Edward J. Delp. 2851-2859 [doi]
- Detecting Video Speed ManipulationBrian C. Hosler, Matthew C. Stamm. 2860-2869 [doi]
- Detecting GANs and Retouching based Digital Alterations via DAD-HCNNAnubhav Jain, Puspita Majumdar, Richa Singh 0001, Mayank Vatsa. 2870-2879 [doi]
- BAMSProd: A Step towards Generalizing the Adaptive Optimization Methods to Deep Binary ModelJunjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato. 2880-2889 [doi]
- Dynamic Inference: A New Approach Toward Efficient Video Action RecognitionWenhao Wu, Dongliang He, Xiao Tan, Shifeng Chen, Yi Yang, Shilei Wen. 2890-2898 [doi]
- Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value SparsificationHuanrui Yang, Minxue Tang, Wei Wen, Feng Yan 0001, Daniel Hu, Ang Li, Hai Li, Yiran Chen. 2899-2908 [doi]
- Low-bit Quantization Needs Good DistributionHaibao Yu, Tuopu Wen, Guangliang Cheng, Jiankai Sun, Qi Han, Jianping Shi. 2909-2918 [doi]
- Attentive Semantic Preservation Network for Zero-Shot LearningZiqian Lu, Yunlong Yu, Zhe-Ming Lu, Feng-Li Shen, Zhongfei Zhang. 2919-2925 [doi]
- Mimic The Raw Domain: Accelerating Action Recognition in the Compressed DomainBarak Battash, Haim Barad, Hanlin Tang, Amit Bleiweiss. 2926-2934 [doi]
- Constraint-Aware Importance Estimation for Global Filter Pruning under Multiple Resource ConstraintsYu-Cheng Wu, Chih-Ting Liu, Bo-Ying Chen, Shao-Yi Chien. 2935-2943 [doi]
- FoNet: A Memory-efficient Fourier-based Orthogonal Network for Object RecognitionFeng Wei, Uyen Trang Nguyen, Hui Jiang 0001. 2944-2952 [doi]
- Computer-aided diagnosis system of lung carcinoma using Convolutional Neural NetworksFangjian Han, Li Yu, Yi Jiang. 2953-2958 [doi]
- Fast Hardware-Aware Neural Architecture SearchLi Lyna Zhang, YuQing Yang, Yuhang Jiang, Wenwu Zhu 0001, Yunxin Liu. 2959-2967 [doi]
- Learning Sparse Neural Networks Through Mixture-Distributed RegularizationChang-Ti Huang, Jun-Cheng Chen, Ja-Ling Wu. 2968-2977 [doi]
- LSQ+: Improving low-bit quantization through learnable offsets and better initializationYash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak. 2978-2985 [doi]
- Least squares binary quantization of neural networksHadi Pouransari, Zhucheng Tu, Oncel Tuzel. 2986-2996 [doi]
- RefineDetLite: A Lightweight One-stage Object Detection Framework for CPU-only DevicesChen Chen 0015, Mengyuan Liu, Xiandong Meng, Wanpeng Xiao, Qi Ju. 2997-3007 [doi]
- Randaugment: Practical automated data augmentation with a reduced search spaceEkin D. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le. 3008-3017 [doi]
- Any-Width NetworksThanh Vu, Marc Eder, True Price, Jan-Michael Frahm. 3018-3026 [doi]
- AdaMT-Net: An Adaptive Weight Learning Based Multi-Task Learning Model For Scene UnderstandingAnkit Jha, Awanish Kumar, Biplab Banerjee, Subhasis Chaudhuri. 3027-3035 [doi]
- Ternary MobileNets via Per-Layer Hybrid Filter BanksDibakar Gope, Jesse G. Beu, Urmish Thakker, Matthew Mattina. 3036-3046 [doi]
- Data-Free Network Quantization With Adversarial Knowledge DistillationYoojin Choi, Jihwan P. Choi, Mostafa El-Khamy, Jungwon Lee. 3047-3057 [doi]
- Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edgeAditya Rajagopal, Christos-Savvas Bouganis. 3058-3067 [doi]
- Structured Weight Unification and Encoding for Neural Network Compression and AccelerationWei Jiang, Wei Wang, Shan Liu. 3068-3076 [doi]
- Neural Network Compression Using Higher-Order Statistics and Auxiliary Reconstruction LossesChristos Chatzikonstantinou, Georgios Th. Papadopoulos, Kosmas Dimitropoulos, Petros Daras. 3077-3086 [doi]
- Monte Carlo Gradient QuantizationGonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller 0001. 3087-3095 [doi]
- Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network trainingSimon Wiedemann, Temesgen Mehari, Kevin Kepp, Wojciech Samek. 3096-3104 [doi]
- Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)Arturo Marbán, Daniel Becking, Simon Wiedemann, Wojciech Samek. 3105-3113 [doi]
- Intelligent Scene Caching to Improve Accuracy for Energy-Constrained Embedded VisionBenjamin Simpson, Ekdeep Singh Lubana, Yuchen Liu, Robert P. Dick. 3114-3122 [doi]
- Adaptive Posit: Parameter aware numerical format for deep learning inference on the edgeHamed Fatemi Langroudi, Vedant Karia, John L. Gustafson, Dhireesha Kudithipudi. 3123-3131 [doi]
- Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic ImagesKumar Abhishek 0001, Ghassan Hamarneh, Mark S. Drew. 3132-3141 [doi]
- Meta-DermDiagnosis: Few-Shot Skin Disease Identification using Meta-LearningKushagra Mahajan, Monika Sharma, Lovekesh Vig. 3142-3151 [doi]
- On Out-of-Distribution Detection Algorithms with Deep Neural Skin Cancer ClassifiersAndré G. C. Pacheco, Chandramouli Shama Sastry, Thomas Trappenberg, Sageev Oore, Renato A. Krohling. 3152-3161 [doi]
- Interpreting mechanisms of prediction for skin cancer diagnosis using multi-task learningDavide Coppola, Hwee Kuan Lee, Cuntai Guan. 3162-3171 [doi]
- Agreement Between Saliency Maps and Human-Labeled Regions of Interest: Applications to Skin Disease ClassificationNalini Singh, Kang Lee, David Coz, Christof Angermüller, Susan Huang, Aaron Loh, Yuan Liu. 3172-3181 [doi]
- Less is More: Sample Selection and Label Conditioning Improve Skin Lesion SegmentationVinícius Ribeiro, Sandra Avila, Eduardo Valle. 3182-3191 [doi]
- Debiasing Skin Lesion Datasets and Models? Not So FastAlceu Bissoto, Eduardo Valle, Sandra Avila. 3192-3201 [doi]
- How Important Is Each Dermoscopy Image?Catarina Barata, Carlos Santiago. 3202-3210 [doi]
- Uncertainty Estimation in Deep Neural Networks for Dermoscopic Image ClassificationMarc Combalia, Ferran Hueto, Susana Puig, Josep Malvehy, Verónica Vilaplana. 3211-3220 [doi]
- Learning A Meta-Ensemble Technique For Skin Lesion Classification And Novel Class DetectionSubhranil Bagchi, Anurag Banerjee, Deepti R. Bathula. 3221-3228 [doi]
- Homogeneous Linear Inequality Constraints for Neural Network ActivationsThomas Frerix, Matthias Nießner, Daniel Cremers. 3229-3234 [doi]
- SUW-Learn: Joint Supervised, Unsupervised, Weakly Supervised Deep Learning for Monocular Depth EstimationHaoyu Ren, Aman Raj, Mostafa El-Khamy, Jungwon Lee. 3235-3243 [doi]
- Top-Down Networks: A coarse-to-fine reimagination of CNNsIoannis Lelekas, Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert. 3244-3253 [doi]
- MUTE: Inter-class Ambiguity Driven Multi-hot Target Encoding for Deep Neural Network DesignMayoore S. Jaiswal, Bumsoo Kang, Jinho Lee, Minsik Cho. 3254-3263 [doi]
- SmoothMix: a Simple Yet Effective Data Augmentation to Train Robust ClassifiersJin Ha Lee, Muhammad Zaigham Zaheer, Marcella Astrid, Seung-Ik Lee. 3264-3274 [doi]
- 2LD: Semi-Supervised Landmark Detection in Low Resolution Images and Impact on Face VerificationAmit Kumar 0013, Rama Chellappa. 3275-3283 [doi]
- P2L: Predicting Transfer Learning for Images and Semantic RelationsBishwaranjan Bhattacharjee, John R. Kender, Matthew Hill, Parijat Dube, Siyu Huo, Michael R. Glass, Brian M. Belgodere, Sharath Pankanti, Noel Codella, Patrick Watson. 3284-3293 [doi]
- Semi-Supervised Learning with Scarce AnnotationsSylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman. 3294-3302 [doi]
- Spatio-temporal action detection and localization using a hierarchical LSTMAkshaya Ramaswamy, Karthik Seemakurthy, Jayavardhana Gubbi, Balamuralidhar Purushothaman. 3303-3312 [doi]
- Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning?Safa Messaoud, Maghav Kumar, Alexander G. Schwing. 3313-3323 [doi]
- Distilling Knowledge from Refinement in Multiple Instance Detection NetworksLuis Felipe de Araujo Zeni, Cláudio R. Jung. 3324-3333 [doi]
- Robust One Shot Audio to Video GenerationNeeraj Kumar, Srishti Goel, Ankur Narang, Hasan Mujtaba. 3334-3343 [doi]
- Deflating Dataset Bias Using Synthetic Data AugmentationNikita Jaipuria, Xianling Zhang, Rohan Bhasin, Mayar Arafa, Punarjay Chakravarty, Shubham Shrivastava, Sagar Manglani, Vidya N. Murali. 3344-3353 [doi]
- Noise is Inside Me! Generating Adversarial Perturbations with Noise Derived from Natural FiltersAkshay Agarwal 0001, Mayank Vatsa, Richa Singh 0001, Nalini K. Ratha. 3354-3363 [doi]
- Learning Ordered Top-k Adversarial Attacks via Adversarial DistillationZekun Zhang, Tianfu Wu. 3364-3373 [doi]
- Adversarial Fooling Beyond "Flipping the Label"Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu. 3374-3382 [doi]
- Improving the affordability of robustness training for DNNsSidharth Gupta, Parijat Dube, Ashish Verma. 3383-3392 [doi]
- A Cyclically-Trained Adversarial Network for Invariant Representation LearningJiawei Chen, Janusz Konrad, Prakash Ishwar. 3393-3402 [doi]
- Role of Spatial Context in Adversarial Robustness for Object DetectionAniruddha Saha, Akshayvarun Subramanya, Koninika Patil, Hamed Pirsiavash. 3403-3412 [doi]
- Extensions and limitations of randomized smoothing for robustness guaranteesJamie Hayes. 3413-3421 [doi]
- Systematic Evaluation of Backdoor Data Poisoning Attacks on Image ClassifiersLoc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor. 3422-3431 [doi]
- Probing for Artifacts: Detecting Imagenet Model EvasionsJeremiah Rounds, Addie Kingsland, Michael J. Henry, Kayla R. Duskin. 3432-3441 [doi]
- Robust Assessment of Real-World Adversarial ExamplesBrett Jefferson, Carlos Ortiz Marrero. 3442-3449 [doi]
- Vulnerability of Person Re-Identification Models to Metric Adversarial AttacksQuentin Bouniot, Romaric Audigier, Angélique Loesch. 3450-3459 [doi]
- Live Trojan Attacks on Deep Neural NetworksRobby Costales, Chengzhi Mao, Raphael Norwitz, Bryan Kim, Junfeng Yang. 3460-3469 [doi]
- On Improving the Generalization of Face Recognition in the Presence of OcclusionsXiang Xu 0005, Nikolaos Sarafianos, Ioannis A. Kakadiaris. 3470-3480 [doi]
- Latent Fingerprint Image Enhancement Based on Progressive Generative Adversarial NetworkXijie Huang, Peng Qian, Manhua Liu. 3481-3489 [doi]
- Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofingSuman Saha, Wenhao Xu, Menelaos Kanakis, Stamatios Georgoulis, Yuhua Chen, Danda Pani Paudel, Luc Van Gool. 3490-3499 [doi]
- Triple-GAN: Progressive Face Aging with Triple Translation LossHan Fang, Weihong Deng, Yaoyao Zhong, Jiani Hu. 3500-3509 [doi]
- Plastic Surgery: An Obstacle for Deep Face Recognition?Christian Rathgeb, Didem Dogan, Fabian Stockhardt, Maria De Marsico, Christoph Busch. 3510-3517 [doi]
- Offline Signature Verification on Real-World DocumentsDeniz Engin, Alperen Kantarci, Seçil Arslan, Hazim Kemal Ekenel. 3518-3526 [doi]
- FEHash: Full Entropy Hash for Face Template ProtectionThao M. Dang, Lam Tran, Thuc Dinh Nguyen, Deokjai Choi. 3527-3536 [doi]
- Defending Black Box Facial Recognition Classifiers Against Adversarial AttacksRajkumar Theagarajan, Bir Bhanu. 3537-3547 [doi]
- Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility StudyDinh-Luan Nguyen, Sunpreet S. Arora, Yuhang Wu, Hao Yang. 3548-3556 [doi]
- Seamless Payment System Using Face And Low-Energy BluetoothYeongnam Chae, Kelvin Cheng, Pankaj Wasnik, Björn Stenger. 3557-3564 [doi]
- Seeing Red: PPG Biometrics Using Smartphone CamerasGiulio Lovisotto, Henry Turner, Simon Eberz, Ivan Martinovic. 3565-3574 [doi]
- Quality Guided Sketch-to-Photo Image SynthesisUche Osahor, Hadi Kazemi, Ali Dabouei, Nasser M. Nasrabadi. 3575-3584 [doi]
- An a-contrario Biometric Fusion ApproachLuis D. Di Martino, Javier Preciozzi, Rafael Grompone von Gioi, Guillermo Garella, Alicia Fernández, Federico Lecumberry. 3585-3593 [doi]
- Class-Balanced Training for Deep Face RecognitionYaobin Zhang, Weihong Deng. 3594-3603 [doi]
- A Comprehensive Study on Loss Functions for Cross-Factor Face RecognitionGee-Sern Jison Hsu, Hung-Yi Wu, Moi Hoon Yap. 3604-3611 [doi]
- Fold Electrocardiogram Into a FingerprintPo-Ya Hsu, Po-Han Hsu, Hsin-Li Liu. 3612-3619 [doi]
- When Person Re-identification Meets Changing ClothesFangbin Wan, Yang Wu, Xuelin Qian, Yixiong Chen, Yanwei Fu. 3620-3628 [doi]
- Representations, Metrics and Statistics for Shape Analysis of Elastic GraphsXiaoyang Guo, Anuj Srivastava. 3629-3638 [doi]
- PI-Net: A Deep Learning Approach to Extract Topological Persistence ImagesAnirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga. 3639-3648 [doi]
- Hierarchical Image Classification using Entailment Cone EmbeddingsAnkit Dhall, Anastasia Makarova, Octavian Ganea, Dario Pavllo, Michael Greeff, Andreas Krause 0001. 3649-3658 [doi]
- AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image ClassificationHongjun Choi, Anirudh Som, Pavan K. Turaga. 3659-3666 [doi]
- Smooth Summaries of Persistence Diagrams and Texture ClassificationYu-Min Chung, Michael Hull, Austin Lawson. 3667-3675 [doi]
- Gromov-Wasserstein Averaging in a Riemannian FrameworkSamir Chowdhury, Tom Needham. 3676-3684 [doi]
- The Weighted Euler Curve Transform for Shape and Image AnalysisQitong Jiang, Sebastian Kurtek, Tom Needham. 3685-3694 [doi]
- An Interface between Grassmann manifolds and vector spacesLincon S. Souza, Naoya Sogi, Bernardo B. Gatto, Takumi Kobayashi, Kazuhiro Fukui. 3695-3704 [doi]
- Simplifying Transformations for a Family of Elastic Metrics on the Space of SurfacesZhe Su, Martin Bauer 0004, Eric Klassen, Kyle A. Gallivan. 3705-3714 [doi]
- Metric Learning with A-based Scalar Product for Image-set RecognitionNaoya Sogi, Lincon S. Souza, Bernardo B. Gatto, Kazuhiro Fukui. 3715-3724 [doi]
- A Geometric ConvNet on 3D Shape Manifold for Gait RecognitionNadia Hosni, Boulbaba Ben Amor. 3725-3734 [doi]
- A generic unfolding algorithm for manifolds estimated by local linear approximationsJonas Nordhaug Myhre, Matineh Shaker, Mustafa Devrim Kaba, Robert Jenssen, Deniz Erdogmus. 3735-3743 [doi]
- Persistent Homology-based Projection PursuitOleg Kachan. 3744-3751 [doi]
- Curvature: A signature for Action Recognition in Video SequencesHe Chen, Gregory S. Chirikjian. 3752-3759 [doi]
- Coarse-to-Fine Hamiltonian Dynamics of Hierarchical Flows in Computational AnatomyMichael I. Miller, Daniel Jacob Tward, Alain Trouvé. 3760-3765 [doi]
- Infinitesimal Drift Diffeomorphometry Models for Population Shape AnalysisBrian C. Lee, Daniel Jacob Tward, Zhiyi Hu, Alain Trouvé, Michael I. Miller. 3766-3775 [doi]
- Deep Low-Rank Subspace ClusteringMohsen Kheirandishfard, Fariba Zohrizadeh, Farhad Kamangar. 3776-3781 [doi]
- Deep Learning of Warping Functions for Shape AnalysisElvis Nunez, Shantanu H. Joshi. 3782-3790 [doi]
- Focus Longer to See Better: Recursively Refined Attention for Fine-Grained Image ClassificationPrateek Shroff, Tianlong Chen, Yunchao Wei, Zhangyang Wang. 3791-3798 [doi]
- Color-Constrained Dehazing ModelShengdong Zhang, Yue Wu, Yuanjie Zhao, Zuomin Cheng, Wenqi Ren. 3799-3807 [doi]
- VDFlow: Joint Learning for Optical Flow and Video DeblurringYanyang Yan, Qingbo Wu 0002, Bo Xu, Jingang Zhang, Wenqi Ren. 3808-3816 [doi]
- A Point Light Source Interference Removal Method for Image DehazingYanyang Yan, Shengdong Zhang, Mingye Ju, Wenqi Ren, Rui Wang 0032, Yuanfang Guo. 3817-3825 [doi]
- Utilizing Mask R-CNN for Waterline Detection in Canoe Sprint Video AnalysisMarie-Sophie von Braun, Patrick Frenzel, Christian Käding, Mirco Fuchs. 3826-3835 [doi]
- VR Alpine Ski Training Augmentation using Visual Cues of Leading SkierErwin Wu, Takayuki Nozawa, Florian Perteneder, Hideki Koike. 3836-3845 [doi]
- Multimodal and multiview distillation for real-time player detection on a football fieldAnthony Cioppa, Adrien Deliège, Noor ul Huda, Rikke Gade, Marc Van Droogenbroeck, Thomas B. Moeslund. 3846-3855 [doi]
- Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolutionsKanav Vats, Mehrnaz Fani, Pascale Walters, David A. Clausi, John S. Zelek. 3856-3865 [doi]
- TTNet: Real-time temporal and spatial video analysis of table tennisRoman Voeikov, Nikolay Falaleev, Ruslan Baikulov. 3866-3874 [doi]
- Using Player's Body-Orientation to Model Pass Feasibility in SoccerAdrià Arbués Sangüesa, Adrián Martín, Javier Fernández, Coloma Ballester, Gloria Haro. 3875-3884 [doi]
- A Non-invasive Vision Based Approach to Velocity Measurement of Skeleton TrainingMurray Evans, Laurie Needham, Steffi L. Colyer, Darren P. Cosker. 3885-3892 [doi]
- A System for Acquisition and Modelling of Ice-Hockey Stick Shape Deformation from Player Shot VideosKaustubha Mendhurwar, Gaurav Handa, Leixiao Zhu, Sudhir P. Mudur, Etienne Beauchesne, Marc LeVangie, Aiden Hallihan, Abbas Javadtalab, Tiberiu Popa. 3893-3900 [doi]
- Decoupling Video and Human Motion: Towards Practical Event Detection in Athlete RecordingsMoritz Einfalt, Rainer Lienhart. 3901-3910 [doi]
- As Seen on TV: Automatic Basketball Video Production using Gaussian-based Actionness and Game States RecognitionJulian Quiroga, Henry Carrillo, Edisson Maldonado, John Ruiz, Luis M. Zapata. 3911-3920 [doi]
- Improved Soccer Action Spotting using both Audio and Video StreamsBastien Vanderplaetse, Stéphane Dupont. 3921-3931 [doi]
- Group Activity Detection from Trajectory and Video Data in SoccerRyan Sanford, Siavash Gorji, Luiz G. Hafemann, Bahareh Pourbabaee, Mehrsan Javan. 3932-3940 [doi]
- FALCONS: FAst Learner-grader for CONtorted poses in SportsMahdiar Nekoui, Fidel Omar Tito Cruz, Li Cheng. 3941-3949 [doi]
- Activity-aware Attributes for Zero-Shot Driver Behavior RecognitionSimon Reiß, Alina Roitberg, Monica Haurilet, Rainer Stiefelhagen. 3950-3955 [doi]
- Diagnosing Rarity in Human-object Interaction DetectionMert Kilickaya, Arnold W. M. Smeulders. 3956-3960 [doi]
- Pose-Guided Knowledge Transfer for Object Part SegmentationShujon Naha, Qingyang Xiao, Prianka Banik, Md. Alimoor Reza, David J. Crandall. 3961-3955 [doi]
- 3: Model Agnostic Adversarial Augmentation for Few Shot learningRohit Jena, Shirsendu Sukanta Halder, Katia P. Sycara. 3966-3970 [doi]
- ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill IdentificationNaoto Usuyama, Natalia Larios Delgado, Amanda K. Hall, Jessica Lundin. 3971-3977 [doi]
- Image2Audio: Facilitating Semi-supervised Audio Emotion Recognition with Facial Expression ImageGewen He, Xiaofeng Liu 0001, Fangfang Fan, Jane You. 3978-3983 [doi]
- Auto-Annotation Quality Prediction for Semi-Supervised Learning with EnsemblesDror Simon, Miriam Farber, Roman Goldenberg. 3984-3988 [doi]
- CLAREL: Classification via retrieval loss for zero-shot learningBoris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal. 3989-3993 [doi]
- Unsupervised Batch NormalizationMustafa Taha Koçyigit, Laura Sevilla-Lara, Timothy M. Hospedales, Hakan Bilen. 3994-3999 [doi]
- Take the Scenic Route: Improving Generalization in Vision-and-Language NavigationFelix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky. 4000-4004 [doi]
- An Embarrassingly Simple Baseline to One-shot LearningChen Liu, Chengming Xu, Yikai Wang, Li Zhang, Yanwei Fu. 4005-4009 [doi]
- Towards Fine-grained Sampling for Active Learning in Object DetectionSai Vikas Desai, Vineeth N. Balasubramanian. 4010-4014 [doi]
- Zero-Shot Learning in the Presence of Hierarchically Coarsened LabelsColin Samplawski, Erik G. Learned-Miller, Heesung Kwon, Benjamin M. Marlin. 4015-4019 [doi]
- Cross-Domain Knowledge Transfer for Prediction of Chemosensitivity in Ovarian Cancer PatientsAsfand Yaar, Amina Asif, Shan-e-Ahmed Raza, Nasir M. Rajpoot, Fayyaz A. Minhas. 4020-4025 [doi]
- Selecting Auxiliary Data Using Knowledge Graphs for Image Classification with Limited LabelsElaheh Raisi, Stephen H. Bach. 4026-4031 [doi]
- Relative Position and Map Networks in Few-shot Learning for Image ClassificationZhiyu Xue, Zhenshan Xie, Zheng Xing, Lixin Duan. 4032-4036 [doi]
- Any-Shot Sequential Anomaly Detection in Surveillance VideosKeval Doshi, Yasin Yilmaz. 4037-4042 [doi]
- Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic SegmentationZhonghao Wang, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-mei W. Hwu, Thomas S. Huang, Honghui Shi. 4043-4047 [doi]
- Self-Supervised Learning of Local Features in 3D Point CloudsAli K. Thabet, Humam Alwassel, Bernard Ghanem. 4048-4052 [doi]
- A Simple Discriminative Dual Semantic Auto-encoder for Zero-shot ClassificationYang Liu 0084, Jin Li, Xinbo Gao. 4053-4057 [doi]
- ViSeR: Visual Self-RegularizationHamid Izadinia, Pierre Garrigues. 4058-4063 [doi]
- Context-Guided Super-Class Inference for Zero-Shot DetectionYanan Li, Yilan Shao, Donghui Wang. 4064-4068 [doi]
- Rethinking Segmentation Guidance for Weakly Supervised Object DetectionKe Yang, Peng Zhang 0035, Peng Qiao, Zhiyuan Wang, Huadong Dai, Tianlong Shen, Dongsheng Li, Yong Dou. 4069-4073 [doi]
- CPARR: Category-based Proposal Analysis for Referring RelationshipsChuanzi He, Haidong Zhu, Jiyang Gao, Kan Chen, Ram Nevatia. 4074-4083 [doi]
- Improved Active Speaker Detection based on Optical FlowChong Huang, Kazuhito Koishida. 4084-4090 [doi]
- Interactive Video Retrieval with DialogSho Maeoki, Kohei Uehara, Tatsuya Harada. 4091-4099 [doi]
- Self-Supervised Object Detection and Retrieval Using Unlabeled VideosElad Amrani, Rami Ben-Ari, Inbar Shapira, Tal Hakim, Alex Bronstein. 4100-4108 [doi]
- Quality and Relevance Metrics for Selection of Multimodal Pretraining DataRoshan Rao, Sudha Rao, Elnaz Nouri, Debadeepta Dey, Asli Çelikyilmaz, Bill Dolan. 4109-4116 [doi]
- Multi-modal Dense Video CaptioningVladimir Iashin, Esa Rahtu. 4117-4126 [doi]
- Cross-modal Variational Alignment of Latent SpacesThomas Theodoridis, Theocharis Chatzis, Vassilios Solachidis, Kosmas Dimitropoulos, Petros Daras. 4127-4136 [doi]
- Exploring Phrase Grounding without Training: Contextualisation and Extension to Text-Based Image RetrievalLetitia Parcalabescu, Anette Frank. 4137-4146 [doi]
- Classification-aware Semi-supervised Domain AdaptationGewen He, Xiaofeng Liu, Fangfang Fan, Jane You. 4147-4156 [doi]
- Analyzing U-Net Robustness for Single Cell Nucleus Segmentation from Phase Contrast ImagesChenyi Ling, Michael Halter, Anne L. Plant, Michael Majurski, Jeffrey Stinson, Joe Chalfoun. 4157-4163 [doi]
- Celeganser: Automated Analysis of Nematode Morphology and AgeLinfeng Wang, Shu Kong, Zachary Pincus, Charless C. Fowlkes. 4164-4173 [doi]
- Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial NetworksNina Miolane, Frédéric Poitevin, Yee-Ting Li, Susan P. Holmes. 4174-4183 [doi]
- WISH: efficient 3D biological shape classification through Willmore flow and Spherical Harmonics decompositionMarco Agus, Enrico Gobbetti, Giovanni Pintore, Corrado Calì, Jens Schneider. 4184-4194 [doi]
- Feedback U-net for Cell Image SegmentationEisuke Shibuya, Kazuhiro Hotta. 4195-4203 [doi]
- Multi-object Graph-based Segmentation with Non-overlapping SurfacesPatrick M. Jensen, Anders B. Dahl, Vedrana Andersen Dahl. 4204-4212 [doi]
- Self-Supervised Feature Extraction for 3D Axon SegmentationTzofi Klinghoffer, Peter Morales, Young-Gyun Park, Nicholas Evans, Kwanghun Chung, Laura J. Brattain. 4213-4219 [doi]
- Detection and Classification of Pollen Grain Microscope ImagesSebastiano Battiato, Alessandro Ortis, Francesca Trenta, Lorenzo Ascari, Mara Politi, Consolata Siniscalco. 4220-4227 [doi]
- CTMC: Cell Tracking with Mitosis Detection Dataset ChallengeSamreen Anjum, Danna Gurari. 4228-4237 [doi]
- A web-based intelligence platform for diagnosis of malaria in thick blood smear images: a case for a developing countryRose Nakasi, Jeremy Francis Tusubira, Aminah Zawedde, Ali Mansourian, Ernest Mwebaze. 4238-4244 [doi]
- A Topological Nomenclature for 3D Shape Analysis in ConnectomicsAbhimanyu Talwar, Zudi Lin, Donglai Wei, Yuesong Wu, Bowen Zheng, Jinglin Zhao, Won-Dong Jang, Xueying Wang, Jeff Lichtman, Hanspeter Pfister. 4245-4253 [doi]
- Representation Learning of Histopathology Images using Graph Neural NetworksMohammed Adnan, Shivam Kalra, Hamid R. Tizhoosh. 4254-4261 [doi]
- A topological encoding convolutional neural network for segmentation of 3D multiphoton images of brain vasculature using persistent homologyMohammad Haft-Javaherian, Martin Villiger, Chris B. Schaffer, Nozomi Nishimura, Polina Golland, Brett E. Bouma. 4262-4271 [doi]
- Rapid Training Data Creation by Synthesizing Medical Images for Classification and LocalizationAbhishek Kushwaha, Sarthak Gupta, Anish Bhanushali, Tathagato Rai Dastidar. 4272-4279 [doi]
- Content-based Propagation of User Markings for Interactive Segmentation of Patterned ImagesVedrana Andersen Dahl, Monica Jane Emerson, Camilla Himmelstrup Trinderup, Anders B. Dahl. 4280-4288 [doi]
- SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint EstimationZechen Liu, Zizhang Wu, Roland Tóth. 4289-4298 [doi]
- Wasserstein Loss based Deep Object DetectionYuzhuo Han, Xiaofeng Liu, Zhenfei Sheng, Yutao Ren, Xu Han, Jane You, Risheng Liu, Zhongxuan Luo. 4299-4305 [doi]
- Learning Depth-Guided Convolutions for Monocular 3D Object DetectionMingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo. 4306-4315 [doi]
- Feudal Steering: Hierarchical Learning for Steering Angle PredictionFaith Johnson, Kristin J. Dana. 4316-4325 [doi]
- Self-supervised Object Motion and Depth Estimation from VideoQi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler. 4326-4334 [doi]
- End-to-End Lane Marker Detection via Row-wise ClassificationSeungwoo Yoo, Heeseok Lee, Heesoo Myeong, Sungrack Yun, Hyoungwoo Park, Janghoon Cho, Duck Hoon Kim. 4335-4343 [doi]
- An Extensible Multi-Sensor Fusion Framework for 3D ImagingTalha Ahmad Siddiqui, Rishi Madhok, Matthew O'Toole. 4344-4353 [doi]
- Topometric Imitation Learning For Route Following Under Appearance ChangeShaojun Cai, Yingjia Wan. 4354-4362 [doi]
- Two-stage Discriminative Re-ranking for Large-scale Landmark RetrievalShuhei Yokoo, Kohei Ozaki, Edgar Simo-Serra, Satoshi Iizuka. 4363-4370 [doi]
- Match or No Match: Keypoint Filtering based on Matching ProbabilityAlexandra I. Papadaki, Ronny Hänsch. 4371-4378 [doi]
- Multi-Camera Trajectory Forecasting: Pedestrian Trajectory Prediction in a Network of CamerasOlly Styles, Tanaya Guha, Victor Sanchez, Alex C. Kot. 4379-4382 [doi]
- Dynamic Neural Relational Inference for Forecasting TrajectoriesColin Graber, Alexander G. Schwing. 4383-4392 [doi]
- Glaucoma Precognition: Recognizing Preclinical Visual Functional Signs of GlaucomaKrati Gupta, Anshul Thakur, Michael H. Goldbaum, Siamak Yousefi. 4393-4401 [doi]
- A Multimodal Predictive Agent Model for Human Interaction GenerationMurchana Baruah, Bonny Banerjee. 4402-4410 [doi]
- SILA: An Incremental Learning Approach for Pedestrian Trajectory PredictionGolnaz Habibi, Nikita Jaipuria, Jonathan P. How. 4411-4421 [doi]
- IPG-Net: Image Pyramid Guidance Network for Small Object DetectionZiming Liu, Guangyu Gao, Lin Sun, Li Fang. 4422-4430 [doi]
- Real-time Tracking with Stabilized FrameZixuan Wang, Zhicheng Zhao, Fei Su. 4431-4438 [doi]
- Effect of Annotation Errors on Drone Detection with YOLOv3Aybora Koksal, Kutalmis Gokalp Ince, A. Aydin Alatan. 4439-4447 [doi]
- A Real-time Robust Approach for Tracking UAVs in Infrared VideosHan Wu, Weiqiang Li, Wanqi Li, Guizhong Liu. 4448-4455 [doi]
- LightTrack: A Generic Framework for Online Top-Down Human Pose TrackingGuanghan Ning, Jian Pei, Heng Huang. 4456-4465 [doi]
- Epipolar Transformer for Multi-view Human Pose EstimationYihui He, Rui Yan, Katerina Fragkiadaki, Shoou-I Yu. 4466-4471 [doi]
- Yoga-82: A New Dataset for Fine-grained Classification of Human PosesManisha Verma, Sudhakar Kumawat, Yuta Nakashima, Shanmuganathan Raman. 4472-4479 [doi]
- Fine grained pointing recognition for natural drone guidanceO. L. Barbed, Pablo Azagra, L. Teixeira, M. Chli, Javier Civera, A. C. Murillo. 4480-4488 [doi]
- The MTA Dataset for Multi Target Multi Camera Pedestrian Tracking by Weighted Distance AggregationPhilipp Köhl, Andreas Specker, Arne Schumann, Jürgen Beyerer. 4489-4498 [doi]
- Reposing Humans by Warping 3D FeaturesMarkus Knoche, István Sárándi, Bastian Leibe. 4499-4504 [doi]