Lu, Yao

74 publications

NeurIPS 2025 A Set of Generalized Components to Achieve Effective Poison-Only Clean-Label Backdoor Attacks with Collaborative Sample Selection and Triggers Zhixiao Wu, Yao Lu, Jie Wen, Hao Sun, Qi Zhou, Guangming Lu

AAAI 2025 ALRMR-GEC: Adjusting Learning Rate Based on Memory Rate to Optimize the Edit Scorer for Grammatical Error Correction Zhixiao Wu, Yao Lu, Jie Wen, Guangming Lu

NeurIPS 2025 ArchPower: Dataset for Architecture-Level Power Modeling of Modern CPU Design Qijun Zhang, Yao Lu, Mengming Li, Shang Liu, Zhiyao Xie

TMLR 2025 AutoAnnotator: A Collaborative Annotation Framework for Large and Small Language Models Yao Lu, Ji Zhaiyuan, Jiawei Du, Yu Shanqing, Qi Xuan, Joey Tianyi Zhou

NeurIPS 2025 Benford’s Curse: Tracing Digit Bias to Numerical Hallucination in LLMs Jiandong Shao, Yao Lu, Jianfei Yang

ICLR 2025 COAT: Compressing Optimizer States and Activations for Memory-Efficient FP8 Training Haocheng Xi, Han Cai, Ligeng Zhu, Yao Lu, Kurt Keutzer, Jianfei Chen, Song Han

CVPR 2025 CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models Qingqing Zhao, Yao Lu, Moo Jin Kim, Zipeng Fu, Zhuoyang Zhang, Yecheng Wu, Zhaoshuo Li, Qianli Ma, Song Han, Chelsea Finn, Ankur Handa, Tsung-Yi Lin, Gordon Wetzstein, Ming-Yu Liu, Donglai Xiang

ICCV 2025 DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer Yecheng Wu, Han Cai, Junyu Chen, Zhuoyang Zhang, Enze Xie, Jincheng Yu, Junsong Chen, Jinyi Hu, Yao Lu, Song Han

ICML 2025 Efficient and Separate Authentication Image Steganography Network Junchao Zhou, Yao Lu, Jie Wen, Guangming Lu

NeurIPS 2025 Federated Dialogue-Semantic Diffusion for Emotion Recognition Under Incomplete Modalities Xihang Qiu, Jiarong Cheng, Yuhao Fang, Wanpeng Zhang, Yao Lu, Ye Zhang, Chun Li

ICLR 2025 HART: Efficient Visual Generation with Hybrid Autoregressive Transformer Haotian Tang, Yecheng Wu, Shang Yang, Enze Xie, Junsong Chen, Junyu Chen, Zhuoyang Zhang, Han Cai, Yao Lu, Song Han

ICLR 2025 LongVILA: Scaling Long-Context Visual Language Models for Long Videos Yukang Chen, Fuzhao Xue, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Yihui He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han

CVPRW 2025 NTIRE 2025 Challenge on Light Field Image Super-Resolution: Methods and Results Yingqian Wang, Zhengyu Liang, Fengyuan Zhang, Lvli Tian, Longguang Wang, Juncheng Li, Jungang Yang, Radu Timofte, Yulan Guo, Kai Jin, Zeqiang Wei, Angulia Yang, Di Wu, Mingzhi Gao, Xiuzhuang Zhou, Yue Yan, Yuaho Wang, Shuang Chen, Zeping Tian, Yizhi Hu, Yao Lu, Haosong Liu, Xiancheng Zhu, Huanqiang Zeng, Jianqing Zhu, Yifan Shi, Junhui Hou, Mingyang Yu, Zhijian Wu, Dingjiang Huang, Wenli Zheng, Zekai Xu, Huiyuan Fu, Heng Zhang, Zhijuan Huang, Hongyuan Yu, Zeke Zexi Hu, Haodong Chen, Vera Yuk Ying Chung, Xiaoming Chen, Zean Chen, Yeyao Chen, Gangyi Jiang, Haiyong Xu, Ting Luo, Guanglong Liao, Danhao Zhang, Siyu Zhang, Wendong Mao, Zhongfeng Wang, Sunita Arya, Abhishek Kumar Sinha, S. Manthira Moorthi, Hao Zhang, Hao Sheng, Da Yang, Zhenglong Cui, Shuai Wang, Haotian Zhang, Xingzheng Wang, Yuanbo Huang, Jiahao Lin, Yuhang Lin, Ahmed Salem, Ebrahem Elkady, Hatem Ibrahem, Jae-Won Suh, Hyun-Soo Kang, Changguang Wu, Hao Hou, Pengpeng Li, Peng Huang, Jiangxin Dong, Jinhui Tang

CVPR 2025 NVILA: Efficient Frontier Visual Language Models Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Haotian Tang, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Jinyi Hu, Sifei Liu, Ranjay Krishna, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu

NeurIPS 2025 Proper Hölder-Kullback Dirichlet Diffusion: A Framework for High Dimensional Generative Modeling Wanpeng Zhang, Yuhao Fang, Xihang Qiu, Jiarong Cheng, Jialong Hong, Bin Zhai, Qing Zhou, Yao Lu, Ye Zhang, Chun Li

CVPR 2025 RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models Greg Heinrich, Mike Ranzinger, Hongxu Yin, Yao Lu, Jan Kautz, Andrew Tao, Bryan Catanzaro, Pavlo Molchanov

ICLR 2025 SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers Enze Xie, Junsong Chen, Junyu Chen, Han Cai, Haotian Tang, Yujun Lin, Zhekai Zhang, Muyang Li, Ligeng Zhu, Yao Lu, Song Han

ICML 2025 SSHR: More Secure Generative Steganography with High-Quality Revealed Secret Images Jiannian Wang, Yao Lu, Guangming Lu

NeurIPS 2025 Scaling RL to Long Videos Yukang Chen, Wei Huang, Baifeng Shi, Qinghao Hu, Hanrong Ye, Ligeng Zhu, Zhijian Liu, Pavlo Molchanov, Jan Kautz, Xiaojuan Qi, Sifei Liu, Hongxu Yin, Yao Lu, Song Han

CVPR 2025 Scaling Vision Pre-Training to 4k Resolution Baifeng Shi, Boyi Li, Han Cai, Yao Lu, Sifei Liu, Marco Pavone, Jan Kautz, Song Han, Trevor Darrell, Pavlo Molchanov, Hongxu Yin

ICCV 2025 SparseVILA: Decoupling Visual Sparsity for Efficient VLM Inference Samir Khaki, Junxian Guo, Jiaming Tang, Shang Yang, Yukang Chen, Konstantinos N. Plataniotis, Yao Lu, Song Han, Zhijian Liu

CVPR 2025 VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge Vishwesh Nath, Wenqi Li, Dong Yang, Andriy Myronenko, Mingxin Zheng, Yao Lu, Zhijian Liu, Hongxu Yin, Yee Man Law, Yucheng Tang, Pengfei Guo, Can Zhao, Ziyue Xu, Yufan He, Stephanie Harmon, Benjamin Simon, Greg Heinrich, Stephen Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu

ICLR 2025 VILA-U: A Unified Foundation Model Integrating Visual Understanding and Generation Yecheng Wu, Zhuoyang Zhang, Junyu Chen, Haotian Tang, Dacheng Li, Yunhao Fang, Ligeng Zhu, Enze Xie, Hongxu Yin, Li Yi, Song Han, Yao Lu

TMLR 2025 Wolf: Dense Video Captioning with a World Summarization Framework Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Linxi Fan, Yuke Zhu, Jan Kautz, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone

NeurIPS 2025 WorldModelBench: Judging Video Generation Models as World Models Dacheng Li, Yunhao Fang, Yukang Chen, Shuo Yang, Shiyi Cao, Justin Wong, Michael Luo, Xiaolong Wang, Hongxu Yin, Joseph E. Gonzalez, Ion Stoica, Song Han, Yao Lu

CVPRW 2024 Exploring the Impact of Dataset Bias on Dataset Distillation Yao Lu, Jianyang Gu, Xuguang Chen, Saeed Vahidian, Qi Xuan

IJCAI 2024 Implicit Prompt Learning for Image Denoising Yao Lu, Bo Jiang, Guangming Lu, Bob Zhang

CVPRW 2024 NTIRE 2024 Challenge on Light Field Image Super-Resolution: Methods and Results Yingqian Wang, Zhengyu Liang, Qianyu Chen, Longguang Wang, Jungang Yang, Radu Timofte, Yulan Guo, Wentao Chao, Yiming Kan, Xuechun Wang, Fuqing Duan, Guanghui Wang, Wang Xia, Ziqi Wang, Yue Yan, Peiqi Xia, Shunzhou Wang, Yao Lu, Angulia Yang, Kai Jin, Zeqiang Wei, Sha Guo, Mingzhi Gao, Xiuzhuang Zhou, Zhongxin Yu, Shaofei Luo, Cheng Zhong, Shaorui Chen, Long Peng, Yuhong He, Gaosheng Liu, Huanjing Yue, Jingyu Yang, Zhengjian Yao, Jiakui Hu, Lujia Jin, Zhi-Song Liu, Chenhang He, Jun Xiao, Xiuyuan Wang, Zonglin Tian, Yifan Mao, Deyang Liu, Shizheng Li, Ping An

IJCAI 2024 QFormer: An Efficient Quaternion Transformer for Image Denoising Bo Jiang, Yao Lu, Guangming Lu, Bob Zhang

ICLR 2024 RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches Jiayuan Gu, Sean Kirmani, Paul Wohlhart, Yao Lu, Montserrat Gonzalez Arenas, Kanishka Rao, Wenhao Yu, Chuyuan Fu, Keerthana Gopalakrishnan, Zhuo Xu, Priya Sundaresan, Peng Xu, Hao Su, Karol Hausman, Chelsea Finn, Quan Vuong, Ted Xiao

NeurIPS 2024 UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis Yulong Hui, Yao Lu, Huanchen Zhang

NeurIPSW 2024 Wolf: Captioning Everything with a World Summarization Framework Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone

NeurIPS 2023 Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter

ICML 2023 Jump-Start Reinforcement Learning Ikechukwu Uchendu, Ted Xiao, Yao Lu, Banghua Zhu, Mengyuan Yan, Joséphine Simon, Matthew Bennice, Chuyuan Fu, Cong Ma, Jiantao Jiao, Sergey Levine, Karol Hausman

NeurIPSW 2023 Learning Sequence Attractors in Hopfield Networks with Hidden Neurons Yao Lu, Si Wu

CVPRW 2023 NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results Yingqian Wang, Longguang Wang, Zhengyu Liang, Jungang Yang, Radu Timofte, Yulan Guo, Kai Jin, Zeqiang Wei, Angulia Yang, Sha Guo, Mingzhi Gao, Xiuzhuang Zhou, Vinh Van Duong, Thuc Nguyen Huu, Jonghoon Yim, Byeungwoo Jeon, Yutong Liu, Zhen Cheng, Zeyu Xiao, Ruikang Xu, Zhiwei Xiong, Gaosheng Liu, Manchang Jin, Huanjing Yue, Jingyu Yang, Chen Gao, Shuo Zhang, Song Chang, Youfang Lin, Wentao Chao, Xuechun Wang, Guanghui Wang, Fuqing Duan, Wang Xia, Yan Wang, Peiqi Xia, Shunzhou Wang, Yao Lu, Ruixuan Cong, Hao Sheng, Da Yang, Rongshan Chen, Sizhe Wang, Zhenglong Cui, Yilei Chen, Yongjie Lu, Dongjun Cai, Ping An, Ahmed Salem, Hatem Ibrahem, Bilel Yagoub, Hyun Soo Kang, Zekai Zeng, Heng Wu

CoRL 2023 Open-World Object Manipulation Using Pre-Trained Vision-Language Models Austin Stone, Ted Xiao, Yao Lu, Keerthana Gopalakrishnan, Kuang-Huei Lee, Quan Vuong, Paul Wohlhart, Sean Kirmani, Brianna Zitkovich, Fei Xia, Chelsea Finn, Karol Hausman

CoRL 2023 Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions Yevgen Chebotar, Quan Vuong, Karol Hausman, Fei Xia, Yao Lu, Alex Irpan, Aviral Kumar, Tianhe Yu, Alexander Herzog, Karl Pertsch, Keerthana Gopalakrishnan, Julian Ibarz, Ofir Nachum, Sumedh Anand Sontakke, Grecia Salazar, Huong T. Tran, Jodilyn Peralta, Clayton Tan, Deeksha Manjunath, Jaspiar Singh, Brianna Zitkovich, Tomas Jackson, Kanishka Rao, Chelsea Finn, Sergey Levine

CoRL 2023 RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control Brianna Zitkovich, Tianhe Yu, Sichun Xu, Peng Xu, Ted Xiao, Fei Xia, Jialin Wu, Paul Wohlhart, Stefan Welker, Ayzaan Wahid, Quan Vuong, Vincent Vanhoucke, Huong Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R. Sanketi, Grecia Salazar, Michael S. Ryoo, Krista Reymann, Kanishka Rao, Karl Pertsch, Igor Mordatch, Henryk Michalewski, Yao Lu, Sergey Levine, Lisa Lee, Tsang-Wei Edward Lee, Isabel Leal, Yuheng Kuang, Dmitry Kalashnikov, Ryan Julian, Nikhil J. Joshi, Alex Irpan, Brian Ichter, Jasmine Hsu, Alexander Herzog, Karol Hausman, Keerthana Gopalakrishnan, Chuyuan Fu, Pete Florence, Chelsea Finn, Kumar Avinava Dubey, Danny Driess, Tianli Ding, Krzysztof Marcin Choromanski, Xi Chen, Yevgen Chebotar, Justice Carbajal, Noah Brown, Anthony Brohan, Montserrat Gonzalez Arenas, Kehang Han

NeurIPSW 2023 RoboVQA: Multimodal Long-Horizon Reasoningfor Robotics Pierre Sermanet, Tianli Ding, Jeffrey Zhao, Fei Xia, Debidatta Dwibedi, Keerthana Gopalakrishnan, Christine Chan, Gabriel Dulac-Arnold, Sharath Maddineni, Nikhil Joshi, Pete Florence, Wei Han, Robert Baruch, Yao Lu, Suvir Mirchandani, Peng Xu, Pannag Sanketi, Karol Hausman, Izhak Shafran, Brian Ichter, Yuan Cao

CVPR 2023 Token Turing Machines Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, Anurag Arnab

NeurIPS 2023 Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp

AAAI 2022 Detail-Preserving Transformer for Light Field Image Super-Resolution Shunzhou Wang, Tianfei Zhou, Yao Lu, Huijun Di

CoRL 2022 Do as I Can, Not as I Say: Grounding Language in Robotic Affordances Brian Ichter, Anthony Brohan, Yevgen Chebotar, Chelsea Finn, Karol Hausman, Alexander Herzog, Daniel Ho, Julian Ibarz, Alex Irpan, Eric Jang, Ryan Julian, Dmitry Kalashnikov, Sergey Levine, Yao Lu, Carolina Parada, Kanishka Rao, Pierre Sermanet, Alexander T Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Mengyuan Yan, Noah Brown, Michael Ahn, Omar Cortes, Nicolas Sievers, Clayton Tan, Sichun Xu, Diego Reyes, Jarek Rettinghouse, Jornell Quiambao, Peter Pastor, Linda Luu, Kuang-Huei Lee, Yuheng Kuang, Sally Jesmonth, Nikhil J. Joshi, Kyle Jeffrey, Rosario Jauregui Ruano, Jasmine Hsu, Keerthana Gopalakrishnan, Byron David, Andy Zeng, Chuyuan Kelly Fu

CVPRW 2022 On-Sensor Binarized Fully Convolutional Neural Network for Localisation and Coarse Segmentation Yanan Liu, Yao Lu

CoRL 2022 PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale Kuang-Huei Lee, Ted Xiao, Adrian Li, Paul Wohlhart, Ian Fischer, Yao Lu

ECCV 2022 Understanding the Dynamics of DNNs Using Graph Modularity Yao Lu, Wen Yang, Yunzhe Zhang, Zuohui Chen, Jinyin Chen, Qi Xuan, Zhen Wang, Xiaoniu Yang

ICLR 2022 Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander T Toshev, Sergey Levine, Brian Ichter

AAAI 2021 A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry Yao Lu, Xiaoli Xu, Mingyu Ding, Zhiwu Lu, Tao Xiang

CoRL 2021 AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale Yao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan, Eric Jang, Alexander Herzog, Ted Xiao, Alex Irpan, Mohi Khansari, Dmitry Kalashnikov, Sergey Levine

ICML 2021 Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills Yevgen Chebotar, Karol Hausman, Yao Lu, Ted Xiao, Dmitry Kalashnikov, Jacob Varley, Alex Irpan, Benjamin Eysenbach, Ryan C Julian, Chelsea Finn, Sergey Levine

ICMLW 2021 Adversarial Sample Detection via Channel Pruning Zuohui Chen, RenXuan Wang, Yao Lu, Jingyang Xiang, Qi Xuan

NeurIPS 2021 Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning Ligeng Zhu, Hongzhou Lin, Yao Lu, Yujun Lin, Song Han

CVPR 2021 Learning Optical Flow from a Few Matches Shihao Jiang, Yao Lu, Hongdong Li, Richard Hartley

ICCV 2021 Learning to Estimate Hidden Motions with Global Motion Aggregation Shihao Jiang, Dylan Campbell, Yao Lu, Hongdong Li, Richard Hartley

CVPR 2021 Taskology: Utilizing Task Relations at Scale Yao Lu, Soren Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon

NeurIPSW 2021 Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander T Toshev, Sergey Levine, Brian Ichter

WACV 2021 Vid2Int: Detecting Implicit Intention from Long Dialog Videos Xiaoli Xu, Yao Lu, Zhiwu Lu, Tao Xiang

WACV 2020 Devon: Deformable Volume Network for Learning Optical Flow Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip Torr

ECCVW 2020 Lightweight Action Recognition in Compressed Videos Yuqi Huo, Xiaoli Xu, Yao Lu, Yulei Niu, Mingyu Ding, Zhiwu Lu, Tao Xiang, Ji-Rong Wen

AAAI 2019 A Multi-Task Learning Framework for Abstractive Text Summarization Yao Lu, Linqing Liu, Zhile Jiang, Min Yang, Randy Goebel

ACML 2019 Separate Loss for Basic and Compound Facial Expression Recognition in the Wild Yingjian Li, Yao Lu, Jinxing Li, Guangming Lu

AAAI 2019 Super Sparse Convolutional Neural Networks Yao Lu, Guangming Lu, Bob Zhang, Yuanrong Xu, Jinxing Li

IJCAI 2018 AAR-CNNs: Auto Adaptive Regularized Convolutional Neural Networks Yao Lu, Guangming Lu, Yuanrong Xu, Bob Zhang

ECCVW 2018 Devon: Deformable Volume Network for Learning Optical Flow Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr

AAAI 2018 Generative Adversarial Network for Abstractive Text Summarization Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li

AAAI 2017 Closing the Loop for Edge Detection and Object Proposals Yao Lu, Linda G. Shapiro

CVPR 2016 Coherent Parametric Contours for Interactive Video Object Segmentation Yao Lu, Xue Bai, Linda Shapiro, Jue Wang

IJCAI 2016 Unsupervised Learning on Neural Network Outputs: With Application in Zero-Shot Learning Yao Lu

ICCV 2015 Contour Flow: Middle-Level Motion Estimation by Combining Motion Segmentation and Contour Alignment Huijun Di, Qingxuan Shi, Feng Lv, Ming Qin, Yao Lu

CVPR 2012 Learning Attention mAP from Images Yao Lu, Wei Zhang, Cheng Jin, Xiangyang Xue

ICCV 2011 Correlative Multi-Label Multi-Instance Image Annotation Xiangyang Xue, Wei Zhang, Jie Zhang, Bin Wu, Jianping Fan, Yao Lu

ICCV 2011 Salient Object Detection Using Concavity Context Yao Lu, Wei Zhang, Hong Lu, Xiangyang Xue

CVPR 2010 Abrupt Motion Tracking via Adaptive Stochastic Approximation Monte Carlo Sampling Xiuzhuang Zhou, Yao Lu