Xingyu Liu - RankMe

44 papers A* 13A 2Misc 2Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Ego4D: Around the World in 3,600 Hours of Egocentric Video. IEEE Trans. Pattern Anal. Mach. Intell. Kristen Grauman, Andrew Westbury, Eugene Byrne, Vincent Cartillier, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Devansh Kukreja, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran K. Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik
2024	A*	`conf`	COMPOSER: Scalable and Robust Modular Policies for Snake Robots. ICRA Yuyou Zhang, Yaru Niu, Xingyu Liu, Ding Zhao
2024	—	`conf`	Design and Control Co-Optimization for Automated Design Iteration of Dexterous Anthropomorphic Soft Robotic Hands. RoboSoft Pragna Mannam, Xingyu Liu, Ding Zhao, Jean Oh, Nancy S. Pollard
2024	J	`jnl`	Design and Control Co-Optimization for Automated Design Iteration of Dexterous Anthropomorphic Soft Robotic Hands. CoRR Pragna Mannam, Xingyu Liu, Ding Zhao, Jean Oh, Nancy S. Pollard
2024	A	`conf`	LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators. IROS Changyi Lin, Xingyu Liu, Yuxiang Yang, Yaru Niu, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots, Ding Zhao
2024	J	`jnl`	LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators. CoRR Changyi Lin, Xingyu Liu, Yuxiang Yang, Yaru Niu, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots, Ding Zhao
2024	A*	`conf`	Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer. ICLR Xingyu Liu, Deepak Pathak, Ding Zhao
2024	J	`jnl`	Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer. CoRR Xingyu Liu, Deepak Pathak, Ding Zhao
2023	J	`jnl`	COMPOSER: Scalable and Robust Modular Policies for Snake Robots. CoRR Yuyou Zhang, Yaru Niu, Xingyu Liu, Ding Zhao
2023	A*	`conf`	Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation. ICCV Qichen Fu, Xingyu Liu, Ran Xu, Juan Carlos Niebles, Kris M. Kitani
2023	J	`jnl`	Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation. CoRR Qichen Fu, Xingyu Liu, Ran Xu, Juan Carlos Niebles, Kris M. Kitani
2023	J	`jnl`	Retrospective: EIE: Efficient Inference Engine on Sparse and Compressed Neural Network. CoRR Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally
2022	A*	`conf`	Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CVPR Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran K. Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik
2022	Misc	`conf`	HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration. CoRL Xingyu Liu, Deepak Pathak, Kris M. Kitani
2022	J	`jnl`	HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration. CoRR Xingyu Liu, Deepak Pathak, Kris M. Kitani
2022	A*	`conf`	REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer. ICML Xingyu Liu, Deepak Pathak, Kris Kitani
2022	J	`jnl`	REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer. CoRR Xingyu Liu, Deepak Pathak, Kris M. Kitani
2022	A*	`conf`	Sequential Voting with Relational Box Fields for Active Object Detection. CVPR Qichen Fu, Xingyu Liu, Kris M. Kitani
2021	J	`jnl`	Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CoRR Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran K. Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik
2021	A	`conf`	KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation. IROS Xingyu Liu, Shun Iwase, Kris M. Kitani
2021	J	`jnl`	KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation. CoRR Xingyu Liu, Shun Iwase, Kris M. Kitani
2021	A*	`conf`	RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering. ICCV Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, Kris M. Kitani
2021	J	`jnl`	RePOSE: Real-Time Iterative Rendering and Refinement for 6D Object Pose Estimation. CoRR Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, Kris M. Kitani
2021	J	`jnl`	Sequential Decision-Making for Active Object Detection from Hand. CoRR Qichen Fu, Xingyu Liu, Kris M. Kitani
2021	A*	`conf`	StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation. ICCV Xingyu Liu, Shun Iwase, Kris M. Kitani
2021	J	`jnl`	StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation. CoRR Xingyu Liu, Shun Iwase, Kris M. Kitani
2021	Misc	`conf`	V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects. CoRL Xingyu Liu, Kris M. Kitani
2021	J	`jnl`	V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects. CoRR Xingyu Liu, Kris M. Kitani
2020	A*	`conf`	KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects. CVPR Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige
2019	A*	`conf`	FlowNet3D: Learning Scene Flow in 3D Point Clouds. CVPR Xingyu Liu, Charles R. Qi, Leonidas J. Guibas
2019	J	`jnl`	KeyPose: Multi-view 3D Labeling and Keypoint Estimation for Transparent Objects. CoRR Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige
2019	A*	`conf`	Learning Video Representations From Correspondence Proposals. CVPR Xingyu Liu, Joon-Young Lee, Hailin Jin
2019	J	`jnl`	Learning Video Representations from Correspondence Proposals. CoRR Xingyu Liu, Joon-Young Lee, Hailin Jin
2019	A*	`conf`	MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences. ICCV Xingyu Liu, Mengyuan Yan, Jeannette Bohg
2019	J	`jnl`	MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences. CoRR Xingyu Liu, Mengyuan Yan, Jeannette Bohg
2018	—	`conf`	Efficient Sparse-Winograd Convolutional Neural Networks. ICLR (Poster) Xingyu Liu, Jeff Pool, Song Han, William J. Dally
2018	J	`jnl`	Efficient Sparse-Winograd Convolutional Neural Networks. CoRR Xingyu Liu, Jeff Pool, Song Han, William J. Dally
2018	J	`jnl`	Learning Scene Flow in 3D Point Clouds. CoRR Xingyu Liu, Charles Ruizhongtai Qi, Leonidas J. Guibas
2017	—	`conf`	Efficient Sparse-Winograd Convolutional Neural Networks. ICLR (Workshop) Xingyu Liu, Song Han, Huizi Mao, William J. Dally
2017	—	`conf`	Exploring the Granularity of Sparsity in Convolutional Neural Networks. CVPR Workshops Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally
2017	J	`jnl`	Exploring the Regularity of Sparse Structure in Convolutional Neural Networks. CoRR Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally
2016	—	`conf`	Deep compression and EIE: Efficient inference engine on compressed deep neural network. Hot Chips Symposium Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark Horowitz, Bill Dally
2016	A*	`conf`	EIE: Efficient Inference Engine on Compressed Deep Neural Network. ISCA Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally
2016	J	`jnl`	EIE: Efficient Inference Engine on Compressed Deep Neural Network. CoRR Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally