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Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits

Feb 21, 2021
Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia

* Accepted by ICLR 2021 

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Effective and Efficient Vote Attack on Capsule Networks

Feb 19, 2021
Jindong Gu, Baoyuan Wu, Volker Tresp

* International Conference on Learning Representations (ICLR), 2021 

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TediGAN: Text-Guided Diverse Image Generation and Manipulation

Dec 06, 2020
Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu

* Code: https://github.com/weihaox/TediGAN; Data: https://github.com/weihaox/Multi-Modal-CelebA-HQ; Video: https://youtu.be/L8Na2f5viAM 

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Dual ResGCN for Balanced Scene GraphGeneration

Nov 09, 2020
Jingyi Zhang, Yong Zhang, Baoyuan Wu, Yanbo Fan, Fumin Shen, Heng Tao Shen


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Pixel-wise Dense Detector for Image Inpainting

Nov 04, 2020
Ruisong Zhang, Weize Quan, Baoyuan Wu, Zhifeng Li, Dong-Ming Yan

* 12 pages, 9 figures, accepted by Computer Graphics Forum 

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Backdoor Attack against Speaker Verification

Oct 25, 2020
Tongqing Zhai, Yiming Li, Ziqi Zhang, Baoyuan Wu, Yong Jiang, Shu-Tao Xia

* The first two authors contributed equally to this work. 5 pages 

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Teacher-Student Competition for Unsupervised Domain Adaptation

Oct 20, 2020
Ruixin Xiao, Zhilei Liu, Baoyuan Wu

* Accepted by ICPR 2020 

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Teacher-Student Competition for Unsupervised Domain Adaption

Oct 19, 2020
Ruixin Xiao, Zhilei Liu, Baoyuan Wu

* Accepted by ICPR 2020 

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Open-sourced Dataset Protection via Backdoor Watermarking

Oct 12, 2020
Yiming Li, Ziqi Zhang, Jiawang Bai, Baoyuan Wu, Yong Jiang, Shu-Tao Xia

* 6 pages 

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Backdoor Learning: A Survey

Aug 21, 2020
Yiming Li, Baoyuan Wu, Yong Jiang, Zhifeng Li, Shu-Tao Xia

* 11 pages. A curated list of backdoor learning resources in this paper is presented in the Github Repo (https://github.com/THUYimingLi/backdoor-learning-resources). We will try our best to continuously maintain the repo 

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SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning

Aug 16, 2020
Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu


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Efficient Black-Box Adversarial Attack Guided by the Distribution of Adversarial Perturbations

Jun 15, 2020
Yan Feng, Baoyuan Wu, Yanbo Fan, Zhifeng Li, Shutao Xia


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Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients

May 12, 2020
Chengcheng Ma, Baoyuan Wu, Shibiao Xu, Yanbo Fan, Yong Zhang, Xiaopeng Zhang, Zhifeng Li


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Rethinking the Trigger of Backdoor Attack

Apr 09, 2020
Yiming Li, Tongqing Zhai, Baoyuan Wu, Yong Jiang, Zhifeng Li, Shutao Xia

* 13 pages 

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Toward Adversarial Robustness via Semi-supervised Robust Training

Mar 16, 2020
Yiming Li, Baoyuan Wu, Yan Feng, Yanbo Fan, Yong Jiang, Zhifeng Li, Shutao Xia

* 15 pages 

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Joint Face Completion and Super-resolution using Multi-scale Feature Relation Learning

Feb 29, 2020
Zhilei Liu, Yunpeng Wu, Le Li, Cuicui Zhang, Baoyuan Wu


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Controllable Descendant Face Synthesis

Feb 26, 2020
Yong Zhang, Le Li, Zhilei Liu, Baoyuan Wu, Yanbo Fan, Zhifeng Li

* 10 pages, 9 figures 

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Constrained K-means with General Pairwise and Cardinality Constraints

Jul 24, 2019
Adel Bibi, Baoyuan Wu, Bernard Ghanem


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Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations

Jun 21, 2019
Yuezun Li, Xin Yang, Baoyuan Wu, Siwei Lyu


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Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables

May 10, 2019
Yan Xu, Baoyuan Wu, Fumin Shen, Yanbo Fan, Yong Zhang, Heng Tao Shen, Wei Liu

* Accepted to CVPR 2019. Yan Xu and Baoyuan Wu are co-first authors 

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MAP Inference via L2-Sphere Linear Program Reformulation

May 09, 2019
Baoyuan Wu, Li Shen, Bernard Ghanem, Tong Zhang


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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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Target-Aware Deep Tracking

Apr 03, 2019
Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang

* To appear in CVPR 2019 

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Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning

Jan 08, 2019
Baoyuan Wu, Weidong Chen, Yanbo Fan, Yong Zhang, Jinlong Hou, Jie Liu, Junzhou Huang, Wei Liu, Tong Zhang


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Learning to Compose Dynamic Tree Structures for Visual Contexts

Dec 05, 2018
Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu


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Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance

Nov 04, 2018
Zechun Liu, Wenhan Luo, Baoyuan Wu, Xin Yang, Wei Liu, Kwang-Ting Cheng

* Submitted to IJCV. It is the journal extension of our ECCV paper: arXiv:1808.00278 

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Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm

Sep 29, 2018
Zechun Liu, Baoyuan Wu, Wenhan Luo, Xin Yang, Wei Liu, Kwang-Ting Cheng

* Accepted to European Conference on Computer Vision (ECCV) 2018. Code is available on: https://github.com/liuzechun/Bi-Real-net 

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Multi-label Learning with Missing Labels using Mixed Dependency Graphs

Mar 31, 2018
Baoyuan Wu, Fan Jia, Wei Liu, Bernard Ghanem, Siwei Lyu

* Published in International Journal of Computer Vision, 2018 

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