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Xingyu Liu 0001
Person information
- affiliation: National University of Singapore, Department of Electrical and Computer Engineering, Singapore
- affiliation (2020 - 2024): Carnegie Mellon University, Robotics Institute, Pittsburgh, PA, USA
- affiliation (PhD 2020): Stanford University, Stanford AI Lab (SAIL), Interactive Perception and Robot Learning Lab (IPRL), Stanford, CA, USA
Other persons with the same name
- Xingyu Liu — disambiguation page
- Xingyu Liu 0002
(aka: Xingyu Bruce Liu) — University of California, HCI Research, Los Angeles, CA, USA (and 1 more)
- Xingyu Liu 0003
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2020 – today
- 2025
- [j1]Kristen Grauman
Ego4D: Around the World in 3,600 Hours of Egocentric Video. IEEE Trans. Pattern Anal. Mach. Intell. 47(11): 9468-9509 (2025) - 2024
- [c22]Xingyu Liu, Deepak Pathak, Ding Zhao:
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer. ICLR 2024 - [c21]Yuyou Zhang, Yaru Niu, Xingyu Liu, Ding Zhao
COMPOSER: Scalable and Robust Modular Policies for Snake Robots. ICRA 2024: 10800-10806 - [c20]Changyi Lin, Xingyu Liu, Yuxiang Yang
LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators. IROS 2024: 6877-6884 - [c19]Pragna Mannam, Xingyu Liu
Design and Control Co-Optimization for Automated Design Iteration of Dexterous Anthropomorphic Soft Robotic Hands. RoboSoft 2024: 332-339 - [i21]Pragna Mannam, Xingyu Liu, Ding Zhao
Design and Control Co-Optimization for Automated Design Iteration of Dexterous Anthropomorphic Soft Robotic Hands. CoRR abs/2403.09933 (2024) - [i20]Changyi Lin, Xingyu Liu, Yuxiang Yang, Yaru Niu, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots, Ding Zhao:
LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators. CoRR abs/2403.18197 (2024) - [i19]Xingyu Liu, Deepak Pathak, Ding Zhao:
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer. CoRR abs/2405.03534 (2024) - 2023
- [c18]Qichen Fu, Xingyu Liu, Ran Xu, Juan Carlos Niebles, Kris M. Kitani:
Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation. ICCV 2023: 23543-23554 - [i18]Qichen Fu, Xingyu Liu, Ran Xu, Juan Carlos Niebles, Kris M. Kitani:
Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation. CoRR abs/2303.04991 (2023) - [i17]Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally:
Retrospective: EIE: Efficient Inference Engine on Sparse and Compressed Neural Network. CoRR abs/2306.09552 (2023) - [i16]Yuyou Zhang, Yaru Niu, Xingyu Liu, Ding Zhao:
COMPOSER: Scalable and Robust Modular Policies for Snake Robots. CoRR abs/2310.00871 (2023) - 2022
- [c17]Xingyu Liu, Deepak Pathak, Kris M. Kitani:
HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration. CoRL 2022: 447-458 - [c16]Qichen Fu, Xingyu Liu, Kris M. Kitani:
Sequential Voting with Relational Box Fields for Active Object Detection. CVPR 2022: 2364-2373 - [c15]Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CVPR 2022: 18973-18990 - [c14]Xingyu Liu, Deepak Pathak, Kris Kitani:
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer. ICML 2022: 13995-14007 - [i15]Xingyu Liu, Deepak Pathak, Kris M. Kitani:
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer. CoRR abs/2202.05244 (2022) - [i14]Xingyu Liu, Deepak Pathak, Kris M. Kitani:
HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration. CoRR abs/2212.04359 (2022) - 2021
- [c13]Xingyu Liu, Kris M. Kitani:
V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects. CoRL 2021: 287-296 - [c12]Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, Kris M. Kitani:
RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering. ICCV 2021: 3283-3292 - [c11]Xingyu Liu
StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation. ICCV 2021: 10850-10859 - [c10]Xingyu Liu, Shun Iwase, Kris M. Kitani:
KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation. IROS 2021: 4631-4638 - [i13]Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, Kris M. Kitani:
RePOSE: Real-Time Iterative Rendering and Refinement for 6D Object Pose Estimation. CoRR abs/2104.00633 (2021) - [i12]Xingyu Liu, Shun Iwase, Kris M. Kitani:
StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation. CoRR abs/2109.10115 (2021) - [i11]Xingyu Liu, Shun Iwase, Kris M. Kitani:
KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation. CoRR abs/2109.10127 (2021) - [i10]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
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CoRR abs/2110.07058 (2021) - [i9]Qichen Fu, Xingyu Liu, Kris M. Kitani:
Sequential Decision-Making for Active Object Detection from Hand. CoRR abs/2110.11524 (2021) - [i8]Xingyu Liu, Kris M. Kitani:
V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects. CoRR abs/2111.03987 (2021) - 2020
- [c9]Xingyu Liu
KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects. CVPR 2020: 11599-11607
2010 – 2019
- 2019
- [c8]Xingyu Liu
FlowNet3D: Learning Scene Flow in 3D Point Clouds. CVPR 2019: 529-537 - [c7]Xingyu Liu
Learning Video Representations From Correspondence Proposals. CVPR 2019: 4273-4281 - [c6]Xingyu Liu
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences. ICCV 2019: 9245-9254 - [i7]Xingyu Liu, Joon-Young Lee, Hailin Jin:
Learning Video Representations from Correspondence Proposals. CoRR abs/1905.07853 (2019) - [i6]Xingyu Liu, Mengyuan Yan, Jeannette Bohg:
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences. CoRR abs/1910.09165 (2019) - [i5]Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige:
KeyPose: Multi-view 3D Labeling and Keypoint Estimation for Transparent Objects. CoRR abs/1912.02805 (2019) - 2018
- [c5]Xingyu Liu, Jeff Pool, Song Han, William J. Dally:
Efficient Sparse-Winograd Convolutional Neural Networks. ICLR (Poster) 2018 - [i4]Xingyu Liu, Jeff Pool, Song Han, William J. Dally:
Efficient Sparse-Winograd Convolutional Neural Networks. CoRR abs/1802.06367 (2018) - [i3]Xingyu Liu, Charles Ruizhongtai Qi, Leonidas J. Guibas:
Learning Scene Flow in 3D Point Clouds. CoRR abs/1806.01411 (2018) - 2017
- [c4]Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally:
Exploring the Granularity of Sparsity in Convolutional Neural Networks. CVPR Workshops 2017: 1927-1934 - [c3]Xingyu Liu, Song Han, Huizi Mao, William J. Dally:
Efficient Sparse-Winograd Convolutional Neural Networks. ICLR (Workshop) 2017 - [i2]Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally:
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks. CoRR abs/1705.08922 (2017) - 2016
- [c2]Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark Horowitz, Bill Dally:
Deep compression and EIE: Efficient inference engine on compressed deep neural network. Hot Chips Symposium 2016: 1-6 - [c1]Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz
EIE: Efficient Inference Engine on Compressed Deep Neural Network. ISCA 2016: 243-254 - [i1]Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally:
EIE: Efficient Inference Engine on Compressed Deep Neural Network. CoRR abs/1602.01528 (2016)
Coauthor Index
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