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ORCID16th ECCV Workshops 2020: Glasgow, UK - Part I
- Adrien Bartoli, Andrea Fusiello:
Computer Vision - ECCV 2020 Workshops - Glasgow, UK, August 23-28, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12535, Springer 2020, ISBN 978-3-030-66414-5
W01 - Adversarial Robustness in the Real World
- Mehmet Kerim Yucel, Ramazan Gokberk Cinbis, Pinar Duygulu:
A Deep Dive into Adversarial Robustness in Zero-Shot Learning. 3-21 - Abdullah Hamdi
, Bernard Ghanem:
Towards Analyzing Semantic Robustness of Deep Neural Networks. 22-38 - Fu Lin, Rohit Mittapalli, Prithvijit Chattopadhyay, Daniel Bolya, Judy Hoffman:
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses. 39-54 - Neehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson:
Deep k-NN Defense Against Clean-Label Data Poisoning Attacks. 55-70 - John Mitros, Arjun Pakrashi, Brian Mac Namee:
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings. 71-87 - Daniel Liu, Ronald Yu, Hao Su:
Adversarial Shape Perturbations on 3D Point Clouds. 88-104 - Neil Fendley, Max Lennon, I-Jeng Wang, Philippe Burlina, Nathan Drenkow:
Jacks of All Trades, Masters of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks. 105-119 - Lukas Brunke, Prateek Agrawal, Nikhil George:
Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map Comparison. 120-134 - Xiao Gong, Guosheng Hu, Timothy M. Hospedales, Yongxin Yang:
Adversarial Robustness of Open-Set Recognition: Face Recognition and Person Re-identification. 135-151 - Divyam Anshumaan, Akshay Agarwal, Mayank Vatsa, Richa Singh:
WaveTransform: Crafting Adversarial Examples via Input Decomposition. 152-168 - Saurabh Goswami, Aakanksha, A. N. Rajagopalan:
Robust Super-Resolution of Real Faces Using Smooth Features. 169-185 - Ryne Roady, Tyler L. Hayes, Christopher Kanan:
Improved Robustness to Open Set Inputs via Tempered Mixup. 186-201 - Xinwei Zhao, Matthew C. Stamm:
Defenses Against Multi-sticker Physical Domain Attacks on Classifiers. 202-219 - Steven Lawrence Fernandes, Sumit Kumar Jha:
Adversarial Attack on Deepfake Detection Using RL Based Texture Patches. 220-235
W02 - BioImage Computation
- Sohom Dey:
A Subpixel Residual U-Net and Feature Fusion Preprocessing for Retinal Vessel Segmentation. 239-250 - Reza Azad, Maryam Asadi-Aghbolaghi, Mahmood Fathy, Sergio Escalera:
Attention Deeplabv3+: Multi-level Context Attention Mechanism for Skin Lesion Segmentation. 251-266 - David 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:
Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer. 267-279 - Ulrik Günther, Kyle I. S. Harrington, Raimund Dachselt, Ivo F. Sbalzarini:
Bionic Tracking: Using Eye Tracking to Track Biological Cells in Virtual Reality. 280-297 - Pengxiang Wu, Qiaoying Huang, Jingru Yi, Hui Qu, Meng Ye, Leon Axel, Dimitris N. Metaxas:
Cardiac MR Image Sequence Segmentation with Temporal Motion Encoding. 298-309 - Brian Falkenstein, Adriana Kovashka, Seong Jae Hwang, S. Chakra Chennubhotla:
Classifying Nuclei Shape Heterogeneity in Breast Tumors with Skeletons. 310-323 - Tim-Oliver Buchholz, Mangal Prakash, Deborah Schmidt, Alexander Krull, Florian Jug:
DenoiSeg: Joint Denoising and Segmentation. 324-337 - Pei Wang, Albert C. S. Chung:
DoubleU-Net: Colorectal Cancer Diagnosis and Gland Instance Segmentation with Text-Guided Feature Control. 338-354 - Xin Xing, Gongbo Liang, Hunter Blanton, Muhammad Usman Rafique, Chris Wang, Ai-Ling Lin, Nathan Jacobs:
Dynamic Image for 3D MRI Image Alzheimer's Disease Classification. 355-364 - Hiroki Tsuda, Eisuke Shibuya, Kazuhiro Hotta:
Feedback Attention for Cell Image Segmentation. 365-379 - Anna S. Goncharova, Alf Honigmann, Florian Jug, Alexander Krull:
Improving Blind Spot Denoising for Microscopy. 380-393 - Wei Huang, Chang Chen, Zhiwei Xiong, Yueyi Zhang, Dong Liu, Feng Wu:
Learning to Restore ssTEM Images from Deformation and Corruption. 394-410 - Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schütz, Carola-Bibiane Schönlieb:
Learning to Segment Microscopy Images with Lazy Labels. 411-428 - Harshit Gupta, Thong H. Phan, Jaejun Yoo, Michael Unser:
Multi-CryoGAN: Reconstruction of Continuous Conformations in Cryo-EM Using Generative Adversarial Networks. 429-444 - Josef Lorenz Rumberger, Lisa Mais, Dagmar Kainmueller:
Probabilistic Deep Learning for Instance Segmentation. 445-457 - Manan Lalit, Mette Handberg-Thorsager, Yu-Wen Hsieh, Florian Jug, Pavel Tomancak:
Registration of Multi-modal Volumetric Images by Establishing Cell Correspondence. 458-473 - Ruofan Zhou, Majed El Helou, Daniel Sage, Thierry Laroche, Arne Seitz, Sabine Süsstrunk:
W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM Mapping. 474-491
W03 - Egocentric Perception, Interaction, and Computing
- Álvaro Mendes Samagaio, Jan Paul Siebert:
An Investigation of Deep Visual Architectures Based on Preprocess Using the Retinal Transform. 495-510 - Alex Falcon, Oswald Lanz, Giuseppe Serra:
Data Augmentation Techniques for the Video Question Answering Task. 511-525
W05 - Eye Gaze in VR, AR, and in the Wild
- Amogh Gudi, Xin Li, Jan van Gemert:
Efficiency in Real-Time Webcam [inline-graphic not available: see fulltext] Tracking. 529-543 - Ye Zhu, Yan Yan, Oleg Komogortsev:
Hierarchical HMM for Eye Movement Classification. 544-554 - Yiru Shen, Oleg Komogortsev, Sachin S. Talathi:
Domain Adaptation for Eye Segmentation. 555-569 - Jonathan Perry, Amanda S. Fernandez:
EyeSeg: Fast and Efficient Few-Shot Semantic Segmentation. 570-582
W10 - TASK-CV Workshop and VisDA Challenge
- Shuhan Tan, Xingchao Peng, Kate Saenko:
Class-Imbalanced Domain Adaptation: An Empirical Odyssey. 585-602 - Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales:
Sequential Learning for Domain Generalization. 603-619 - Wenjia Xu, Jiuniu Wang, Yang Wang, Yirong Wu, Zeynep Akata:
Generating Visual and Semantic Explanations with Multi-task Network. 620-635 - Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew G. Howard, Marco Fornoni:
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. 636-640 - Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu:
Using Sentences as Semantic Representations in Large Scale Zero-Shot Learning. 641-645 - Boris Chidlovskii, Assem Sadek:
Adversarial Transfer of Pose Estimation Regression. 646-661 - Safa Cicek, Ning Xu, Zhaowen Wang, Hailin Jin, Stefano Soatto:
Disentangled Image Generation for Unsupervised Domain Adaptation. 662-665 - Narges Honarvar Nazari, Adriana Kovashka:
Domain Generalization Using Shape Representation. 666-670 - Zhen Zhao, Yuhong Guo, Jieping Ye:
Bi-Dimensional Feature Alignment for Cross-Domain Object Detection. 671-686 - Sarkhan Badirli, Zeynep Akata, Murat Dundar:
Bayesian Zero-Shot Learning. 687-703 - Antonio Alliegro, Davide Boscaini, Tatiana Tommasi:
Self-Supervision for 3D Real-World Challenges. 704-708 - Wonpyo Park, Wonjae Kim, Kihyun You, Minsu Cho:
Diversified Mutual Learning for Deep Metric Learning. 709-725 - Francesco Cappio Borlino, Antonio D'Innocente, Tatiana Tommasi:
Domain Generalization vs Data Augmentation: An Unbiased Perspective. 726-730
W11 - Bodily Expressed Emotion Understanding
- James Z. Wang, Norman I. Badler, Nadia Berthouze, Rick O. Gilmore, Kerri L. Johnson, Àgata Lapedriza, Xin Lu, Nikolaus F. Troje:
Panel: Bodily Expressed Emotion Understanding Research: A Multidisciplinary Perspective. 733-746 - Panagiotis Paraskevas Filntisis, Niki Efthymiou, Gerasimos Potamianos, Petros Maragos:
Emotion Understanding in Videos Through Body, Context, and Visual-Semantic Embedding Loss. 747-755 - Vikas Kumar, Shivansh Rao, Li Yu:
Noisy Student Training Using Body Language Dataset Improves Facial Expression Recognition. 756-773 - Amogh Subbakrishna Adishesha, Tianxiang Zhao:
Emotion Embedded Pose Generation. 774-787 - Zhiqi Kang, Christina Indudhara, Kaushik Mahorker, Erik P. Bucy, Jungseock Joo:
Understanding Political Communication Styles in Televised Debates via Body Movements. 788-793
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