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Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement


Jun 11, 2021
Zefan Li, Chenxi Liu, Alan Yuille, Bingbing Ni, Wenjun Zhang, Wen Gao

* Accepted by the IEEE conference on computer vision and pattern recognition. 2021 

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Simulated Adversarial Testing of Face Recognition Models


Jun 08, 2021
Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan Yuille, Stan Sclaroff


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Glance-and-Gaze Vision Transformer


Jun 04, 2021
Qihang Yu, Yingda Xia, Yutong Bai, Yongyi Lu, Alan Yuille, Wei Shen

* codes and models will be made available at https://github.com/yucornetto/GG-Transformer 

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Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning


Jun 01, 2021
Ju He, Adam Kortylewski, Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang, Alan Yuille


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Visual analogy: Deep learning versus compositional models


May 14, 2021
Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan Yuille, Hongjing Lu


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Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation


Apr 20, 2021
Yingda Xia, Dong Yang, Wenqi Li, Andriy Myronenko, Daguang Xu, Hirofumi Obinata, Hitoshi Mori, Peng An, Stephanie Harmon, Evrim Turkbey, Baris Turkbey, Bradford Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Anna Ierardi, Alan Yuille, Holger Roth


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Self-Supervised Pillar Motion Learning for Autonomous Driving


Apr 18, 2021
Chenxu Luo, Xiaodong Yang, Alan Yuille

* cvpr2021 

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A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation


Apr 15, 2021
Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan Yuille, Nuno Vasconcelos, Xiaolong Wang

* Our project page is available at: https://jitengmu.github.io/A-SDF/ 

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DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation


Mar 29, 2021
Junfei Xiao, Lequan Yu, Lei Xing, Alan Yuille, Yuyin Zhou

* code available at https://github.com/lambert-x/DualNorm-Unet 

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TransFG: A Transformer Architecture for Fine-grained Recognition


Mar 28, 2021
Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille

* Release official PyTorch implementation of the paper 

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CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models


Mar 25, 2021
Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li, Mengqi Guo, Qihao Liu, Xiaoding Yuan, Jiteng Mu, Weichao Qiu, Alan Yuille

* 18 pages, 10 figures 

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Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency


Mar 23, 2021
Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan Yuille, Zhenheng Yang

* 14 pages, 8 figures, accepted by CVPR 2021 

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Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping


Feb 22, 2021
Prakhar Kaushik, Alex Gain, Adam Kortylewski, Alan Yuille


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CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning


Feb 18, 2021
Chen Wei, Kihyuk Sohn, Clayton Mellina, Alan Yuille, Fan Yang


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Occluded Video Instance Segmentation


Feb 08, 2021
Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge Belongie, Alan Yuille, Philip H. S. Torr, Song Bai

* 10 pages, 11 figures 

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NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation


Feb 04, 2021
Angtian Wang, Adam Kortylewski, Alan Yuille

* Accepted by ICLR 2021. Code is publicly available 

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COMPAS: Representation Learning with Compositional Part Sharing for Few-Shot Classification


Jan 28, 2021
Ju He, Adam Kortylewski, Alan Yuille


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Meticulous Object Segmentation


Dec 13, 2020
Chenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Zhe Lin, Alan Yuille


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Mask Guided Matting via Progressive Refinement Network


Dec 12, 2020
Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, Alan Yuille


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ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation


Dec 09, 2020
Siyuan Qiao, Yukun Zhu, Hartwig Adam, Alan Yuille, Liang-Chieh Chen

* Video: https://youtu.be/XR4HFiwwao0 GitHub: https://github.com/joe-siyuan-qiao/ViP-DeepLab 

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Robust Instance Segmentation through Reasoning about Multi-Object Occlusion


Dec 03, 2020
Xiaoding Yuan, Adam Kortylewski, Yihong Sun, Alan Yuille


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MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers


Dec 01, 2020
Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan Yuille, Liang-Chieh Chen


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Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks


Dec 01, 2020
Christian Cosgrove, Adam Kortylewski, Chenglin Yang, Alan Yuille


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