Liu, Xingyu

28 publications

NeurIPS 2025 A Dynamic Learning Strategy for Dempster-Shafer Theory with Applications in Classification and Enhancement Linlin Fan, Xingyu Liu, Mingliang Zhou, Xuekai Wei, Weizhi Xian, Jielu Yan, Weijia Jia

CVPR 2025 Boosting the Dual-Stream Architecture in Ultra-High Resolution Segmentation with Resolution-Biased Uncertainty Estimation Rong Qin, Xingyu Liu, Jinglei Shi, Liang Lin, Jufeng Yang

NeurIPS 2025 DREAM: Drafting with Refined Target Features and Entropy-Adaptive Cross-Attention Fusion for Multimodal Speculative Decoding Yunhai Hu, Tianhua Xia, Zining Liu, Rahul Raman, Xingyu Liu, Bo Bao, Eric Sather, Vithursan Thangarasa, Sai Qian Zhang

NeurIPS 2025 Generalizable Hand-Object Modeling from Monocular RGB Images via 3D Gaussians Xingyu Liu, Pengfei Ren, Qi Qi, Haifeng Sun, Zirui Zhuang, Jing Wang, Jianxin Liao, Jingyu Wang

CVPR 2025 No Pains, More Gains: Recycling Sub-Salient Patches for Efficient High-Resolution Image Recognition Rong Qin, Xin Liu, Xingyu Liu, Jiaxuan Liu, Jinglei Shi, Liang Lin, Jufeng Yang

ICCV 2025 Prior-Aware Dynamic Temporal Modeling Framework for Sequential 3D Hand Pose Estimation Pengfei Ren, Jingyu Wang, Haifeng Sun, Qi Qi, Xingyu Liu, Menghao Zhang, Lei Zhang, Jing Wang, Jianxin Liao

ICCV 2025 Street Gaussians Without 3D Object Tracker Ruida Zhang, Chengxi Li, Chenyangguang Zhang, Xingyu Liu, Haili Yuan, Yanyan Li, Xiangyang Ji, Gim Hee Lee

CVPR 2025 UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Xingyu Liu, Gu Wang, Ruida Zhang, Chenyangguang Zhang, Federico Tombari, Xiangyang Ji

ECCV 2024 Coarse-to-Fine Implicit Representation Learning for 3D Hand-Object Reconstruction from a Single RGB-D Image Xingyu Liu, Pengfei Ren, Jingyu Wang, Qi Qi, Haifeng Sun, Zirui Zhuang, Jianxin Liao

AAAI 2024 Differentiable Auxiliary Learning for Sketch Re-Identification Xingyu Liu, Xu Cheng, Haoyu Chen, Hao Yu, Guoying Zhao

ECCV 2024 Domain Shifting: A Generalized Solution for Heterogeneous Cross-Modality Person Re-Identification Yan Jiang, Xu Cheng, Hao Yu, Xingyu Liu, Haoyu Chen, Guoying Zhao

CVPR 2024 KP-RED: Exploiting Semantic Keypoints for Joint 3D Shape Retrieval and Deformation Ruida Zhang, Chenyangguang Zhang, Yan Di, Fabian Manhardt, Xingyu Liu, Federico Tombari, Xiangyang Ji

AAAI 2024 Keypoint Fusion for RGB-D Based 3D Hand Pose Estimation Xingyu Liu, Pengfei Ren, Yuanyuan Gao, Jingyu Wang, Haifeng Sun, Qi Qi, Zirui Zhuang, Jianxin Liao

ICLR 2024 Meta-Evolve: Continuous Robot Evolution for One-to-Many Policy Transfer Xingyu Liu, Deepak Pathak, Ding Zhao

ICCV 2023 Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation Qichen Fu, Xingyu Liu, Ran Xu, Juan Carlos Niebles, Kris M. Kitani

ICCV 2023 Parallel Attention Interaction Network for Few-Shot Skeleton-Based Action Recognition Xingyu Liu, Sanping Zhou, Le Wang, Gang Hua

ECCV 2022 CATRE: Iterative Point Clouds Alignment for Category-Level Object Pose Refinement Xingyu Liu, Gu Wang, Yi Li, Xiangyang Ji

CVPR 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 Kolář, 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, Merey Ramazanova, Leda Sari, Kiran 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 Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik

CoRL 2022 HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration Xingyu Liu, Deepak Pathak, Kris M. Kitani

ICMLW 2022 Knowledge Distillation for Efficient Sequences of Training Runs Xingyu Liu, Alexander Leonardi, Lu Yu, Christopher Gilmer-Hill, Matthew L Leavitt, Jonathan Frankle

ICML 2022 REvolveR: Continuous Evolutionary Models for Robot-to-Robot Policy Transfer Xingyu Liu, Deepak Pathak, Kris Kitani

CVPR 2022 Sequential Voting with Relational Box Fields for Active Object Detection Qichen Fu, Xingyu Liu, Kris Kitani

ICCV 2021 RePOSE: Fast 6d Object Pose Refinement via Deep Texture Rendering Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, Kris M. Kitani

ICCV 2021 StereOBJ-1m: Large-Scale Stereo Image Dataset for 6d Object Pose Estimation Xingyu Liu, Shun Iwase, Kris M. Kitani

CoRL 2021 V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects Xingyu Liu, Kris M. Kitani

ICLR 2018 Efficient Sparse-Winograd Convolutional Neural Networks Xingyu Liu, Jeff Pool, Song Han, William J. Dally

ICLR 2017 Efficient Sparse-Winograd Convolutional Neural Networks Xingyu Liu, Song Han, Huizi Mao, William J. Dally

CVPRW 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