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Robust Unsupervised Small Area Change Detection from SAR Imagery Using Deep Learning

Nov 22, 2020
Xinzheng Zhang, Hang Su, Ce Zhang, Xiaowei Gu, Xiaoheng Tan, Peter M. Atkinson


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Alignment Restricted Streaming Recurrent Neural Network Transducer

Nov 05, 2020
Jay Mahadeokar, Yuan Shangguan, Duc Le, Gil Keren, Hang Su, Thong Le, Ching-Feng Yeh, Christian Fuegen, Michael L. Seltzer

* Accepted for presentation at IEEE Spoken Language Technology Workshop (SLT) 2021 

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Bi-level Score Matching for Learning Energy-based Latent Variable Models

Oct 16, 2020
Fan Bao, Chongxuan Li, Kun Xu, Hang Su, Jun Zhu, Bo Zhang


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Bag of Tricks for Adversarial Training

Oct 01, 2020
Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu


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Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters

Jul 16, 2020
Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang

* 14pages (except appendix and reference), 9 figures, 3 tables 

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Delving into the Adversarial Robustness on Face Recognition

Jul 08, 2020
Xiao Yang, Dingcheng Yang, Yinpeng Dong, Wenjian Yu, Hang Su, Jun Zhu


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Towards Privacy Protection by Generating Adversarial Identity Masks

Mar 15, 2020
Xiao Yang, Yinpeng Dong, Tianyu Pang, Jun Zhu, Hang Su

* 19 pages 

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Triple Memory Networks: a Brain-Inspired Method for Continual Learning

Mar 06, 2020
Liyuan Wang, Bo Lei, Qian Li, Hang Su, Jun Zhu, Yi Zhong

* 12 pages, 3 figures 

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A Robust Imbalanced SAR Image Change Detection Approach Based on Deep Difference Image and PCANet

Mar 03, 2020
Xinzheng Zhang, Hang Su, Ce Zhang, Peter M. Atkinson, Xiaoheng Tan, Xiaoping Zeng, Xin Jian

* 5 pages, 4 figures 

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Performance Analysis and Optimization in Privacy-Preserving Federated Learning

Feb 29, 2020
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor


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Boosting Adversarial Training with Hypersphere Embedding

Feb 20, 2020
Tianyu Pang, Xiao Yang, Yinpeng Dong, Kun Xu, Hang Su, Jun Zhu


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Adversarial Distributional Training for Robust Deep Learning

Feb 14, 2020
Zhijie Deng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu


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OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples

Feb 08, 2020
Changjian Chen, Jun Yuan, Yafeng Lu, Yang Liu, Hang Su, Songtao Yuan, Shixia Liu

* 14 pages, 13 figures 

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Analyzing the Noise Robustness of Deep Neural Networks

Jan 26, 2020
Kelei Cao, Mengchen Liu, Hang Su, Jing Wu, Jun Zhu, Shixia Liu


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Benchmarking Adversarial Robustness

Dec 26, 2019
Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu


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Biometric Recognition Using Deep Learning: A Survey

Nov 30, 2019
Shervin Minaee, Amirali Abdolrashidi, Hang Su, Mohammed Bennamoun, David Zhang

* Under Review 

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Interpretable Disentanglement of Neural Networks by Extracting Class-Specific Subnetwork

Oct 07, 2019
Yulong Wang, Xiaolin Hu, Hang Su

* Accepted to 2019 ICCV Workshop on Interpreting and Explaining Visual Artificial Intelligence Models 

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Pruning from Scratch

Sep 27, 2019
Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu

* 12 pages, 9 figures 

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Neuromorphic Visual Odometry System for Intelligent Vehicle Application with Bio-inspired Vision Sensor

Sep 05, 2019
Dekai Zhu, Jinhu Dong, Zhongcong Xu, Canbo Ye, Yinbai Hu, Hang Su, Zhengfa Liu, Guang Chen

* 8 pages, 14 figures 

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Improving Black-box Adversarial Attacks with a Transfer-based Prior

Jun 17, 2019
Shuyu Cheng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu


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Boosting Generative Models by Leveraging Cascaded Meta-Models

May 11, 2019
Fan Bao, Hang Su, Jun Zhu


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Pixel-Adaptive Convolutional Neural Networks

Apr 10, 2019
Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik Learned-Miller, Jan Kautz

* CVPR 2019. Video introduction: https://youtu.be/gsQZbHuR64o 

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Efficient Decision-based Black-box Adversarial Attacks on Face Recognition

Apr 09, 2019
Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu

* CVPR 2019 

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Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks

Apr 05, 2019
Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu

* CVPR 2019 (Oral) 

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Reward Shaping via Meta-Learning

Jan 27, 2019
Haosheng Zou, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu

* first two authors contributed equally 

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Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples

Jan 25, 2019
Yinpeng Dong, Fan Bao, Hang Su, Jun Zhu

* In AAAI-19 Workshop on Network Interpretability for Deep Learning 

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Open Logo Detection Challenge

Sep 27, 2018
Hang Su, Xiatian Zhu, Shaogang Gong

* Accepted by BMVC 2018. The QMUL-OpenLogo benchmark is publicly available at: qmul-openlogo.github.io 

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Deep Structured Generative Models

Jul 10, 2018
Kun Xu, Haoyu Liang, Jun Zhu, Hang Su, Bo Zhang


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Experiments on Parallel Training of Deep Neural Network using Model Averaging

Jul 01, 2018
Hang Su, Haoyu Chen


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