Xingyu Liu

According to our database, Xingyu Liu authored at least 28 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Design and Control Co-Optimization for Automated Design Iteration of Dexterous Anthropomorphic Soft Robotic Hands.

Pragna Mannam, Xingyu Liu, Ding Zhao, Jean Oh, Nancy S. Pollard

Proceedings of the 7th IEEE International Conference on Soft Robotics, 2024

LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators.

Changyi Lin, Xingyu Liu, Yuxiang Yang, Yaru Niu, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots, Ding Zhao

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

COMPOSER: Scalable and Robust Modular Policies for Snake Robots.

Yuyou Zhang, Yaru Niu, Xingyu Liu, Ding Zhao

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer.

Xingyu Liu, Deepak Pathak, Ding Zhao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Retrospective: EIE: Efficient Inference Engine on Sparse and Compressed Neural Network.

Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally

CoRR, 2023

Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation.

Qichen Fu, Xingyu Liu, Ran Xu, Juan Carlos Niebles, Kris M. Kitani

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer.

Xingyu Liu, Deepak Pathak, Kris Kitani

Proceedings of the International Conference on Machine Learning, 2022

Ego4D: Around the World in 3, 000 Hours of Egocentric Video.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Sequential Voting with Relational Box Fields for Active Object Detection.

Qichen Fu, Xingyu Liu, Kris M. Kitani

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration.

Xingyu Liu, Deepak Pathak, Kris M. Kitani

Proceedings of the Conference on Robot Learning, 2022

2021

Sequential Decision-Making for Active Object Detection from Hand.

Qichen Fu, Xingyu Liu, Kris M. Kitani

CoRR, 2021

Ego4D: Around the World in 3, 000 Hours of Egocentric Video.

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

CoRR, 2021

RePOSE: Real-Time Iterative Rendering and Refinement for 6D Object Pose Estimation.

Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, Kris M. Kitani

CoRR, 2021

KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation.

Xingyu Liu, Shun Iwase, Kris M. Kitani

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation.

Xingyu Liu, Shun Iwase, Kris M. Kitani

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering.

Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, Kris M. Kitani

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects.

Xingyu Liu, Kris M. Kitani

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects.

Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences.

Xingyu Liu, Mengyuan Yan, Jeannette Bohg

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

FlowNet3D: Learning Scene Flow in 3D Point Clouds.

Xingyu Liu, Charles R. Qi, Leonidas J. Guibas

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning Video Representations From Correspondence Proposals.

Xingyu Liu, Joon-Young Lee, Hailin Jin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Learning Scene Flow in 3D Point Clouds.

Xingyu Liu, Charles Ruizhongtai Qi, Leonidas J. Guibas

CoRR, 2018

Efficient Sparse-Winograd Convolutional Neural Networks.

Xingyu Liu, Jeff Pool, Song Han, William J. Dally

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Exploring the Regularity of Sparse Structure in Convolutional Neural Networks.

Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally

CoRR, 2017

Efficient Sparse-Winograd Convolutional Neural Networks.

Xingyu Liu, Song Han, Huizi Mao, William J. Dally

Proceedings of the 5th International Conference on Learning Representations, 2017

Exploring the Granularity of Sparsity in Convolutional Neural Networks.

Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

EIE: Efficient Inference Engine on Compressed Deep Neural Network.

Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally

Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

Deep compression and EIE: Efficient inference engine on compressed deep neural network.

Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark Horowitz, Bill Dally

Proceedings of the 2016 IEEE Hot Chips 28 Symposium (HCS), 2016