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2020 – today
- 2024
[j47]Yuezun Li
, Cong Zhang, Honggang Qi, Siwei Lyu:
AdaNI: Adaptive Noise Injection to improve adversarial robustness. Comput. Vis. Image Underst. 238: 103855 (2024)- [j46]Yuezun Li, Pu Sun, Honggang Qi, Siwei Lyu:
LandmarkBreaker: A proactive method to obstruct DeepFakes via disrupting facial landmark extraction. Comput. Vis. Image Underst. 240: 103935 (2024) - [j45]Cong Zhang, Honggang Qi, Shuhui Wang, Yuezun Li, Siwei Lyu:
COMICS: End-to-End Bi-Grained Contrastive Learning for Multi-Face Forgery Detection. IEEE Trans. Circuits Syst. Video Technol. 34(10): 10223-10236 (2024) - [j44]Jiucui Lu, Jiaran Zhou, Junyu Dong, Bin Li, Siwei Lyu, Yuezun Li:
ForensicsForest Family: A Series of Multi-Scale Hierarchical Cascade Forests for Detecting GAN-Generated Faces. IEEE Trans. Inf. Forensics Secur. 19: 5106-5119 (2024) - [j43]Yan Ju, Shan Jia, Jialing Cai, Haiying Guan, Siwei Lyu:
GLFF: Global and Local Feature Fusion for AI-Synthesized Image Detection. IEEE Trans. Multim. 26: 4073-4085 (2024) - [c165]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. CVPR Workshops 2024: 4324-4333 - [c164]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 - [c163]Cong Zhang, Yuezun Li, Honggang Qi, Siwei Lyu:
Enhancing Adversarial Robustness of DNNS Via Weight Decorrelation in Training. ICASSP 2024: 4660-4664 - [c162]Mingzhen Huang, Shan Jia, Zhou Zhou, Yan Ju, Jialing Cai, Siwei Lyu:
Exposing Text-Image Inconsistency Using Diffusion Models. ICLR 2024 - [c161]Soumyya Kanti Datta, Shan Jia, Siwei Lyu:
Exposing Lip-syncing Deepfakes from Mouth Inconsistencies. ICME 2024: 1-6 - [c160]Cai Yu, Shan Jia, Xiaomeng Fu, Jin Liu, Jiahe Tian, Jiao Dai, Xi Wang, Siwei Lyu, Jizhong Han:
Explicit Correlation Learning for Generalizable Cross-Modal Deepfake Detection. ICME 2024: 1-6 - [c159]Defang Chen, Zhenyu Zhou, Can Wang, Chunhua Shen, Siwei Lyu:
On the Trajectory Regularity of ODE-based Diffusion Sampling. ICML 2024 - [c158]Jing Hu, Qinrui Fan, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang:
UMedNeRF: Uncertainty-Aware Single View Volumetric Rendering For Medical Neural Radiance Fields. ISBI 2024: 1-4 - [c157]Yan Ju, Chengzhe Sun, Shan Jia, Shuwei Hou, Zhaofeng Si, Soumyya Kanti Datta, Lipeng Ke, Riky Zhou, Anita Nikolich, Siwei Lyu:
DeepFake-o-meter v2.0: An Open Platform for DeepFake Detection. MIPR 2024: 439-445 - [c156]Yan Ju, Shu Hu, Shan Jia, George H. Chen, Siwei Lyu:
Improving Fairness in Deepfake Detection. WACV 2024: 4643-4653 - [i114]Soumyya Kanti Datta, Shan Jia, Siwei Lyu:
Exposing Lip-syncing Deepfakes from Mouth Inconsistencies. CoRR abs/2401.10113 (2024) - [i113]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) - [i112]Shuwei Hou, Yan Ju, Chengzhe Sun, Shan Jia, Lipeng Ke, Riky Zhou, Anita Nikolich, Siwei Lyu:
DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection. CoRR abs/2404.13146 (2024) - [i111]Mingzhen Huang, Shan Jia, Zhou Zhou, Yan Ju, Jialing Cai, Siwei Lyu:
Exposing Text-Image Inconsistency Using Diffusion Models. CoRR abs/2404.18033 (2024) - [i110]Cai Yu, Shan Jia, Xiaomeng Fu, Jin Liu, Jiahe Tian, Jiao Dai, Xi Wang, Siwei Lyu, Jizhong Han:
Explicit Correlation Learning for Generalizable Cross-Modal Deepfake Detection. CoRR abs/2404.19171 (2024) - [i109]Mian Zou, Baosheng Yu, Yibing Zhan, Siwei Lyu, Kede Ma:
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method. CoRR abs/2405.08487 (2024) - [i108]Defang Chen, Zhenyu Zhou, Can Wang, Chunhua Shen, Siwei Lyu:
On the Trajectory Regularity of ODE-based Diffusion Sampling. CoRR abs/2405.11326 (2024) - [i107]Mihir Chauhan, Mohammad Abuzar Shaikh, Bina Ramamurthy, Mingchen Gao, Siwei Lyu, Sargur N. Srihari:
Self-Supervised Learning Based Handwriting Verification. CoRR abs/2405.18320 (2024) - [i106]Mingzhen Huang, Jialing Cai, Shan Jia, Vishnu Suresh Lokhande, Siwei Lyu:
MultiEdits: Simultaneous Multi-Aspect Editing with Text-to-Image Diffusion Models. CoRR abs/2406.00985 (2024) - [i105]Mihir Chauhan, Abhishek Satbhai, Mohammad Abuzar Hashemi, Mir Basheer Ali, Bina Ramamurthy, Mingchen Gao, Siwei Lyu, Sargur N. Srihari:
Vision-Language Model Based Handwriting Verification. CoRR abs/2407.21788 (2024) - [i104]Ye Yao, Tingfeng Han, Shan Jia, Siwei Lyu:
Dense Feature Interaction Network for Image Inpainting Localization. CoRR abs/2408.02191 (2024) - [i103]Jingfu Yang, Peng Huang, Jing Hu, Shu Hu, Siwei Lyu, Xin Wang, Jun Guo, Xi Wu:
An Explainable Non-local Network for COVID-19 Diagnosis. CoRR abs/2408.04300 (2024) - [i102]Wujie Sun, Defang Chen, Siwei Lyu, Genlang Chen, Chun Chen, Can Wang:
Knowledge Distillation with Refined Logits. CoRR abs/2408.07703 (2024) - [i101]Mian Zou, Baosheng Yu, Yibing Zhan, Siwei Lyu, Kede Ma:
Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach. CoRR abs/2408.16305 (2024) - [i100]Zheyuan Zhan, Defang Chen, Jian-Ping Mei, Zhenghe Zhao, Jiawei Chen, Chun Chen, Siwei Lyu, Can Wang:
Conditional Image Synthesis with Diffusion Models: A Survey. CoRR abs/2409.19365 (2024) - [i99]Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen, Siwei Lyu:
Simple and Fast Distillation of Diffusion Models. CoRR abs/2409.19681 (2024) - [i98]Yize Chen, Zhiyuan Yan, Siwei Lyu, Baoyuan Wu:
X2-DFD: A framework for eXplainable and eXtendable Deepfake Detection. CoRR abs/2410.06126 (2024) - [i97]Zhaofeng Si, Shu Hu, Kaiyi Ji, Siwei Lyu:
Meta-Learning with Heterogeneous Tasks. CoRR abs/2410.18894 (2024) - [i96]Delong Zhu, Yuezun Li, Baoyuan Wu, Jiaran Zhou, Zhibo Wang, Siwei Lyu:
Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection. CoRR abs/2412.01101 (2024) - [i95]Zihao Zhu, Hongbao Zhang, Guanzong Wu, Siwei Lyu, Baoyuan Wu:
HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing. CoRR abs/2412.05685 (2024) - [i94]Hao Chen, Hui Guo, Baochen Hu, Shu Hu, Jinrong Hu, Siwei Lyu, Xi Wu, Xin Wang:
A Self-Learning Multimodal Approach for Fake News Detection. CoRR abs/2412.05843 (2024) - 2023
- [j42]Jing Hu, Zhikun Shuai, Xin Wang, Shu Hu, Shanhui Sun, Siwei Lyu, Xi Wu:
Attention Guided Policy Optimization for 3D Medical Image Registration. IEEE Access 11: 65546-65558 (2023) - [j41]Shu Hu, Xin Wang, Siwei Lyu:
Rank-Based Decomposable Losses in Machine Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13599-13620 (2023) - [j40]Feng Ding, Zhangyi Shen, Guopu Zhu, Sam Kwong, Yicong Zhou, Siwei Lyu:
ExS-GAN: Synthesizing Anti-Forensics Images via Extra Supervised GAN. IEEE Trans. Cybern. 53(11): 7162-7173 (2023) - [j39]Ao Luo, Fan Yang, Xin Li, Yuezun Li, Zhicheng Jiao, Hong Cheng, Siwei Lyu:
Robust Scene Parsing by Mining Supportive Knowledge From Dataset. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2633-2646 (2023) - [c155]Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu:
Outlier Robust Adversarial Training. ACML 2023: 454-469 - [c154]Shan Jia, Mingzhen Huang, Zhou Zhou, Yan Ju, Jialing Cai, Siwei Lyu:
AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics. CVPR Workshops 2023: 893-903 - [c153]Chengzhe Sun, Shan Jia, Shuwei Hou, Siwei Lyu:
AI-Synthesized Voice Detection Using Neural Vocoder Artifacts. CVPR Workshops 2023: 904-912 - [c152]Hao Chen, Peng Zheng, Xin Wang, Shu Hu, Bin Zhu, Jinrong Hu, Xi Wu, Siwei Lyu:
Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation. CVPR Workshops 2023: 923-932 - [c151]Mingzhen Huang, Xiaoxing Li, Jun Hu, Honghong Peng, Siwei Lyu:
Tracking Multiple Deformable Objects in Egocentric Videos. CVPR 2023: 1461-1471 - [c150]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:
NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2023: 1922-1960 - [c149]Xin Wang, Hui Guo, Shu Hu, Ming-Ching Chang, Siwei Lyu:
GAN-Generated Faces Detection: A Survey and New Perspectives. ECAI 2023: 2533-2542 - [c148]Hui Guo, Xin Wang, Siwei Lyu:
Detection of Real-Time Deepfakes in Video Conferencing with Active Probing and Corneal Reflection. ICASSP 2023: 1-5 - [c147]Yuezun Li, Jiaran Zhou, Siwei Lyu:
Face Poison: Obstructing DeepFakes by Disrupting Face Detection. ICME 2023: 1223-1228 - [c146]Jiucui Lu, Yuezun Li, Jiaran Zhou, Bin Li, Siwei Lyu:
Forensics Forest: Multi-scale Hierarchical Cascade Forest for Detecting GAN-generated Faces. ICME 2023: 2309-2314 - [c145]Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu:
Controlling Neural Style Transfer with Deep Reinforcement Learning. IJCAI 2023: 100-108 - [c144]Yanfei Xiang, Xin Wang, Shu Hu, Bin Zhu, Xiaomeng Huang, Xi Wu, Siwei Lyu:
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control. IROS 2023: 1207-1214 - [c143]Yuanhao Zhai, Mingzhen Huang, Tianyu Luan, Lu Dong, Ifeoma Nwogu, Siwei Lyu, David S. Doermann, Junsong Yuan:
Language-guided Human Motion Synthesis with Atomic Actions. ACM Multimedia 2023: 5262-5271 - [c142]Zhiyuan Yan, Yong Zhang, Xinhang Yuan, Siwei Lyu, Baoyuan Wu:
DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection. NeurIPS 2023 - [i93]Yunxu Xie, Shu Hu, Xin Wang, Quanyu Liao, Bin Zhu, Xi Wu, Siwei Lyu:
Attacking Important Pixels for Anchor-free Detectors. CoRR abs/2301.11457 (2023) - [i92]Chengzhe Sun, Shan Jia, Shuwei Hou, Ehab AlBadawy, Siwei Lyu:
Exposing AI-Synthesized Human Voices Using Neural Vocoder Artifacts. CoRR abs/2302.09198 (2023) - [i91]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) - [i90]Shan Jia, Mingzhen Huang, Zhou Zhou, Yan Ju, Jialing Cai, Siwei Lyu:
AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics. CoRR abs/2304.06870 (2023) - [i89]Hao Chen, Peng Zheng, Xin Wang, Shu Hu, Bin Zhu, Jinrong Hu, Xi Wu, Siwei Lyu:
Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation. CoRR abs/2304.10249 (2023) - [i88]Chengzhe Sun, Shan Jia, Shuwei Hou, Siwei Lyu:
AI-Synthesized Voice Detection Using Neural Vocoder Artifacts. CoRR abs/2304.13085 (2023) - [i87]Yan Ju, Shu Hu, Shan Jia, George H. Chen, Siwei Lyu:
Improving Fairness in Deepfake Detection. CoRR abs/2306.16635 (2023) - [i86]Zhiyuan Yan, Yong Zhang, Xinhang Yuan, Siwei Lyu, Baoyuan Wu:
DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection. CoRR abs/2307.01426 (2023) - [i85]Pu Sun, Honggang Qi, Yuezun Li, Siwei Lyu:
FakeTracer: Proactively Defending Against Face-swap DeepFakes via Implanting Traces in Training. CoRR abs/2307.14593 (2023) - [i84]Jiucui Lu, Yuezun Li, Jiaran Zhou, Bin Li, Junyu Dong, Siwei Lyu:
ForensicsForest Family: A Series of Multi-scale Hierarchical Cascade Forests for Detecting GAN-generated Faces. CoRR abs/2308.00964 (2023) - [i83]Cong Zhang, Honggang Qi, Yuezun Li, Siwei Lyu:
Contrastive Multi-FaceForensics: An End-to-end Bi-grained Contrastive Learning Approach for Multi-face Forgery Detection. CoRR abs/2308.01520 (2023) - [i82]Yuanhao Zhai, Mingzhen Huang, Tianyu Luan, Lu Dong, Ifeoma Nwogu, Siwei Lyu, David S. Doermann, Junsong Yuan:
Language-guided Human Motion Synthesis with Atomic Actions. CoRR abs/2308.09611 (2023) - [i81]Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu:
Outlier Robust Adversarial Training. CoRR abs/2309.05145 (2023) - [i80]Xin Wang, Ziwei Luo, Jing Hu, Chengming Feng, Shu Hu, Bin Zhu, Xi Wu, Siwei Lyu:
Deep Reinforcement Learning for Image-to-Image Translation. CoRR abs/2309.13672 (2023) - [i79]Shanmin Yang, Shu Hu, Bin Zhu, Ying Fu, Siwei Lyu, Xi Wu, Xin Wang:
Improving Cross-dataset Deepfake Detection with Deep Information Decomposition. CoRR abs/2310.00359 (2023) - [i78]Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu:
Controlling Neural Style Transfer with Deep Reinforcement Learning. CoRR abs/2310.00405 (2023) - [i77]Sneha Muppalla, Shan Jia, Siwei Lyu:
Integrating Audio-Visual Features for Multimodal Deepfake Detection. CoRR abs/2310.03827 (2023) - [i76]Shuai Li, Siwei Lyu, Jeff Trinkle:
Efficient State Estimation with Constrained Rao-Blackwellized Particle Filter. CoRR abs/2310.04637 (2023) - [i75]Jing Hu, Qinrui Fan, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang:
UMedNeRF: Uncertainty-aware Single View Volumetric Rendering for Medical Neural Radiance Fields. CoRR abs/2311.05836 (2023) - [i74]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) - 2022
- [j38]Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu:
Robust Attentive Deep Neural Network for Detecting GAN-Generated Faces. IEEE Access 10: 32574-32583 (2022) - [j37]Wenbo Li, Yi Wei, Siwei Lyu, Ming-Ching Chang:
Simultaneous multi-person tracking and activity recognition based on cohesive cluster search. Comput. Vis. Image Underst. 214: 103301 (2022) - [j36]Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu:
Sum of Ranked Range Loss for Supervised Learning. J. Mach. Learn. Res. 23: 112:1-112:44 (2022) - [j35]Siwei Lyu, Yanbo Fan, Yiming Ying, Bao-Gang Hu:
Average Top-k Aggregate Loss for Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 76-86 (2022) - [j34]Xian Zhang, Xin Wang, Canghong Shi, Zhe Yan, Xiaojie Li, Bin Kong, Siwei Lyu, Bin Zhu, Jiancheng Lv, Youbing Yin, Qi Song, Xi Wu, Imran Mumtaz:
DE-GAN: Domain Embedded GAN for High Quality Face Image Inpainting. Pattern Recognit. 124: 108415 (2022) - [j33]Wenbo Pu, Jing Hu, Xin Wang, Yuezun Li, Shu Hu, Bin Zhu, Rui Song, Qi Song, Xi Wu, Siwei Lyu:
Learning a deep dual-level network for robust DeepFake detection. Pattern Recognit. 130: 108832 (2022) - [j32]Pu Sun, Yuezun Li, Honggang Qi, Siwei Lyu:
LandmarkGAN: Synthesizing faces from landmarks. Pattern Recognit. Lett. 161: 90-98 (2022) - [j31]Bo Peng, Hongxing Fan, Wei Wang, Jing Dong, Siwei Lyu:
A Unified Framework for High Fidelity Face Swap and Expression Reenactment. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3673-3684 (2022) - [j30]Lipeng Ke, Ming-Ching Chang, Honggang Qi, Siwei Lyu:
DetPoseNet: Improving Multi-Person Pose Estimation via Coarse-Pose Filtering. IEEE Trans. Image Process. 31: 2782-2795 (2022) - [j29]Feng Ding, Guopu Zhu, Yingcan Li, Xinpeng Zhang, Pradeep K. Atrey, Siwei Lyu:
Anti-Forensics for Face Swapping Videos via Adversarial Training. IEEE Trans. Multim. 24: 3429-3441 (2022) - [c141]Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu:
Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition. AAAI 2022: 1131-1139 - [c140]Ziwei Luo, Jing Hu, Xin Wang, Shu Hu, Bin Kong, Youbing Yin, Qi Song, Xi Wu, Siwei Lyu:
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration. AAAI 2022: 1917-1925 - [c139]Shu Hu, Chun-Hao Liu, Jayanta Dutta, Ming-Ching Chang, Siwei Lyu, Naveen Ramakrishnan:
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems. CVPR Workshops 2022: 4389-4397 - [c138]Luchuan Song, Zheng Fang, Xiaodan Li, Xiaoyi Dong, Zhenchao Jin, Yuefeng Chen, Siwei Lyu:
Adaptive Face Forgery Detection in Cross Domain. ECCV (34) 2022: 467-484 - [c137]Ehab A. AlBadawy, Andrew Gibiansky, Qing He, Jilong Wu, Ming-Ching Chang, Siwei Lyu:
Vocbench: A Neural Vocoder Benchmark for Speech Synthesis. ICASSP 2022: 881-885 - [c136]Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu:
Eyes Tell All: Irregular Pupil Shapes Reveal GAN-Generated Faces. ICASSP 2022: 2904-2908 - [c135]Mingzhen Huang, Shan Jia, Ming-Ching Chang, Siwei Lyu:
Text-Image De-Contextualization Detection Using Vision-Language Models. ICASSP 2022: 8967-8971 - [c134]Bo Peng, Wei Xiang, Yue Jiang, Wei Wang, Jing Dong, Zhenan Sun, Zhen Lei, Siwei Lyu:
DFGC 2022: The Second DeepFake Game Competition. IJCB 2022: 1-10 - [c133]Pu Sun, Yuezun Li, Honggang Qi, Siwei Lyu:
Faketracer: Exposing Deepfakes with Training Data Contamination. ICIP 2022: 1161-1165 - [c132]Shan Jia, Xin Li, Siwei Lyu:
Model Attribution of Face-Swap Deepfake Videos. ICIP 2022: 2356-2360 - [c131]Syeda Nyma Ferdous, Xin Li, Siwei Lyu:
Uncertainty Aware Multitask Pyramid Vision Transformer for UAV-Based Object Re-Identification. ICIP 2022: 2381-2385 - [c130]Yan Ju, Shan Jia, Lipeng Ke, Hongfei Xue, Koki Nagano, Siwei Lyu:
Fusing Global and Local Features for Generalized AI-Synthesized Image Detection. ICIP 2022: 3465-3469 - [c129]Dizhong Lin, Ying Fu, Xin Wang, Shu Hu, Bin Zhu, Qi Song, Xi Wu, Siwei Lyu:
Contrastive Class-Specific Encoding for Few-Shot Object Detection. ICME 2022: 1-6 - [c128]Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu:
Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces. MIPR 2022: 224-227 - [c127]Bo Peng, Siwei Lyu, Wei Wang, Jing Dong:
Counterfactual Image Enhancement for Explanation of Face Swap Deepfakes. PRCV (2) 2022: 492-508 - [c126]Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R. Varshney, Siwei Lyu, Yiming Ying:
Differentially private SGDA for minimax problems. UAI 2022: 2192-2202 - [p2]Yuezun Li, Pu Sun, Honggang Qi, Siwei Lyu:
Toward the Creation and Obstruction of DeepFakes. Handbook of Digital Face Manipulation and Detection 2022: 71-96 - [p1]Ruben Tolosana, Christian Rathgeb, Rubén Vera-Rodríguez, Christoph Busch, Luisa Verdoliva, Siwei Lyu, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen, Peter Rot, Klemen Grm, Vitomir Struc, Antitza Dantcheva, Zahid Akhtar, Sergio Romero-Tapiador, Julian Fiérrez, Aythami Morales, Javier Ortega-Garcia, Els Kindt, Catherine Jasserand, Tarmo Kalvet, Marek Tiits:
Future Trends in Digital Face Manipulation and Detection. Handbook of Digital Face Manipulation and Detection 2022: 463-482 - [i73]Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R. Varshney, Siwei Lyu, Yiming Ying:
Differentially Private SGDA for Minimax Problems. CoRR abs/2201.09046 (2022) - [i72]Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu:
Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition. CoRR abs/2202.02314 (2022) - [i71]Xin Wang, Hui Guo, Shu Hu, Ming-Ching Chang, Siwei Lyu:
GAN-generated Faces Detection: A Survey and New Perspectives. CoRR abs/2202.07145 (2022) - [i70]Shan Jia, Xin Li, Siwei Lyu:
Model Attribution of Face-swap Deepfake Videos. CoRR abs/2202.12951 (2022) - [i69]Shu Hu, Chun-Hao Liu, Jayanta Dutta, Ming-Ching Chang, Siwei Lyu, Naveen Ramakrishnan:
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems. CoRR abs/2203.05983 (2022) - [i68]Yan Ju, Shan Jia, Lipeng Ke, Hongfei Xue, Koki Nagano, Siwei Lyu:
Fusing Global and Local Features for Generalized AI-Synthesized Image Detection. CoRR abs/2203.13964 (2022) - [i67]Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu:
Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces. CoRR abs/2205.06680 (2022) - [i66]Bo Peng, Wei Xiang, Yue Jiang, Wei Wang, Jing Dong, Zhenan Sun, Zhen Lei, Siwei Lyu:
DFGC 2022: The Second DeepFake Game Competition. CoRR abs/2206.15138 (2022) - [i65]Shu Hu, Xin Wang, Siwei Lyu:
Rank-based Decomposable Losses in Machine Learning: A Survey. CoRR abs/2207.08768 (2022) - [i64]Syeda Nyma Ferdous, Xin Li, Siwei Lyu:
Uncertainty Aware Multitask Pyramid Vision Transformer For UAV-Based Object Re-Identification. CoRR abs/2209.08686 (2022) - [i63]Yanfei Xiang, Xin Wang, Shu Hu, Bin Zhu, Xiaomeng Huang, Xi Wu, Siwei Lyu:
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control. CoRR abs/2210.11262 (2022) - [i62]Hui Guo, Xin Wang, Siwei Lyu:
Detection of Real-time DeepFakes in Video Conferencing with Active Probing and Corneal Reflection. CoRR abs/2210.14153 (2022) - [i61]Na Zhang, Shan Jia, Siwei Lyu, Xin Li:
Fusion-based Few-Shot Morphing Attack Detection and Fingerprinting. CoRR abs/2210.15510 (2022) - [i60]Yan Ju, Shan Jia, Jialing Cai, Haiying Guan, Siwei Lyu:
GLFF: Global and Local Feature Fusion for Face Forgery Detection. CoRR abs/2211.08615 (2022) - 2021
- [j28]Yuezun Li, Ming-Ching Chang, Pu Sun, Honggang Qi, Junyu Dong, Siwei Lyu:
TransRPN: Towards the Transferable Adversarial Perturbations using Region Proposal Networks and Beyond. Comput. Vis. Image Underst. 213: 103302 (2021) - [j27]Jing Hu, Ziwei Luo, Xin Wang, Shanhui Sun, Youbing Yin, Kunlin Cao, Qi Song, Siwei Lyu, Xi Wu:
End-to-end multimodal image registration via reinforcement learning. Medical Image Anal. 68: 101878 (2021) - [j26]Ming-Ching Chang, Lipeng Ke, Honggang Qi, Longyin Wen, Siwei Lyu:
Fast Online Video Pose Estimation by Dynamic Bayesian Modeling of Mode Transitions. IEEE Trans. Cybern. 51(1): 2-15 (2021) - [c125]Zhenhuan Yang, Yunwen Lei, Siwei Lyu, Yiming Ying:
Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss. AISTATS 2021: 2026-2034 - [c124]Shou-Fang Wu, Ming-Ching Chang, Siwei Lyu, Cheng-Shih Wong, Abhineet Kumar Pandey, Po-Chi Su:
FlagDetSeg: Multi-Nation Flag Detection and Segmentation in the Wild. AVSS 2021: 1-8 - [c123]Guangliang Zhao, Abhineet Kumar Pandey, Ming-Ching Chang, Siwei Lyu:
A Video Analytic System for Rail Crossing Point Protection. AVSS 2021: 1-8 - [c122]Yao-Hui Huang, Jun-Wei Hsieh, Ming-Ching Chang, Lipeng Ke, Siwei Lyu, Arpita Samanta Santra:
Multi-Teacher Single-Student Visual Transformer with Multi-Level Attention for Face Spoofing Detection. BMVC 2021: 125 - [c121]Bor-Shiun Wang, Jun-Wei Hsieh, Ping-Yang Chen, Ming-Ching Chang, Lipeng Ke, Siwei Lyu:
Learnable Discrete Wavelet Pooling (LDW-Pooling) for Convolutional Networks. BMVC 2021: 200 - [c120]Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu:
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark. CVPR 2021: 7812-7821 - [c119]Shu Hu, Yuezun Li, Siwei Lyu:
Exposing GAN-Generated Faces Using Inconsistent Corneal Specular Highlights. ICASSP 2021: 2500-2504 - [c118]Bo Peng, Hongxing Fan, Wei Wang, Jing Dong, Yuezun Li, Siwei Lyu, Qi Li, Zhenan Sun, Han Chen, Baoying Chen, Yanjie Hu, Shenghai Luo, Junrui Huang, Yutong Yao, Boyuan Liu, Hefei Ling, Guosheng Zhang, Zhiliang Xu, Changtao Miao, Changlei Lu, Shan He, Xiaoyan Wu, Wanyi Zhuang:
DFGC 2021: A DeepFake Game Competition. IJCB 2021: 1-8 - [c117]Caiyong Wang, Yunlong Wang, Kunbo Zhang, Jawad Muhammad, Tianhao Lu, Qi Zhang, Qichuan Tian, Zhaofeng He, Zhenan Sun, Yiwen Zhang, Tianbao Liu, Wei Yang, Dongliang Wu, Yingfeng Liu, Ruiye Zhou, Huihai Wu, Hao Zhang, Junbao Wang, Jiayi Wang, Wantong Xiong, Xueyu Shi, Shao Zeng, Peihua Li, Haodong Sun, Jing Wang, Jiale Zhang, Qi Wang, Huijie Wu, Xinhui Zhang, Haiqing Li, Yu Chen, Liang Chen, Menghan Zhang, Ye Sun, Zhiyong Zhou, Fadi Boutros, Naser Damer, Arjan Kuijper, Juan E. Tapia, Andres Valenzuela, Christoph Busch, Gourav Gupta, Kiran B. Raja, Xi Wu, Xiaojie Li, Jingfu Yang, Hongyan Jing, Xin Wang, Bin Kong, Youbing Yin, Qi Song, Siwei Lyu, Shu Hu, Leon Premk, Matej Vitek, Vitomir Struc, Peter Peer, Jalil Nourmohammadi-Khiarak, Farhang Jaryani, Samaneh Salehi Nasab, Seyed Naeim Moafinejad, Yasin Amini, Morteza Noshad:
NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization. IJCB 2021: 1-10 - [c116]Shu Hu, Lipeng Ke, Xin Wang, Siwei Lyu:
TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning. ICCV 2021: 7629-7637 - [c115]Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu:
Invisible Backdoor Attack with Sample-Specific Triggers. ICCV 2021: 16443-16452 - [c114]Yingbin Zhou, Anwei Luo, Xiangui Kang, Siwei Lyu:
Face Forgery Detection Based On Segmentation Network. ICIP 2021: 3597-3601 - [c113]Quanyu Liao, Yuezun Li, Xin Wang, Bin Kong, Bin Zhu, Siwei Lyu, Youbing Yin, Qi Song, Xi Wu:
Imperceptible Adversarial Examples For Fake Image Detection. ICIP 2021: 3912-3916 - [c112]Quanyu Liao, Xin Wang, Bin Kong, Siwei Lyu, Bin Zhu, Youbing Yin, Qi Song, Xi Wu:
Transferable Adversarial Examples for Anchor Free Object Detection. ICME 2021: 1-6 - [c111]Ziwei Luo, Jing Hu, Xin Wang, Siwei Lyu, Bin Kong, Youbing Yin, Qi Song, Xi Wu:
Stochastic Actor-Executor-Critic for Image-to-Image Translation. IJCAI 2021: 2775-2781 - [c110]Ian Pradhan, Siwei Lyu:
Understanding Linear Style Transfer Auto-Encoders. MLSP 2021: 1-5 - [c109]Siwei Lyu:
Fighting AI-synthesized Fake Media. ADGD @ ACM Multimedia 2021: 1-2 - [c108]Yuezun Li, Cong Zhang, Pu Sun, Lipeng Ke, Yan Ju, Honggang Qi, Siwei Lyu:
DeepFake-o-meter: An Open Platform for DeepFake Detection. SP (Workshops) 2021: 277-281 - [i59]Pu Sun, Yuezun Li, Honggang Qi, Siwei Lyu:
Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction. CoRR abs/2102.00798 (2021) - [i58]Yuezun Li, Cong Zhang, Pu Sun, Honggang Qi, Siwei Lyu:
DeepFake-o-meter: An Open Platform for DeepFake Detection. CoRR abs/2103.02018 (2021) - [i57]Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu:
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark. CoRR abs/2105.02440 (2021) - [i56]Bo Peng, Hongxing Fan, Wei Wang, Jing Dong, Yuezun Li, Siwei Lyu, Qi Li, Zhenan Sun, Han Chen, Baoying Chen, Yanjie Hu, Shenghai Luo, Junrui Huang, Yutong Yao, Boyuan Liu, Hefei Ling, Guosheng Zhang, Zhiliang Xu, Changtao Miao, Changlei Lu, Shan He, Xiaoyan Wu, Wanyi Zhuang:
DFGC 2021: A DeepFake Game Competition. CoRR abs/2106.01217 (2021) - [i55]Quanyu Liao, Yuezun Li, Xin Wang, Bin Kong, Bin Zhu, Siwei Lyu, Youbing Yin, Qi Song, Xi Wu:
Imperceptible Adversarial Examples for Fake Image Detection. CoRR abs/2106.01615 (2021) - [i54]Quanyu Liao, Xin Wang, Bin Kong, Siwei Lyu, Bin Zhu, Youbing Yin, Qi Song, Xi Wu:
Transferable Adversarial Examples for Anchor Free Object Detection. CoRR abs/2106.01618 (2021) - [i53]Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu:
Sum of Ranked Range Loss for Supervised Learning. CoRR abs/2106.03300 (2021) - [i52]Shu Hu, Lipeng Ke, Xin Wang, Siwei Lyu:
TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning. CoRR abs/2108.00146 (2021) - [i51]Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu:
Eyes Tell All: Irregular Pupil Shapes Reveal GAN-generated Faces. CoRR abs/2109.00162 (2021) - [i50]Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu:
Robust Attentive Deep Neural Network for Exposing GAN-generated Faces. CoRR abs/2109.02167 (2021) - [i49]Jun-Wei Hsieh, Ming-Ching Chang, Bor-Shiun Wang, Ping-Yang Chen, Lipeng Ke, Siwei Lyu:
Learnable Discrete Wavelet Pooling (LDW-Pooling) For Convolutional Networks. CoRR abs/2109.06638 (2021) - [i48]Ehab A. AlBadawy, Andrew Gibiansky, Qing He, Jilong Wu, Ming-Ching Chang, Siwei Lyu:
VocBench: A Neural Vocoder Benchmark for Speech Synthesis. CoRR abs/2112.03099 (2021) - [i47]Ziwei Luo, Jing Hu, Xin Wang, Siwei Lyu, Bin Kong, Youbing Yin, Qi Song, Xi Wu:
Stochastic Actor-Executor-Critic for Image-to-Image Translation. CoRR abs/2112.07403 (2021) - [i46]Ziwei Luo, Jing Hu, Xin Wang, Shu Hu, Bin Kong, Youbing Yin, Qi Song, Xi Wu, Siwei Lyu:
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration. CoRR abs/2112.07415 (2021) - 2020
- [j25]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) - [j24]Longyin Wen, Dawei Du, Zhaowei Cai, Zhen Lei, Ming-Ching Chang, Honggang Qi, Jongwoo Lim, Ming-Hsuan Yang, Siwei Lyu:
UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking. Comput. Vis. Image Underst. 193: 102907 (2020) - [c107]Yi Wei, Wenbo Li, Yanbo Fan, Linghan Xu, Ming-Ching Chang, Siwei Lyu:
3D Single-Person Concurrent Activity Detection Using Stacked Relation Network. AAAI 2020: 12329-12337 - [c106]Yi Wei, Zhe Gan, Wenbo Li, Siwei Lyu, Ming-Ching Chang, Lei Zhang, Jianfeng Gao, Pengchuan Zhang:
MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network. ACCV (4) 2020: 661-678 - [c105]Yuezun Li, Xin Yang, Pu Sun, Honggang Qi, Siwei Lyu:
Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics. CVPR 2020: 3204-3213 - [c104]Ruyi Ji, Dawei Du, Libo Zhang, Longyin Wen, Yanjun Wu, Chen Zhao, Feiyue Huang, Siwei Lyu:
Learning Semantic Neural Tree for Human Parsing. ECCV (13) 2020: 205-221 - [c103]Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng, Siwei Lyu:
Cascade Graph Neural Networks for RGB-D Salient Object Detection. ECCV (12) 2020: 346-364 - [c102]Yuezun Li, Ao Luo, Siwei Lyu:
Fast Portrait Segmentation With Highly Light-Weight Network. ICIP 2020: 1511-1515 - [c101]Siwei Lyu:
Deepfake Detection: Current Challenges and Next Steps. ICME Workshops 2020: 1-6 - [c100]Quanyu Liao, Xin Wang, Bin Kong, Siwei Lyu, Youbing Yin, Qi Song, Xi Wu:
Fast Local Attack: Generating Local Adversarial Examples for Object Detectors. IJCNN 2020: 1-8 - [c99]Ehab A. AlBadawy, Siwei Lyu:
Voice Conversion Using Speech-to-Speech Neuro-Style Transfer. INTERSPEECH 2020: 4726-4730 - [c98]Yi Wei, Wenbo Li, Ming-Ching Chang, Hongxia Jin, Siwei Lyu:
Explainable and Efficient Sequential Correlation Network for 3D Single Person Concurrent Activity Detection. IROS 2020: 8970-8975 - [c97]Yuanqiang Cai, Dawei Du, Libo Zhang, Longyin Wen, Weiqiang Wang, Yanjun Wu, Siwei Lyu:
Guided Attention Network for Object Detection and Counting on Drones. ACM Multimedia 2020: 709-717 - [c96]Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu:
Learning by Minimizing the Sum of Ranked Range. NeurIPS 2020 - [c95]Pu Sun, Yuezun Li, Honggang Qi, Siwei Lyu:
Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction. WIFS 2020: 1-6 - [i45]Xian Zhang, Xin Wang, Bin Kong, Youbing Yin, Qi Song, Siwei Lyu, Jiancheng Lv, Canghong Shi, Xiaojie Li:
Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting. CoRR abs/2002.02909 (2020) - [i44]Quanyu Liao, Xin Wang, Bin Kong, Siwei Lyu, Youbing Yin, Qi Song, Xi Wu:
Category-wise Attack: Transferable Adversarial Examples for Anchor Free Object Detection. CoRR abs/2003.04367 (2020) - [i43]Siwei Lyu:
DeepFake Detection: Current Challenges and Next Steps. CoRR abs/2003.09234 (2020) - [i42]Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng, Siwei Lyu:
Cascade Graph Neural Networks for RGB-D Salient Object Detection. CoRR abs/2008.03087 (2020) - [i41]Shu Hu, Yuezun Li, Siwei Lyu:
Exposing GAN-generated Faces Using Inconsistent Corneal Specular Highlights. CoRR abs/2009.11924 (2020) - [i40]Yi Wei, Zhe Gan, Wenbo Li, Siwei Lyu, Ming-Ching Chang, Lei Zhang, Jianfeng Gao, Pengchuan Zhang:
MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network. CoRR abs/2010.01424 (2020) - [i39]Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu:
Learning by Minimizing the Sum of Ranked Range. CoRR abs/2010.01741 (2020) - [i38]Quanyu Liao, Xin Wang, Bin Kong, Siwei Lyu, Youbing Yin, Qi Song, Xi Wu:
Fast Local Attack: Generating Local Adversarial Examples for Object Detectors. CoRR abs/2010.14291 (2020) - [i37]Pu Sun, Yuezun Li, Honggang Qi, Siwei Lyu:
LandmarkGAN: Synthesizing Faces from Landmarks. CoRR abs/2011.00269 (2020) - [i36]Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu:
Backdoor Attack with Sample-Specific Triggers. CoRR abs/2012.03816 (2020)
2010 – 2019
- 2019
- [j23]Michael Natole, Yiming Ying, Siwei Lyu:
Stochastic AUC Optimization Algorithms With Linear Convergence. Frontiers Appl. Math. Stat. 5: 30 (2019) - [j22]Shifeng Zhang, Longyin Wen, Hailin Shi, Zhen Lei, Siwei Lyu, Stan Z. Li:
Single-Shot Scale-Aware Network for Real-Time Face Detection. Int. J. Comput. Vis. 127(6-7): 537-559 (2019) - [j21]Zhe Xue, Junping Du, Dawei Du, Siwei Lyu:
Deep low-rank subspace ensemble for multi-view clustering. Inf. Sci. 482: 210-227 (2019) - [j20]Xin Wang, Ming-Ching Chang, Lan Wang, Siwei Lyu:
Efficient algorithms for graph regularized PLSA for probabilistic topic modeling. Pattern Recognit. 86: 236-247 (2019) - [j19]Zhe Xue, Junping Du, Dawei Du, Guorong Li, Qingming Huang, Siwei Lyu:
Deep Constrained Low-Rank Subspace Learning for Multi-View Semi-Supervised Classification. IEEE Signal Process. Lett. 26(8): 1177-1181 (2019) - [c94]Dan Liu, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu, Feiyue Huang, Siwei Lyu:
Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently. AAAI 2019: 4344-4351 - [c93]Longyin Wen, Dawei Du, Shengkun Li, Xiao Bian, Siwei Lyu:
Learning Non-Uniform Hypergraph for Multi-Object Tracking. AAAI 2019: 8981-8988 - [c92]Yuezun Li, Longyin Wen, Ming-Ching Chang, Siwei Lyu:
Graph-to-Graph Energy Minimization for Video Object Segmentation. AVSS 2019: 1-8 - [c91]Yuezun Li, Xiao Bian, Ming-Ching Chang, Siwei Lyu:
Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches. BMVC 2019: 218 - [c90]Yuezun Li, Siwei Lyu:
Exposing DeepFake Videos By Detecting Face Warping Artifacts. CVPR Workshops 2019: 46-52 - [c89]Ehab A. AlBadawy, Siwei Lyu, Hany Farid:
Detecting AI-Synthesized Speech Using Bispectral Analysis. CVPR Workshops 2019: 104-109 - [c88]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:
The 2019 AI City Challenge. CVPR Workshops 2019: 452-460 - [c87]Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao:
Object-Driven Text-To-Image Synthesis via Adversarial Training. CVPR 2019: 12174-12182 - [c86]Shuchen Weng, Wenbo Li, Yi Zhang, Siwei Lyu:
Dual-stream CNN for Structured Time Series Classification. ICASSP 2019: 3187-3191 - [c85]Xin Yang, Yuezun Li, Siwei Lyu:
Exposing Deep Fakes Using Inconsistent Head Poses. ICASSP 2019: 8261-8265 - [c84]Yuezun Li, Siwei Lyu:
De-identification Without Losing Faces. IH&MMSec 2019: 83-88 - [c83]Xin Yang, Yuezun Li, Honggang Qi, Siwei Lyu:
Exposing GAN-synthesized Faces Using Landmark Locations. IH&MMSec 2019: 113-118 - [c82]Zhe Xue, Junping Du, Dawei Du, Wenqi Ren, Siwei Lyu:
Deep Correlated Predictive Subspace Learning for Incomplete Multi-View Semi-Supervised Classification. IJCAI 2019: 4026-4032 - [c81]Eric Wu, Bin Kong, Xin Wang, Junjie Bai, Yi Lu, Feng Gao, Shaoting Zhang, Kunlin Cao, Qi Song, Siwei Lyu, Youbing Yin:
Residual Attention Based Network for Hand Bone Age Assessment. ISBI 2019: 1158-1161 - [c80]Chaoyang Xia, Xiaojie Li, Xin Wang, Bin Kong, Yucheng Chen, Youbing Yin, Kunlin Cao, Qi Song, Siwei Lyu, Xi Wu:
A Multi-modality Network for Cardiomyopathy Death Risk Prediction with CMR Images and Clinical Information. MICCAI (2) 2019: 577-585 - [c79]Congcong Li, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu, Qi Tian, Longyin Wen, Siwei Lyu:
Data Priming Network for Automatic Check-Out. ACM Multimedia 2019: 2152-2160 - [e1]Rémi Cogranne, Luisa Verdoliva, Siwei Lyu, Juan Ramón Troncoso-Pastoriza, Xinpeng Zhang:
Proceedings of the ACM Workshop on Information Hiding and Multimedia Security, IH&MMSec 2019, Paris, France, July 3-5, 2019. ACM 2019, ISBN 978-1-4503-6821-6 [contents] - [i35]Eric Wu, Bin Kong, Xin Wang, Junjie Bai, Yi Lu, Feng Gao, Shaoting Zhang, Kunlin Cao, Qi Song, Siwei Lyu, Youbing Yin:
Residual Attention based Network for Hand Bone Age Assessment. CoRR abs/1901.05876 (2019) - [i34]Yuezun Li, Siwei Lyu:
De-identification without losing faces. CoRR abs/1902.04202 (2019) - [i33]Bin Kong, Xin Wang, Junjie Bai, Yi Lu, Feng Gao, Kunlin Cao, Qi Song, Shaoting Zhang, Siwei Lyu, Youbing Yin:
Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding. CoRR abs/1902.10053 (2019) - [i32]Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao:
Object-driven Text-to-Image Synthesis via Adversarial Training. CoRR abs/1902.10740 (2019) - [i31]Xin Yang, Yuezun Li, Honggang Qi, Siwei Lyu:
Exposing GAN-synthesized Faces Using Landmark Locations. CoRR abs/1904.00167 (2019) - [i30]Congcong Li, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu, Qi Tian, Longyin Wen, Siwei Lyu:
Data Priming Network for Automatic Check-Out. CoRR abs/1904.04978 (2019) - [i29]Dan Liu, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu, Feiyue Huang, Siwei Lyu:
Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently. CoRR abs/1906.04634 (2019) - [i28]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) - [i27]Yuanqiang Cai, Dawei Du, Libo Zhang, Longyin Wen, Weiqiang Wang, Yanjun Wu, Siwei Lyu:
Guided Attention Network for Object Detection and Counting on Drones. CoRR abs/1909.11307 (2019) - [i26]Yuezun Li, Xin Yang, Pu Sun, Honggang Qi, Siwei Lyu:
Celeb-DF: A New Dataset for DeepFake Forensics. CoRR abs/1909.12962 (2019) - [i25]Yuezun Li, Ao Luo, Siwei Lyu:
Fast Portrait Segmentation with extremely light-weight network. CoRR abs/1910.08695 (2019) - [i24]Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu:
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network. CoRR abs/1912.01811 (2019) - [i23]Ruyi Ji, Dawei Du, Libo Zhang, Longyin Wen, Yanjun Wu, Chen Zhao, Feiyue Huang, Siwei Lyu:
Learning Semantic Neural Tree for Human Parsing. CoRR abs/1912.09622 (2019) - 2018
- [j18]Hui Zeng, Jingjing Yu, Xiangui Kang, Siwei Lyu:
Countering JPEG anti-forensics based on noise level estimation. Sci. China Inf. Sci. 61(3): 032103:1-032103:14 (2018) - [j17]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) - [j16]Dawei Du, Longyin Wen, Honggang Qi, Qingming Huang, Qi Tian, Siwei Lyu:
Iterative Graph Seeking for Object Tracking. IEEE Trans. Image Process. 27(4): 1809-1821 (2018) - [j15]Longyin Wen, Honggang Qi, Siwei Lyu:
Contrast Enhancement Estimation for Digital Image Forensics. ACM Trans. Multim. Comput. Commun. Appl. 14(2): 49:1-49:21 (2018) - [c78]Wenbo Li, Longyin Wen, Xiao Bian, Siwei Lyu:
Evolvement Constrained Adversarial Learning for Video Style Transfer. ACCV (1) 2018: 232-248 - [c77]Yuezun Li, Xiao Bian, Ming-Ching Chang, Longyin Wen, Siwei Lyu:
Pixel Offset Regression (POR) for Single-shot Instance Segmentation. AVSS 2018: 1-6 - [c76]Siwei Lyu, Ming-Ching Chang, Dawei Du, Wenbo Li, Yi Wei, Marco Del Coco, Pierluigi Carcagnì, Arne Schumann, Bharti Munjal, Dinh-Quoc-Trung Dang, Doo-Hyun Choi, Erik Bochinski, Fabio Galasso, Filiz Bunyak, Guna Seetharaman, Jang-Woon Baek, Jong Taek Lee, Kannappan Palaniappan, Kil-Taek Lim, Kiyoung Moon, Kwang-Ju Kim, Lars Sommer, Meltem Brandlmaier, Minsung Kang, Moongu Jeon, Noor M. Al-Shakarji, Oliver Acatay, Pyong-Kun Kim, Sikandar Amin, Thomas Sikora, Tien Ba Dinh, Tobias Senst, Vu-Gia-Hy Che, Young-Chul Lim, Young-min Song, Yun-Su Chung:
UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring. AVSS 2018: 1-6 - [c75]Yuezun Li, Daniel Tian, Ming-Ching Chang, Xiao Bian, Siwei Lyu:
Robust Adversarial Perturbation on Deep Proposal-based Models. BMVC 2018: 231 - [c74]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:
The 2018 NVIDIA AI City Challenge. CVPR Workshops 2018: 53-60 - [c73]Ming-Ching Chang, Yi Wei, Nenghui Song, Siwei Lyu:
Video Analytics in Smart Transportation for the AIC'18 Challenge. CVPR Workshops 2018: 61-68 - [c72]Baoyuan Wu, Weidong Chen, Peng Sun, Wei Liu, Bernard Ghanem, Siwei Lyu:
Tagging Like Humans: Diverse and Distinct Image Annotation. CVPR 2018: 7967-7975 - [c71]Lipeng Ke, Ming-Ching Chang, Honggang Qi, Siwei Lyu:
Multi-Scale Structure-Aware Network for Human Pose Estimation. ECCV (2) 2018: 731-746 - [c70]Lipeng Ke, Honggang Qi, Ming-Ching Chang, Siwei Lyu:
Multi-Scale Supervised Network for Human Pose Estimation. ICIP 2018: 564-568 - [c69]Michael Natole, Yiming Ying, Siwei Lyu:
Stochastic Proximal Algorithms for AUC Maximization. ICML 2018: 3707-3716 - [c68]Yi Wei, Ming-Ching Chang, Yiming Ying, Ser Nam Lim, Siwei Lyu:
Explain Black-box Image Classifications Using Superpixel-based Interpretation. ICPR 2018: 1640-1645 - [c67]Cong Zhang, Dawei Du, Lipeng Ke, Honggang Qi, Siwei Lyu:
Global Contrast Enhancement Detection via Deep Multi-Path Network. ICPR 2018: 2815-2820 - [c66]Shuai Li, Siwei Lyu, Jeff Trinkle:
Efficient State Estimation with Constrained Rao-Blackwellized Particle Filter. IROS 2018: 6682-6689 - [c65]Siwei Lyu, Yiming Ying:
A Univariate Bound of Area Under ROC. UAI 2018: 43-52 - [c64]Yuezun Li, Ming-Ching Chang, Siwei Lyu:
In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking. WIFS 2018: 1-7 - [i22]Lipeng Ke, Ming-Ching Chang, Honggang Qi, Siwei Lyu:
Multi-Scale Structure-Aware Network for Human Pose Estimation. CoRR abs/1803.09894 (2018) - [i21]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) - [i20]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) - [i19]Siwei Lyu:
A Univariate Bound of Area Under ROC. CoRR abs/1804.05981 (2018) - [i18]Shuchen Weng, Wenbo Li, Yi Zhang, Siwei Lyu:
STS Classification with Dual-stream CNN. CoRR abs/1805.07740 (2018) - [i17]Yuezun Li, Ming-Ching Chang, Siwei Lyu:
In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking. CoRR abs/1806.02877 (2018) - [i16]Wenbo Li, Ming-Ching Chang, Siwei Lyu:
Who did What at Where and When: Simultaneous Multi-Person Tracking and Activity Recognition. CoRR abs/1807.01253 (2018) - [i15]Lipeng Ke, Ming-Ching Chang, Honggang Qi, Siwei Lyu:
Multi-Scale Supervised Network for Human Pose Estimation. CoRR abs/1808.01623 (2018) - [i14]Yuezun Li, Daniel Tian, Ming-Ching Chang, Xiao Bian, Siwei Lyu:
Robust Adversarial Perturbation on Deep Proposal-based Models. CoRR abs/1809.05962 (2018) - [i13]Yuezun Li, Xian Bian, Siwei Lyu:
Attacking Object Detectors via Imperceptible Patches on Background. CoRR abs/1809.05966 (2018) - [i12]Yuezun Li, Siwei Lyu:
Exposing DeepFake Videos By Detecting Face Warping Artifacts. CoRR abs/1811.00656 (2018) - [i11]Xin Yang, Yuezun Li, Siwei Lyu:
Exposing Deep Fakes Using Inconsistent Head Poses. CoRR abs/1811.00661 (2018) - [i10]Wenbo Li, Longyin Wen, Xiao Bian, Siwei Lyu:
Evolvement Constrained Adversarial Learning for Video Style Transfer. CoRR abs/1811.02476 (2018) - [i9]Longyin Wen, Dawei Du, Shengkun Li, Xiao Bian, Siwei Lyu:
Learning Non-Uniform Hypergraph for Multi-Object Tracking. CoRR abs/1812.03621 (2018) - 2017
- [j14]Longyin Wen, Zhen Lei, Ming-Ching Chang, Honggang Qi, Siwei Lyu:
Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph. Int. J. Comput. Vis. 122(2): 313-333 (2017) - [j13]Dawei Du, Honggang Qi, Longyin Wen, Qi Tian, Qingming Huang, Siwei Lyu:
Geometric Hypergraph Learning for Visual Tracking. IEEE Trans. Cybern. 47(12): 4182-4195 (2017) - [c63]Yang Yang, Longyin Wen, Siwei Lyu, Stan Z. Li:
Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification. AAAI 2017: 4306-4312 - [c62]Siwei Lyu, Ming-Ching Chang, Dawei Du, Longyin Wen, Honggang Qi, Yuezun Li, Yi Wei, Lipeng Ke, Tao Hu, Marco Del Coco, Pierluigi Carcagnì, Dmitriy Anisimov, Erik Bochinski, Fabio Galasso, Filiz Bunyak, Guang Han, Hao Ye, Hong Wang, Kannappan Palaniappan, Koray Ozcan, Li Wang, Liang Wang, Martin Lauer, Nattachai Watcharapinchai, Nenghui Song, Noor M. Al-Shakarji, Shuo Wang, Sikandar Amin, Sitapa Rujikietgumjorn, Tatiana Khanova, Thomas Sikora, Tino Kutschbach, Volker Eiselein, Wei Tian, Xiangyang Xue, Xiaoyi Yu, Yao Lu, Yingbin Zheng, Yongzhen Huang, Yuqi Zhang:
UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring. AVSS 2017: 1-7 - [c61]Wenbo Li, Longyin Wen, Ming-Ching Chang, Ser Nam Lim, Siwei Lyu:
Adaptive RNN Tree for Large-Scale Human Action Recognition. ICCV 2017: 1453-1461 - [c60]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 B. 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:
The Visual Object Tracking VOT2017 Challenge Results. ICCV Workshops 2017: 1949-1972 - [c59]Shengkun Li, Dawei Du, Longyin Wen, Ming-Ching Chang, Siwei Lyu:
Hybrid structure hypergraph for online deformable object tracking. ICIP 2017: 1127-1131 - [c58]Andrew Pulver, Siwei Lyu:
LSTM with working memory. IJCNN 2017: 845-851 - [c57]Yanbo Fan, Siwei Lyu, Yiming Ying, Bao-Gang Hu:
Learning with Average Top-k Loss. NIPS 2017: 497-505 - [c56]Milind Naphade, David C. Anastasiu, Anuj Sharma, Vamsi Jagrlamudi, Hyeran Jeon, Kaikai Liu, Ming-Ching Chang, Siwei Lyu, Jerry Zeyu Gao:
The NVIDIA AI City Challenge. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - [c55]Yi Wei, Nenghui Song, Lipeng Ke, Ming-Ching Chang, Siwei Lyu:
Street object detection / tracking for AI city traffic analysis. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-5 - [i8]Yanbo Fan, Jian Liang, Ran He, Bao-Gang Hu, Siwei Lyu:
Robust Localized Multi-view Subspace Clustering. CoRR abs/1705.07777 (2017) - [i7]Yanbo Fan, Siwei Lyu, Yiming Ying, Bao-Gang Hu:
Learning with Average Top-k Loss. CoRR abs/1705.08826 (2017) - [i6]Longyin Wen, Honggang Qi, Siwei Lyu:
Contrast Enhancement Estimation for Digital Image Forensics. CoRR abs/1706.03875 (2017) - 2016
- [j12]Longyin Wen, Zhen Lei, Siwei Lyu, Stan Z. Li, Ming-Hsuan Yang:
Exploiting Hierarchical Dense Structures on Hypergraphs for Multi-Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 38(10): 1983-1996 (2016) - [j11]Dawei Du, Honggang Qi, Wenbo Li, Longyin Wen, Qingming Huang, Siwei Lyu:
Online Deformable Object Tracking Based on Structure-Aware Hyper-Graph. IEEE Trans. Image Process. 25(8): 3572-3584 (2016) - [j10]Yan Kong, Weiming Dong, Xing Mei, Chongyang Ma, Tong-Yee Lee, Siwei Lyu, Feiyue Huang, Xiaopeng Zhang:
Measuring and Predicting Visual Importance of Similar Objects. IEEE Trans. Vis. Comput. Graph. 22(12): 2564-2578 (2016) - [c54]Xin Wang, Ming-Ching Chang, Yiming Ying, Siwei Lyu:
Co-Regularized PLSA for Multi-Modal Learning. AAAI 2016: 2166-2172 - [c53]Baoyuan Wu, Siwei Lyu, Bernard Ghanem:
Constrained Submodular Minimization for Missing Labels and Class Imbalance in Multi-label Learning. AAAI 2016: 2229-2236 - [c52]Martin Boissier, Siwei Lyu, Yiming Ying, Ding-Xuan Zhou:
Fast Convergence of Online Pairwise Learning Algorithms. AISTATS 2016: 204-212 - [c51]Yueming Yang, Ming-Ching Chang, Longyin Wen, Peter H. Tu, Honggang Qi, Siwei Lyu:
Efficient large-scale photometric reconstruction using Divide-Recon-Fuse 3D Structure from Motion. AVSS 2016: 180-186 - [c50]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:
The Visual Object Tracking VOT2016 Challenge Results. ECCV Workshops (2) 2016: 777-823 - [c49]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:
The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results. ECCV Workshops (2) 2016: 824-849 - [c48]Yiming Ying, Longyin Wen, Siwei Lyu:
Stochastic Online AUC Maximization. NIPS 2016: 451-459 - [i5]Dawei Du, Honggang Qi, Longyin Wen, Qi Tian, Qingming Huang, Siwei Lyu:
Geometric Hypergraph Learning for Visual Tracking. CoRR abs/1603.05930 (2016) - [i4]Andrew Pulver, Siwei Lyu:
LSTM with Working Memory. CoRR abs/1605.01988 (2016) - 2015
- [j9]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) - [c47]Ming-Ching Chang, Honggang Qi, Xin Wang, Hong Cheng, Siwei Lyu:
Fast Online Upper Body Pose Estimation from Video. BMVC 2015: 104.1-104.12 - [c46]Xing Mei, Weiming Dong, Bao-Gang Hu, Siwei Lyu:
UniHIST: A unified framework for image restoration with marginal histogram constraints. CVPR 2015: 3753-3761 - [c45]Amanda S. Danko, Siwei Lyu:
Fused methods for visual saliency estimation. Image Processing: Machine Vision Applications 2015: 94050Z - [c44]Yelin Kim, Jixu Chen, Ming-Ching Chang, Xin Wang, Emily Mower Provost, Siwei Lyu:
Modeling transition patterns between events for temporal human action segmentation and classification. FG 2015: 1-8 - [c43]Amanda S. Danko, Siwei Lyu:
Better together: Fusing visual saliency methods for retrieving perceptually-similar images. ICCE 2015: 507-508 - [c42]Xing Mei, Honggang Qi, Bao-Gang Hu, Siwei Lyu:
Improving Image Restoration with Soft-Rounding. ICCV 2015: 459-467 - [c41]Baoyuan Wu, Siwei Lyu, Bernard Ghanem:
ML-MG: Multi-label Learning with Missing Labels Using a Mixed Graph. ICCV 2015: 4157-4165 - [c40]Wenbo Li, Longyin Wen, Mooi Choo Chuah, Siwei Lyu:
Category-Blind Human Action Recognition: A Practical Recognition System. ICCV 2015: 4444-4452 - [c39]Yueming Yang, Ming-Ching Chang, Peter H. Tu, Siwei Lyu:
Seeing as it happens: Real time 3D video event visualization. ICIP 2015: 2875-2879 - [c38]Shuai Li, Siwei Lyu, Jeff Trinkle:
State estimation for dynamic systems with intermittent contact. ICRA 2015: 3709-3715 - [c37]Shuai Li, Siwei Lyu, Jeff Trinkle, Wolfram Burgard:
A comparative study of contact models for contact-aware state estimation. IROS 2015: 5059-5064 - [i3]Xing Mei, Honggang Qi, Bao-Gang Hu, Siwei Lyu:
Improving Image Restoration with Soft-Rounding. CoRR abs/1508.05046 (2015) - [i2]Longyin Wen, Dawei Du, Zhaowei Cai, Zhen Lei, Ming-Ching Chang, Honggang Qi, Jongwoo Lim, Ming-Hsuan Yang, Siwei Lyu:
DETRAC: A New Benchmark and Protocol for Multi-Object Tracking. CoRR abs/1511.04136 (2015) - 2014
- [j8]Siwei Lyu, Xunyu Pan, Xing Zhang:
Exposing Region Splicing Forgeries with Blind Local Noise Estimation. Int. J. Comput. Vis. 110(2): 202-221 (2014) - [c36]Xing Zhang, Siwei Lyu:
Using Projection Kurtosis Concentration of Natural Images for Blind Noise Covariance Matrix Estimation. CVPR 2014: 2870-2876 - [c35]Xing Zhang, Siwei Lyu:
Variational EM Learning of DSBNs with Conditional Deep Boltzmann Machines. ICANN 2014: 257-264 - [c34]Xing Zhang, Siwei Lyu:
Blind estimation of pixel brightness transform. ICIP 2014: 4472-4476 - [c33]Xing Mei, Bao-Gang Hu, Siwei Lyu:
Non-blind image restoration with symmetric generalized Pareto priors. ICIP 2014: 4477-4481 - [c32]Weiyi Sun, Jianwei Zhang, Hui Jin, Siwei Lyu:
Analyzing Online Knowledge-Building Discourse Using Probabilistic Topic Models. ICLS 2014 - 2013
- [c31]Siwei Lyu:
An upper-bound on second-order dependency. ChinaSIP 2013: 16-19 - [c30]Siwei Lyu:
Bayesian supervised learning with non-Gaussian latent variables. ChinaSIP 2013: 659-663 - [c29]Baoyuan Wu, Siwei Lyu, Bao-Gang Hu, Qiang Ji:
Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos. ICCV 2013: 2856-2863 - [c28]Li Zhang, Siwei Lyu, Jeff Trinkle:
A dynamic Bayesian approach to real-time estimation and filtering in grasp acquisition. ICRA 2013: 85-92 - [c27]Zuoguan Wang, Siwei Lyu, Gerwin Schalk, Qiang Ji:
Deep Feature Learning Using Target Priors with Applications in ECoG Signal Decoding for BCI. IJCAI 2013: 1785-1791 - [c26]Siwei Lyu, Xin Wang:
On Algorithms for Sparse Multi-factor NMF. NIPS 2013: 602-610 - 2012
- [c25]Jixu Chen, Xiaoming Liu, Siwei Lyu:
Boosting with Side Information. ACCV (1) 2012: 563-577 - [c24]Xunyu Pan, Xing Zhang, Siwei Lyu:
Detecting splicing in digital audios using local noise level estimation. ICASSP 2012: 1841-1844 - [c23]Xunyu Pan, Xing Zhang, Siwei Lyu:
Exposing image splicing with inconsistent local noise variances. ICCP 2012: 1-10 - [c22]Xunyu Pan, Xing Zhang, Siwei Lyu:
Blind local noise estimation for medical images reconstructed from rapid acquisition. Image Processing 2012: 83143R - [c21]Zuoguan Wang, Siwei Lyu, Gerwin Schalk, Qiang Ji:
Learning with Target Prior. NIPS 2012: 2240-2248 - [i1]Siwei Lyu:
Interpretation and Generalization of Score Matching. CoRR abs/1205.2629 (2012) - 2011
- [j7]Siwei Lyu:
Dependency Reduction with Divisive Normalization: Justification and Effectiveness. Neural Comput. 23(11): 2942-2973 (2011) - [c20]Xunyu Pan, Xing Zhang, Siwei Lyu:
Exposing image forgery with blind noise estimation. MM&Sec 2011: 15-20 - [c19]Siwei Lyu:
Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction. NIPS 2011: 64-72 - 2010
- [j6]Xunyu Pan, Siwei Lyu:
Region Duplication Detection Using Image Feature Matching. IEEE Trans. Inf. Forensics Secur. 5(4): 857-867 (2010) - [c18]Xunyu Pan, Siwei Lyu:
Detecting image region duplication using SIFT features. ICASSP 2010: 1706-1709 - [c17]Siwei Lyu:
Nonnegative matrix factorization with matrix exponentiation. ICASSP 2010: 2038-2041 - [c16]Siwei Lyu:
Estimating vignetting function from a single image for image authentication. MM&Sec 2010: 3-12 - [c15]Siwei Lyu:
Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform. NIPS 2010: 1522-1530
2000 – 2009
- 2009
- [j5]Siwei Lyu, Eero P. Simoncelli:
Nonlinear Extraction of Independent Components of Natural Images Using Radial Gaussianization. Neural Comput. 21(6): 1485-1519 (2009) - [j4]Siwei Lyu, Eero P. Simoncelli:
Modeling Multiscale Subbands of Photographic Images with Fields of Gaussian Scale Mixtures. IEEE Trans. Pattern Anal. Mach. Intell. 31(4): 693-706 (2009) - [c14]Siwei Lyu:
An implicit Markov random field model for the multi-scale oriented representations of natural images. CVPR 2009: 1919-1925 - [c13]Siwei Lyu:
Interpretation and Generalization of Score Matching. UAI 2009: 359-366 - 2008
- [b1]Siwei Lyu:
Natural image statistics in digital image forensics. Dartmouth College, 2008, ISBN 978-3-8364-5553-4, pp. 1-102 - [c12]Siwei Lyu, Eero P. Simoncelli:
Nonlinear image representation using divisive normalization. CVPR 2008 - [c11]Siwei Lyu, Eero P. Simoncelli:
Reducing statistical dependencies in natural signals using radial Gaussianization. NIPS 2008: 1009-1016 - 2007
- [c10]Siwei Lyu, Eero P. Simoncelli:
Statistically and perceptually motivated nonlinear image representation. Human Vision and Electronic Imaging 2007: 649207 - 2006
- [j3]Siwei Lyu, Hany Farid:
Steganalysis using higher-order image statistics. IEEE Trans. Inf. Forensics Secur. 1(1): 111-119 (2006) - [c9]Siwei Lyu, Eero P. Simoncelli:
Statistical Modeling of Images with Fields of Gaussian Scale Mixtures. NIPS 2006: 945-952 - 2005
- [j2]Siwei Lyu, Hany Farid:
How realistic is photorealistic? IEEE Trans. Signal Process. 53(2-2): 845-850 (2005) - [c8]Siwei Lyu:
Mercer Kernels for Object Recognition with Local Features. CVPR (2) 2005: 223-229 - [c7]Siwei Lyu:
Infomax Boosting. CVPR (1) 2005: 533-538 - [c6]Siwei Lyu:
A Kernel Between Unordered Sets of Data: The Gaussian Mixture Approach. ECML 2005: 255-267 - [c5]Siwei Lyu:
Automatic image orientation determination with natural image statistics. ACM Multimedia 2005: 491-494 - [c4]Micah K. Johnson, Siwei Lyu, Hany Farid:
Steganalysis of recorded speech. Security, Steganography, and Watermarking of Multimedia Contents 2005: 664-672 - 2004
- [j1]Siwei Lyu, Daniel N. Rockmore, Hany Farid:
A digital technique for art authentication. Proc. Natl. Acad. Sci. USA 101(49): 17006-17010 (2004) - [c3]Siwei Lyu, Hany Farid:
Steganalysis using color wavelet statistics and one-class support vector machines. Security, Steganography, and Watermarking of Multimedia Contents 2004: 35-45 - 2003
- [c2]Hany Farid, Siwei Lyu:
Higher-order Wavelet Statistics and their Application to Digital Forensics. CVPR Workshops 2003: 94 - 2002
- [c1]Siwei Lyu, Hany Farid:
Detecting Hidden Messages Using Higher-Order Statistics and Support Vector Machines. Information Hiding 2002: 340-354
Coauthor Index
[c149] [j38] [j37] [j30] [c139] [c137] [c136] [c135] [c128] [i71] [i69] [i67] [j28] [j26] [c124] [c123] [c122] [c121] [i51] [i50] [i49] [i48] [j24] [c107] [c106] [c98] [i40] [j20] [c92] [c91] [c88] [c77] [c76] [c75] [c74] [c73] [c71] [c70] [c68] [c64] [i22] [i17] [i16] [i15] [i14] [j14] [c62] [c61] [c59] [c56] [c55] [c54] [c51] [c47] [c44] [c39] [i2]
[j47] [j46] [j45] [j44] [c163] [i96] [j39] [c147] [c146] [i85] [i84] [i83] [j33] [j32] [c133] [p2] [j28] [c119] [c118] [c115] [c113] [c108] [i59] [i58] [i56] [i55] [c105] [c102] [c95] [i41] [i37] [i36] [c92] [c91] [c90] [c85] [c84] [c83] [i34] [i31] [i28] [i26] [i25] [c77] [c75] [c64] [i17] [i14] [i13] [i12] [i11] [c62]
[j42] [j41] [c155] [c152] [c149] [c148] [c145] [c144] [i93] [i89] [i81] [i80] [i79] [i78] [i75] [j38] [j36] [j34] [j33] [c140] [c136] [c129] [c128] [i71] [i67] [i65] [i63] [i62] [j27] [c117] [c116] [c113] [c112] [c111] [i55] [i54] [i53] [i52] [i51] [i50] [i47] [i46] [c100] [c96] [i45] [i44] [i39] [i38] [j20] [c81] [c80] [i35] [i33] [c54] [c47] [c44] [c26]
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