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Poster
Wed 1:00 Explainable Deep One-Class Classification
Philipp Liznerski · Lukas Ruff · Robert A Vandermeulen · Billy J Franks · Marius Kloft · Klaus R Muller
Poster
Wed 17:00 PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection
wu xiongwei · Doyen Sahoo · Steven HOI
Poster
Tue 17:00 On Graph Neural Networks versus Graph-Augmented MLPs
Lei Chen · Zhengdao Chen · Joan Bruna
Poster
Mon 9:00 Conditional Negative Sampling for Contrastive Learning of Visual Representations
Mike Wu · Milan Mosse · Chengxu Zhuang · Daniel Yamins · Noah Goodman
Poster
Tue 1:00 Multiscale Score Matching for Out-of-Distribution Detection
Ahsan Mahmood · Junier Oliva · Martin A Styner
Poster
Thu 1:00 Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu · Weijie Su · Lewei Lu · Bin Li · Xiaogang Wang · Jifeng Dai
Poster
Wed 9:00 Provably robust classification of adversarial examples with detection
Fatemeh Sheikholeslami · Ali Lotfi · Zico Kolter
Poster
Mon 17:00 Robust Curriculum Learning: from clean label detection to noisy label self-correction
Tianyi Zhou · Shengjie Wang · Jeff Bilmes
Poster
Wed 1:00 Differentiable Segmentation of Sequences
Erik Scharwächter · Jonathan Lennartz · Emmanuel Müller
Poster
Thu 1:00 Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search
Peidong Liu · Gengwei Zhang · Bochao Wang · Hang Xu · Xiaodan Liang · Yong Jiang · Zhenguo Li
Poster
Wed 17:00 Effective and Efficient Vote Attack on Capsule Networks
Jindong Gu · Baoyuan Wu · Volker Tresp
Oral
Wed 19:55 Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu · Weijie Su · Lewei Lu · Bin Li · Xiaogang Wang · Jifeng Dai