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Publications
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Discovering and Segmenting Unseen Objects for Robot Perception
Christopher Xie Ph.D. Thesis, 2021 [PDF] |
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FiG-NeRF: Figure Ground Neural Radiance Fields for 3D Object Category Modelling
Christopher Xie, Keunhong Park, Ricardo Martin-Brualla, Matthew Brown International Conference on 3D Vision - 3DV, 2021 [Project Page] [arXiv] [Video] |
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RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks
Christopher Xie, Arsalan Mousavian, Yu Xiang, Dieter Fox Conference on Robot Learning - CoRL, 2021 [Project Page] [arXiv] [Code] [Video] |
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Predicting Stable Configurations for Semantic Placement of Novel Objects
Chris Paxton, Christopher Xie, Tucker Hermans, Dieter Fox Conference on Robot Learning - CoRL, 2021 [arXiv] [Video] |
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Unseen Object Instance Segmentation for Robotic Environments
Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox IEEE Transactions on Robotics - T-RO, 2021 [Project Page] [arXiv] [Code] |
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Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation
Yu Xiang, Christopher Xie, Arsalan Mousavian, Dieter Fox Conference on Robot Learning - CoRL, 2020 [arXiv] [Code] [Video] |
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Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity
William Agnew, Christopher Xie, Aaron Walsman, Octavian Murad, Caelen Wang, Pedro Domingos, Siddhartha Srinivasa Conference on Robot Learning - CoRL, 2020 (Oral) ICML Workshop on Object-Oriented Learning, 2020 (Spotlight) [Project Page] [arXiv] [Code] |
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The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation
Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox Conference on Robot Learning - CoRL, 2019 [Project Page] [arXiv] [Code] [Video] |
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Object Discovery in Videos as Foreground Motion Clustering
Christopher Xie, Yu Xiang, Zaid Harchaoui, Dieter Fox IEEE Conference on Computer Vision and Pattern Recognition - CVPR, 2019 [arXiv] [Video] |
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A Simple Adaptive Tracker with Reminiscences
Christopher Xie, Emily Fox, Zaid Harchaoui IEEE International Conference on Robotics and Automation - ICRA, 2019 [PDF] [Code] [Video] |
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NonSTOP: A NonSTationary Online Prediction Method for Time Series
Christopher Xie, Avleen Bijral, Juan Lavista Ferres IEEE Signal Processing Letters - SPL, 2018 [PDF] [arXiv] |
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A Unified Framework for Long Range and Cold Start Forecasting of Seasonal Profiles in Time Series
Christopher Xie, Alex Tank, Alec Greaves-Tunnell, Emily Fox NeurIPS Time Series Workshop, 2016 (Best Oral Presentation) [arXiv] |
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Model-based Reinforcement Learning with Parametrized Physical Models and Optimism-Driven Exploration
Christopher Xie, Sachin Patil, Teodor Moldovan, Sergey Levine, Pieter Abbeel IEEE International Conference on Robotics and Automation - ICRA, 2016 [PDF] [arXiv] |
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Toward Asymptotically Optimal Motion Planning for Kinodynamic Systems using a Two-Point Boundary Value Problem Solver
Christopher Xie, Jur van den Berg, Sachin Patil, Pieter Abbeel IEEE International Conference on Robotics and Automation - ICRA, 2015 [PDF] [Code] |