Lyu, Siwei

79 publications

TMLR 2025 Conditional Image Synthesis with Diffusion Models: A Survey Zheyuan Zhan, Defang Chen, Jian-Ping Mei, Zhenghe Zhao, Jiawei Chen, Chun Chen, Siwei Lyu, Can Wang
CVPR 2025 HOIGPT: Learning Long-Sequence Hand-Object Interaction with Language Models Mingzhen Huang, Fu-Jen Chu, Bugra Tekin, Kevin J. Liang, Haoyu Ma, Weiyao Wang, Xingyu Chen, Pierre Gleize, Hongfei Xue, Siwei Lyu, Kris Kitani, Matt Feiszli, Hao Tang
ICCV 2025 Knowledge Distillation with Refined Logits Wujie Sun, Defang Chen, Siwei Lyu, Genlang Chen, Chun Chen, Can Wang
NeurIPS 2025 X2-DFD: A Framework for Explainable and Extendable Deepfake Detection Yize Chen, Zhiyuan Yan, Guangliang Cheng, Kangran Zhao, Siwei Lyu, Baoyuan Wu
ICCV 2025 Your Text Encoder Can Be an Object-Level Watermarking Controller Naresh Kumar Devulapally, Mingzhen Huang, Vishal Asnani, Shruti Agarwal, Siwei Lyu, Vishnu Suresh Lokhande
CVPRW 2024 Can ChatGPT Detect DeepFakes? a Study of Using Multimodal Large Language Models for Media Forensics Shan Jia, Reilin Lyu, Kangran Zhao, Yize Chen, Zhiyuan Yan, Yan Ju, Chuanbo Hu, Xin Li, Baoyuan Wu, Siwei Lyu
ICLR 2024 Exposing Text-Image Inconsistency Using Diffusion Models Mingzhen Huang, Shan Jia, Zhou Zhou, Yan Ju, Jialing Cai, Siwei Lyu
NeurIPS 2024 First-Order Minimax Bilevel Optimization Yifan Yang, Zhaofeng Si, Siwei Lyu, Kaiyi Ji
WACV 2024 Improving Fairness in Deepfake Detection Yan Ju, Shu Hu, Shan Jia, George H. Chen, Siwei Lyu
ICML 2024 On the Trajectory Regularity of ODE-Based Diffusion Sampling Defang Chen, Zhenyu Zhou, Can Wang, Chunhua Shen, Siwei Lyu
NeurIPS 2024 ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping Mingzhen Huang, Jialing Cai, Shan Jia, Vishnu Suresh Lokhande, Siwei Lyu
NeurIPS 2024 Simple and Fast Distillation of Diffusion Models Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen, Siwei Lyu
CVPR 2024 Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection Zhiyuan Yan, Yuhao Luo, Siwei Lyu, Qingshan Liu, Baoyuan Wu
CVPRW 2023 AI-Synthesized Voice Detection Using Neural Vocoder Artifacts Chengzhe Sun, Shan Jia, Shuwei Hou, Siwei Lyu
CVPRW 2023 AutoSplice: A Text-Prompt Manipulated Image Dataset for Media Forensics Shan Jia, Mingzhen Huang, Zhou Zhou, Yan Ju, Jialing Cai, Siwei Lyu
IJCAI 2023 Controlling Neural Style Transfer with Deep Reinforcement Learning Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu
NeurIPS 2023 DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection Zhiyuan Yan, Yong Zhang, Xinhang Yuan, Siwei Lyu, Baoyuan Wu
CVPRW 2023 Harnessing the Power of Text-Image Contrastive Models for Automatic Detection of Online Misinformation Hao Chen, Peng Zheng, Xin Wang, Shu Hu, Bin Zhu, Jinrong Hu, Xi Wu, Siwei Lyu
CVPRW 2023 NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang
ACML 2023 Outlier Robust Adversarial Training Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu
CVPR 2023 Tracking Multiple Deformable Objects in Egocentric Videos Mingzhen Huang, Xiaoxing Li, Jun Hu, Honghong Peng, Siwei Lyu
ECCV 2022 Adaptive Face Forgery Detection in Cross Domain Luchuan Song, Zheng Fang, Xiaodan Li, Xiaoyi Dong, Zhenchao Jin, Yuefeng Chen, Siwei Lyu
UAI 2022 Differentially Private SGDA for Minimax Problems Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R Vashney, Siwei Lyu, Yiming Ying
CVPRW 2022 PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems Shu Hu, Chun-Hao Liu, Jayanta Dutta, Ming-Ching Chang, Siwei Lyu, Naveen Ramakrishnan
AAAI 2022 Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration Ziwei Luo, Jing Hu, Xin Wang, Shu Hu, Bin Kong, Youbing Yin, Qi Song, Xi Wu, Siwei Lyu
JMLR 2022 Sum of Ranked Range Loss for Supervised Learning Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu
AAAI 2022 Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu
AISTATS 2021 Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss Zhenhuan Yang, Yunwen Lei, Siwei Lyu, Yiming Ying
CVPR 2021 Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu
ICCV 2021 Invisible Backdoor Attack with Sample-Specific Triggers Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu
IJCAI 2021 Stochastic Actor-Executor-Critic for Image-to-Image Translation Ziwei Luo, Jing Hu, Xin Wang, Siwei Lyu, Bin Kong, Youbing Yin, Qi Song, Xi Wu
ICCV 2021 TkML-AP: Adversarial Attacks to Top-K Multi-Label Learning Shu Hu, Lipeng Ke, Xin Wang, Siwei Lyu
AAAI 2020 3D Single-Person Concurrent Activity Detection Using Stacked Relation Network Yi Wei, Wenbo Li, Yanbo Fan, Linghan Xu, Ming-Ching Chang, Siwei Lyu
ECCV 2020 Cascade Graph Neural Networks for RGB-D Salient Object Detection Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng, Siwei Lyu
ECCV 2020 Learning Semantic Neural Tree for Human Parsing Ruyi Ji, Dawei Du, Libo Zhang, Longyin Wen, Yanjun Wu, Chen Zhao, Feiyue Huang, Siwei Lyu
NeurIPS 2020 Learning by Minimizing the Sum of Ranked Range Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu
IJCAI 2019 Deep Correlated Predictive Subspace Learning for Incomplete Multi-View Semi-Supervised Classification Zhe Xue, Junping Du, Dawei Du, Wenqi Ren, Siwei Lyu
CVPRW 2019 Detecting AI-Synthesized Speech Using Bispectral Analysis Ehab A. AlBadawy, Siwei Lyu, Hany Farid
CVPRW 2019 Exposing DeepFake Videos by Detecting Face Warping Artifacts Yuezun Li, Siwei Lyu
AAAI 2019 Learning Non-Uniform Hypergraph for Multi-Object Tracking Longyin Wen, Dawei Du, Shengkun Li, Xiao Bian, Siwei Lyu
AAAI 2019 Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently Dan Liu, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu, Feiyue Huang, Siwei Lyu
CVPRW 2019 The 2019 AI City Challenge Milind Naphade, Zheng Tang, Ming-Ching Chang, David C. Anastasiu, Anuj Sharma, Rama Chellappa, Shuo Wang, Pranamesh Chakraborty, Tingting Huang, Jenq-Neng Hwang, Siwei Lyu
UAI 2018 A Univariate Bound of Area Under ROC Siwei Lyu, Yiming Ying
ECCV 2018 Multi-Scale Structure-Aware Network for Human Pose Estimation Lipeng Ke, Ming-Ching Chang, Honggang Qi, Siwei Lyu
ICML 2018 Stochastic Proximal Algorithms for AUC Maximization Michael Natole, Yiming Ying, Siwei Lyu
CVPRW 2018 The 2018 NVIDIA AI City Challenge Milind Naphade, Ming-Ching Chang, Anuj Sharma, David C. Anastasiu, Vamsi Jagarlamudi, Pranamesh Chakraborty, Tingting Huang, Shuo Wang, Ming-Yu Liu, Rama Chellappa, Jenq-Neng Hwang, Siwei Lyu
CVPRW 2018 Video Analytics in Smart Transportation for the AIC'18 Challenge Ming-Ching Chang, Yi Wei, Nenghui Song, Siwei Lyu
ICCV 2017 Adaptive RNN Tree for Large-Scale Human Action Recognition Wenbo Li, Longyin Wen, Ming-Ching Chang, Ser Nam Lim, Siwei Lyu
NeurIPS 2017 Learning with Average Top-K Loss Yanbo Fan, Siwei Lyu, Yiming Ying, Baogang Hu
ICCVW 2017 The Visual Object Tracking VOT2017 Challenge Results Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Andrej Muhic, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Antoine Manzanera, Antoine Tran, A. Aydin Alatan, Bogdan Mocanu, Boyu Chen, Chang Huang, Changsheng Xu, Chong Sun, Dalong Du, David Zhang, Dawei Du, Deepak Mishra, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat, Guan Huang, Guilherme Sousa Bastos, Guna Seetharaman, Hongliang Zhang, Houqiang Li, Huchuan Lu, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jana Noskova, Jianke Zhu, Jin Gao, Jingyu Liu, Ji-Wan Kim, João F. Henriques, José M. Martínez, Junfei Zhuang, Junliang Xing, Junyu Gao, Kai Chen, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Kris M. Kitani, Lei Zhang, Lijun Wang, Lingxiao Yang, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Ming-Hsuan Yang, Nianhao Xie, Ning Wang, Ondrej Miksik, Payman Moallem, Pallavi M. Venugopal, Pedro Senna, Philip H. S. Torr, Qiang Wang, Qifeng Yu, Qingming Huang, Rafael Martin Nieto, Richard Bowden, Risheng Liu, Ruxandra Tapu, Simon Hadfield, Siwei Lyu, Stuart Golodetz, Sunglok Choi, Tianzhu Zhang, Titus Zaharia, Vincenzo Santopietro, Wei Zou, Weiming Hu, Wenbing Tao, Wenbo Li, Wengang Zhou, Xianguo Yu, Xiao Bian, Yang Li, Yifan Xing, Yingruo Fan, Zheng Zhu, Zhipeng Zhang, Zhiqun He
AAAI 2017 Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification Yang Yang, Longyin Wen, Siwei Lyu, Stan Z. Li
AAAI 2016 Co-Regularized PLSA for Multi-Modal Learning Xin Wang, Ming-Ching Chang, Yiming Ying, Siwei Lyu
AAAI 2016 Constrained Submodular Minimization for Missing Labels and Class Imbalance in Multi-Label Learning Baoyuan Wu, Siwei Lyu, Bernard Ghanem
AISTATS 2016 Fast Convergence of Online Pairwise Learning Algorithms Martin Boissier, Siwei Lyu, Yiming Ying, Ding-Xuan Zhou
NeurIPS 2016 Stochastic Online AUC Maximization Yiming Ying, Longyin Wen, Siwei Lyu
ECCV 2016 The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results Michael Felsberg, Matej Kristan, Jiri Matas, Ales Leonardis, Roman P. Pflugfelder, Gustav Häger, Amanda Berg, Abdelrahman Eldesokey, Jörgen Ahlberg, Luka Cehovin, Tomás Vojír, Alan Lukezic, Gustavo Fernández, Alfredo Petrosino, Álvaro García-Martín, Andrés Solís Montero, Anton Varfolomieiev, Aykut Erdem, Bohyung Han, Chang-Ming Chang, Dawei Du, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Guna Seetharaman, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Hyeonseob Nam, Jack Valmadre, Jianke Zhu, Jiayi Feng, Jochen Lang, José M. Martínez, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Michael Arens, Ming Tang, Mooyeol Baek, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Philip H. S. Torr, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Sebastian Bernd Krah, Shengkun Li, Shizeng Yao, Simon Hadfield, Siwei Lyu, Stefan Becker, Stuart Golodetz, Tao Hu, Thomas Mauthner, Vincenzo Santopietro, Wenbo Li, Wolfgang Hübner, Xin Li, Yang Li, Zhan Xu, Zhenyu He
ECCVW 2016 The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results Michael Felsberg, Matej Kristan, Jiri Matas, Ales Leonardis, Roman P. Pflugfelder, Gustav Häger, Amanda Berg, Abdelrahman Eldesokey, Jörgen Ahlberg, Luka Cehovin, Tomás Vojír, Alan Lukezic, Gustavo Fernández, Alfredo Petrosino, Álvaro García-Martín, Andrés Solís Montero, Anton Varfolomieiev, Aykut Erdem, Bohyung Han, Chang-Ming Chang, Dawei Du, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Guna Seetharaman, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Hyeonseob Nam, Jack Valmadre, Jianke Zhu, Jiayi Feng, Jochen Lang, José M. Martínez, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Michael Arens, Ming Tang, Mooyeol Baek, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Philip H. S. Torr, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Sebastian Bernd Krah, Shengkun Li, Shizeng Yao, Simon Hadfield, Siwei Lyu, Stefan Becker, Stuart Golodetz, Tao Hu, Thomas Mauthner, Vincenzo Santopietro, Wenbo Li, Wolfgang Hübner, Xin Li, Yang Li, Zhan Xu, Zhenyu He
ECCV 2016 The Visual Object Tracking VOT2016 Challenge Results Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi
ECCVW 2016 The Visual Object Tracking VOT2016 Challenge Results Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi
ICCV 2015 Category-Blind Human Action Recognition: A Practical Recognition System Wenbo Li, Longyin Wen, Mooi Choo Chuah, Siwei Lyu
ICCV 2015 Improving Image Restoration with Soft-Rounding Xing Mei, Honggang Qi, Bao-Gang Hu, Siwei Lyu
ICCV 2015 ML-MG: Multi-Label Learning with Missing Labels Using a Mixed Graph Baoyuan Wu, Siwei Lyu, Bernard Ghanem
CVPR 2015 UniHIST: A Unified Framework for Image Restoration with Marginal Histogram Constraints Xing Mei, Weiming Dong, Bao-Gang Hu, Siwei Lyu
CVPR 2014 Using Projection Kurtosis Concentration of Natural Images for Blind Noise Covariance Matrix Estimation Xing Zhang, Siwei Lyu
IJCAI 2013 Deep Feature Learning Using Target Priors with Applications in ECoG Signal Decoding for BCI Zuoguan Wang, Siwei Lyu, Gerwin Schalk, Qiang Ji
NeurIPS 2013 On Algorithms for Sparse Multi-Factor NMF Siwei Lyu, Xin Wang
ICCV 2013 Simultaneous Clustering and Tracklet Linking for Multi-Face Tracking in Videos Baoyuan Wu, Siwei Lyu, Bao-Gang Hu, Qiang Ji
NeurIPS 2012 Learning with Target Prior Zuoguan Wang, Siwei Lyu, Gerwin Schalk, Qiang Ji
NeurIPS 2011 Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction Siwei Lyu
NeurIPS 2010 Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform Siwei Lyu
CVPR 2009 An Implicit Markov Random Field Model for the Multi-Scale Oriented Representations of Natural Images Siwei Lyu
UAI 2009 Interpretation and Generalization of Score Matching Siwei Lyu
CVPR 2008 Nonlinear Image Representation Using Divisive Normalization Siwei Lyu, Eero P. Simoncelli
NeurIPS 2008 Reducing Statistical Dependencies in Natural Signals Using Radial Gaussianization Siwei Lyu, Eero P. Simoncelli
NeurIPS 2006 Statistical Modeling of Images with Fields of Gaussian Scale Mixtures Siwei Lyu, Eero P. Simoncelli
ECML-PKDD 2005 A Kernel Between Unordered Sets of Data: The Gaussian Mixture Approach Siwei Lyu
CVPR 2005 Infomax Boosting Siwei Lyu
CVPR 2005 Mercer Kernels for Object Recognition with Local Features Siwei Lyu
CVPRW 2003 Higher-Order Wavelet Statistics and Their Application to Digital Forensics Hany Farid, Siwei Lyu