Table of Contents

• On the Effect of Pruning on Adversarial RobustnessArtur Jordão, Hélio Pedrini. 1-11 [doi]
• Building 3D Morphable Models from a Single ScanSkylar Sutherland, Bernhard Egger, Josh Tenenbaum 0001. 1-11 [doi]
• Trojan Signatures in DNN WeightsGregory Fields, Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar, Tara Javidi. 12-20 [doi]
• Impact of Colour on Robustness of Deep Neural NetworksKanjar de, Marius Pedersen. 21-30 [doi]
• Evasion Attack STeganography: Turning Vulnerability Of Machine Learning To Adversarial Attacks Into A Real-world ApplicationSalah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon. 31-40 [doi]
• Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap?Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li 0001, Yiran Chen. 41-50 [doi]
• Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Single-Source Domain GeneralizationThomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen 0002. 51-60 [doi]
• A Hierarchical Assessment of Adversarial SeverityGuillaume Jeanneret, Juan C. Pérez, Pablo Arbeláez. 61-70 [doi]
• Detecting and Segmenting Adversarial Graphics Patterns from ImagesXiangyu Qu, Stanley H. Chan. 71-80 [doi]
• Enhancing Adversarial Robustness via Test-time Transformation EnsemblingJuan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Laura Rueda, Ali K. Thabet, Bernard Ghanem, Pablo Arbeláez. 81-91 [doi]
• Optical Adversarial AttackAbhiram Gnanasambandam, Alex M. Sherman, Stanley H. Chan. 92-101 [doi]
• Countering Adversarial Examples: Combining Input Transformation and Noisy TrainingCheng Zhang, Pan Gao. 102-111 [doi]
• Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose?Max Lennon, Nathan Drenkow, Philippe Burlina. 112-121 [doi]
• Can Optical Trojans Assist Adversarial Perturbations?Adith Boloor, Tong Wu, Patrick Naughton, Ayan Chakrabarti, Xuan Zhang 0001, Yevgeniy Vorobeychik. 122-131 [doi]
• Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain AdaptationYuan Wu 0002, Diana Inkpen, Ahmed El-Roby. 132-141 [doi]
• AdvFoolGen: Creating Persistent Troubles for Deep ClassifiersYuzhen Ding, Nupur Thakur, Baoxin Li. 142-151 [doi]
• On Adversarial Robustness: A Neural Architecture Search perspectiveChaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Pulkit Gopalani, Vineeth N. Balasubramanian. 152-161 [doi]
• Relaxations for Non-Separable Cardinality/Rank PenaltiesCarl Olsson, Daniele Gerosa, Marcus Carlsson. 162-171 [doi]
• Double-Weighted Low-Rank Matrix Recovery Based on Rank EstimationZhengqin Xu, Huasong Xing, Shun Fang, Shiqian Wu, Shoulie Xie. 172-180 [doi]
• Background/Foreground Separation: Guided Attention based Adversarial Modeling (GAAM) versus Robust Subspace Learning MethodsMaryam Sultana, Arif Mahmood, Thierry Bouwmans, Muhammad Haris Khan, Soon Ki Jung. 181-188 [doi]
• *HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell. 189-197 [doi]
• Convolutional Auto-Encoder with Tensor-Train FactorizationManish Sharma, Panos P. Markopoulos, Eli Saber, M. Salman Asif, Ashley Prater-Bennette. 198-206 [doi]
• Synthetic Temporal Anomaly Guided End-to-End Video Anomaly DetectionMarcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee. 207-214 [doi]
• TransBlast: Self-Supervised Learning Using Augmented Subspace with Transformer for Background/Foreground SeparationIslam I. Osman, Mohamed H. Abdelpakey, Mohamed S. Shehata. 215-224 [doi]
• Graph CNN for Moving Object Detection in Complex Environments from Unseen VideosJhony H. Giraldo, Sajid Javed, Naoufel Werghi, Thierry Bouwmans. 225-233 [doi]
• PanopTOP: a framework for generating viewpoint-invariant human pose estimation datasetsNicola Garau, Giulia Martinelli, Piotr Bródka, Niccoló Bisagno, Nicola Conci. 234-242 [doi]
• Deep Quaternion Pose Proposals for 6D Object Pose TrackingMateusz Majcher, Bogdan Kwolek. 243-251 [doi]
• Pedestrian Tracking through Coordinated Mining of Multiple Moving CamerasYanting Zhang, Qingxiang Wang. 252-261 [doi]
• An Embedded Deep Learning-based Package for Traffic Law EnforcementAbbas Omidi, Amirhossein Heydarian, Aida Mohammadshahi, Behnam Asghari Beirami, Farzan Haddadi. 262-271 [doi]
• Self-Attention Agreement Among CapsulesRita Pucci, Christian Micheloni, Niki Martinel. 272-280 [doi]
• Resolution based Feature Distillation for Cross Resolution Person Re-IdentificationAsad Munir, Chengjin Lyu, Bart Goossens, Wilfried Philips, Christian Micheloni. 281-289 [doi]
• Domain-based semi-supervised learning: exploiting label invariance in unlabeled data from distributed camerasLeonardo Taccari. 290-297 [doi]
• Where Did I See It? Object Instance Re-Identification with AttentionVaibhav Bansal, Gian Luca Foresti, Niki Martinel. 298-306 [doi]
• Infrared dataset generation for people detection through superimposition of different camera sensorsAlessandro Avi, Matteo Zuccatti, Matteo Nardello, Nicola Conci, Davide Brunelli. 307-316 [doi]
• SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture SearchXiangxiang Chu, Bo Zhang 0046, Qingyuan Li, Ruijun Xu, Xudong Li 0003. 317-325 [doi]
• CONet: Channel Optimization for Convolutional Neural NetworksMahdi S. Hosseini, Jia-Shu Zhang, Zhe Liu, Andre Fu, Jingxuan Su, Mathieu Tuli, Konstantinos N. Plataniotis. 326-335 [doi]
• Russian Doll Network: Learning Nested Networks for Sample-Adaptive Dynamic InferenceBorui Jiang, Yadong Mu. 336-344 [doi]
• Tiled Squeeze-and-Excite: Channel Attention With Local Spatial ContextNiv Vosco, Alon Shenkler, Mark Grobman. 345-357 [doi]
• DDUNet: Dense Dense U-Net with Applications in Image DenoisingFan Jia, Wing Hong Wong, Tieyong Zeng. 354-364 [doi]
• PP-NAS: Searching for Plug-and-Play Blocks on Convolutional Neural NetworkBiluo Shen, Anqi Xiao, Jie Tian 0001, Zhenhua Hu. 365-372 [doi]
• Single-DARTS: Towards Stable Architecture SearchPengfei Hou, Ying Jin, Yukang Chen. 373-382 [doi]
• Convolutional Filter Approximation Using Fractional CalculusJulio Zamora-Esquivel, Jesus Adan Cruz Vargas, Anthony Rhodes, Lama Nachman, Narayan Sundararajan. 383-392 [doi]
• Graph-based Neural Architecture Search with Operation EmbeddingsMichail Chatzianastasis, George Dasoulas, Georgios Siolas, Michalis Vazirgiannis. 393-402 [doi]
• Contextual Convolutional Neural NetworksIonut Cosmin Duta, Mariana-Iuliana Georgescu, Radu-Tudor Ionescu. 403-412 [doi]
• Leveraging Batch Normalization for Vision TransformersZhuliang Yao, Yue Cao 0001, Yutong Lin, Ze Liu, Zheng Zhang 0022, Han Hu 0004. 413-422 [doi]
• Advanced 3D Deep Non-Local Embedded System for Self-Augmented X-Ray-based COVID-19 AssessmentFrancesco Rundo, Angelo Genovese, Roberto Leotta, Fabio Scotti, Vincenzo Piuri, Sebastiano Battiato. 423-432 [doi]
• The Value of Visual Attention for COVID-19 Classification in CT ScansAdrit Rao, Jongchan Park, Oliver Aalami. 433-438 [doi]
• A 3D CNN Network with BERT For Automatic COVID-19 Diagnosis From CT-Scan ImagesWeijun Tan, Jingfeng Liu. 439-445 [doi]
• Intelligent Radiomic Analysis of Q-SPECT/CT images to optimize pulmonary embolism diagnosis in COVID-19 patientsDebora Gil, Sonia Baeza, Carles Sánchez, Guillermo Torres, Ignasi García-Olivé, Gloria Moragas, Jordi Deportós, Maite Salcedo, Antoni Rosell. 446-453 [doi]
• CMC-COV19D: Contrastive Mixup Classification for COVID-19 DiagnosisJunlin Hou, Jilan Xu, Rui Feng, Yuejie Zhang, Fei Shan, Weiya Shi. 454-461 [doi]
• Residual Dilated U-net For The Segmentation Of COVID-19 Infection From CT ImagesAlyaa Amer, Xujiong Ye, Faraz Janan. 462-470 [doi]
• Adaptive Distribution Learning with Statistical Hypothesis Testing for COVID-19 CT Scan ClassificationGuan-Lin Chen, Chih-Chung Hsu, Mei-Hsuan Wu. 471-479 [doi]
• Visual interpretability analysis of Deep CNNs using an Adaptive Threshold method on Diabetic Retinopathy imagesGeorge Ioannou, Tasos Papagiannis, Thanos Tagaris, Georgios Alexandridis, Andreas Stafylopatis. 480-486 [doi]
• Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scansNguyen P. Nguyen, Youngjin Yoo, Andrei Chekkoury, Eva Eibenberger, Thomas J. Re, Jyotipriya Das, Abishek Balachandran, Yvonne W. Lui, Pina C. Sanelli, Thomas J. Schroeppel, Uttam Bodanapally, Savvas Nicolaou, Tommi A. White, Filiz Bunyak, Dorin Comaniciu, Eli Gibson. 487-495 [doi]
• TeliNet: Classifying CT scan images for COVID-19 diagnosisMohammad Nayeem Teli. 496-502 [doi]
• COVID19 Diagnosis using AutoML from 3D CT scansTalha Anwar. 503-507 [doi]
• A hybrid and fast deep learning framework for Covid-19 detection via 3D Chest CT ImagesShuang Liang, Weicun Zhang, Yu Gu. 508-512 [doi]
• A transformer-based framework for automatic COVID19 diagnosis in chest CTsLei Zhang, Yan Wen. 513-518 [doi]
• A Hierarchical Classification System for the Detection of Covid-19 from Chest X-Ray ImagesMeghna P. Ayyar, Jenny Benois-Pineau, Akka Zemmari. 519-528 [doi]
• Evaluating volumetric and slice-based approaches for COVID-19 detection in chest CTsRadu Miron 0002, Cosmin Moisii, Sergiu Dinu, Mihaela Elena Breaban. 529-536 [doi]
• MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image AnalysisDimitrios Kollias, Anastasios Arsenos, Levon Soukissian, Stefanos D. Kollias. 537-544 [doi]
• Guided Representation Learning for the Classification of Hematopoietic CellsPhilipp Gräbel, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof. 545-551 [doi]
• Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial DysplasiaAdam J. Shephard, Simon Graham, Raja Muhammad Saad Bashir, Mostafa Jahanifar, Hanya Mahmood, Syed Ali Khurram, Nasir M. Rajpoot. 552-561 [doi]
• Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital PathologyChetan L. Srinidhi, Anne L. Martel. 562-571 [doi]
• Probeable DARTS with Application to Computational PathologySheyang Tang, Mahdi S. Hosseini, Lina Chen, Sonal Varma, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis, Zhou Wang 0001. 572-581 [doi]
• Iterative Cross-Scanner Registration for Whole Slide ImagesLuisa Theelke, Frauke Wilm, Christian Marzahl, Christof A. Bertram, Robert Klopfleisch, Andreas Maier 0001, Marc Aubreville, Katharina Breininger. 582-590 [doi]
• Joint Semi-supervised and Active Learning for Segmentation of Gigapixel Pathology Images with Cost-Effective LabelingZhengfeng Lai, Chao Wang 0067, Luca Cerny Oliveira, Brittany N. Dugger, Sen-ching Samson Cheung, Chen-Nee Chuah. 591-600 [doi]
• H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regressionNiccolò Marini, Manfredo Atzori, Sebastian Otálora, Stéphane Marchand-Maillet, Henning Müller. 601-610 [doi]
• An investigation of attention mechanisms in histopathology whole-slide-image analysis for regression objectivesPhilippe Weitz, Yinxi Wang, Johan Hartman, Mattias Rantalainen. 611-619 [doi]
• Multi-Prototype Few-shot Learning in HistopathologyJessica Deuschel, Daniel Firmbach, Carol I. Geppert, Markus Eckstein, Arndt Hartmann, Volker Bruns, Petr Kuritcyn, Jakob Dexl, David Hartmann, Dominik Perrin, Thomas Wittenberg, Michaela Benz. 620-628 [doi]
• *Sivaramakrishnan Sankarapandian, Saul Kohn, Vaughn Spurrier, Sean Grullon, Rajath E. Soans, Kameswari D. Ayyagari, Ramachandra Vikas Chamarthi, Kiran Motaparthi, Jason B. Lee, Wonwoo Shon, Michael J. Bonham, Julianna D. Ianni. 629-638 [doi]
• Self-Supervised Representation Learning using Visual Field Expansion on Digital PathologyJoseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis, Maria Vakalopoulou. 639-647 [doi]
• A QuadTree Image Representation for Computational PathologyRobert Jewsbury, Abhir Bhalerao, Nasir M. Rajpoot. 648-656 [doi]
• Deep Ordinal Focus Assessment for Whole Slide ImagesTomé Albuquerque, Ana Moreira, Jaime S. Cardoso 0001. 657-663 [doi]
• ALBRT: Cellular Composition Prediction in Routine Histology ImagesMuhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas. 664-673 [doi]
• Robust Interactive Semantic Segmentation of Pathology Images with Minimal User InputMostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani, Nasir M. Rajpoot. 674-683 [doi]
• Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and ClassificationSimon Graham, Mostafa Jahanifar, Ayesha Azam, Mohammed Nimir, Yee-Wah Tsang, Katherine Dodd, Emily Hero, Harvir Sahota, Atisha Tank, Ksenija Benes, Noorul Wahab, Fayyaz Minhas, Shan-e-Ahmed Raza, Hesham Eldaly, Kishore Gopalakrishnan, David R. J. Snead, Nasir M. Rajpoot. 684-693 [doi]
• Real-Time Cell Counting in Unlabeled Microscopy ImagesYuang Zhu, Zhao Chen, Yuxin Zheng, Qinghua Zhang, Xuan Wang. 694-703 [doi]
• A Framework for Semi-automatic Collection of Temporal Satellite Imagery for Analysis of Dynamic RegionsNicholas Kashani Motlagh, Aswathnarayan Radhakrishnan, Jim Davis, Roman Ilin. 704-712 [doi]
• Convolutional Neural Networks Based Remote Sensing Scene Classification under Clear and Cloudy EnvironmentsHuiming Sun, Yuewei Lin, Qin Zou 0001, Shaoyue Song, Jianwu Fang, Hongkai Yu. 713-720 [doi]
• Double Head Predictor based Few-Shot Object Detection for Aerial ImageryStefan Wolf, Jonas Meier, Lars Sommer, Jürgen Beyerer. 721-731 [doi]
• Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV ImagesXiaochen Zheng, Benjamin Kellenberger, Rui Gong, Irena Hajnsek, Devis Tuia. 732-741 [doi]
• Get better 1 pixel PCK: ladder scales correspondence flow networks for remote sensing image matching in higher resolutionWeitao Chen, Zhibin Wang, Hao Li. 742-751 [doi]
• Progressive Unsupervised Deep Transfer Learning for Forest Mapping in Satellite ImageNouman Ahmed, Sudipan Saha, Muhammad Shahzad, Muhammad Moazam Fraz, Xiao Xiang Zhu. 752-761 [doi]
• LUAI Challenge 2021 on Learning to Understand Aerial ImagesGui-Song Xia, Jian Ding, Ming Qian, Nan Xue 0001, Jiaming Han, Xiang Bai, Michael Ying Yang, Shengyang Li, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, Qiang Zhou, Chao-hui Yu, Kaixuan Hu, Yingjia Bu, Wenming Tan, Zhe Yang, Wei Li, Shang Liu, Jiaxuan Zhao, Tianzhi Ma, Zi-han Gao, Lingqi Wang, Yi Zuo, Licheng Jiao, Chang Meng, Hao Wang, Jiahao Wang, Yiming Hui, Zhuojun Dong, Jie Zhang, Qianyue Bao, Zixiao Zhang, Fang Liu. 762-768 [doi]
• Knowledge Distillation for Low-Power Object Detection: A Simple Technique and Its Extensions for Training Compact Models Using Unlabeled DataAmin Banitalebi-Dehkordi. 769-778 [doi]
• Exploring the power of lightweight YOLOv4Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh, Yung-Yu Chuang, Youn-Long Lin. 779-788 [doi]
• FOX-NAS: Fast, On-device and Explainable Neural Architecture SearchChia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Hung-Yueh Chiang, Kai-Chiang Wu. 789-797 [doi]
• Post-training deep neural network pruning via layer-wise calibrationIvan Lazarevich, Alexander Kozlov, Nikita Malinin. 798-805 [doi]
• The Multi-Modal Video Reasoning and Analyzing CompetitionHaoran Peng, He Huang, Li Xu, Tianjiao Li, Jun Liu, Hossein Rahmani, Qiuhong Ke, Zhicheng Guo, Cong Wu, Rongchang Li, Mang Ye, Jiahao Wang, Jiaxu Zhang, Yuanzhong Liu, Tao He, Fuwei Zhang, Xianbin Liu, Tao Lin. 806-813 [doi]
• 3D High-Fidelity Mask Face Presentation Attack Detection ChallengeAjian Liu, Chenxu Zhao, Zitong Yu, Anyang Su, Xing Liu, Zijian Kong, Jun Wan 0001, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Guodong Guo. 814-823 [doi]
• On Improving Temporal Consistency for Online Face Liveness Detection SystemXiang Xu, Yuanjun Xiong, Wei Xia. 824-833 [doi]
• A Dual-stream Framework for 3D Mask Face Presentation Attack DetectionShen Chen, Taiping Yao, Ke-Yue Zhang, Yang Chen, Ke Sun, Shouhong Ding, Jilin Li, Feiyue Huang, Rongrong Ji. 834-841 [doi]
• Single Patch Based 3D High-Fidelity Mask Face Anti-SpoofingSamuel Huang, Wen-Huang Cheng, Robert Cheng. 842-845 [doi]
• 3D mask presentation attack detection via high resolution face partsOleg Grinchuk, Aleksandr Parkin, Evgenija Glazistova. 846-853 [doi]
• Skeleton Graph Scattering Networks for 3D Skeleton-based Human Motion PredictionMaosen Li, Siheng Chen, Zihui Liu, Zijing Zhang, Lingxi Xie, Qi Tian 0001, Ya Zhang 0002. 854-864 [doi]
• Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline using Graph Convolutional NetworkNaina Dhingra, George Chogovadze, Andreas M. Kunz. 865-875 [doi]
• Moving Object Detection for Event-based Vision using Graph Spectral ClusteringAnindya Mondal, Shashant R, Jhony H. Giraldo, Thierry Bouwmans, Ananda S. Chowdhury. 876-884 [doi]
• Zero-Shot Learning via Contrastive Learning on Dual Knowledge GraphsJin Wang, Bo Jiang. 885-892 [doi]
• Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point CloudsHaolan Chen, Shitong Luo, Xiang Gao, Wei Hu. 893-903 [doi]
• Parameterized Pseudo-Differential Operators for Graph Convolutional Neural NetworksKevin Potter, Steven Sleder, Matthew Smith, Shehan Perera, Alper Yilmaz, John Tencer. 904-912 [doi]
• FCOS3D: Fully Convolutional One-Stage Monocular 3D Object DetectionTai Wang, Xinge Zhu, Jiangmiao Pang, Dahua Lin. 913-922 [doi]
• MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance SegmentationJonas Heylen, Mark De Wolf, Bruno Dawagne, Marc Proesmans, Luc Van Gool, Wim Abbeloos, Hazem Abdelkawy, Daniel Olmeda Reino. 923-934 [doi]
• Bridging the Reality Gap for Pose Estimation Networks using Sensor-Based Domain RandomizationFrederik Hagelskjær, Anders Glent Buch. 935-944 [doi]
• Boosting Instance Segmentation with Synthetic Data: A study to overcome the limits of real world data setsFlorentin Poucin, Andrea Kraus, Martin Simon. 945-953 [doi]
• Visual Domain Adaptation for Monocular Depth Estimation on Resource-Constrained HardwareJulia Hornauer, Lazaros Nalpantidis, Vasileios Belagiannis. 954-962 [doi]
• perf4sight: A toolflow to model CNN training performance on Edge GPUsAditya Rajagopal, Christos-Savvas Bouganis. 963-971 [doi]
• ProAI: An Efficient Embedded AI Hardware for Automotive Applications - a Benchmark StudySven Mantowsky, Falk Heuer, Syed Saqib Bukhari, Michael Keckeisen, Georg Schneider 0008. 972-978 [doi]
• About the Ambiguity of Data Augmentation for 3D Object Detection in Autonomous DrivingMatthias Reuse, Martin Simon, Bernhard Sick. 979-987 [doi]
• Instance Segmentation in CARLA: Methodology and Analysis for Pedestrian-oriented Synthetic Data Generation in Crowded ScenesMaria Lyssenko, Christoph Gladisch, Christian Heinzemann, Matthias Woehrle, Rudolph Triebel. 988-996 [doi]
• MultiTask-CenterNet (MCN): Efficient and Diverse Multitask Learning using an Anchor Free ApproachFalk Heuer, Sven Mantowsky, Syed Saqib Bukhari, Georg Schneider 0008. 997-1005 [doi]
• Semantic Concept Testing in Autonomous Driving by Extraction of Object-Level Annotations from CARLASujan Sai Gannamaneni, Sebastian Houben, Maram Akila. 1006-1014 [doi]
• Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime OptimizationLukas Stäcker, Juncong Fei, Philipp Heidenreich, Frank Bonarens, Jason R. Rambach, Didier Stricker, Christoph Stiller. 1015-1022 [doi]
• Description of Corner Cases in Automated Driving: Goals and ChallengesDaniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner. 1023-1028 [doi]
• MEAL: Manifold Embedding-based Active LearningDeepthi Sreenivasaiah, Johannes Otterbach, Thomas Wollmann. 1029-1037 [doi]
• LSD-C: Linearly Separable Deep ClustersSylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han 0001, Andrea Vedaldi, Andrew Zisserman. 1038-1046 [doi]
• Multimodal Continuous Visual Attention MechanismsAntónio Farinhas, André F. T. Martins, Pedro M. Q. Aguiar. 1047-1056 [doi]
• Self-supervised Visual Attribute Learning for Fashion CompatibilityDonghyun Kim, Kuniaki Saito, Samarth Mishra, Stan Sclaroff, Kate Saenko, Bryan A. Plummer. 1057-1066 [doi]
• Few-shot Learning with Online Self-DistillationSihan Liu, Yue Wang. 1067-1070 [doi]
• Tune It or Don't Use It: Benchmarking Data-Efficient Image ClassificationLorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler. 1071-1080 [doi]
• Relational Prior for Multi-Object TrackingArtem Moskalev, Ivan Sosnovik, Arnold W. M. Smeulders. 1081-1085 [doi]
• Predictive Coding with Topographic Variational AutoencodersT. Anderson Keller, Max Welling. 1086-1091 [doi]
• How to Transform Kernels for Scale-ConvolutionsIvan Sosnovik, Artem Moskalev, Arnold W. M. Smeulders. 1092-1097 [doi]
• ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasetsVitaliy Kinakh, Olga Taran, Svyatoslav Voloshynovskiy. 1098-1106 [doi]
• Deep Manifold PriorMatheus Gadelha, Rui Wang 0003, Subhransu Maji. 1107-1116 [doi]
• Weakly-supervised Semantic Segmentation in Cityscape via Hyperspectral ImageYuxing Huang, Qiu Shen, Ying Fu, Shaodi You. 1117-1126 [doi]
• Multi-Level Adaptive Separable Convolution for Large-Motion Video Frame InterpolationRuth Wijma, Shaodi You, Yu Li. 1127-1135 [doi]
• Precise Forecasting of Sky Images Using Spatial WarpingLeron Julian, Aswin C. Sankaranarayanan. 1136-1144 [doi]
• Enforcing Temporal Consistency in Video Depth EstimationSiyuan Li, Yue Luo, Ye Zhu, Xun Zhao, Yu Li, Ying Shan. 1145-1154 [doi]
• DeLiEve-Net: Deblurring Low-light Images with Light Streaks and Local EventsChu Zhou, Minggui Teng, Jin Han, Chao Xu 0006, Boxin Shi. 1155-1164 [doi]
• Efficient light transport acquisition by coded illumination and robust photometric stereo by dual photography using deep neural networkTakafumi Iwaguchi, Hiroshi Kawasaki. 1165-1173 [doi]
• Deep Single Fisheye Image Camera Calibration for Over 180-degree Projection of Field of ViewNobuhiko Wakai, Takayoshi Yamashita. 1174-1183 [doi]
• HyperMixNet: Hyperspectral Image Reconstruction with Deep Mixed Network from a Snapshot MeasurementYorimoto Kohei, Xian-Hua Han. 1184-1193 [doi]
• Generative Models for Multi-Illumination Color ConstancyPartha Das, Yang Liu 0009, Sezer Karaoglu, Theo Gevers. 1194-1203 [doi]
• SiamSTA: Spatio-Temporal Attention based Siamese Tracker for Tracking UAVsBo Huang 0012, Junjie Chen, Tingfa Xu, Ying Wang, Shenwang Jiang, Yuncheng Wang, Lei Wang, Jianan Li. 1204-1212 [doi]
• A Unified Approach for Tracking UAVs in InfraredJinjian Zhao, Xiaohan Zhang, Pengyu Zhang. 1213-1222 [doi]
• Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance BenchmarkBrian K. S. Isaac-Medina, Matt Poyser, Daniel Organisciak, Chris G. Willcocks, Toby P. Breckon, Hubert P. H. Shum. 1223-1232 [doi]
• Semi-Automatic Annotation For Visual Object TrackingKutalmis Gokalp Ince, Aybora Koksal, Arda Fazla, A. Aydin Alatan. 1233-1239 [doi]
• A Real-time Anti-distractor Infrared UAV Tracker with Channel Feature Refinement ModuleHouzhang Fang, Xiaolin Wang, Zikai Liao, Yi Chang 0002, Luxin Yan. 1240 [doi]
• LeafMask: Towards Greater Accuracy on Leaf SegmentationRuohao Guo, Liao Qu, Dantong Niu, Zhenbo Li, Jun Yue. 1249-1258 [doi]
• Tip-burn stress detection of lettuce canopy grown in Plant FactoriesRiccardo Gozzovelli, Benjamin Franchetti, Malik Bekmurat, Fiora Pirri. 1259-1268 [doi]
• Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit DetectionZhenghao Fei, Alex Olenskyj, Brian N. Bailey, Mason Earles. 1269-1277 [doi]
• Dynamic Color Transform for Wheat Head DetectionChengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao 0001. 1278-1283 [doi]
• Semi-supervised dry herbage mass estimation using automatic data and synthetic imagesPaul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling O'Connor, Noel E. O'Connor, Kevin McGuinness. 1284-1293 [doi]
• Analysis of Arabidopsis Root Images - Studies on CNNs and Skeleton-Based Root TopologyBirgit Möller 0001, Berit Schreck, Stefan Posch. 1294-1302 [doi]
• Machine learning meets distinctness in variety testingGeoffroy Couasnet, Mouad Zine El Abidine, François Laurens, Helin Dutagaci, David Rousseau. 1303-1311 [doi]
• From RGB to NIR: Predicting of near infrared reflectance from visible spectrum aerial images of cropsMasoomeh Aslahishahri, Kevin G. Stanley, Hema Sudhakar Duddu, Steve Shirtliffe, Sally Vail, Kirstin Bett, Curtis Pozniak, Ian Stavness. 1312-1322 [doi]
• Identification and Measurement of Individual Roots in Minirhizotron Images of Dense Root SystemsAlexander Gillert, Bo Peters, Uwe Freiherr von Lukas, Jürgen Kreyling. 1323-1331 [doi]
• WheatNet-Lite: A Novel Light Weight Network for Wheat Head DetectionSandesh Bhagat, Manesh Kokare, Vineet Haswani, Praful Hambarde, Ravi Kamble. 1332-1341 [doi]
• A Semi-self-supervised Learning Approach for Wheat Head Detection using Extremely Small Number of Labeled SamplesKeyhan Najafian, Alireza Ghanbari, Ian Stavness, Lingling Jin, Gholam Hassan Shirdel, Farhad Maleki. 1342-1351 [doi]
• Classification and Visualization of Genotype × Phenotype Interactions in Biomass SorghumAbby Stylianou, Robert Pless, Nadia Shakoor, Todd C. Mockler. 1352-1361 [doi]
• Visualizing Feature Maps for Model Selection in Convolutional Neural NetworksSakib Mostafa, Debajyoti Mondal, Michael A. Beck, Christopher P. Bidinosti, Christopher J. Henry, Ian Stavness. 1362-1371 [doi]
• Predicting Protein Content in Grain Using Hyperspectral Deep LearningOle-Christian Galbo Engstrøm, Erik Schou Dreier, Kim Steenstrup Pedersen. 1372-1380 [doi]
• Leaf Area Estimation by Semantic Segmentation of Point Cloud of Tomato PlantsTakeshi Masuda. 1381-1389 [doi]
• Field-Based Plot Extraction Using UAV RGB ImagesChangye Yang, Sriram Baireddy, Enyu Cai, Melba M. Crawford, Edward J. Delp. 1390-1398 [doi]
• Multi-Domain Few-Shot Learning and Dataset for Agricultural ApplicationsSai Vidyaranya Nuthalapati, Anirudh Tunga. 1399-1408 [doi]
• What Does TERRA-REF's High Resolution, Multi Sensor Plant Sensing Public Domain Data Offer the Computer Vision Community?David LeBauer, Maxwell Burnette, Noah Fahlgren, Rob Kooper, Kenton McHenry, Abby Stylianou. 1409-1415 [doi]
• DeepDraper: Fast and Accurate 3D Garment Draping over a 3D Human BodyLokender Tiwari, Brojeshwar Bhowmick. 1416-1426 [doi]
• SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D ReconstructionIssam H. Laradji, Pau Rodríguez, David Vázquez 0001, Derek Nowrouzezahrai. 1427-1436 [doi]
• Masked Face Recognition Challenge: The InsightFace Track ReportJiankang deng, Jia Guo, Xiang An, Zheng Zhu, Stefanos Zafeiriou. 1437-1444 [doi]
• Partial FC: Training 10 Million Identities on a Single MachineXiang An, Xuhan Zhu, Yuan Gao, Yang Xiao, Yongle Zhao, Ziyong Feng, Lan Wu, Bin Qin, Ming Zhang, Debing Zhang, Ying Fu. 1445-1449 [doi]
• MaskOut: A Data Augmentation Method for Masked Face RecognitionWeiqiu Wang, Zhicheng Zhao, Hongyuan Zhang, Zhaohui Wang, Fei Su. 1450-1455 [doi]
• Mask Aware Network for Masked Face Recognition in the WildKai Wang, Shuo Wang, Jianfei Yang, Xiaobo Wang, Baigui Sun, Hao Li, Yang You. 1456-1461 [doi]
• Improving Representation Consistency with Pairwise Loss for Masked Face RecognitionHanjie Qian, Panpan Zhang, Sijie Ji, Shuxin Cao, Yuecong Xu. 1462-1467 [doi]
• ResSaNet: A Hybrid Backbone of Residual Block and Self-Attention Module for Masked Face RecognitionWei-Yi Chang, Ming-Ying Tsai, Shih-Chieh Lo. 1468-1476 [doi]
• Rectifying the Data Bias in Knowledge DistillationBoxiao Liu, Shenghan Zhang, Guanglu Song, Haihang You, Yu Liu. 1477-1486 [doi]
• Masked Face Recognition Datasets and ValidationBaojin Huang, Zhongyuan Wang, Guangcheng Wang, Kui Jiang, Zheng He, Hua Zou, Qin Zou 0001. 1487-1491 [doi]
• Towards Mask-robust Face RecognitionTao Feng, Liangpeng Xu, Hangjie Yuan, Yongfei Zhao, Mingqian Tang, Mang Wang. 1492-1496 [doi]
• Balanced Masked and Standard Face RecognitionDelong Qi, Kangli Hu, Weijun Tan, Qi Yao, Jingfeng Liu. 1497-1502 [doi]
• Explainable Face Recognition based on Accurate Facial CompositionsHaoran Jiang, Dan Zeng. 1503-1512 [doi]
• An Efficient Network Design for Face Video Super-resolutionFeng Yu, He Li, Sige Bian, Yongming Tang. 1513-1520 [doi]
• Revisting Quantization Error in Face AlignmentXing Lan, Qinghao Hu, Jian Cheng. 1521-1530 [doi]
• Boosting Fairness for Masked Face RecognitionJun Yu, Xinlong Hao, Zeyu Cui, Peng He, Tongliang Liu. 1531-1540 [doi]
• Nuisance-Label Supervision: Robustness Improvement by Free LabelsXinyue Wei, Weichao Qiu, Yi Zhang, Zihao Xiao, Alan L. Yuille. 1541-1550 [doi]
• EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided FlowYuying Hao, Yi Liu, Zewu Wu, Lin Han, Yizhou Chen, Guowei Chen, Lutao Chu, Shiyu Tang, Zhiliang Yu, Zeyu Chen, Baohua Lai. 1551-1560 [doi]
• Data Augmentation for Scene Text RecognitionRowel Atienza. 1561-1570 [doi]
• Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse ConditionsVishal Vinod, K. Ram Prabhakar, R. Venkatesh Babu, Anirban Chakraborty. 1571-1582 [doi]
• Using Synthetic Data Generation to Probe Multi-View Stereo NetworksPranav Acharya, Daniel Lohn, Vivian Ross, Maya Ha, Alexander Rich, Ehsan Sayyad, Tobias Höllerer. 1583-1591 [doi]
• Meta Self-Learning for Multi-Source Domain Adaptation: A BenchmarkShuhao Qiu, Chuang Zhu, Wenli Zhou. 1592-1601 [doi]
• Localizing Human Keypoints beyond the Bounding BoxSoonchan Park, Jinah Park. 1602-1611 [doi]
• Learning to Localise and Count with Incomplete Dot-annotationsFeng Chen, Michael P. Pound, Andrew P. French. 1612-1620 [doi]
• Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and SegmentationAngira Sharma, Naeemullah Khan, Muhammad Mubashar, Ganesh Sundaramoorthi, Philip H. S. Torr. 1621-1630 [doi]
• Reducing Label Effort: Self-Supervised meets Active LearningJavad Zolfaghari Bengar, Joost van de Weijer 0001, Bartlomiej Twardowski, Bogdan C. Raducanu. 1631-1639 [doi]
• Self-improving classification performance through GAN distillationMatteo Pennisi, Simone Palazzo, Concetto Spampinato. 1640-1648 [doi]
• Interactive Labeling for Human Pose Estimation in Surveillance VideosMickael Cormier, Fabian Röpke, Thomas Golda, Jürgen Beyerer. 1649-1658 [doi]
• Object-Based Augmentation for Building Semantic Segmentation: Ventura and Santa Rosa Case StudySvetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Mariia Pukalchik, Ivan V. Oseledets. 1659-1668 [doi]
• Bounding Box Dataset Augmentation for Long-range Object Distance EstimationMarten Franke, Vaishnavi Gopinath, Chaitra Reddy, Danijela Ristic-Durrant, Kai Michels. 1669-1677 [doi]
• Weakly-Supervised Semantic Segmentation by Learning Label UncertaintyRobby Neven, Davy Neven, Bert De Brabandere, Marc Proesmans, Toon Goedemé. 1678-1686 [doi]
• All you need are a few pixels: semantic segmentation with PixelPickGyungin Shin, Weidi Xie, Samuel Albanie. 1687-1697 [doi]
• InAugment: Improving Classifiers via Internal AugmentationMoab Arar, Ariel Shamir, Amit Bermano. 1698-1707 [doi]
• Virtual Touch: Computer Vision Augmented Touch-Free Scene Exploration for the Blind or Visually ImpairedXixuan Julie Liu, Yi Fang. 1708-1717 [doi]
• Audi-Exchange: AI-Guided Hand-based Actions to Assist Human-Human Interactions for the Blind and the Visually ImpairedDaohan Lu, Yi Fang 0006. 1718-1726 [doi]
• Efficient Search in a Panoramic Image Database for Long-term Visual LocalizationSemih Orhan, Yalin Bastanlar. 1727-1734 [doi]
• Exploiting Egocentric Vision on Shopping Cart for Out-Of-Stock Detection in Retail EnvironmentsDario Allegra, Mattia Litrico, Maria Ausilia Napoli Spatafora, Filippo Stanco, Giovanni Maria Farinella. 1735-1740 [doi]
• Optical Braille Recognition Using Object Detection Neural NetworkIlya G. Ovodov. 1741-1748 [doi]
• FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and IntegrationYu Rong, Takaaki Shiratori, Hanbyul Joo. 1749-1759 [doi]
• Trans4Trans: Efficient Transformer for Transparent Object Segmentation to Help Visually Impaired People Navigate in the Real WorldJiaming Zhang, Kailun Yang 0001, Angela Constantinescu, Kunyu Peng, Karin Müller 0001, Rainer Stiefelhagen. 1760-1770 [doi]
• Deep Embeddings-based Place Recognition Robust to Motion BlurPiotr Wozniak, Bogdan Kwolek. 1771-1779 [doi]
• HIDA: Towards Holistic Indoor Understanding for the Visually Impaired via Semantic Instance Segmentation with a Wearable Solid-State LiDAR SensorHuayao Liu, Ruiping Liu, Kailun Yang 0001, Jiaming Zhang, Kunyu Peng, Rainer Stiefelhagen. 1780-1790 [doi]
• ToFNest: Efficient normal estimation for time-of-flight depth camerasSzilárd Molnár, Benjamin Kelényi, Levente Tamás. 1791-1798 [doi]
• ORB-SLAM with Near-infrared images and Optical Flow dataAntonio Buemi, Arcangelo Bruna, Sylvain Petinot, Nicolas Roux. 1799-1804 [doi]
• High Perceptual Quality Image Denoising with a Posterior Sampling CGANGuy Ohayon, Theo Adrai, Gregory Vaksman, Michael Elad, Peyman Milanfar. 1805-1813 [doi]
• Unsupervised Generative Adversarial Networks with Cross-model Weight Transfer Mechanism for Image-to-image TranslationXuguang Lai, Xiuxiu Bai, Yongqiang Hao. 1814-1822 [doi]
• Rethinking Content and Style: Exploring Bias for Unsupervised DisentanglementXuanchi Ren, Tao Yang, Yuwang Wang, Wenjun Zeng. 1823-1832 [doi]
• SwinIR: Image Restoration Using Swin TransformerJingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang 0008, Luc Van Gool, Radu Timofte. 1833-1844 [doi]
• Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More ImagesMohammad Saeed Rad, Thomas Yu, Behzad Bozorgtabar, Jean-Philippe Thiran. 1845-1854 [doi]
• Generalized Real-World Super-Resolution through Adversarial RobustnessAngela Castillo, María Escobar, Juan C. Pérez, Andrés Romero, Radu Timofte, Luc Van Gool, Pablo Arbelaez. 1855-1865 [doi]
• Stochastic Image Denoising by Sampling from the Posterior DistributionBahjat Kawar, Gregory Vaksman, Michael Elad. 1866-1875 [doi]
• Reducing Noise Pixels and Metric Bias in Semantic Inpainting on Segmentation MapJianfeng He, Bei Xiao, Xuchao Zhang, Shuo Lei, Shuhui Wang, Chang-Tien Lu. 1876-1885 [doi]
• Distilling Reflection Dynamics for Single-Image Reflection RemovalQuanlong Zheng, Xiaotian Qiao, Ying Cao 0001, Shi Guo, Lei Zhang 0006, Rynson W. H. Lau. 1886-1894 [doi]
• SDWNet: A Straight Dilated Network with Wavelet Transformation for image DeblurringWenbin Zou, Mingchao Jiang, Yunchen Zhang, Liang Chen, Zhiyong Lu, Yi Wu. 1895-1904 [doi]
• Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic DataXintao Wang, Liangbin Xie, Chao Dong, Ying Shan. 1905-1914 [doi]
• Manipulating Image Style Transformation via Latent-Space SVMQiudan Wang. 1915-1923 [doi]
• SMILE: Semantically-guided Multi-attribute Image and Layout EditingAndrés Romero, Luc Van Gool, Radu Timofte. 1924-1933 [doi]
• Contrastive Feature Loss for Image PredictionAlex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang 0001. 1934-1943 [doi]
• Efficient Wavelet Boost Learning-Based Multi-stage Progressive Refinement Network for Underwater Image EnhancementFushuo Huo, Bingheng Li, Xuegui Zhu. 1944-1952 [doi]
• Saliency-Guided Transformer Network combined with Local Embedding for No-Reference Image Quality AssessmentMengmeng Zhu, Guanqun Hou, Xinjia Chen, Jiaxing Xie, Haixian Lu, Jun Che. 1953-1962 [doi]
• Improving Key Human Features for Pose TransferVictor-Andrei Ivan, Ionut Mistreanu, Andrei Leica, Sung-Jun Yoon, Manri Cheon, Junwoo Lee, Jinsoo Oh. 1963-1972 [doi]
• DeepFake MNIST+: A DeepFake Facial Animation DatasetJiajun Huang, Xueyu Wang, Bo Du 0001, Pei Du, Chang Xu 0002. 1973-1982 [doi]
• Simple and Efficient Unpaired Real-world Super-Resolution using Image StatisticsKwangjin Yoon. 1983-1990 [doi]
• Sparse to Dense Motion Transfer for Face Image AnimationRuiqi Zhao, Tianyi Wu, Guodong Guo. 1991-2000 [doi]
• Graph2Pix: A Graph-Based Image to Image Translation FrameworkDilara Gokay, Enis Simsar, Efehan Atici, Alper Ahmetoglu, Atif Emre Yüksel, Pinar Yanardag. 2001-2010 [doi]
• Underwater Image Color Correction Using Ensemble Colorization NetworkArpit Pipara, Urvi Oza, Srimanta Mandal. 2011-2020 [doi]
• A System for Fusing Color and Near-Infrared Images in Radiance DomainKim C. Ng, Jinglin Shen, Chiu Man Ho. 2021-2030 [doi]
• 3D Scene Angles using UL Decomposition of Planar HomographyPinak Paliwal, Vikas Paliwal. 2031-2038 [doi]
• MRGAN: Multi-Rooted 3D Shape Representation Learning with Unsupervised Part DisentanglementRinon Gal, Amit Bermano, Hao Zhang 0002, Daniel Cohen-Or. 2039-2048 [doi]
• ABD-Net: Attention Based Decomposition Network for 3D Point Cloud DecompositionSiddharth Katageri, Shashidhar Veerappa Kudari, Akshaykumar Gunari, Ramesh Ashok Tabib, Uma Mudenagudi. 2049-2057 [doi]
• SPACE: A Simulator for Physical Interactions and Causal Learning in 3D EnvironmentsJiafei Duan Nanyang, Samson Yu Bai Jian, Cheston Tan. 2058-2063 [doi]
• Learning Laplacians in Chebyshev Graph Convolutional NetworksHichem Sahbi. 2064-2075 [doi]
• Investigating transformers in the decomposition of polygonal shapes as point collectionsAndrea Alfieri, Yancong Lin, Jan C. van Gemert. 2076-2085 [doi]
• Evaluation of Latent Space Learning with Procedurally-Generated Datasets of ShapesSharjeel Ali, Oliver van Kaick. 2086-2094 [doi]
• Towards Efficient Point Cloud Graph Neural Networks Through Architectural SimplificationShyam A. Tailor, René de Jong, Tiago Azevedo, Matthew Mattina, Partha Maji. 2095-2104 [doi]
• U-Net based skeletonization and bag of tricksNam Hoang Nguyen. 2105-2109 [doi]
• 3D Shapes Local Geometry Codes Learning with SDFShun Yao, Fei Yang 0004, Yongmei Cheng, Mikhail G. Mozerov. 2110-2117 [doi]
• PatchAugment: Local Neighborhood Augmentation in Point Cloud ClassificationShivanand Venkanna Sheshappanavar, Vinit Veerendraveer Singh, Chandra Kambhamettu. 2118-2127 [doi]
• DISCO - U-Net based Autoencoder Architecture with Dual Input Streams for Skeleton Image DrawingSoonyong Song, Heechul Bae, Junhee Park. 2128-2135 [doi]
• Distance and Edge Transform for Skeleton ExtractionXiaojun Tang, Rui Zheng, Yinghao Wang. 2136-2141 [doi]
• SkeletonNetV2: A Dense Channel Attention Blocks for Skeleton ExtractionSabari Nathan, Priya Kansal. 2142-2149 [doi]
• Temporal Cues from Socially Unacceptable Trajectories for Anomaly DetectionNeelu Madan, Arya Farkhondeh, Kamal Nasrollahi, Sergio Escalera, Thomas B. Moeslund. 2150-2158 [doi]
• Multiple Instance Triplet Loss for Weakly Supervised Multi-Label Action Localisation of Interacting PersonsSovan Biswas, Juergen Gall. 2159-2167 [doi]
• Emotional Features of Interactions with Empathic AgentsClaudia Greco, Carmela Buono, Pau Buch-Cardona, Gennaro Cordasco, Sergio Escalera, Anna Esposito, Anaïs Fernández, Daria Kyslitska, Maria Stylianou Kornes, Cristina Palmero, Jofre Tenorio-Laranga, Anna Torp Johansen, María Inés Torres. 2168-2176 [doi]
• Dyadformer: A Multi-modal Transformer for Long-Range Modeling of Dyadic InteractionsDavid Curto, Albert Clapés, Javier Selva, Sorina Smeureanu, Júlio C. S. Jacques Júnior, David Gallardo-Pujol, Georgina Guilera, David Leiva, Thomas B. Moeslund, Sergio Escalera, Cristina Palmero. 2177-2188 [doi]
• Concurrent Discrimination and Alignment for Self-Supervised Feature LearningAnjan Dutta 0001, Massimiliano Mancini, Zeynep Akata. 2189-2198 [doi]
• Multi-Modal RGB-D Scene Recognition Across DomainsAndrea Ferreri, Silvia Bucci, Tatiana Tommasi. 2199-2208 [doi]
• In Defense of the Learning Without Forgetting for Task Incremental LearningGuy Oren, Lior Wolf. 2209-2218 [doi]
• MILA: Multi-Task Learning from Videos via Efficient Inter-Frame AttentionDonghyun Kim, Tian Lan, Chuhang Zou, Ning Xu, Bryan A. Plummer, Stan Sclaroff, Jayan Eledath, Gérard G. Medioni. 2219-2229 [doi]
• ConvNets vs. Transformers: Whose Visual Representations are More Transferable?Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Yizhou Yu. 2230-2238 [doi]
• UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial AttacksNareshKumar Gurulingan, Elahe Arani, Bahram Zonooz. 2239-2248 [doi]
• Audio-Visual Transformer Based Crowd CountingUsman Sajid, Xiangyu Chen, Hasan Sajid, Taejoon Kim, Guanghui Wang. 2249-2259 [doi]
• Simple Baseline for Single Human Motion ForecastingChenxi Wang, Yunfeng Wang, Zixuan Huang, Zhiwen Chen. 2260-2265 [doi]
• SCAT: Stride Consistency with Auto-regressive regressor and Transformer for hand pose estimationDaiheng Gao, Bang Zhang, Qi Wang, Xindi Zhang, Pan Pan, Yinghui Xu. 2266-2275 [doi]
• Pose Transformers (POTR): Human Motion Prediction with Non-Autoregressive TransformersÁngel Martínez-González, Michael Villamizar, Jean-Marc Odobez. 2276-2284 [doi]
• STIRNet: A Spatial-temporal Interaction-aware Recursive Network for Human Trajectory PredictionYusheng Peng, Gaofeng Zhang, Xiangyu Li, Liping Zheng. 2285-2293 [doi]
• Learning Decoupled Representations for Human Pose ForecastingBehnam Parsaeifard, Saeed Saadatnejad, Yuejiang Liu, Taylor Mordan, Alexandre Alahi. 2294-2303 [doi]
• Multi-Input Fusion for Practical Pedestrian Intention PredictionAnkur Singh, Upendra Suddamalla. 2304-2311 [doi]
• Hard-Negatives or Non-Negatives? A Hard-Negative Selection Strategy for Cross-Modal Retrieval Using the Improved Marginal Ranking LossDamianos Galanopoulos, Vasileios Mezaris. 2312-2316 [doi]
• What Matters for Ad-hoc Video Search? A Large-scale Evaluation on TRECVIDAozhu Chen, Fan Hu, Zihan Wang, Fangming Zhou, Xirong Li 0001. 2317-2322 [doi]
• Instance Search via Fusing Hierarchical Multi-level Retrieval and Human-object Interaction DetectionWenhao Yang, Yinan Song, Zhicheng Zhao, Fei Su. 2323-2327 [doi]
• Fine-Grain Prediction of Strawberry Freshness using Subsurface ScatteringJeremy Klotz, Vijay Rengarajan, Aswin C. Sankaranarayanan. 2328-2336 [doi]
• Online Continual Learning For Visual Food ClassificationJiangpeng He, Fengqing Zhu. 2337-2346 [doi]
• MGGAN: Solving Mode Collapse Using Manifold-Guided TrainingDuhyeon Bang, Hyunjung Shim. 2347-2356 [doi]
• Analyzing and Mitigating JPEG Compression Defects in Deep LearningMax Ehrlich, Larry Davis 0001, Ser-Nam Lim, Abhinav Shrivastava. 2357-2367 [doi]
• Addressing Target Shift in Zero-shot Learning using Grouped Adversarial LearningSaneem A. Chemmengath, Soumava Paul, Samarth Bharadwaj, Suranjana Samanta, Karthik Sankaranarayanan. 2368-2377 [doi]
• An End-to-end Efficient Framework for Remote Physiological Signal SensingChengyang Hu, Ke-Yue Zhang, Taiping Yao, Shouhong Ding, Jilin Li, Feiyue Huang, Lizhuang Ma. 2378-2384 [doi]
• MANet: a Motion-Driven Attention Network for Detecting the Pulse from a Facial Video with Drastic MotionsXuenan Liu, Xuezhi Yang, Ziyan Meng, Ye Wang, Jie Zhang, Alexander Wong. 2385-2390 [doi]
• Weakly Supervised rPPG Estimation for Respiratory Rate EstimationJingda Du, Si-Qi Liu, Bochao Zhang, Pong C. Yuen. 2391-2397 [doi]
• Time Lab's approach to the Challenge on Computer Vision for Remote Physiological MeasurementYuhang Dong, Gongping Yang, Yilong Yin. 2398-2403 [doi]
• The 2nd Challenge on Remote Physiological Signal Sensing (RePSS)Xiaobai Li, Haomiao Sun, Zhaodong Sun, Hu Han 0001, Antitza Dantcheva, Shiguang Shan, Guoying Zhao. 2404-2413 [doi]
• SketchyDepth: from Scene Sketches to RGB-D ImagesGianluca Berardi, Samuele Salti, Luigi di Stefano. 2414-2423 [doi]
• Scene Designer: a Unified Model for Scene Search and Synthesis from SketchLeo Sampaio Ferraz Ribeiro, Tu Bui, John P. Collomosse, Moacir Ponti. 2424-2433 [doi]
• Supporting Reference Imagery for Digital DrawingJosh Holinaty, Alec Jacobson, Fanny Chevalier. 2434-2442 [doi]
• SketchBird: Learning to Generate Bird Sketches from TextShaozu Yuan, Aijun Dai, Zhiling Yan, Zehua Guo 0006, Ruixue Liu, Meng Chen 0006. 2443-2452 [doi]
• A Robust End-to-end Method for Parametric Curve Tracing via Soft Cosine-similarity-based Objective FunctionBoran Han, Jeremy Vila. 2453-2463 [doi]
• A Technical Survey and Evaluation of Traditional Point Cloud Clustering Methods for LiDAR Panoptic SegmentationYiming Zhao, Xiao Zhang, Xinming Huang 0001. 2464-2473 [doi]
• Finite Aperture Stereo: 3D Reconstruction of Macro-Scale ScenesMatthew Bailey 0003, Adrian Hilton, Jean-Yves Guillemaut. 2474-2484 [doi]
• *Zhiqi Kang, Radu Horaud, Mostafa Sadeghi. 2485-2495 [doi]
• Object Detection in Cluttered Environments with Sparse Keypoint SelectionViktor Seib, Dietrich Paulus. 2496-2505 [doi]
• Effect of Parameter Optimization on Classical and Learning-based Image Matching MethodsUfuk Efe, Kutalmis Gokalp Ince, A. Aydin Alatan. 2506-2513 [doi]
• CAFT: Class Aware Frequency Transform for Reducing Domain GapVikash Kumar, Sarthak Srivastava, Rohit Lal, Anirban Chakraborty. 2525-2534 [doi]
• Adapting Deep Neural Networks for Pedestrian-Detection to Low-Light Conditions without Re-trainingVedant Shah, Anmol Agarwal, Tanmay Tulsidas Verlekar, Raghavendra Singh. 2535-2541 [doi]
• Towards realistic symmetry-based completion of previously unseen point cloudsTaras Rumezhak, Oles Dobosevych, Rostyslav Hryniv, Vladyslav Selotkin, Volodymyr Karpiv, Mykola Maksymenko. 2542-2550 [doi]
• A closed form solution for viewing graph construction in uncalibrated visionCarlo Colombo, Marco Fanfani. 2551-2558 [doi]
• DC-VINS: Dynamic Camera Visual Inertial Navigation System with Online CalibrationJason Rebello, Chunshang Li, Steven L. Waslander. 2559-2568 [doi]
• Absolute and Relative Pose Estimation in Refractive Multi ViewXiao Hu, François Lauze, Kim Steenstrup Pedersen, Jean Mélou. 2569-2578 [doi]
• Markerless Visual Tracking of a Container Crane SpreaderManolis I. A. Lourakis, Maria Pateraki. 2579-2586 [doi]
• Multi-modal Variational Faster R-CNN for Improved Visual Object Detection in ManufacturingPanagiotis Mouzenidis, Antonios Louros, Dimitrios Konstantinidis, Kosmas Dimitropoulos, Petros Daras, Theofilos Mastos. 2587-2594 [doi]
• An Anomaly Detection System via Moving Surveillance Robots with Human CollaborationMuhammad Zaigham Zaheer, Arif Mahmood, M. Haris Khan, Marcella Astrid, Seung-Ik Lee. 2595-2601 [doi]
• 3D Semantic Label Transfer in Human-Robot CollaborationDávid Rozenberszki, Gábor Sörös, Szilvia Szeier, András Lorincz. 2602 [doi]
• Cloth mechanical parameter estimation and simulation for optimized robotic manipulationN. E. Anatoliotakis, P. Koustoumpardis, K. Moustakas. 2612-2620 [doi]
• InstancePose: Fast 6DoF Pose Estimation for Multiple Objects from a Single RGB ImageLee Aing, Wen-Nung Lie, Jui-Chiu Chiang, Guo-Shiang Lin. 2621-2630 [doi]
• Localize, Group, and Select: Boosting Text-VQA by Scene Text ModelingXiaoPeng Lu, Zhen Fan 0003, Yansen Wang, Jean Oh, Carolyn P. Rosé. 2631-2639 [doi]
• SignPose: Sign Language Animation Through 3D Pose LiftingShyam Krishna, Vijay Vignesh P, Dinesh Babu J. 2640-2649 [doi]
• Semantic Segmentation With Multi Scale Spatial Attention For Self Driving CarsAbhinav Sagar, Rajkumar Soundrapandiyan. 2650-2656 [doi]
• LiteEdge: Lightweight Semantic Edge Detection NetworkHao Wang, Hasan Mohamed, Zuowen Wang, Bodo Rueckauer, Shih-Chii Liu. 2657-2666 [doi]
• A Unified Efficient Pyramid Transformer for Semantic SegmentationFangrui Zhu, Yi Zhu, Li Zhang 0040, Chongruo Wu, Yanwei Fu, Mu Li 0003. 2667-2677 [doi]
• Learning Spatio-Appearance Memory Network for High-Performance Visual TrackingFei Xie, Wankou Yang, Kaihua Zhang, Bo Liu, Guangting Wang, Wangmeng Zuo. 2678-2687 [doi]
• Learning Tracking Representations via Dual-Branch Fully Transformer NetworksFei Xie, Chunyu Wang, Guangting Wang, Wankou Yang, Wenjun Zeng. 2688-2697 [doi]
• Is First Person Vision Challenging for Object Tracking?Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella, Christian Micheloni. 2698-2710 [doi]
• The Ninth Visual Object Tracking VOT2021 Challenge ResultsMatej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, LLukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhen-Hua Feng, Zhiyong Feng 0001, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Gunsel, Qing Guo 0005, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, Jun Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun-Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer 0007, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao 0001, Mohamed Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang 0004, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu 0001, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan 0002, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu. 2711-2738 [doi]
• Beat-to-Beat Cardiac Pulse Rate Measurement From VideoBrian L. Hill, Xin Liu, Daniel McDuff. 2739-2742 [doi]
• Estimating Heart Rate from Unlabelled VideoJohn Gideon, Simon Stent. 2743-2749 [doi]
• LCOMS Lab's approach to the Vision For Vitals (V4V) ChallengeYassine Ouzar, Djamaleddine Djeldjli, Frédéric Bousefsaf, Choubeila Maaoui. 2750-2754 [doi]
• Automatic region-based heart rate measurement using remote photoplethysmographyBenjamin Kossack, Eric L. Wisotzky, Anna Hilsmann, Peter Eisert. 2755-2759 [doi]
• The First Vision For Vitals (V4V) Challenge for Non-Contact Video-Based Physiological EstimationAmbareesh Revanur, Zhihua Li, Umur A. Ciftci, Lijun Yin, László A. Jeni. 2760-2767 [doi]
• Tackling the Background Bias in Sparse Object Detection via Cropped WindowsLeon Amadeus Varga, Andreas Zell. 2768-2777 [doi]
• TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured ScenariosXingkui Zhu, Shuchang Lyu, Xu Wang, Qi Zhao. 2778-2788 [doi]
• Coarse-grained Density Map Guided Object Detection in Aerial ImagesChengzhen Duan, Zhiwei Wei, Chi Zhang, Siying Qu, Hongpeng Wang. 2789-2798 [doi]
• ViT-YOLO: Transformer-Based YOLO for Object DetectionZixiao Zhang, Xiaoqiang Lu, Guojin Cao, Yuting Yang, Licheng Jiao, Fang Liu. 2799-2808 [doi]
• GIAOTracker: A comprehensive framework for MCMOT with global information and optimizing strategies in VisDrone 2021Yunhao Du, Junfeng Wan, Yanyun Zhao, Binyu Zhang, Zhihang Tong, Junhao Dong. 2809-2819 [doi]
• VistrongerDet: Stronger Visual Information for Object Detection in VisDrone ImagesJunfeng Wan, Binyu Zhang, Yanyun Zhao, Yunhao Du, Zhihang Tong. 2820-2829 [doi]
• VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge ResultsZhihao Liu, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven Hoi, Qinghua Hu, Ming Liu, Junwen Pan, Baoqun Yin, Binyu Zhang, Chengxin Liu, Ding Ding, Dingkang Liang, Guanchen Ding, Hao Lu, Hui Lin, Jingyuan Chen, Jiong Li, Liang Liu, Lin Zhou, Min Shi, Qianqian Yang, Qing He, Sifan Peng, Wei Xu, Wenwei Han, Xiang Bai, Xiwu Chen, Yabin Wang, Yinfeng Xia, Yiran Tao, Zhenzhong Chen, Zhiguo Cao 0001. 2830-2838 [doi]
• VisDrone-MOT2021: The Vision Meets Drone Multiple Object Tracking Challenge ResultsGuanlin Chen, Wenguan Wang, Zhijian He, Lujia Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven Chu Hong Hoi, Qinghua Hu, Ming Liu, Andrea Sciarrone, Chao Sun, Chiara Garibotto, Duong Nguyen-Ngoc Tran, Fabio Lavagetto, Halar Haleem, Hakki Motorcu, Hasan F. Ates, Huy Hung Nguyen, Hyung Joon Jeon, Igor Bisio, Jae Wook Jeon, Jiahao Li, Long Hoang Pham, Moongu Jeon, Qianyu Feng, Shengwen Li, Tai Huu-Phuong Tran, Xiao Pan, Young-Min Song, Yuehan Yao, Yunhao Du, Zhenyu Xu, Zhipeng Luo. 2839-2846 [doi]
• VisDrone-DET2021: The Vision Meets Drone Object detection Challenge ResultsYaru Cao, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Chong Cheng, Fanfan Liu, Guojin Cao, Guozhen Li, Hongkai Wang, Jianye He, Junfeng Wan, Qi Wan, Qi Zhao, Shuchang Lyu, Wenzhe Zhao, Xiaoqiang Lu, Xingkui Zhu, Yingjie Liu, Yixuan Lv, Yujing Ma, Yuting Yang, Zhe Wang, Zhenyu Xu, Zhipeng Luo, Zhimin Zhang, Zhiguang Zhang, Zihao Li, Zixiao Zhang. 2847-2854 [doi]
• Monocular 3D Localization of Vehicles in Road ScenesHaotian Zhang, Haorui Ji, Aotian Zheng, Jenq-Neng Hwang, Ren-Hung Hwang. 2855-2864 [doi]
• DriPE: A Dataset for Human Pose Estimation in Real-World Driving SettingsRomain Guesdon, Carlos Fernando Crispim Junior, Laure Tougne. 2865-2874 [doi]
• On the Road to Large-Scale 3D Monocular Scene Reconstruction using Deep Implicit FunctionsThomas Roddick, Benjamin Biggs, Daniel Olmeda Reino, Roberto Cipolla. 2875-2884 [doi]
• Weakly Supervised Approach for Joint Object and Lane Marking DetectionPranjay Shyam, Kuk-Jin Yoon, Kyung Soo Kim. 2885-2895 [doi]
• Speak2Label: Using Domain Knowledge for Creating a Large Scale Driver Gaze Zone Estimation DatasetShreya Ghosh 0001, Abhinav Dhall, Garima Sharma, Sarthak Gupta, Nicu Sebe. 2896-2905 [doi]
• Multi-weather city: Adverse weather stacking for autonomous drivingValentina Musat, Ivan Fursa, Paul Newman 0001, Fabio Cuzzolin, Andrew Bradley. 2906-2915 [doi]
• YOLinO: Generic Single Shot Polyline Detection in Real TimeAnnika Meyer, Philipp Skudlik, Jan-Hendrik Pauls, Christoph Stiller. 2916-2925 [doi]
• Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDARAnshul Paigwar, David Sierra González, Özgür Erkent, Christian Laugier. 2926-2933 [doi]
• Occupancy Grid Mapping with Cognitive Plausibility for Autonomous Driving ApplicationsAlice Plebe, Julian F. P. Kooij, Gastone Pietro Rosati Papini, Mauro Da Lio. 2934-2941 [doi]
• A Computer Vision-Based Attention Generator using DQNJordan B. Chipka, Shuqing Zeng, Thanura R. Elvitigala, Priyantha Mudalige. 2942-2950 [doi]
• RaidaR: A Rich Annotated Image Dataset of Rainy Street ScenesJiongchao Jin, Arezou Fatemi, Wallace M. P. Lira, Fenggen Yu, Biao Leng, Rui Ma 0011, Ali Mahdavi-Amiri, Hao (Richard) Zhang. 2951-2961 [doi]
• CDAda: A Curriculum Domain Adaptation for Nighttime Semantic SegmentationQi Xu, Yinan Ma, Jing Wu 0006, Chengnian Long, Xiaolin Huang. 2962-2971 [doi]
• Causal BERT: Improving object detection by searching for challenging groupsCinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, KyungHyun Cho, Sanja Fidler. 2972-2981 [doi]
• CenterPoly: real-time instance segmentation using bounding polygonsHughes Perreault, Guillaume-Alexandre Bilodeau, Nicolas Saunier, Maguelonne Héritier. 2982-2991 [doi]
• It's All Around You: Range-Guided Cylindrical Network for 3D Object DetectionMeytal Rapoport-Lavie, Dan Raviv. 2992-3001 [doi]
• SCARF: A Semantic Constrained Attention Refinement Network for Semantic SegmentationXiaofeng Ding, Chaomin Shen, Zhengping Che, Tieyong Zeng, Yaxin Peng. 3002-3011 [doi]
• DVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving VehiclesShivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Brian C. Becker. 3012-3021 [doi]
• SA-Det3D: Self-Attention Based Context-Aware 3D Object DetectionPrarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki. 3022-3031 [doi]
• Semantics-aware Multi-modal Domain Translation: From LiDAR Point Clouds to Panoramic Color ImagesTiago Cortinhal, Fatih Kurnaz, Eren Erdal Aksoy. 3032-3041 [doi]
• SS-SFDA : Self-Supervised Source-Free Domain Adaptation for Road Segmentation in Hazardous EnvironmentsDivya Kothandaraman, Rohan Chandra, Dinesh Manocha. 3042-3052 [doi]
• Graph Convolutional Networks for 3D Object Detection on Radar DataMichael Meyer, Georg Kuschk, Sven Tomforde. 3053-3062 [doi]
• Few-Shot Batch Incremental Road Object Detection via Detector FusionAnuj Tambwekar, Kshitij Agrawal, Anay Majee, Anbumani Subramanian. 3063-3070 [doi]
• Synthetic Data Generation using Imitation TrainingAman Kishore, Tae Eun Choe, Junghyun Kwon, Minwoo Park, Pengfei Hao, Akshita Mittel. 3071-3079 [doi]
• Efficient Uncertainty Estimation in Semantic Segmentation via DistillationChristopher J. Holder, Muhammad Shafique. 3080-3087 [doi]
• Autonomous Vehicle Vision 2021: ICCV Workshop SummaryRui Fan 0001, Nemanja Djuric, Fisher Yu, Rowan McAllister, Ioannis Pitas. 3088-3095 [doi]
• Visual Reasoning using Graph Convolutional Networks for Predicting Pedestrian Crossing IntentionTina Chen, Renran Tian, Zhengming Ding. 3096-3102 [doi]
• Cross-modal Matching CNN for Autonomous Driving Sensor Data MonitoringYiqiang Chen, Feng Liu, Ke Pei. 3103-3112 [doi]
• Multi-Stage Fusion for Multi-Class 3D Lidar DetectionZejie Wang, Zhen Zhao, Zhao Jin, Zhengping Che, Jian Tang, Chaomin Shen, Yaxin Peng. 3113-3121 [doi]
• Egocentric Biochemical Video-and-Language DatasetTaichi Nishimura, Kojiro Sakoda, Atsushi Hashimoto, Yoshitaka Ushiku, Natsuko Tanaka, Fumihito Ono, Hirotaka Kameko, Shinsuke Mori. 3122-3126 [doi]
• CIGLI: Conditional Image Generation from Language & ImageXiaoPeng Lu, Lynnette Ng, Jared Fernandez, Hao Zhu. 3127-3131 [doi]
• Semi-Autoregressive Transformer for Image CaptioningYuanen Zhou, Yong Zhang, Zhenzhen Hu, Meng Wang. 3132-3136 [doi]
• Latent Variable Models for Visual Question AnsweringZixu Wang, Yishu Miao, Lucia Specia. 3137-3141 [doi]
• What You Say Is Not What You Do: Studying Visio-Linguistic Models for TV Series SummarizationAlison Reboud, Raphaël Troncy. 3142-3146 [doi]
• Visual Question Answering with Textual Representations for ImagesYusuke Hirota, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Ittetsu Taniguchi, Takao Onoye. 3147-3150 [doi]
• Language-guided Multi-Modal Fusion for Video Action RecognitionJenhao Hsiao, Yikang Li, Chiuman Ho. 3151-3155 [doi]
• Video Transformer NetworkDaniel Neimark, Omri Bar, Maya Zohar, Dotan Asselmann. 3156-3165 [doi]
• TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization TasksHumam Alwassel, Silvio Giancola, Bernard Ghanem. 3166-3176 [doi]
• Face, Body, Voice: Video Person-Clustering with Multiple ModalitiesAndrew Brown 0006, Vicky Kalogeiton, Andrew Zisserman. 3177-3187 [doi]
• Video Contrastive Learning with Global ContextHaofei Kuang, Yi Zhu, Zhi Zhang, Xinyu Li, Joseph Tighe, Sören Schwertfeger, Cyrill Stachniss, Mu Li 0003. 3188 [doi]
• Plots to Previews: Towards Automatic Movie Preview Retrieval using Publicly Available Meta-dataBhagyashree Gaikwad, Ankita Sontakke, Manasi S. Patwardhan, Niranjan Pedanekar, Shirish Subhash Karande. 3198-3207 [doi]
• Learning Where to Cut from Edited VideosYuzhong Huang, Xue Bai, Oliver Wang, Fabian Caba, Aseem Agarwala. 3208-3216 [doi]
• VLG-Net: Video-Language Graph Matching Network for Video GroundingMattia Soldan, Mengmeng Xu, Sally Sisi Qu, Jesper Tegnér, Bernard Ghanem. 3217-3227 [doi]
• VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision TransformersSharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Salah A. Baker. 3228-3238 [doi]
• A Dual Adversarial Calibration Framework for Automatic Fetal Brain BiometryYuan Gao 0017, Lok Hin Lee, Richard Droste, Rachel Craik, Sridevi Beriwal, Aris Papageorghiou, J. Alison Noble. 3239-3247 [doi]
• Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image EnhancementUddeshya Upadhyay, Viswanath P. Sudarshan, Suyash P. Awate. 3248-3257 [doi]
• Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) ImagesAshia Lewis, Evanjelin Mahmoodi, Yuyue Zhou, Megan Coffee, Elena Sizikova. 3258-3266 [doi]
• Deep Frequency Re-calibration U-Net for Medical Image SegmentationReza Azad, Afshin Bozorgpour, Maryam Asadi-Aghbolaghi, Dorit Merhof, Sergio Escalera. 3267-3276 [doi]
• Multi-scanner Harmonization of Paired Neuroimaging Data via Structure Preserving Embedding LearningMahbaneh Eshaghzadeh Torbati, Dana L. Tudorascu, Davneet S. Minhas, Pauline Maillard, Charles DeCarli, Seong Jae Hwang. 3277-3286 [doi]
• End-to-End Learning of Fused Image and Non-Image Features for Improved Breast Cancer Classification from MRIGregory Holste, Savannah C. Partridge, Habib Rahbar, Debosmita Biswas, Christoph I. Lee, Adam M. Alessio. 3287-3296 [doi]
• Graph Cuts Loss to Boost Model Accuracy and Generalizability for Medical Image SegmentationZhou Zheng, Masahiro Oda, Kensaku Mori. 3297-3306 [doi]
• Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural NetworksThanh T. Tran, Hieu H. Pham, Thang V. Nguyen, Tung T. Le, Hieu T. Nguyen, Ha Q. Nguyen 0001. 3307-3316 [doi]
• SOoD: Self-Supervised Out-of-Distribution Detection Under Domain Shift for Multi-Class Colorectal Cancer Tissue TypesBehzad Bozorgtabar, Guillaume Vray, Dwarikanath Mahapatra, Jean-Philippe Thiran. 3317-3326 [doi]
• BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease DiagnosisMasoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, Aichi Chien, C. C. Jay Kuo, Fabien Scalzo, Kai-Wei Chang. 3327-3336 [doi]
• Medical Image Classification Using Generalized Zero Shot LearningDwarikanath Mahapatra, Behzad Bozorgtabar, ZongYuan Ge. 3337-3346 [doi]
• EfficientARL: improving skin cancer diagnoses by combining lightweight attention on EfficientNetMiguel Nehmad Alche, Daniel Acevedo, Marta Mejail. 3347-3353 [doi]
• DMNet: Dual-Stream Marker Guided Deep Network for Dense Cell Segmentation and Lineage TrackingRina Bao, Noor M. Al-Shakarji, Filiz Bunyak, Kannappan Palaniappan. 3354-3363 [doi]
• Unsupervised 3D Shape Coverage Estimation with Applications to ColonoscopyYochai Blau, Daniel Freedman, Valentin Dashinsky, Roman Goldenberg, Ehud Rivlin. 3364-3374 [doi]
• Generalizing Few-Shot Classification of Whole-Genome Doubling Across Cancer TypesSherry Chao, David Belanger. 3375-3385 [doi]
• Style Transfer based Coronary Artery Segmentation in X-ray AngiogramSupriti Mulay, Keerthi Ram, Balamurali Murugesan, Mohanasankar Sivaprakasam. 3386-3394 [doi]
• Segmentation for Classification of Screening Pancreatic Neuroendocrine TumorsZhuotun Zhu, Yongyi Lu, Wei Shen 0002, Elliot K. Fishman, Alan L. Yuille. 3395-3401 [doi]
• MedSkip: Medical Report Generation Using Skip Connections and Integrated AttentionEsha Pahwa, Dwij Mehta, Sanjeet Kapadia, Devansh Jain, Achleshwar Luthra. 3402-3408 [doi]
• Studying the Effects of Self-Attention for Medical Image AnalysisAdrit Rao, Jongchan Park, Sanghyun Woo, Joon-Young Lee, Oliver Aalami. 3409-3418 [doi]
• MAAD: A Model and Dataset for "Attended Awareness" in DrivingDeepak Gopinath, Guy Rosman, Simon Stent, Katsuya Terahata, Luke Fletcher, Brenna Argall, John J. Leonard. 3419-3429 [doi]
• SlowFast Rolling-Unrolling LSTMs for Action Anticipation in Egocentric VideosNada Osman, Guglielmo Camporese, Pasquale Coscia, Lamberto Ballan. 3430-3438 [doi]
• Seeing the Unseen: Predicting the First-Person Camera Wearer's Location and Pose in Third-Person ScenesYangming Wen, Krishna Kumar Singh, Markham Anderson, Wei-Pang Jan, Yong Jae Lee. 3439-3448 [doi]
• Egocentric Indoor Localization from Room Layouts and Image Outer CornersXiaowei Chen, Guoliang Fan. 3449-3458 [doi]
• 1000 Pupil Segmentations in a Second using Haar Like Features and Statistical LearningWolfgang Fuhl, Johannes Schneider, Enkelejda Kasneci. 3459-3469 [doi]
• Temporal Kernel Consistency for Blind Video Super-ResolutionLichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen 0001. 3470-3479 [doi]
• UAC: An Uncertainty-Aware Face Clustering AlgorithmBiplob Debnath, Giuseppe Coviello, Yi Yang 0018, Srimat Chakradhar. 3480-3488 [doi]
• LLVIP: A Visible-infrared Paired Dataset for Low-light VisionXinyu Jia, Chuang Zhu, Minzhen Li, Wenqi Tang, Wenli Zhou. 3489-3497 [doi]
• Blocks World Revisited: The Effect of Self-Occlusion on Classification by Convolutional Neural NetworksMarkus D. Solbach, John K. Tsotsos. 3498-3507 [doi]
• Multiple GAN Inversion for Exemplar-based Image-to-Image TranslationTaewon Kang. 3508-3515 [doi]
• Single-stage Face Detection under Extremely Low-light ConditionsJun Yu, Xinlong Hao, Peng He. 3516-3525 [doi]
• FSER: Deep Convolutional Neural Networks for Speech Emotion RecognitionBonaventure F. P. Dossou, Yeno K. S. Gbenou. 3526-3531 [doi]
• Prior Aided Streaming Network for Multi-task Affective AnalysisWei Zhang, Zunhu Guo, Keyu Chen, Lincheng Li, Zhimeng Zhang, Yu Ding 0001, Runze Wu, Tangjie Lv, Changjie Fan. 3532-3542 [doi]
• Causal affect prediction model using a past facial image sequenceGeesung Oh, Euiseok Jeong, Sejoon Lim. 3543-3549 [doi]
• Iterative Distillation for Better Uncertainty Estimates in Multitask Emotion RecognitionDidan Deng, Liang Wu, Bertram E. Shi. 3550-3559 [doi]
• Continuous Emotion Recognition with Audio-visual Leader-follower Attentive FusionSu Zhang 0004, Yi Ding, Ziquan Wei, Cuntai Guan. 3560-3567 [doi]
• Evaluating the Performance of Ensemble Methods and Voting Strategies for Dense 2D Pedestrian Detection in the WildAboli Marathe, Rahee Walambe, Ketan Kotecha. 3568-3577 [doi]
• Noisy Annotations Robust Consensual Collaborative Affect Expression RecognitionDarshan Gera, S. Balasubramanian. 3578-3585 [doi]
• Emotion Recognition With Sequential Multi-task Learning TechniquePhan Tran Dac Thinh, Hoang Manh Hung, Hyung Jeong Yang, Soo-Hyung Kim, Guee-Sang Lee. 3586-3589 [doi]
• MTMSN: Multi-Task and Multi-Modal Sequence Network for Facial Action Unit and Expression RecognitionYue Jin, Tianqing Zheng, Chao Gao, Guoqiang Xu. 3590-3595 [doi]
• A Multi-task Mean Teacher for Semi-supervised Facial Affective Behavior AnalysisLingfeng Wang, Shisen Wang, Jin Qi, Kenji Suzuki. 3596-3601 [doi]
• Emotion Recognition Based on Body and Context Fusion in the WildYibo Huang, Hongqian Wen, Linbo Qing, Rulong Jin, Leiming Xiao. 3602-3610 [doi]
• Public Life in Public Space (PLPS): A multi-task, multi-group video dataset for public life researchLinbo Qing, Lindong Li, Shengyu Xu, Yibo Huang, Mei Liu, Rulong Jin, Bo Liu, Tong Niu, Hongqian Wen, Yuchen Wang, Xue Jiang, Yonghong Peng. 3611-3620 [doi]
• Student Engagement DatasetKevin Delgado, Juan Manuel Origgi, Tania Hasanpoor, Hao Yu, Danielle Allessio, Ivon Arroyo, William Lee, Margrit Betke, Beverly Park Woolf, Sarah Adel Bargal. 3621-3629 [doi]
• Multitask Multi-database Emotion RecognitionManh-Tu Vu, Marie Beurton-Aimar, Serge Marchand. 3630-3637 [doi]
• An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wildPanagiotis Antoniadis, Ioannis Pikoulis, Panagiotis Paraskevas Filntisis, Petros Maragos. 3638-3644 [doi]
• Analysing Affective Behavior in the second ABAW2 CompetitionDimitrios Kollias, Stefanos Zafeiriou. 3645-3653 [doi]
• Anomaly Detection for In situ Marine Plankton ImagesYuchun Pu, Zhenghui Feng, Zhonglei Wang, Zhenyu Yang, Jianping Li. 3654-3664 [doi]
• Improving Rare-Class Recognition of Marine Plankton with Hard Negative MiningJoseph L. Walker, Eric C. Orenstein. 3665-3675 [doi]
• Super-resolution for in situ Plankton ImagesWenqi Ma, Tao Chen, Zhengwen Zhang, Zhenyu Yang, Chao Dong, Jianping Qiao, Jianping Li. 3676-3685 [doi]
• A New Deep Learning Engine for CoralNetQimin Chen, Oscar Beijbom, Stephen Chan, Jessica Bouwmeester, David Kriegman. 3686-3695 [doi]
• Hyperspectral 3D Mapping of Underwater EnvironmentsMaxime Ferrera, Aurelien Arnaubec, Klemen Istenic, Nuno Gracias, Touria Bajjouk. 3696-3705 [doi]
• Underwater marker-based pose-estimation with associated uncertaintyPetter Risholm, Peter Ørnulf Ivarsen, Karl-Henrik Haugholt, Ahmed Mohammed. 3706-3714 [doi]
• The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truthPeder Georg Olofsson Zwilgmeyer, Mauhing Yip, Andreas Langeland Teigen, Rudolf Mester, Annette Stahl. 3715-3723 [doi]
• In-Situ Joint Light and Medium Estimation for Underwater Color RestorationDavid Nakath, Mengkun She, Yifan Song, Kevin Köser. 3724-3733 [doi]
• The Marine Debris Dataset for Forward-Looking Sonar Semantic SegmentationDeepak Singh, Matias Valdenegro-Toro. 3734-3742 [doi]
• Simple baselines can fool 360° saliency metricsYasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor. 3743-3749 [doi]
• The Watchlist Imbalance Effect in Biometric Face Identification: Comparing Theoretical Estimates and Empiric MeasurementsPawel Drozdowski, Christian Rathgeb, Christoph Busch 0001. 3750-3758 [doi]
• XAI Handbook: Towards a Unified Framework for Explainable AISebastian Palacio, Adriano Lucieri, Mohsin Munir, Sheraz Ahmed, Jörn Hees, Andreas Dengel 0001. 3759-3768 [doi]
• Towards Solving the DeepFake Problem : An Analysis on Improving DeepFake Detection using Dynamic Face AugmentationSowmen Das, Selim S. Seferbekov, Arup Datta, Md. Saiful Islam, Md. Ruhul Amin. 3769-3778 [doi]
• Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition ModelsPuspita Majumdar, Surbhi Mittal, Richa Singh 0001, Mayank Vatsa. 3779-3788 [doi]
• Toward Affective XAI: Facial Affect Analysis for Understanding Explainable Human-AI InteractionsLuke Guerdan, Alex Raymond, Hatice Gunes. 3789-3798 [doi]
• Bridging the gap between debiasing and privacy for deep learningCarlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto. 3799-3808 [doi]
• Leveraging Temporal Information for 3D Trajectory Estimation of Space ObjectsMohamed Adel Musallam, Miguel Ortiz Del Castillo, Kassem Al Ismaeil, Marcos Damian Perez, Djamila Aouada. 3809-3815 [doi]
• The Aircraft Context Dataset: Understanding and Optimizing Data Variability in Aerial DomainsDaniel Steininger, Verena Widhalm, Julia Simon, Andreas Kriegler, Christoph Sulzbacher. 3816-3825 [doi]
• Pedestrian Occlusion Level Classification using Keypoint Detection and 2D Body Surface Area EstimationShane Gilroy, Martin Glavin, Edward Jones, Darragh Mullins. 3826-3832 [doi]
• Characterizing Scattered Occlusions for Effective Dense-Mode Crowd CountingKhalid J. Almalki, Baek-Young Choi, Yu Chen 0002, Sejun Song. 3833-3842 [doi]
• Occluded Video Instance Segmentation with Set Prediction ApproachHeechul Bae, Soonyong Song, Junhee Park. 3843-3846 [doi]
• Limited Sampling Reference Frame for MaskTrack R-CNNZhuang Li, Leilei Cao, Hongbin Wang. 3847-3850 [doi]
• A Single-Stage, Bottom-up Approach for Occluded VIS using Spatio-temporal EmbeddingsAli Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe. 3851-3855 [doi]
• From VIS To OVIS: A Technical Report To Promote The Development Of The FieldWenbo Li, Xuesheng Li, Qiwei Xu, Chen Li. 3856-3860 [doi]
• Robust Multi-Object Tracking Using Re-Identification Features and Graph Convolutional NetworksChristian Lusardi, Abu Md Niamul Taufique, Andreas E. Savakis. 3861-3870 [doi]
• Appearance and Motion Based Persistent Multiple Object Tracking in Wide Area Motion ImageryLars Sommer, Wolfgang Krüger, Michael Teutsch. 3871-3881 [doi]
• Simulated Photorealistic Deep Learning Framework and Workflows to Accelerate Computer Vision and Unmanned Aerial Vehicle ResearchBrendan Alvey, Derek T. Anderson, Andrew R. Buck, Matthew Deardorff, Grant J. Scott, James M. Keller. 3882-3891 [doi]
• JanusNet: Detection of Moving Objects from UAV PlatformsYuxiang Zhao, Khurram Shafique, Zeeshan Rasheed, Maoxu Li. 3892-3901 [doi]
• An Algorithmic Approach to Quantifying GPS Trajectory ErrorMatthew Plaudis, Muhammad Azam, Derek Jacoby, Marc-Antoine Drouin, Yvonne Coady. 3902-3909 [doi]
• Point Cloud Object Segmentation Using Multi Elevation-Layer 2D Bounding-BoxesTristan Brodeur, Hadi Aliakbarpour, Steve Suddarth. 3910-3918 [doi]
• Learning-Based Shadow Detection in Aerial Imagery Using Automatic Training Supervision from 3D Point CloudsDeniz Kavzak Ufuktepe, Jaired Collins, Ekincan Ufuktepe, Joshua Fraser, Timothy Krock, Kannappan Palaniappan. 3919-3928 [doi]
• Aerial Cross-platform Path Planning DatasetMd. Shahid, Sumohana S. Channappayya. 3929-3938 [doi]
• Cross-modal Relational Reasoning Network for Visual Question AnsweringHongyu Chen, Ruifang Liu, Bo Peng. 3939-3948 [doi]
• BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving EnvironmentsDivya Kothandaraman, Rohan Chandra, Dinesh Manocha. 3949-3958 [doi]
• Photon-Limited Object Detection using Non-local Feature Matching and Knowledge DistillationChengxi Li 0006, Xiangyu Qu, Abhiram Gnanasambandam, Omar A. Elgendy, Jiaju Ma, Stanley H. Chan. 3959-3970 [doi]
• Fast Unsupervised MRI Reconstruction Without Fully-Sampled Ground Truth Data Using Generative Adversarial NetworksElizabeth K. Cole, Frank Ong, Shreyas S. Vasanawala, John M. Pauly. 3971-3980 [doi]
• How to cheat with metrics in single-image HDR reconstructionGabriel Eilertsen, Saghi Hajisharif, Param Hanji, Apostolia Tsirikoglou, Rafal K. Mantiuk, Jonas Unger. 3981-3990 [doi]
• K-space refinement in deep learning MR reconstruction via regularizing scan specific SPIRiT-based self consistencyKanghyun Ryu, Cagan Alkan, Chanyeol Choi, Ikbeom Jang, Shreyas Vasanawala. 3991-4000 [doi]
• What Does Your Computational Imaging Algorithm Not Know?: A Plug-and-Play Model Quantifying Model UncertaintyCanberk Ekmekci, Müjdat Çetin. 4001-4010 [doi]
• Joint Reconstruction and Calibration Using Regularization by Denoising with Application to Computed TomographyMingyang Xie, Jiaming Liu, Yu Sun 0022, Weijie Gan, Brendt Wohlberg, Ulugbek S. Kamilov. 4011-4020 [doi]
• Compressed Classification from Learned MeasurementsRobiulhossain Mdrafi, Ali Cafer Gürbüz. 4021-4030 [doi]
• SS-JIRCS: Self-Supervised Joint Image Reconstruction and Coil Sensitivity Calibration in Parallel MRI without Ground TruthWeijie Gan, Yuyang Hu, Cihat Eldeniz, Jiaming Liu, Yasheng Chen, Hongyu An, Ulugbek S. Kamilov. 4031-4039 [doi]
• Thermal Image Processing via Physics-Inspired Deep NetworksVishwanath Saragadam, Akshat Dave, Ashok Veeraraghavan, Richard G. Baraniuk. 4040-4048 [doi]
• CryoPoseNet: End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy DataYoussef S. G. Nashed, Frédéric Poitevin, Harshit Gupta, Geoffrey Woollard, Michael Kagan, Chun Hong Yoon, Daniel Ratner. 4049-4059 [doi]
• Student-Teacher Oneness: A Storage-efficient approach that improves facial expression recognitionZhenzhu Zheng, Christopher Rasmussen, Xi Peng. 4060-4069 [doi]
• Sparse Feature Representation Learning for Deep Face Gender TransferXudong Liu, Ruizhe Wang, Hao Peng, Minglei Yin, Chih-fan Chen, Xin Li. 4070-4080 [doi]
• Formula-driven Supervised Learning with Recursive Tiling PatternsHirokatsu Kataoka, Asato Matsumoto, Ryosuke Yamada, Yutaka Satoh, Eisuke Yamagata, Nakamasa Inoue. 4081-4088 [doi]
• End-to-end Model-based Gait Recognition using Synchronized Multi-view Pose ConstraintXiang Li 0028, Yasushi Makihara, Chi Xu, Yasushi Yagi. 4089-4098 [doi]
• Multi-Perspective Features Learning for Face Anti-SpoofingZhuming Wang, Yaowen Xu, Lifang Wu, Hu Han 0001, Yukun Ma, Guozhang Ma. 4099-4105 [doi]
• Rethinking Common Assumptions to Mitigate Racial Bias in Face Recognition DatasetsMatthew Gwilliam, Srinidhi Hegde, Lade Tinubu, Alex Hanson 0002. 4106-4115 [doi]
• Attention Aware Debiasing for Unbiased Model PredictionPuspita Majumdar, Richa Singh 0001, Mayank Vatsa. 4116-4124 [doi]
• On the Importance of Encrypting Deep FeaturesXingyang Ni, Heikki Huttunen, Esa Rahtu. 4125-4132 [doi]
• Transformer Meets Part Model: Adaptive Part Division for Person Re-IdentificationShenqi Lai, Zhenhua Chai, Xiaolin Wei. 4133-4140 [doi]
• SVEA: A Small-scale Benchmark for Validating the Usability of Post-hoc Explainable AI Solutions in Image and Signal RecognitionSam Sattarzadeh, Mahesh Sudhakar, Konstantinos N. Plataniotis. 4141-4150 [doi]
• FedAffect: Few-shot federated learning for facial expression recognitionDebaditya Shome, T. Kar. 4151-4158 [doi]
• Two-parameter Persistence for Images via Distance TransformChuan-Shen Hu, Austin Lawson, Yu-Min Chung 0002, Kaitlin Keegan. 4159-4167 [doi]
• The Flag Manifold as a Tool for Analyzing and Comparing Sets of Data SetsXiaofeng Ma, Michael Kirby, Chris Peterson. 4168-4177 [doi]
• A unified framework for non-negative matrix and tensor factorisations with a smoothed Wasserstein lossStephen Y. Zhang. 4178-4186 [doi]
• Dual Transformation and Manifold Distances Voting for Outlier Rejection in Point Cloud RegistrationAmit Efraim, Joseph M. Francos. 4187-4195 [doi]
• Grassmannian Dimensionality Reduction for Optimized Universal Manifold Embedding Representation of 3D Point CloudsYuval Haitman, Joseph M. Francos, Louis L. Scharf. 4196-4204 [doi]
• Sheaves as a Framework for Understanding and Interpreting Model FitHenry Kvinge, Brett Jefferson, Cliff A. Joslyn, Emilie Purvine. 4205-4213 [doi]
• A Manifold Learning based Video Prediction approach for Deep Motion TransferYuliang Cai, Sumit Mohan, Adithya Niranjan, Nilesh Jain, Alex Cloninger, Srinjoy Das. 4214-4221 [doi]
• Multi-Dimensional Scaling on GroupsMark Blumstein, Henry Kvinge. 4222-4227 [doi]