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吴保元
Person information
- unicode name: 吴保元
- affiliation: Chinese University of Hong Kong, School of Data Science, Shenzhen,China
- affiliation (PhD 2014): Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
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Journal Articles
- 2024
[j29]Fei Yin
, Yong Zhang, Baoyuan Wu, Yan Feng, Jingyi Zhang, Yanbo Fan, Yujiu Yang:
Generalizable Black-Box Adversarial Attack With Meta Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1804-1818 (2024)- [j28]Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
Improving Fast Adversarial Training With Prior-Guided Knowledge. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6367-6383 (2024) - [j27]Weiwei Feng, Nanqing Xu, Tianzhu Zhang, Baoyuan Wu, Yongdong Zhang:
Robust and Generalized Physical Adversarial Attacks via Meta-GAN. IEEE Trans. Inf. Forensics Secur. 19: 1112-1125 (2024) - [j26]Kuofeng Gao, Jiawang Bai, Baoyuan Wu, Mengxi Ya, Shu-Tao Xia:
Imperceptible and Robust Backdoor Attack in 3D Point Cloud. IEEE Trans. Inf. Forensics Secur. 19: 1267-1282 (2024) - [j25]Guanghao Li, Wansen Wu, Yan Sun, Li Shen, Baoyuan Wu, Dacheng Tao:
Visual Prompt Based Personalized Federated Learning. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j24]Chengcheng Ma, Baoyuan Wu, Yanbo Fan, Yong Zhang, Zhifeng Li:
Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients. Mach. Intell. Res. 20(5): 666-682 (2023) - [j23]Jiawang Bai, Baoyuan Wu, Zhifeng Li, Shu-Tao Xia:
Versatile Weight Attack via Flipping Limited Bits. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13653-13665 (2023) - [j22]Xin Zheng, Yanbo Fan, Baoyuan Wu, Yong Zhang, Jue Wang, Shirui Pan:
Robust Physical-World Attacks on Face Recognition. Pattern Recognit. 133: 109009 (2023) - [j21]Ziyi Cheng, Baoyuan Wu, Zhenya Zhang, Jianjun Zhao:
TAT: Targeted backdoor attacks against visual object tracking. Pattern Recognit. 142: 109629 (2023) - 2022
- [j20]Yiming Li, Baoyuan Wu, Yan Feng, Yanbo Fan, Yong Jiang, Zhifeng Li, Shu-Tao Xia:
Semi-supervised robust training with generalized perturbed neighborhood. Pattern Recognit. 124: 108472 (2022) - [j19]Xiaojun Jia, Yong Zhang, Baoyuan Wu, Jue Wang, Xiaochun Cao:
Boosting Fast Adversarial Training With Learnable Adversarial Initialization. IEEE Trans. Image Process. 31: 4417-4430 (2022) - [j18]Yifan Xu, Kekai Sheng, Weiming Dong, Baoyuan Wu, Changsheng Xu, Bao-Gang Hu:
Towards Corruption-Agnostic Robust Domain Adaptation. ACM Trans. Multim. Comput. Commun. Appl. 18(4): 99:1-99:16 (2022) - 2021
- [j17]Mengke Yuan, Bernard Ghanem, Dong-Ming Yan, Baoyuan Wu, Xiaopeng Zhang, Peter Wonka:
Customized Summarizations of Visual Data Collections. Comput. Graph. Forum 40(6): 347-370 (2021) - 2020
- [j16]Yanbo Fan, Baoyuan Wu, Ran He, Bao-Gang Hu, Yong Zhang, Siwei Lyu:
Groupwise Ranking Loss for Multi-Label Learning. IEEE Access 8: 21717-21727 (2020) - [j15]Rui-Song Zhang, Weize Quan, Baoyuan Wu, Zhifeng Li, Dong-Ming Yan:
Pixel-wise Dense Detector for Image Inpainting. Comput. Graph. Forum 39(7): 471-482 (2020) - [j14]Zechun Liu, Wenhan Luo, Baoyuan Wu, Xin Yang, Wei Liu, Kwang-Ting Cheng:
Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance. Int. J. Comput. Vis. 128(1): 202-219 (2020) - [j13]Baoyuan Wu, Li Shen, Tong Zhang, Bernard Ghanem:
MAP Inference Via ℓ 2-Sphere Linear Program Reformulation. Int. J. Comput. Vis. 128(7): 1913-1936 (2020) - [j12]Yuyang Zhang, Shibiao Xu, Baoyuan Wu, Jian Shi, Weiliang Meng, Xiaopeng Zhang:
Unsupervised Multi-View Constrained Convolutional Network for Accurate Depth Estimation. IEEE Trans. Image Process. 29: 7019-7031 (2020) - 2019
- [j11]Baoyuan Wu, Weidong Chen, Yanbo Fan, Yong Zhang, Jinlong Hou, Jie Liu, Tong Zhang:
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning. IEEE Access 7: 172683-172693 (2019) - [j10]Yongqiang Li, Baoyuan Wu, Yongping Zhao, Hongxun Yao, Qiang Ji:
Handling missing labels and class imbalance challenges simultaneously for facial action unit recognition. Multim. Tools Appl. 78(14): 20309-20332 (2019) - [j9]Baoyuan Wu, Bernard Ghanem:
ℓpℓp-Box ADMM: A Versatile Framework for Integer Programming. IEEE Trans. Pattern Anal. Mach. Intell. 41(7): 1695-1708 (2019) - 2018
- [j8]Baoyuan Wu, Fan Jia, Wei Liu, Bernard Ghanem, Siwei Lyu:
Multi-label Learning with Missing Labels Using Mixed Dependency Graphs. Int. J. Comput. Vis. 126(8): 875-896 (2018) - [j7]Shibiao Xu, Xingjia Pan, Er Li, Baoyuan Wu, Shuhui Bu, Weiming Dong, Shiming Xiang, Xiaopeng Zhang:
Automatic Building Rooftop Extraction From Aerial Images via Hierarchical RGB-D Priors. IEEE Trans. Geosci. Remote. Sens. 56(12): 7369-7387 (2018) - 2017
- [j6]Baoyuan Wu, Bao-Gang Hu, Qiang Ji:
A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos. Pattern Recognit. 64: 361-373 (2017) - 2016
- [j5]Yongqiang Li, Baoyuan Wu, Bernard Ghanem, Yongping Zhao, Hongxun Yao, Qiang Ji:
Facial action unit recognition under incomplete data based on multi-label learning with missing labels. Pattern Recognit. 60: 890-900 (2016) - [j4]Yifan Zhang, Zhiqiang Tang, Baoyuan Wu, Qiang Ji, Hanqing Lu:
A Coupled Hidden Conditional Random Field Model for Simultaneous Face Clustering and Naming in Videos. IEEE Trans. Image Process. 25(12): 5780-5792 (2016) - 2015
- [j3]Baoyuan Wu, Siwei Lyu, Bao-Gang Hu, Qiang Ji:
Multi-label learning with missing labels for image annotation and facial action unit recognition. Pattern Recognit. 48(7): 2279-2289 (2015) - 2014
- [j2]Baoyuan Wu, Qingquan Yan, Jianfei Luo, ZhongCheng Wu:
Signal Processing and Application of Six-axis Force/Torque Sensor Integrated in Humanoid Robot Foot. J. Signal Process. Syst. 74(2): 263-271 (2014) - 2012
- [j1]Baoyuan Wu, Fei Shen, Yang Ren, Jianfei Luo, ZhongCheng Wu:
Development of an Integrated Perceptual foot System for Humanoid Robots. Int. J. Robotics Autom. 27(2) (2012)
Conference and Workshop Papers
- 2024
- [c67]Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, Baoyuan Wu:
Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning. AAAI 2024: 20185-20193 - [c66]Zhiyuan Yan, Yuhao Luo, Siwei Lyu, Qingshan Liu, Baoyuan Wu:
Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection. CVPR 2024: 8984-8994 - [c65]Yingqi Liu, Yifan Shi, Baoyuan Wu, Qinglun Li, Xueqian Wang, Li Shen:
Decentralized Directed Collaboration for Personalized Federated Learning. CVPR 2024: 23168-23178 - [c64]Siyuan Liang, Mingli Zhu, Aishan Liu, Baoyuan Wu, Xiaochun Cao, Ee-Chien Chang:
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning. CVPR 2024: 24645-24654 - [c63]Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu:
VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models. ICLR 2024 - 2023
- [c62]Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan:
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks. CVPR 2023: 14561-14571 - [c61]Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu:
Enhancing Fine-Tuning based Backdoor Defense with Sharpness-Aware Minimization. ICCV 2023: 4443-4454 - [c60]Yaopei Zeng, Lei Liu, Li Liu, Li Shen, Shaoguo Liu, Baoyuan Wu:
Global Balanced Experts for Federated Long-Tailed Learning. ICCV 2023: 4792-4802 - [c59]Yuan Gong, Yong Zhang, Xiaodong Cun, Fei Yin, Yanbo Fan, Xuan Wang, Baoyuan Wu, Yujiu Yang:
ToonTalker: Cross-Domain Face Reenactment. ICCV 2023: 7656-7666 - [c58]Zhiyuan Yan, Yong Zhang, Yanbo Fan, Baoyuan Wu:
UCF: Uncovering Common Features for Generalizable Deepfake Detection. ICCV 2023: 22355-22366 - [c57]Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao:
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. ICML 2023: 13610-13627 - [c56]Zhiyuan Yan, Yong Zhang, Xinhang Yuan, Siwei Lyu, Baoyuan Wu:
DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection. NeurIPS 2023 - [c55]Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu:
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples. NeurIPS 2023 - [c54]Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu:
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. NeurIPS 2023 - [c53]Wangbo Yu, Yanbo Fan, Yong Zhang, Xuan Wang, Fei Yin, Yunpeng Bai, Yan-Pei Cao, Ying Shan, Yang Wu, Zhongqian Sun, Baoyuan Wu:
NOFA: NeRF-based One-shot Facial Avatar Reconstruction. SIGGRAPH (Conference Paper Track) 2023: 85:1-85:12 - 2022
- [c52]Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
LAS-AT: Adversarial Training with Learnable Attack Strategy. CVPR 2022: 13388-13398 - [c51]Yan Feng, Baoyuan Wu, Yanbo Fan, Li Liu, Zhifeng Li, Shu-Tao Xia:
Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution. CVPR 2022: 15074-15083 - [c50]Fei Yin, Yong Zhang, Xiaodong Cun, Mingdeng Cao, Yanbo Fan, Xuan Wang, Qingyan Bai, Baoyuan Wu, Jue Wang, Yujiu Yang:
StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN. ECCV (17) 2022: 85-101 - [c49]Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
Prior-Guided Adversarial Initialization for Fast Adversarial Training. ECCV (4) 2022: 567-584 - [c48]Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li, Baoyuan Wu, Xiaochun Cao:
A Large-Scale Multiple-objective Method for Black-box Attack Against Object Detection. ECCV (4) 2022: 619-636 - [c47]Jiahao Wang, Mingdeng Cao, Shuwei Shi, Baoyuan Wu, Yujiu Yang:
Attention Probe: Vision Transformer Distillation in the Wild. ICASSP 2022: 2220-2224 - [c46]Kunzhe Huang, Yiming Li, Baoyuan Wu, Zhan Qin, Kui Ren:
Backdoor Defense via Decoupling the Training Process. ICLR 2022 - [c45]Weixin Chen, Baoyuan Wu, Haoqian Wang:
Effective Backdoor Defense by Exploiting Sensitivity of Poisoned Samples. NeurIPS 2022 - [c44]Zeyu Qin, Yanbo Fan, Yi Liu, Li Shen, Yong Zhang, Jue Wang, Baoyuan Wu:
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation. NeurIPS 2022 - [c43]Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen:
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. NeurIPS 2022 - 2021
- [c42]Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu:
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation. CVPR 2021: 2256-2265 - [c41]Gengcong Yang, Jingyi Zhang, Yong Zhang, Baoyuan Wu, Yujiu Yang:
Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation. CVPR 2021: 12527-12536 - [c40]Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu:
Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing. CVPR 2021: 16357-16366 - [c39]Tongqing Zhai, Yiming Li, Ziqi Zhang, Baoyuan Wu, Yong Jiang, Shu-Tao Xia:
Backdoor Attack Against Speaker Verification. ICASSP 2021: 2560-2564 - [c38]Siyuan Liang, Baoyuan Wu, Yanbo Fan, Xingxing Wei, Xiaochun Cao:
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection. ICCV 2021: 7677-7687 - [c37]Weiwei Feng, Baoyuan Wu, Tianzhu Zhang, Yong Zhang, Yongdong Zhang:
Meta-Attack: Class-agnostic and Model-agnostic Physical Adversarial Attack. ICCV 2021: 7767-7776 - [c36]Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu:
Invisible Backdoor Attack with Sample-Specific Triggers. ICCV 2021: 16443-16452 - [c35]Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia:
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits. ICLR 2021 - [c34]Jindong Gu, Baoyuan Wu, Volker Tresp:
Effective and Efficient Vote Attack on Capsule Networks. ICLR 2021 - [c33]Chengcheng Ma, Weiliang Meng, Baoyuan Wu, Shibiao Xu, Xiaopeng Zhang:
Towards Effective Adversarial Attack Against 3D Point Cloud Classification. ICME 2021: 1-6 - [c32]Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu:
Random Noise Defense Against Query-Based Black-Box Attacks. NeurIPS 2021: 7650-7663 - 2020
- [c31]Yanbo Fan, Baoyuan Wu, Tuanhui Li, Yong Zhang, Mingyang Li, Zhifeng Li, Yujiu Yang:
Sparse Adversarial Attack via Perturbation Factorization. ECCV (22) 2020: 35-50 - [c30]Weilun Chen, Zhaoxiang Zhang, Xiaolin Hu, Baoyuan Wu:
Boosting Decision-Based Black-Box Adversarial Attacks with Random Sign Flip. ECCV (15) 2020: 276-293 - [c29]Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu:
SPL-MLL: Selecting Predictable Landmarks for Multi-label Learning. ECCV (9) 2020: 783-799 - [c28]Ruixin Xiao, Zhilei Liu, Baoyuan Wu:
Teacher-Student Competition for Unsupervised Domain Adaptation. ICPR 2020: 8291-8298 - [c27]Chengcheng Ma, Weiliang Meng, Baoyuan Wu, Shibiao Xu, Xiaopeng Zhang:
Efficient Joint Gradient Based Attack Against SOR Defense for 3D Point Cloud Classification. ACM Multimedia 2020: 1819-1827 - 2019
- [c26]Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang:
Target-Aware Deep Tracking. CVPR 2019: 1369-1378 - [c25]Yong Zhang, Baoyuan Wu, Weiming Dong, Zhifeng Li, Wei Liu, Bao-Gang Hu, Qiang Ji:
Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation. CVPR 2019: 3457-3466 - [c24]Tuanhui Li, Baoyuan Wu, Yujiu Yang, Yanbo Fan, Yong Zhang, Wei Liu:
Compressing Convolutional Neural Networks via Factorized Convolutional Filters. CVPR 2019: 3977-3986 - [c23]Jia Wan, Wenhan Luo, Baoyuan Wu, Antoni B. Chan, Wei Liu:
Residual Regression With Semantic Prior for Crowd Counting. CVPR 2019: 4036-4045 - [c22]Yan Xu, Baoyuan Wu, Fumin Shen, Yanbo Fan, Yong Zhang, Heng Tao Shen, Wei Liu:
Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables. CVPR 2019: 4135-4144 - [c21]Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu:
Learning to Compose Dynamic Tree Structures for Visual Contexts. CVPR 2019: 6619-6628 - [c20]Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu:
Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition. CVPR 2019: 7714-7722 - [c19]Yong Zhang, Haiyong Jiang, Baoyuan Wu, Yanbo Fan, Qiang Ji:
Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation With Partially Labeled Data. ICCV 2019: 733-742 - [c18]Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhen-Hua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - 2018
- [c17]Linchao Bao, Baoyuan Wu, Wei Liu:
CNN in MRF: Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF. CVPR 2018: 5977-5986 - [c16]Baoyuan Wu, Weidong Chen, Peng Sun, Wei Liu, Bernard Ghanem, Siwei Lyu:
Tagging Like Humans: Diverse and Distinct Image Annotation. CVPR 2018: 7967-7975 - [c15]Zechun Liu, Baoyuan Wu, Wenhan Luo, Xin Yang, Wei Liu, Kwang-Ting Cheng:
Bi-Real Net: Enhancing the Performance of 1-Bit CNNs with Improved Representational Capability and Advanced Training Algorithm. ECCV (15) 2018: 747-763 - [c14]Tim Tsz-Kit Lau, Jinshan Zeng, Baoyuan Wu, Yuan Yao:
A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training. ICLR (Workshop) 2018 - 2017
- [c13]Baoyuan Wu, Fan Jia, Wei Liu, Bernard Ghanem:
Diverse Image Annotation. CVPR 2017: 6194-6202 - 2016
- [c12]Baoyuan Wu, Siwei Lyu, Bernard Ghanem:
Constrained Submodular Minimization for Missing Labels and Class Imbalance in Multi-label Learning. AAAI 2016: 2229-2236 - [c11]Baoyuan Wu, Weibin Guo, Yi Liu, Qiang Zhang, Ling Zhou, Qingquan Yan, Zhong Zheng, Zengfu Wang:
Structural Design of Multi-joint Foldable Robot Manipulator for Remote Inspection in Experimental Advanced Superconducting Tokamak (EAST). IAS 2016: 993-1002 - [c10]Yi Liu, Qingquan Yan, Qiang Zhang, Weibin Guo, Odbal, Baoyuan Wu, Zengfu Wang:
Control System Design and Implementation of Flexible Multi-joint Snake-Like Robot for Inspecting Vessel. IAS 2016: 1037-1047 - [c9]Lifu Gao, Weibin Guo, Baoyuan Wu, Daqing Wang, Yuan Liu, Yi Liu, Qiang Zhang, Zengfu Wang, Liangbin Guo:
Research on the Tokamak Equipment CAsk (TECA) for Remote Handling in Experimental Advanced Superconducting Tokamak (EAST). IAS 2016: 1049-1059 - 2015
- [c8]Baoyuan Wu, Siwei Lyu, Bernard Ghanem:
ML-MG: Multi-label Learning with Missing Labels Using a Mixed Graph. ICCV 2015: 4157-4165 - 2014
- [c7]Baoyuan Wu, Zhilei Liu, Shangfei Wang, Bao-Gang Hu, Qiang Ji:
Multi-label Learning with Missing Labels. ICPR 2014: 1964-1968 - 2013
- [c6]Baoyuan Wu, Yifan Zhang, Bao-Gang Hu, Qiang Ji:
Constrained Clustering and Its Application to Face Clustering in Videos. CVPR 2013: 3507-3514 - [c5]Baoyuan Wu, Siwei Lyu, Bao-Gang Hu, Qiang Ji:
Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos. ICCV 2013: 2856-2863 - 2012
- [c4]Jianfei Luo, Baoyuan Wu, Qiu-Shi Lin, Fei Shen, ZhongCheng Wu:
A Novel F-Pad for Handwriting Force Information Acquisition. ICIC (2) 2012: 138-144 - 2011
- [c3]Baoyuan Wu, Bao-Gang Hu:
Density and neighbor Adaptive Information Theoretic Clustering. IJCNN 2011: 230-237 - 2007
- [c2]Jian Sun, Feng Chen, Baoyuan Wu, Xiaohong Deng, Yong Yu, YunJian Ge:
Design of the force-sensors system of WPAL. ROBIO 2007: 1321-1326 - 2006
- [c1]Feng Chen, Yong Yu, YunJian Ge, Jian Sun, Baoyuan Wu:
A PAWL for Enhancing Strength and Endurance during Walking Using Interaction Force and Dynamical Information. ROBIO 2006: 654-659
Informal and Other Publications
- 2024
- [i89]Mingli Zhu, Zihao Zhu, Sihong Chen, Chen Chen, Baoyuan Wu:
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models. CoRR abs/2401.07208 (2024) - [i88]Zhengyao Song, Yongqiang Li, Danni Yuan, Li Liu, Shaokui Wei, Baoyuan Wu:
WPDA: Frequency-based Backdoor Attack with Wavelet Packet Decomposition. CoRR abs/2401.13578 (2024) - [i87]Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu:
Invariant Test-Time Adaptation for Vision-Language Model Generalization. CoRR abs/2403.00376 (2024) - [i86]Chuangchuang Tan, Ping Liu, RenShuai Tao, Huan Liu, Yao Zhao, Baoyuan Wu, Yunchao Wei:
Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection. CoRR abs/2403.06803 (2024) - [i85]Shan Jia, Reilin Lyu, Kangran Zhao, Yize Chen, Zhiyuan Yan, Yan Ju, Chuanbo Hu, Xin Li, Baoyuan Wu, Siwei Lyu:
Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics. CoRR abs/2403.14077 (2024) - [i84]Zhenzhe Gao, Zhenjun Tang, Zhaoxia Yin, Baoyuan Wu, Yue Lu:
Fragile Model Watermark for integrity protection: leveraging boundary volatility and sensitive sample-pairing. CoRR abs/2404.07572 (2024) - [i83]Shaokui Wei, Hongyuan Zha, Baoyuan Wu:
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor. CoRR abs/2405.16112 (2024) - [i82]Mingli Zhu, Siyuan Liang, Baoyuan Wu:
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack. CoRR abs/2405.16134 (2024) - [i81]Yingqi Liu, Yifan Shi, Qinglun Li, Baoyuan Wu, Xueqian Wang, Li Shen:
Decentralized Directed Collaboration for Personalized Federated Learning. CoRR abs/2405.17876 (2024) - [i80]Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Mingli Zhu, Ruotong Wang, Li Liu, Chao Shen:
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning. CoRR abs/2407.19845 (2024) - [i79]Zihao Zhu, Bingzhe Wu, Zhengyou Zhang, Baoyuan Wu:
RiskAwareBench: Towards Evaluating Physical Risk Awareness for High-level Planning of LLM-based Embodied Agents. CoRR abs/2408.04449 (2024) - [i78]Chuangchuang Tan, RenShuai Tao, Huan Liu, Guanghua Gu, Baoyuan Wu, Yao Zhao, Yunchao Wei:
C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection. CoRR abs/2408.09647 (2024) - 2023
- [i77]Fei Yin, Yong Zhang, Baoyuan Wu, Yan Feng, Jingyi Zhang, Yanbo Fan, Yujiu Yang:
Generalizable Black-Box Adversarial Attack with Meta Learning. CoRR abs/2301.00364 (2023) - [i76]Baoyuan Wu, Li Liu, Zihao Zhu, Qingshan Liu, Zhaofeng He, Siwei Lyu:
Adversarial Machine Learning: A Systematic Survey of Backdoor Attack, Weight Attack and Adversarial Example. CoRR abs/2302.09457 (2023) - [i75]Guanghao Li, Wansen Wu, Yan Sun, Li Shen, Baoyuan Wu, Dacheng Tao:
Visual Prompt Based Personalized Federated Learning. CoRR abs/2303.08678 (2023) - [i74]Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
Improving Fast Adversarial Training with Prior-Guided Knowledge. CoRR abs/2304.00202 (2023) - [i73]Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan:
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks. CoRR abs/2304.00571 (2023) - [i72]Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu:
Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization. CoRR abs/2304.11823 (2023) - [i71]Zhiyuan Yan, Yong Zhang, Yanbo Fan, Baoyuan Wu:
UCF: Uncovering Common Features for Generalizable Deepfake Detection. CoRR abs/2304.13949 (2023) - [i70]Junpei Liao, Zhikai Chen, Liang Yi, Wenyuan Yang, Baoyuan Wu, Xiaochun Cao:
Inter-frame Accelerate Attack against Video Interpolation Models. CoRR abs/2305.06540 (2023) - [i69]Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao:
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. CoRR abs/2305.18413 (2023) - [i68]Ruotong Wang, Hongrui Chen, Zihao Zhu, Li Liu, Yong Zhang, Yanbo Fan, Baoyuan Wu:
Robust Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers. CoRR abs/2306.00816 (2023) - [i67]Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu:
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. CoRR abs/2306.16697 (2023) - [i66]Zhiyuan Yan, Yong Zhang, Xinhang Yuan, Siwei Lyu, Baoyuan Wu:
DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection. CoRR abs/2307.01426 (2023) - [i65]Wangbo Yu, Yanbo Fan, Yong Zhang, Xuan Wang, Fei Yin, Yunpeng Bai, Yan-Pei Cao, Ying Shan, Yang Wu, Zhongqian Sun, Baoyuan Wu:
NOFA: NeRF-based One-shot Facial Avatar Reconstruction. CoRR abs/2307.03441 (2023) - [i64]Zihao Zhu, Mingda Zhang, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu:
Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy. CoRR abs/2307.07328 (2023) - [i63]Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu:
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples. CoRR abs/2307.10562 (2023) - [i62]Yuan Gong, Yong Zhang, Xiaodong Cun, Fei Yin, Yanbo Fan, Xuan Wang, Baoyuan Wu, Yujiu Yang:
ToonTalker: Cross-Domain Face Reenactment. CoRR abs/2308.12866 (2023) - [i61]Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu:
VDC: Versatile Data Cleanser for Detecting Dirty Samples via Visual-Linguistic Inconsistency. CoRR abs/2309.16211 (2023) - [i60]Zhiyuan Yan, Yuhao Luo, Siwei Lyu, Qingshan Liu, Baoyuan Wu:
Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection. CoRR abs/2311.11278 (2023) - [i59]Zixuan Hu, Li Shen, Zhenyi Wang, Yongxian Wei, Baoyuan Wu, Chun Yuan, Dacheng Tao:
Task-Distributionally Robust Data-Free Meta-Learning. CoRR abs/2311.14756 (2023) - [i58]Danni Yuan, Shaokui Wei, Mingda Zhang, Li Liu, Baoyuan Wu:
Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks. CoRR abs/2312.06230 (2023) - [i57]Baoyuan Wu, Shaokui Wei, Mingli Zhu, Meixi Zheng, Zihao Zhu, Mingda Zhang, Hongrui Chen, Danni Yuan, Li Liu, Qingshan Liu:
Defenses in Adversarial Machine Learning: A Survey. CoRR abs/2312.08890 (2023) - [i56]Meixi Zheng, Xuanchen Yan, Zihao Zhu, Hongrui Chen, Baoyuan Wu:
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks. CoRR abs/2312.16979 (2023) - 2022
- [i55]Siyuan Liang, Baoyuan Wu, Yanbo Fan, Xingxing Wei, Xiaochun Cao:
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection. CoRR abs/2201.08970 (2022) - [i54]Kunzhe Huang, Yiming Li, Baoyuan Wu, Zhan Qin, Kui Ren:
Backdoor Defense via Decoupling the Training Process. CoRR abs/2202.03423 (2022) - [i53]Fei Yin, Yong Zhang, Xiaodong Cun, Mingdeng Cao, Yanbo Fan, Xuan Wang, Qingyan Bai, Baoyuan Wu, Jue Wang, Yujiu Yang:
StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN. CoRR abs/2203.04036 (2022) - [i52]Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
LAS-AT: Adversarial Training with Learnable Attack Strategy. CoRR abs/2203.06616 (2022) - [i51]Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao:
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR abs/2205.10014 (2022) - [i50]Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen, Hongyuan Zha:
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. CoRR abs/2206.12654 (2022) - [i49]Longkang Li, Baoyuan Wu:
Learning to Accelerate Approximate Methods for Solving Integer Programming via Early Fixing. CoRR abs/2207.02087 (2022) - [i48]Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
Prior-Guided Adversarial Initialization for Fast Adversarial Training. CoRR abs/2207.08859 (2022) - [i47]Jiawang Bai, Baoyuan Wu, Zhifeng Li, Shutao Xia:
Versatile Weight Attack via Flipping Limited Bits. CoRR abs/2207.12405 (2022) - [i46]Kuofeng Gao, Jiawang Bai, Baoyuan Wu, Mengxi Ya, Shu-Tao Xia:
Imperceptible and Robust Backdoor Attack in 3D Point Cloud. CoRR abs/2208.08052 (2022) - [i45]Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li, Baoyuan Wu, Xiaochun Cao:
A Large-scale Multiple-objective Method for Black-box Attack against Object Detection. CoRR abs/2209.07790 (2022) - [i44]Jiancong Xiao, Zeyu Qin, Yanbo Fan, Baoyuan Wu, Jue Wang, Zhi-Quan Luo:
Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis. CoRR abs/2210.00557 (2022) - [i43]Zeyu Qin, Yanbo Fan, Yi Liu, Li Shen, Yong Zhang, Jue Wang, Baoyuan Wu:
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation. CoRR abs/2210.05968 (2022) - [i42]Longkang Li, Siyuan Liang, Zihao Zhu, Xiaochun Cao, Chris Ding, Hongyuan Zha, Baoyuan Wu:
Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning. CoRR abs/2210.17178 (2022) - [i41]Xingxing Wei, Bangzheng Pu, Jiefan Lu, Baoyuan Wu:
Physically Adversarial Attacks and Defenses in Computer Vision: A Survey. CoRR abs/2211.01671 (2022) - 2021
- [i40]Jindong Gu, Baoyuan Wu, Volker Tresp:
Effective and Efficient Vote Attack on Capsule Networks. CoRR abs/2102.10055 (2021) - [i39]Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia:
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits. CoRR abs/2102.10496 (2021) - [i38]Gengcong Yang, Jingyi Zhang, Yong Zhang, Baoyuan Wu, Yujiu Yang:
Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation. CoRR abs/2103.05271 (2021) - [i37]Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu:
Towards Open-World Text-Guided Face Image Generation and Manipulation. CoRR abs/2104.08910 (2021) - [i36]Yifan Xu, Kekai Sheng, Weiming Dong, Baoyuan Wu, Changsheng Xu, Bao-Gang Hu:
Towards Corruption-Agnostic Robust Domain Adaptation. CoRR abs/2104.10376 (2021) - [i35]Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu:
Theoretical Study of Random Noise Defense against Query-Based Black-Box Attacks. CoRR abs/2104.11470 (2021) - [i34]Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu:
Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing. CoRR abs/2105.07553 (2021) - [i33]Chuanbiao Song, Yanbo Fan, Yichen Yang, Baoyuan Wu, Yiming Li, Zhifeng Li, Kun He:
Regional Adversarial Training for Better Robust Generalization. CoRR abs/2109.00678 (2021) - [i32]Xin Zheng, Yanbo Fan, Baoyuan Wu, Yong Zhang, Jue Wang, Shirui Pan:
Robust Physical-World Attacks on Face Recognition. CoRR abs/2109.09320 (2021) - [i31]Xiaojun Jia, Yong Zhang, Baoyuan Wu, Jue Wang, Xiaochun Cao:
Boosting Fast Adversarial Training with Learnable Adversarial Initialization. CoRR abs/2110.05007 (2021) - 2020
- [i30]Yong Zhang, Le Li, Zhilei Liu, Baoyuan Wu, Yanbo Fan, Zhifeng Li:
Controllable Descendant Face Synthesis. CoRR abs/2002.11376 (2020) - [i29]Zhilei Liu, Yunpeng Wu, Le Li, Cuicui Zhang, Baoyuan Wu:
Joint Face Completion and Super-resolution using Multi-scale Feature Relation Learning. CoRR abs/2003.00255 (2020) - [i28]Yiming Li, Baoyuan Wu, Yan Feng, Yanbo Fan, Yong Jiang, Zhifeng Li, Shutao Xia:
Toward Adversarial Robustness via Semi-supervised Robust Training. CoRR abs/2003.06974 (2020) - [i27]Yiming Li, Tongqing Zhai, Baoyuan Wu, Yong Jiang, Zhifeng Li, Shutao Xia:
Rethinking the Trigger of Backdoor Attack. CoRR abs/2004.04692 (2020) - [i26]Chengcheng Ma, Baoyuan Wu, Shibiao Xu, Yanbo Fan, Yong Zhang, Xiaopeng Zhang, Zhifeng Li:
Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients. CoRR abs/2005.05552 (2020) - [i25]Yan Feng, Baoyuan Wu, Yanbo Fan, Zhifeng Li, Shutao Xia:
Efficient Black-Box Adversarial Attack Guided by the Distribution of Adversarial Perturbations. CoRR abs/2006.08538 (2020) - [i24]Yiming Li, Baoyuan Wu, Yong Jiang, Zhifeng Li, Shu-Tao Xia:
Backdoor Learning: A Survey. CoRR abs/2007.08745 (2020) - [i23]Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu:
SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning. CoRR abs/2008.06883 (2020) - [i22]Yiming Li, Ziqi Zhang, Jiawang Bai, Baoyuan Wu, Yong Jiang, Shu-Tao Xia:
Open-sourced Dataset Protection via Backdoor Watermarking. CoRR abs/2010.05821 (2020) - [i21]Ruixin Xiao, Zhilei Liu, Baoyuan Wu:
Teacher-Student Competition for Unsupervised Domain Adaptation. CoRR abs/2010.09572 (2020) - [i20]Tongqing Zhai, Yiming Li, Ziqi Zhang, Baoyuan Wu, Yong Jiang, Shu-Tao Xia:
Backdoor Attack against Speaker Verification. CoRR abs/2010.11607 (2020) - [i19]Rui-Song Zhang, Weize Quan, Baoyuan Wu, Zhifeng Li, Dong-Ming Yan:
Pixel-wise Dense Detector for Image Inpainting. CoRR abs/2011.02293 (2020) - [i18]Jingyi Zhang, Yong Zhang, Baoyuan Wu, Yanbo Fan, Fumin Shen, Heng Tao Shen:
Dual ResGCN for Balanced Scene GraphGeneration. CoRR abs/2011.04234 (2020) - [i17]Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu:
TediGAN: Text-Guided Diverse Image Generation and Manipulation. CoRR abs/2012.03308 (2020) - [i16]Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu:
Backdoor Attack with Sample-Specific Triggers. CoRR abs/2012.03816 (2020) - 2019
- [i15]Baoyuan Wu, Weidong Chen, Yanbo Fan, Yong Zhang, Jinlong Hou, Jie Liu, Junzhou Huang, Wei Liu, Tong Zhang:
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning. CoRR abs/1901.01703 (2019) - [i14]Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang:
Target-Aware Deep Tracking. CoRR abs/1904.01772 (2019) - [i13]Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu:
Efficient Decision-based Black-box Adversarial Attacks on Face Recognition. CoRR abs/1904.04433 (2019) - [i12]Baoyuan Wu, Li Shen, Bernard Ghanem, Tong Zhang:
MAP Inference via L2-Sphere Linear Program Reformulation. CoRR abs/1905.03433 (2019) - [i11]Yan Xu, Baoyuan Wu, Fumin Shen, Yanbo Fan, Yong Zhang, Heng Tao Shen, Wei Liu:
Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables. CoRR abs/1905.04016 (2019) - [i10]Yuezun Li, Xin Yang, Baoyuan Wu, Siwei Lyu:
Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations. CoRR abs/1906.09288 (2019) - [i9]Adel Bibi, Baoyuan Wu, Bernard Ghanem:
Constrained K-means with General Pairwise and Cardinality Constraints. CoRR abs/1907.10410 (2019) - 2018
- [i8]Tim Tsz-Kit Lau, Jinshan Zeng, Baoyuan Wu, Yuan Yao:
A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training. CoRR abs/1803.09082 (2018) - [i7]Linchao Bao, Baoyuan Wu, Wei Liu:
CNN in MRF: Video Object Segmentation via Inference in A CNN-Based Higher-Order Spatio-Temporal MRF. CoRR abs/1803.09453 (2018) - [i6]Baoyuan Wu, Weidong Chen, Peng Sun, Wei Liu, Bernard Ghanem, Siwei Lyu:
Tagging like Humans: Diverse and Distinct Image Annotation. CoRR abs/1804.00113 (2018) - [i5]Baoyuan Wu, Fan Jia, Wei Liu, Bernard Ghanem, Siwei Lyu:
Multi-label Learning with Missing Labels using Mixed Dependency Graphs. CoRR abs/1804.00117 (2018) - [i4]Zechun Liu, Baoyuan Wu, Wenhan Luo, Xin Yang, Wei Liu, Kwang-Ting Cheng:
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. CoRR abs/1808.00278 (2018) - [i3]Zechun Liu, Wenhan Luo, Baoyuan Wu, Xin Yang, Wei Liu, Kwang-Ting Cheng:
Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance. CoRR abs/1811.01335 (2018) - [i2]Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu:
Learning to Compose Dynamic Tree Structures for Visual Contexts. CoRR abs/1812.01880 (2018) - 2016
- [i1]Baoyuan Wu, Bernard Ghanem:
ℓp-Box ADMM: A Versatile Framework for Integer Programming. CoRR abs/1604.07666 (2016)
Coauthor Index
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