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AugMax: Adversarial Composition of Random Augmentations for Robust Training


Oct 26, 2021
Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang

* NeurIPS, 2021 

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Learning Contrastive Representation for Semantic Correspondence


Sep 22, 2021
Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang


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Panoptic SegFormer


Sep 11, 2021
Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Tong Lu, Ping Luo

* Technical Report 

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Towards Reducing Labeling Cost in Deep Object Detection


Jun 22, 2021
Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixe, Jose M. Alvarez

* Includes supplementary material 

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SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies


Jun 17, 2021
Linxi Fan, Guanzhi Wang, De-An Huang, Zhiding Yu, Li Fei-Fei, Yuke Zhu, Anima Anandkumar

* ICML 2021. Website: https://linxifan.github.io/secant-site/ 

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Practical Machine Learning Safety: A Survey and Primer


Jun 09, 2021
Sina Mohseni, Haotao Wang, Zhiding Yu, Chaowei Xiao, Zhangyang Wang, Jay Yadawa


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DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision


Jun 05, 2021
Shiyi Lan, Zhiding Yu, Christopher Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry S. Davis, Anima Anandkumar

* Tech Report 

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SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers


Jun 05, 2021
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Ping Luo

* Tech Report 

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Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection


Apr 12, 2021
Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Anima Anandkumar, Sanja Fidler, Jose M. Alvarez


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Contrastive Syn-to-Real Generalization


Apr 06, 2021
Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jose M. Alvarez, Zhangyang Wang, Anima Anandkumar

* Accepted in ICLR 2021 

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UFO$^2$: A Unified Framework towards Omni-supervised Object Detection


Oct 21, 2020
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz

* ECCV 2020 

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Distributionally Robust Learning for Unsupervised Domain Adaptation


Oct 08, 2020
Haoxuan Wang, Anqi Liu, Zhiding Yu, Yisong Yue, Anima Anandkumar

* Preprint 

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Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning


Oct 02, 2020
Weili Nie, Zhiding Yu, Lei Mao, Ankit B. Patel, Yuke Zhu, Animashree Anandkumar

* 21 pages, NeurIPS 2020 

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Delving Deeper into Anti-aliasing in ConvNets


Aug 21, 2020
Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yong Jae Lee

* [Accepted in BMVC2020] code: https://maureenzou.github.io/ddac/ 

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Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification


Jul 20, 2020
Yang Zou, Xiaodong Yang, Zhiding Yu, B. V. K. Vijaya Kumar, Jan Kautz

* ECCV 2020 (Oral) 

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Unsupervised Controllable Generation with Self-Training


Jul 17, 2020
Grigorios G Chrysos, Jean Kossaifi, Zhiding Yu, Anima Anandkumar


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Neural Networks with Recurrent Generative Feedback


Jul 17, 2020
Yujia Huang, James Gornet, Sihui Dai, Zhiding Yu, Tan Nguyen, Doris Y. Tsao, Anima Anandkumar


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Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter


Jul 14, 2020
Guilin Liu, Rohan Taori, Ting-Chun Wang, Zhiding Yu, Shiqiu Liu, Fitsum A. Reda, Karan Sapra, Andrew Tao, Bryan Catanzaro


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Automated Synthetic-to-Real Generalization


Jul 14, 2020
Wuyang Chen, Zhiding Yu, Zhangyang Wang, Anima Anandkumar

* Accepted to ICML 2020 

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Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation


Jun 28, 2020
Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan Yuille, Holger Roth

* Medical Image Analysis, 2020 
* 19 pages, 6 figures, to appear in Medical Image Analysis. This article is an extension of the conference paper arXiv:1811.12506 

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Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection


Apr 09, 2020
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz

* Accepted to CVPR 2020 

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Angular Visual Hardness


Jan 04, 2020
Beidi Chen, Weiyang Liu, Animesh Garg, Zhiding Yu, Anshumali Shrivastava, Jan Kautz, Anima Anandkumar

* Tech Report (24 pages) 

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Confidence Regularized Self-Training


Aug 27, 2019
Yang Zou, Zhiding Yu, Xiaofeng Liu, B. V. K. Vijaya Kumar, Jinsong Wang

* Accepted to ICCV 2019 (Oral) 

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Compressive Hyperspherical Energy Minimization


Jun 12, 2019
Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song


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Joint Discriminative and Generative Learning for Person Re-identification


May 22, 2019
Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang, Jan Kautz

* CVPR 2019 (Oral) 

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