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Zhiding Yu

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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

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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

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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

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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

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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

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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

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