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Aerodynamic Data Predictions Based on Multi-task Learning

Oct 15, 2020
Liwei Hu, Yu Xiang, Jun Zhan, Zifang Shi, Wenzheng Wang


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

Oct 02, 2020
Lirui Wang, Yu Xiang, Dieter Fox


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Information Laundering for Model Privacy

Sep 13, 2020
Xinran Wang, Yu Xiang, Jun Gao, Jie Ding


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Flow Field Reconstructions with GANs based on Radial Basis Functions

Aug 11, 2020
Liwei Hu, Wenyong Wang, Yu Xiang, Jun Zhang


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Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation

Jul 30, 2020
Yu Xiang, Christopher Xie, Arsalan Mousavian, Dieter Fox


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Unseen Object Instance Segmentation for Robotic Environments

Jul 16, 2020
Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox

* Extended version of arXiv:1907.13236 

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

Dec 13, 2019
Keunhong Park, Arsalan Mousavian, Yu Xiang, Dieter Fox

* Project Page: https://keunhong.com/publications/latentfusion/ Video: https://youtu.be/T6qSMYmlCj4 

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Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection

Nov 22, 2019
Lirui Wang, Yu Xiang, Dieter Fox


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Scaling Local Control to Large-Scale Topological Navigation

Oct 08, 2019
Xiangyun Meng, Nathan Ratliff, Yu Xiang, Dieter Fox


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Self-supervised 6D Object Pose Estimation for Robot Manipulation

Sep 23, 2019
Xinke Deng, Yu Xiang, Arsalan Mousavian, Clemens Eppner, Timothy Bretl, Dieter Fox


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

Jul 30, 2019
Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox


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

May 22, 2019
Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Timothy Bretl, Dieter Fox

* Accepted to RSS 2019 

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Neural Autonomous Navigation with Riemannian Motion Policy

Apr 03, 2019
Xiangyun Meng, Nathan Ratliff, Yu Xiang, Dieter Fox


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DeepIM: Deep Iterative Matching for 6D Pose Estimation

Mar 14, 2019
Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, Dieter Fox

* updated Tekin et al.'s results 

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Object Discovery in Videos as Foreground Motion Clustering

Dec 06, 2018
Christopher Xie, Yu Xiang, Dieter Fox, Zaid Harchaoui


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Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects

Sep 27, 2018
Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, Stan Birchfield

* Conference on Robot Learning (CoRL) 2018 

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

May 26, 2018
Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, Dieter Fox

* Accepted to RSS 2018 

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Recurrent Autoregressive Networks for Online Multi-Object Tracking

Mar 04, 2018
Kuan Fang, Yu Xiang, Xiaocheng Li, Silvio Savarese

* 10 pages, 3 figures, 6 tables 

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

May 30, 2017
Yu Xiang, Dieter Fox

* Published in RSS 2017 

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Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection

Mar 09, 2017
Yu Xiang, Wongun Choi, Yuanqing Lin, Silvio Savarese

* Published in WACV 2017 

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Deep Metric Learning via Lifted Structured Feature Embedding

Nov 19, 2015
Hyun Oh Song, Yu Xiang, Stefanie Jegelka, Silvio Savarese

* 11 pages 

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A Coarse-to-Fine Model for 3D Pose Estimation and Sub-category Recognition

Apr 10, 2015
Roozbeh Mottaghi, Yu Xiang, Silvio Savarese


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