@inproceedings{locoman:lin:2024,
title="{LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators}",
author={Changyi Lin and Xingyu Liu and Yuxiang Yang and Yaru Niu and Wenhao Yu and Tingnan Zhang and Jie Tan and Byron Boots and Ding Zhao},
booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year={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 Pollard
@inproceedings{auto:design:mannam:2024,
title="{Design and Control Co-Optimization for Automated Design Iteration of Dexterous Anthropomorphic Soft Robotic Hands}",
author={Pragna Mannam and Xingyu Liu and Ding Zhao and Jean Oh and Nancy Pollard},
booktitle={IEEE-RAS International Conference on Soft Robotics (RoboSoft)},
year={2024},
}
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer
@inproceedings{meta:evolve:liu:2024,
title="{Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer}",
author={Xingyu Liu and Deepak Pathak and Ding Zhao},
booktitle={International Conference on Learning Representations (ICLR)},
year={2024},
}
COMPOSER: Scalable and Robust Modular Policies for Snake Robots
@article{zhang2023composer,
title="{COMPOSER: Scalable and Robust Modular Policies for Snake Robots}",
author={Yuyou Zhang and Yaru Niu and Xingyu Liu and Ding Zhao},
journal={arXiv preprint arXiv:2310.00871},
year={2023},
}
Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation
Qichen Fu, Xingyu Liu, Ran Xu, Juan Carlos Niebles, Kris M. Kitani
@inproceedings{deformer:fu:2023,
title="{Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation}",
author={Qichen Fu and Xingyu Liu and Ran Xu and Juan Carlos Niebles and Kris M. Kitani},
booktitle={IEEE/CVF International Conference on Computer Vision (ICCV)},
year={2023},
}
HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration
@inproceedings{herd:liu:2022,
title="{HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration}",
author={Xingyu Liu and Deepak Pathak and Kris M. Kitani},
booktitle={The Conference on Robot Learning (CoRL)},
year={2022},
}
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer
@inproceedings{revolver:liu:2022,
title="{REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer}",
author={Xingyu Liu and Deepak Pathak and Kris M. Kitani},
booktitle={The International Conference on Machine Learning (ICML)},
year={2022},
}
@inproceedings{ego4d:grauman:2022,
title="{Ego4D: Around the World in 3,000 Hours of Egocentric Video}",
author={Kristen Grauman and Andrew Westbury and Eugene Byrne and Zachary Chavis and Antonino Furnari and Rohit Girdhar and Jackson Hamburger and Hao Jiang and Miao Liu and Xingyu Liu and Miguel Martin and Tushar Nagarajan and Ilija Radosavovic and Santhosh Kumar Ramakrishnan and Fiona Ryan and Jayant Sharma and Michael Wray and Mengmeng Xu and Eric Zhongcong Xu and Chen Zhao and Siddhant Bansal and Dhruv Batra and Vincent Cartillier and Sean Crane and Tien Do and Morrie Doulaty and Akshay Erapalli and Christoph Feichtenhofer and Adriano Fragomeni and Qichen Fu and Christian Fuegen and Abrham Gebreselasie and Cristina Gonzalez and James Hillis and Xuhua Huang and Yifei Huang and Wenqi Jia and Weslie Khoo and Jachym Kolar and Satwik Kottur and Anurag Kumar and Federico Landini and Chao Li and Yanghao Li and Zhenqiang Li and Karttikeya Mangalam and Raghava Modhugu and Jonathan Munro and Tullie Murrell and Takumi Nishiyasu and Will Price and Paola Ruiz Puentes and Merey Ramazanova and Leda Sari and Kiran Somasundaram and Audrey Southerland and Yusuke Sugano and Ruijie Tao and Minh Vo and Yuchen Wang and Xindi Wu and Takuma Yagi and Yunyi Zhu and Pablo Arbelaez and David Crandall and Dima Damen and Giovanni Maria Farinella and Bernard Ghanem and Vamsi Krishna Ithapu and C. V. Jawahar and Hanbyul Joo and Kris Kitani and Haizhou Li and Richard Newcombe and Aude Oliva and Hyun Soo Park and James M. Rehg and Yoichi Sato and Jianbo Shi and Mike Zheng Shou and Antonio Torralba and Lorenzo Torresani and Mingfei Yan and Jitendra Malik},
booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2022},
}
Sequential Voting with Relational Box Fields for Active Object Detection
@inproceedings{sequential:fu:2022,
title="{Sequential Voting with Relational Box Fields for Active Object Detection}",
author={Qichen Fu and Xingyu Liu and Kris M. Kitani},
booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2022},
}
V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects
@inproceedings{vmao:liu:2021,
title="{V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects}",
author={Xingyu Liu and Kris M. Kitani},
booktitle={The Conference on Robot Learning (CoRL)},
year={2021},
}
StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation
@inproceedings{stereobj1m:liu:2021,
title="{StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation}",
author={Xingyu Liu and Shun Iwase and Kris M. Kitani},
booktitle={IEEE/CVF International Conference on Computer Vision (ICCV)},
year={2021},
}
RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering
Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, Kris M. Kitani
@inproceedings{repose:iwase:2021,
title="{RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering}",
author={Shun Iwase and Xingyu Liu and Rawal Khirodkar and Rio Yokota and Kris M. Kitani},
booktitle={IEEE/CVF International Conference on Computer Vision (ICCV)},
year={2021},
}
KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation
@inproceedings{kdfnet:liu:2021,
title="{KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation}",
author={Xingyu Liu and Shun Iwase and Kris M. Kitani},
booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year={2021},
}
KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects
Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige
@inproceedings{keypose:liu:2020,
title="{KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects}",
author={Xingyu Liu and Rico Jonschkowski and Anelia Angelova and Kurt Konolige},
booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2020},
}
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences
@inproceedings{meteornet:liu:2019,
title="{MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences}",
author={Xingyu Liu and Mengyuan Yan and Jeannette Bohg},
booktitle={IEEE/CVF International Conference on Computer Vision (ICCV)},
year={2019},
}
Learning Video Representations from Correspondence Proposals
@inproceedings{cpnet:liu:2019,
title="{Learning Video Representations from Correspondence Proposals}",
author={Xingyu Liu and Joon-Young Lee and Hailin Jin},
booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2019},
}
@inproceedings{flownet3d:liu:2019,
title="{FlowNet3D: Learning Scene Flow in 3D Point Clouds}",
author={Xingyu Liu and Charles R. Qi and Leonidas J. Guibas},
booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2019},
}
@inproceedings{efficient:winograd:liu:2018,
title="{Efficient Sparse-Winograd Convolutional Neural Networks}",
author={Xingyu Liu and Jeff Pool and Song Han and William J. Dally},
booktitle={International Conference on Learning Representations (ICLR)},
year={2018},
}
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
@inproceedings{eie:han:2016,
title="{EIE: Efficient Inference Engine on Compressed Deep Neural Network}",
author={Song Han and Xingyu Liu and Huizi Mao and Jing Pu and Ardavan Pedram and Mark A. Horowitz and William J. Dally},
booktitle={International Symposium on Computer Architecture (ISCA)},
year={2016},
}
RadixBoost: A Hardware Acceleration Structure for Scalable Radix Sort on Graphic Processors
@inproceedings{radixboost:liu:2015,
title="{RadixBoost: A Hardware Acceleration Structure for Scalable Radix Sort on Graphic Processors}",
author={Xingyu Liu and Shikai Li and Kuan Fang and Yufei Ni and Zonghui Li and Yangdong Deng},
booktitle={International Symposium on Circuits and Systems (ISCAS)},
year={2015},
}
FastTree: A Hardware KD-tree Construction Acceleration Engine for Real-time Ray Tracing
@inproceedings{fasttree:liu:2015,
title="{FastTree: A Hardware KD-tree Construction Acceleration Engine for Real-time Ray Tracing}",
author={Xingyu Liu and Yangdong Deng and Yufei Ni and Zonghui Li},
booktitle={Design, Automation \& Test in Europe Conference \& Exhibition (DATE)},
year={2015},
}