Table of Contents

• A Deep Dive into Adversarial Robustness in Zero-Shot LearningMehmet Kerim Yucel, Ramazan Gokberk Cinbis, Pinar Duygulu. 3-21 [doi]
• Towards Analyzing Semantic Robustness of Deep Neural NetworksAbdullah Hamdi, Bernard Ghanem. 22-38 [doi]
• Likelihood Landscapes: A Unifying Principle Behind Many Adversarial DefensesFu Lin, Rohit Mittapalli, Prithvijit Chattopadhyay, Daniel Bolya, Judy Hoffman. 39-54 [doi]
• Deep k-NN Defense Against Clean-Label Data Poisoning AttacksNeehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson. 55-70 [doi]
• Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution SettingsJohn Mitros, Arjun Pakrashi, Brian Mac Namee. 71-87 [doi]
• Adversarial Shape Perturbations on 3D Point CloudsDaniel Liu, Ronald Yu, Hao Su 0001. 88-104 [doi]
• Jacks of All Trades, Masters of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch AttacksNeil Fendley, Max Lennon, I-Jeng Wang, Philippe Burlina, Nathan Drenkow. 105-119 [doi]
• Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map ComparisonLukas Brunke, Prateek Agrawal, Nikhil George. 120-134 [doi]
• Adversarial Robustness of Open-Set Recognition: Face Recognition and Person Re-identificationXiao Gong, Guosheng Hu, Timothy M. Hospedales, Yongxin Yang. 135-151 [doi]
• WaveTransform: Crafting Adversarial Examples via Input DecompositionDivyam Anshumaan, Akshay Agarwal 0001, Mayank Vatsa, Richa Singh 0001. 152-168 [doi]
• Robust Super-Resolution of Real Faces Using Smooth FeaturesSaurabh Goswami, Aakanksha, A. N. Rajagopalan. 169-185 [doi]
• Improved Robustness to Open Set Inputs via Tempered MixupRyne Roady, Tyler L. Hayes, Christopher Kanan. 186-201 [doi]
• Defenses Against Multi-sticker Physical Domain Attacks on ClassifiersXinwei Zhao, Matthew C. Stamm. 202-219 [doi]
• Adversarial Attack on Deepfake Detection Using RL Based Texture PatchesSteven Lawrence Fernandes, Sumit Kumar Jha 0001. 220-235 [doi]
• A Subpixel Residual U-Net and Feature Fusion Preprocessing for Retinal Vessel SegmentationSohom Dey. 239-250 [doi]
• Attention Deeplabv3+: Multi-level Context Attention Mechanism for Skin Lesion SegmentationReza Azad, Maryam Asadi-Aghbolaghi, Mahmood Fathy, Sergio Escalera. 251-266 [doi]
• Automated Assessment of the Curliness of Collagen Fiber in Breast CancerDavid Paredes, Prateek Prasanna, Christina Preece, Rajarsi Gupta, Farzad Fereidouni, Dimitris Samaras, Tahsin M. Kurç, Richard M. Levenson, Patricia Thompson-Carino, Joel H. Saltz, Chao Chen 0012. 267-279 [doi]
• Bionic Tracking: Using Eye Tracking to Track Biological Cells in Virtual RealityUlrik Günther, Kyle I. S. Harrington, Raimund Dachselt, Ivo F. Sbalzarini. 280-297 [doi]
• Cardiac MR Image Sequence Segmentation with Temporal Motion EncodingPengxiang Wu, Qiaoying Huang, Jingru Yi, Hui Qu, Meng Ye, Leon Axel, Dimitris N. Metaxas. 298-309 [doi]
• Classifying Nuclei Shape Heterogeneity in Breast Tumors with SkeletonsBrian Falkenstein, Adriana Kovashka, Seong Jae Hwang, S. Chakra Chennubhotla. 310-323 [doi]
• DenoiSeg: Joint Denoising and SegmentationTim-Oliver Buchholz, Mangal Prakash, Deborah Schmidt, Alexander Krull, Florian Jug. 324-337 [doi]
• DoubleU-Net: Colorectal Cancer Diagnosis and Gland Instance Segmentation with Text-Guided Feature ControlPei Wang, Albert C. S. Chung. 338-354 [doi]
• Dynamic Image for 3D MRI Image Alzheimer's Disease ClassificationXin-xing, Gongbo Liang, Hunter Blanton, Muhammad Usman Rafique, Chris Wang, Ai-Ling Lin, Nathan Jacobs. 355-364 [doi]
• Feedback Attention for Cell Image SegmentationHiroki Tsuda, Eisuke Shibuya, Kazuhiro Hotta. 365-379 [doi]
• Improving Blind Spot Denoising for MicroscopyAnna S. Goncharova, Alf Honigmann, Florian Jug, Alexander Krull. 380-393 [doi]
• Learning to Restore ssTEM Images from Deformation and CorruptionWei Huang, Chang Chen, Zhiwei Xiong, Yueyi Zhang, Dong Liu 0002, Feng Wu 0001. 394-410 [doi]
• Learning to Segment Microscopy Images with Lazy LabelsRihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schütz, Carola-Bibiane Schönlieb. 411-428 [doi]
• Multi-CryoGAN: Reconstruction of Continuous Conformations in Cryo-EM Using Generative Adversarial NetworksHarshit Gupta, Thong H. Phan, Jaejun Yoo, Michael Unser. 429-444 [doi]
• Probabilistic Deep Learning for Instance SegmentationJosef Lorenz Rumberger, Lisa Mais, Dagmar Kainmueller. 445-457 [doi]
• Registration of Multi-modal Volumetric Images by Establishing Cell CorrespondenceManan Lalit, Mette Handberg-Thorsager, Yu-Wen Hsieh, Florian Jug, Pavel Tomancak. 458-473 [doi]
• W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM MappingRuofan Zhou, Majed El Helou, Daniel Sage, Thierry Laroche, Arne Seitz, Sabine Süsstrunk. 474-491 [doi]
• An Investigation of Deep Visual Architectures Based on Preprocess Using the Retinal TransformÁlvaro Mendes Samagaio, Jan Paul Siebert. 495-510 [doi]
• Data Augmentation Techniques for the Video Question Answering TaskAlex Falcon, Oswald Lanz, Giuseppe Serra 0001. 511-525 [doi]
• Efficiency in Real-Time Webcam [inline-graphic not available: see fulltext] TrackingAmogh Gudi, Xin Li, Jan van Gemert. 529-543 [doi]
• Hierarchical HMM for Eye Movement ClassificationYe Zhu, Yan Yan, Oleg Komogortsev. 544-554 [doi]
• Domain Adaptation for Eye SegmentationYiru Shen, Oleg Komogortsev, Sachin S. Talathi. 555-569 [doi]
• EyeSeg: Fast and Efficient Few-Shot Semantic SegmentationJonathan Perry, Amanda Fernandez. 570-582 [doi]
• Class-Imbalanced Domain Adaptation: An Empirical OdysseyShuhan Tan, Xingchao Peng, Kate Saenko. 585-602 [doi]
• Sequential Learning for Domain GeneralizationDa Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales. 603-619 [doi]
• Generating Visual and Semantic Explanations with Multi-task NetworkWenjia Xu, Jiuniu Wang, Yang Wang 0056, Yirong Wu, Zeynep Akata. 620-635 [doi]
• SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object DetectionKeren Ye, Adriana Kovashka, Mark Sandler 0002, Menglong Zhu, Andrew G. Howard, Marco Fornoni. 636-640 [doi]
• Using Sentences as Semantic Representations in Large Scale Zero-Shot LearningYannick Le Cacheux, Hervé Le Borgne, Michel Crucianu. 641-645 [doi]
• Adversarial Transfer of Pose Estimation RegressionBoris Chidlovskii, Assem Sadek. 646-661 [doi]
• Disentangled Image Generation for Unsupervised Domain AdaptationSafa Cicek, Ning Xu, Zhaowen Wang, Hailin Jin, Stefano Soatto. 662-665 [doi]
• Domain Generalization Using Shape RepresentationNarges Honarvar Nazari, Adriana Kovashka. 666-670 [doi]
• Bi-Dimensional Feature Alignment for Cross-Domain Object DetectionZhen Zhao, Yuhong Guo, Jieping Ye. 671-686 [doi]
• Bayesian Zero-Shot LearningSarkhan Badirli, Zeynep Akata, Murat Dundar. 687-703 [doi]
• Self-Supervision for 3D Real-World ChallengesAntonio Alliegro, Davide Boscaini, Tatiana Tommasi. 704-708 [doi]
• Diversified Mutual Learning for Deep Metric LearningWonpyo Park, Wonjae Kim, Kihyun You, Minsu Cho. 709-725 [doi]
• Domain Generalization vs Data Augmentation: An Unbiased PerspectiveFrancesco Cappio Borlino, Antonio D'Innocente, Tatiana Tommasi. 726-730 [doi]
• Panel: Bodily Expressed Emotion Understanding Research: A Multidisciplinary PerspectiveJames Z. Wang, Norman Badler, Nadia Berthouze, Rick O. Gilmore, Kerri L. Johnson, Àgata Lapedriza, Xin Lu 0006, Nikolaus Troje. 733-746 [doi]
• Emotion Understanding in Videos Through Body, Context, and Visual-Semantic Embedding LossPanagiotis Paraskevas Filntisis, Niki Efthymiou, Gerasimos Potamianos, Petros Maragos. 747-755 [doi]
• Noisy Student Training Using Body Language Dataset Improves Facial Expression RecognitionVikas Kumar, Shivansh Rao, Li Yu. 756-773 [doi]
• Emotion Embedded Pose GenerationAmogh Subbakrishna Adishesha, Tianxiang Zhao. 774-787 [doi]
• Understanding Political Communication Styles in Televised Debates via Body MovementsZhiqi Kang, Christina Indudhara, Kaushik Mahorker, Erik P. Bucy, Jungseock Joo. 788-793 [doi]