Yu Xiang

According to our database, Yu Xiang authored at least 30 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MultiGripperGrasp: A Dataset for Robotic Grasping from Parallel Jaw Grippers to Dexterous Hands.

Luis Felipe Casas Murrilo, Ninad Khargonkar, Balakrishnan Prabhakaran, Yu Xiang

CoRR, 2024

2023

Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning.

Jishnu Jaykumar P, Kamalesh Palanisamy, Yu-Wei Chao, Xinya Du, Yu Xiang

CoRR, 2023

SCENEREPLICA: Benchmarking Real-World Robot Manipulation by Creating Reproducible Scenes.

Ninad Khargonkar, Sai Haneesh Allu, Yangxiao Lu, Jishnu Jaykumar P, Balakrishnan Prabhakaran, Yu Xiang

CoRR, 2023

FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments.

Jishnu Jaykumar P, Yu-Wei Chao, Yu Xiang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Hierarchical Policies for Cluttered-Scene Grasping With Latent Plans.

Lirui Wang, Xiangyun Meng, Yu Xiang, Dieter Fox

IEEE Robotics Autom. Lett., 2022

iCaps: Iterative Category-Level Object Pose and Shape Estimation.

Xinke Deng, Junyi Geng, Timothy Bretl, Yu Xiang, Dieter Fox

IEEE Robotics Autom. Lett., 2022

HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers.

Yu-Wei Chao, Chris Paxton, Yu Xiang, Wei Yang, Balakumar Sundaralingam, Tao Chen, Adithyavairavan Murali, Maya Cakmak, Dieter Fox

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Unseen Object Instance Segmentation for Robotic Environments.

Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox

IEEE Trans. Robotics, 2021

PoseRBPF: A Rao-Blackwellized Particle Filter for 6-D Object Pose Tracking.

Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Timothy Bretl, Dieter Fox

IEEE Trans. Robotics, 2021

Learning Composable Behavior Embeddings for Long-Horizon Visual Navigation.

Xiangyun Meng, Yu Xiang, Dieter Fox

IEEE Robotics Autom. Lett., 2021

Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans.

Lirui Wang, Yu Xiang, Dieter Fox

CoRR, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks.

Chris Xie, Arsalan Mousavian, Yu Xiang, Dieter Fox

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds.

Lirui Wang, Yu Xiang, Wei Yang, Arsalan Mousavian, Dieter Fox

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

DeepIM: Deep Iterative Matching for 6D Pose Estimation.

Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, Dieter Fox

Int. J. Comput. Vis., 2020

Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds.

Lirui Wang, Yu Xiang, Dieter Fox

CoRR, 2020

Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection.

Lirui Wang, Yu Xiang, Dieter Fox

Proceedings of the Robotics: Science and Systems XVI, 2020

Scaling Local Control to Large-Scale Topological Navigation.

Xiangyun Meng, Nathan D. Ratliff, Yu Xiang, Dieter Fox

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Self-supervised 6D Object Pose Estimation for Robot Manipulation.

Xinke Deng, Yu Xiang, Arsalan Mousavian, Clemens Eppner, Timothy Bretl, Dieter Fox

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation.

Keunhong Park, Arsalan Mousavian, Yu Xiang, Dieter Fox

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation.

Yu Xiang, Christopher Xie, Arsalan Mousavian, Dieter Fox

Proceedings of the 4th Conference on Robot Learning, 2020

2019

PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking.

Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Timothy Bretl, Dieter Fox

CoRR, 2019

PoseRBPF: A Rao-Blackwellized Particle Filter for6D Object Pose Estimation.

Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Timothy Bretl, Dieter Fox

Proceedings of the Robotics: Science and Systems XV, 2019

Neural Autonomous Navigation with Riemannian Motion Policy.

Xiangyun Meng, Nathan D. Ratliff, Yu Xiang, Dieter Fox

Proceedings of the International Conference on Robotics and Automation, 2019

Object Discovery in Videos as Foreground Motion Clustering.

Christopher Xie, Yu Xiang, Zaïd Harchaoui, Dieter Fox

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation.

Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes.

Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, Dieter Fox

Proceedings of the Robotics: Science and Systems XIV, 2018

Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects.

Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, Stan Birchfield

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks.

Yu Xiang, Dieter Fox

Proceedings of the Robotics: Science and Systems XIII, 2017