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Discriminative Triad Matching and Reconstruction for Weakly Referring Expression Grounding

Jun 08, 2021
Mingjie Sun, Jimin Xiao, Eng Gee Lim, Si Liu, John Y. Goulermas


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Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning

Mar 09, 2021
Mingjie Sun, Jimin Xiao, Eng Gee Lim

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Extreme Value Preserving Networks

Nov 17, 2020
Mingjie Sun, Jianguo Li, Changshui Zhang

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Poisoned classifiers are not only backdoored, they are fundamentally broken

Oct 18, 2020
Mingjie Sun, Siddhant Agarwal, J. Zico Kolter

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Fast Template Matching and Update for Video Object Tracking and Segmentation

Apr 16, 2020
Mingjie Sun, Jimin Xiao, Eng Gee Lim, Bingfeng Zhang, Yao Zhao

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Black-box Smoothing: A Provable Defense for Pretrained Classifiers

Mar 04, 2020
Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter

* 8 pages main text; 26 pages total 

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Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach

Nov 19, 2019
Bingfeng Zhang, Jimin Xiao, Yunchao Wei, Mingjie Sun, Kaizhu Huang

* AAAI 2020 

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Progressive Sample Mining and Representation Learning for One-Shot Person Re-identification with Adversarial Samples

Nov 02, 2019
Hui Li, Jimin Xiao, Mingjie Sun, Eng Gee Lim, Yao Zhao

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Adaptive ROI Generation for Video Object Segmentation Using Reinforcement Learning

Sep 27, 2019
Mingjie Sun, Jimin Xiao, Eng Gee Lim, Yanchu Xie, Jiashi Feng

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Characterizing Attacks on Deep Reinforcement Learning

Jul 24, 2019
Chaowei Xiao, Xinlei Pan, Warren He, Jian Peng, Mingjie Sun, Jinfeng Yi, Mingyan Liu, Bo Li, Dawn Song

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Data Poisoning Attack against Unsupervised Node Embedding Methods

Nov 01, 2018
Mingjie Sun, Jian Tang, Huichen Li, Bo Li, Chaowei Xiao, Yao Chen, Dawn Song

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Rethinking the Value of Network Pruning

Oct 11, 2018
Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, Trevor Darrell

* Submitted to ICLR 2019 

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