Xiang, Yu

37 publications

TMLR 2026 Training-Conditional Coverage Bounds Under Covariate Shift Mehrdad Pournaderi, Yu Xiang

NeurIPS 2025 HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction Jikai Wang, Qifan Zhang, Yu-Wei Chao, Bowen Wen, Xiaohu Guo, Yu Xiang

NeurIPS 2024 CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities Rohith Peddi, Shivvrat Arya, Bharath Challa, Likhitha Pallapothula, Akshay Vyas, Bhavya Gouripeddi, Qifan Zhang, Jikai Wang, Vasundhara Komaragiri, Eric Ragan, Nicholas Ruozzi, Yu Xiang, Vibhav Gogate

AAAI 2024 Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao

AISTATS 2024 Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification Shivvrat Arya, Yu Xiang, Vibhav Gogate

CLeaR 2024 Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning Kang Du, Yu Xiang

NeurIPS 2024 On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function Yu Xiang, Jie Qiao, Zhefeng Liang, Zihuai Zeng, Ruichu Cai, Zhifeng Hao

CVPR 2024 Segment Every Out-of-Distribution Object Wenjie Zhao, Jia Li, Xin Dong, Yu Xiang, Yunhui Guo

IJCAI 2023 Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao

ECCV 2022 Few-Shot Single-View 3D Reconstruction with Memory Prior Contrastive Network Zhen Xing, Yijiang Chen, Zhixin Ling, Xiangdong Zhou, Yu Xiang

NeurIPSW 2022 Learning Invariant Representations Under General Interventions on the Response Kang Du, Yu Xiang

CoRL 2022 NeuralGrasps: Learning Implicit Representations for Grasps of Multiple Robotic Hands Ninad Khargonkar, Neil Song, Zesheng Xu, B Prabhakaran, Yu Xiang

ECCV 2022 TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices Using Submodular Mutual Information Suraj Kothawade, Saikat Ghosh, Sumit Shekhar, Yu Xiang, Rishabh Iyer

CVPR 2021 DexYCB: A Benchmark for Capturing Hand Grasping of Objects Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj S. Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, Dieter Fox

CoRL 2021 Goal-Auxiliary Actor-Critic for 6d Robotic Grasping with Point Clouds Lirui Wang, Yu Xiang, Wei Yang, Arsalan Mousavian, Dieter Fox

ICLR 2021 Information Laundering for Model Privacy Xinran Wang, Yu Xiang, Jun Gao, Jie Ding

CVPR 2021 RGB-D Local Implicit Function for Depth Completion of Transparent Objects Luyang Zhu, Arsalan Mousavian, Yu Xiang, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox

CoRL 2021 RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks Chris Xie, Arsalan Mousavian, Yu Xiang, Dieter Fox

CoRL 2020 Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation Yu Xiang, Christopher Xie, Arsalan Mousavian, Dieter Fox

CoRL 2019 The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox

CoRL 2018 Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, Stan Birchfield

ECCV 2018 DeepIM: Deep Iterative Matching for 6d Pose Estimation Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, Dieter Fox

WACV 2018 Recurrent Autoregressive Networks for Online Multi-Object Tracking Kuan Fang, Yu Xiang, Xiaocheng Li, Silvio Savarese

WACV 2017 Subcategory-Aware Convolutional Neural Networks for Object Proposals and Detection Yu Xiang, Wongun Choi, Yuanqing Lin, Silvio Savarese

CVPR 2016 Deep Metric Learning via Lifted Structured Feature Embedding Hyun Oh Song, Yu Xiang, Stefanie Jegelka, Silvio Savarese

ECCV 2016 ObjectNet3D: A Large Scale Database for 3D Object Recognition Yu Xiang, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher B. Choy, Hao Su, Roozbeh Mottaghi, Leonidas J. Guibas, Silvio Savarese

ECCV 2016 Pose Estimation Errors, the Ultimate Diagnosis Carolina Redondo-Cabrera, Roberto Javier López-Sastre, Yu Xiang, Tinne Tuytelaars, Silvio Savarese

CVPR 2015 A Coarse-to-Fine Model for 3D Pose Estimation and Sub-Category Recognition Roozbeh Mottaghi, Yu Xiang, Silvio Savarese

CVPR 2015 Data-Driven 3D Voxel Patterns for Object Category Recognition Yu Xiang, Wongun Choi, Yuanqing Lin, Silvio Savarese

ICCV 2015 Learning to Track: Online Multi-Object Tracking by Decision Making Yu Xiang, Alexandre Alahi, Silvio Savarese

WACV 2014 Beyond PASCAL: A Benchmark for 3D Object Detection in the Wild Yu Xiang, Roozbeh Mottaghi, Silvio Savarese

ECCV 2014 Monocular Multiview Object Tracking with 3D Aspect Parts Yu Xiang, Changkyu Song, Roozbeh Mottaghi, Silvio Savarese

ICCVW 2013 Object Detection by 3D Aspectlets and Occlusion Reasoning Yu Xiang, Silvio Savarese

CVPR 2012 Estimating the Aspect Layout of Object Categories Yu Xiang, Silvio Savarese

ECCV 2012 Object Co-Detection Sid Ying-Ze Bao, Yu Xiang, Silvio Savarese

CVPR 2010 Semantic Context Modeling with Maximal Margin Conditional Random Fields for Automatic Image Annotation Yu Xiang, Xiangdong Zhou, Zuotao Liu, Tat-Seng Chua, Chong-Wah Ngo

CVPR 2009 A Revisit of Generative Model for Automatic Image Annotation Using Markov Random Fields Yu Xiang, Xiangdong Zhou, Tat-Seng Chua, Chong-Wah Ngo