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ORCIDYu Xiang 0001
Person information
- affiliation: University of Texas at Dallas, Department of Computer Science, Richardson, TX, USA
- affiliation: NVIDIA Research, NVIDIA, Seattle, WA, USA
- affiliation: University of Washington, School of Computer Science and Engineering, Seattle, WA, USA
Other persons with the same name
- Yu Xiang — disambiguation page
- Yu Xiang 0002
![[0000-0001-9622-7661]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9622-7661")
— University of Electronic Science and Technology of China, Chengdu, Sichuan, China (and 1 more) - Yu Xiang 0003 — AT&T Labs-Research, Inventive science, Bedminster, NJ, USA (and 1 more)
- Yu Xiang 0004 — University of Utah, Electrical and Computer Engineering Department, Salt Lake City, UT, USA (and 2 more)
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Journal Articles
- 2022
[j6]Xinke Deng, Junyi Geng, Timothy Bretl, Yu Xiang, Dieter Fox:
iCaps: Iterative Category-Level Object Pose and Shape Estimation. IEEE Robotics Autom. Lett. 7(2): 1784-1791 (2022)- [j5]Lirui Wang, Xiangyun Meng, Yu Xiang, Dieter Fox:
Hierarchical Policies for Cluttered-Scene Grasping With Latent Plans. IEEE Robotics Autom. Lett. 7(2): 2883-2890 (2022) - 2021
- [j4]Xiangyun Meng, Yu Xiang, Dieter Fox:
Learning Composable Behavior Embeddings for Long-Horizon Visual Navigation. IEEE Robotics Autom. Lett. 6(2): 3128-3135 (2021) - [j3]Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Timothy Bretl, Dieter Fox:
PoseRBPF: A Rao-Blackwellized Particle Filter for 6-D Object Pose Tracking. IEEE Trans. Robotics 37(5): 1328-1342 (2021) - [j2]Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox:
Unseen Object Instance Segmentation for Robotic Environments. IEEE Trans. Robotics 37(5): 1343-1359 (2021) - 2020
- [j1]Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, Dieter Fox:
DeepIM: Deep Iterative Matching for 6D Pose Estimation. Int. J. Comput. Vis. 128(3): 657-678 (2020)
Conference and Workshop Papers
- 2024
- [c27]Shivvrat Arya, Yu Xiang, Vibhav Gogate:
Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification. AISTATS 2024: 2818-2826 - [c26]Wenjie Zhao, Jia Li, Xin Dong, Yu Xiang, Yunhui Guo:
Segment Every Out-of-Distribution Object. CVPR 2024: 3910-3920 - [c25]Yangxiao Lu, Yuqiao Chen, Nicholas Ruozzi, Yu Xiang:
Mean Shift Mask Transformer for Unseen Object Instance Segmentation. ICRA 2024: 2760-2766 - [c24]Ninad Khargonkar, Sai Haneesh Allu, Yangxiao Lu, Jishnu Jaykumar P, Balakrishnan Prabhakaran, Yu Xiang:
SceneReplica: Benchmarking Real-World Robot Manipulation by Creating Replicable Scenes. ICRA 2024: 8258-8264 - [c23]Howard H. Qian, Yangxiao Lu, Kejia Ren, Gaotian Wang, Ninad Khargonkar, Yu Xiang, Kaiyu Hang:
RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features. ICRA 2024: 13954-13960 - [c22]Benjamin Rheault, Shivvrat Arya, Akshay Vyas, Jikai Wang, Rohith Peddi, Brett Benda, Vibhav Gogate, Nicholas Ruozzi, Yu Xiang, Eric D. Ragan:
Predictive Task Guidance with Artificial Intelligence in Augmented Reality. VR Workshops 2024: 973-974 - 2023
- [c21]Jishnu Jaykumar P, Yu-Wei Chao, Yu Xiang:
FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments. ICRA 2023: 9140-9146 - [c20]Yangxiao Lu, Ninad A. Khargonkar, Zesheng Xu, Charles Averill, Kamalesh Palanisamy, Kaiyu Hang, Yunhui Guo, Nicholas Ruozzi, Yu Xiang:
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction. Robotics: Science and Systems 2023 - 2022
- [c19]Ninad Khargonkar, Neil Song, Zesheng Xu, B. Prabhakaran, Yu Xiang:
NeuralGrasps: Learning Implicit Representations for Grasps of Multiple Robotic Hands. CoRL 2022: 516-526 - [c18]Yu-Wei Chao, Chris Paxton, Yu Xiang, Wei Yang, Balakumar Sundaralingam, Tao Chen, Adithyavairavan Murali, Maya Cakmak, Dieter Fox:
HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers. ICRA 2022: 6941-6947 - 2021
- [c17]Lirui Wang, Yu Xiang, Wei Yang, Arsalan Mousavian, Dieter Fox:
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds. CoRL 2021: 70-80 - [c16]Chris Xie, Arsalan Mousavian, Yu Xiang, Dieter Fox:
RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks. CoRL 2021: 1655-1665 - [c15]Luyang Zhu, Arsalan Mousavian, Yu Xiang, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox:
RGB-D Local Implicit Function for Depth Completion of Transparent Objects. CVPR 2021: 4649-4658 - [c14]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:
DexYCB: A Benchmark for Capturing Hand Grasping of Objects. CVPR 2021: 9044-9053 - 2020
- [c13]Yu Xiang, Christopher Xie, Arsalan Mousavian, Dieter Fox:
Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation. CoRL 2020: 461-470 - [c12]Keunhong Park, Arsalan Mousavian, Yu Xiang, Dieter Fox:
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation. CVPR 2020: 10707-10716 - [c11]Xiangyun Meng, Nathan D. Ratliff, Yu Xiang, Dieter Fox:
Scaling Local Control to Large-Scale Topological Navigation. ICRA 2020: 672-678 - [c10]Xinke Deng, Yu Xiang, Arsalan Mousavian, Clemens Eppner, Timothy Bretl, Dieter Fox:
Self-supervised 6D Object Pose Estimation for Robot Manipulation. ICRA 2020: 3665-3671 - [c9]Lirui Wang, Yu Xiang, Dieter Fox:
Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection. Robotics: Science and Systems 2020 - 2019
- [c8]Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox:
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation. CoRL 2019: 1369-1378 - [c7]Christopher Xie, Yu Xiang, Zaïd Harchaoui, Dieter Fox:
Object Discovery in Videos as Foreground Motion Clustering. CVPR 2019: 9994-10003 - [c6]Xiangyun Meng, Nathan D. Ratliff, Yu Xiang, Dieter Fox:
Neural Autonomous Navigation with Riemannian Motion Policy. ICRA 2019: 8860-8866 - [c5]Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Timothy Bretl, Dieter Fox:
PoseRBPF: A Rao-Blackwellized Particle Filter for6D Object Pose Estimation. Robotics: Science and Systems 2019 - 2018
- [c4]Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, Stan Birchfield:
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects. CoRL 2018: 306-316 - [c3]Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, Dieter Fox:
DeepIM: Deep Iterative Matching for 6D Pose Estimation. ECCV (6) 2018: 695-711 - [c2]Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, Dieter Fox:
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes. Robotics: Science and Systems 2018 - 2017
- [c1]Yu Xiang, Dieter Fox:
DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks. Robotics: Science and Systems 2017
Informal and Other Publications
- 2024
- [i39]Howard H. Qian, Yangxiao Lu, Kejia Ren, Gaotian Wang, Ninad Khargonkar, Yu Xiang, Kaiyu Hang:
RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features. CoRR abs/2403.01731 (2024) - [i38]Yu Xiang, Sai Haneesh Allu, Rohith Peddi, Tyler Summers, Vibhav Gogate:
Grasping Trajectory Optimization with Point Clouds. CoRR abs/2403.05466 (2024) - [i37]Luis Felipe Casas Murillo, Ninad Khargonkar, Balakrishnan Prabhakaran, Yu Xiang:
MultiGripperGrasp: A Dataset for Robotic Grasping from Parallel Jaw Grippers to Dexterous Hands. CoRR abs/2403.09841 (2024) - [i36]Shivvrat Arya, Yu Xiang, Vibhav Gogate:
Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification. CoRR abs/2404.11667 (2024) - [i35]Yangxiao Lu, Jishnu Jaykumar P, Yunhui Guo, Nicholas Ruozzi, Yu Xiang:
Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation. CoRR abs/2405.17859 (2024) - [i34]Jikai Wang, Qifan Zhang, Yu-Wei Chao, Bowen Wen, Xiaohu Guo, Yu Xiang:
HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction. CoRR abs/2406.06843 (2024) - [i33]Qifan Zhang, Yunhui Guo, Yu Xiang:
Continual Distillation Learning. CoRR abs/2407.13911 (2024) - [i32]Ninad Khargonkar, Luis Felipe Casas Murillo, Balakrishnan Prabhakaran, Yu Xiang:
RobotFingerPrint: Unified Gripper Coordinate Space for Multi-Gripper Grasp Synthesis. CoRR abs/2409.14519 (2024) - 2023
- [i31]Shivvrat Arya, Yu Xiang, Vibhav Gogate:
Deep Dependency Networks for Multi-Label Classification. CoRR abs/2302.00633 (2023) - [i30]Yangxiao Lu, Ninad Khargonkar, Zesheng Xu, Charles Averill, Kamalesh Palanisamy, Kaiyu Hang, Yunhui Guo, Nicholas Ruozzi, Yu Xiang:
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction. CoRR abs/2302.03793 (2023) - [i29]Ninad Khargonkar, Sai Haneesh Allu, Yangxiao Lu, Jishnu Jaykumar P, Balakrishnan Prabhakaran, Yu Xiang:
SCENEREPLICA: Benchmarking Real-World Robot Manipulation by Creating Reproducible Scenes. CoRR abs/2306.15620 (2023) - [i28]Jishnu Jaykumar P, Kamalesh Palanisamy, Yu-Wei Chao, Xinya Du, Yu Xiang:
Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning. CoRR abs/2307.03073 (2023) - [i27]Wenjie Zhao, Jia Li, Xin Dong, Yu Xiang, Yunhui Guo:
Segment Every Out-of-Distribution Object. CoRR abs/2311.16516 (2023) - [i26]Rohith Peddi, Shivvrat Arya, Bharath Challa, Likhitha Pallapothula, Akshay Vyas, Jikai Wang, Qifan Zhang, Vasundhara Komaragiri, Eric D. Ragan, Nicholas Ruozzi, Yu Xiang, Vibhav Gogate:
CaptainCook4D: A dataset for understanding errors in procedural activities. CoRR abs/2312.14556 (2023) - 2022
- [i25]Xinke Deng, Junyi Geng, Timothy Bretl, Yu Xiang, Dieter Fox:
iCaps: Iterative Category-level Object Pose and Shape Estimation. CoRR abs/2201.00059 (2022) - [i24]Yu-Wei Chao, Chris Paxton, Yu Xiang, Wei Yang, Balakumar Sundaralingam, Tao Chen, Adithyavairavan Murali, Maya Cakmak, Dieter Fox:
HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers. CoRR abs/2205.09747 (2022) - [i23]Ninad Khargonkar, Neil Song, Zesheng Xu, Balakrishnan Prabhakaran, Yu Xiang:
NeuralGrasps: Learning Implicit Representations for Grasps of Multiple Robotic Hands. CoRR abs/2207.02959 (2022) - [i22]Jishnu Jaykumar P, Yu-Wei Chao, Yu Xiang:
FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments. CoRR abs/2207.03333 (2022) - [i21]Yangxiao Lu, Yuqiao Chen, Nicholas Ruozzi, Yu Xiang:
Mean Shift Mask Transformer for Unseen Object Instance Segmentation. CoRR abs/2211.11679 (2022) - 2021
- [i20]Xiangyun Meng, Yu Xiang, Dieter Fox:
Learning Composable Behavior Embeddings for Long-horizon Visual Navigation. CoRR abs/2102.09781 (2021) - [i19]Luyang Zhu, Arsalan Mousavian, Yu Xiang, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox:
RGB-D Local Implicit Function for Depth Completion of Transparent Objects. CoRR abs/2104.00622 (2021) - [i18]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:
DexYCB: A Benchmark for Capturing Hand Grasping of Objects. CoRR abs/2104.04631 (2021) - [i17]Christopher Xie, Arsalan Mousavian, Yu Xiang, Dieter Fox:
RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks. CoRR abs/2106.15711 (2021) - [i16]Lirui Wang, Yu Xiang, Dieter Fox:
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans. CoRR abs/2107.01518 (2021) - 2020
- [i15]Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox:
Unseen Object Instance Segmentation for Robotic Environments. CoRR abs/2007.08073 (2020) - [i14]Yu Xiang, Christopher Xie, Arsalan Mousavian, Dieter Fox:
Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation. CoRR abs/2007.15157 (2020) - [i13]Lirui Wang, Yu Xiang, Dieter Fox:
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds. CoRR abs/2010.00824 (2020) - 2019
- [i12]Xiangyun Meng, Nathan D. Ratliff, Yu Xiang, Dieter Fox:
Neural Autonomous Navigation with Riemannian Motion Policy. CoRR abs/1904.01762 (2019) - [i11]Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Timothy Bretl, Dieter Fox:
PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking. CoRR abs/1905.09304 (2019) - [i10]Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox:
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation. CoRR abs/1907.13236 (2019) - [i9]Xinke Deng, Yu Xiang, Arsalan Mousavian, Clemens Eppner, Timothy Bretl, Dieter Fox:
Self-supervised 6D Object Pose Estimation for Robot Manipulation. CoRR abs/1909.10159 (2019) - [i8]Xiangyun Meng, Nathan D. Ratliff, Yu Xiang, Dieter Fox:
Scaling Local Control to Large-Scale Topological Navigation. CoRR abs/1909.12329 (2019) - [i7]Lirui Wang, Yu Xiang, Dieter Fox:
Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection. CoRR abs/1911.10280 (2019) - [i6]Keunhong Park, Arsalan Mousavian, Yu Xiang, Dieter Fox:
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation. CoRR abs/1912.00416 (2019) - 2018
- [i5]Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, Dieter Fox:
DeepIM: Deep Iterative Matching for 6D Pose Estimation. CoRR abs/1804.00175 (2018) - [i4]Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, Stan Birchfield:
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects. CoRR abs/1809.10790 (2018) - [i3]Christopher Xie, Yu Xiang, Dieter Fox, Zaïd Harchaoui:
Object Discovery in Videos as Foreground Motion Clustering. CoRR abs/1812.02772 (2018) - 2017
- [i2]Yu Xiang, Dieter Fox:
DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks. CoRR abs/1703.03098 (2017) - [i1]Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, Dieter Fox:
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes. CoRR abs/1711.00199 (2017)
Coauthor Index
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