Christopher Xie

According to our database, Christopher Xie authored at least 18 papers between 2015 and 2024.

Collaborative distances:

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

2024

ReplaceAnything3D: Text-Guided 3D Scene Editing with Compositional Neural Radiance Fields.

Edward Bartrum, Thu Nguyen-Phuoc, Chris Xie, Zhengqin Li, Numair Khan, Armen Avetisyan, Douglas Lanman, Lei Xiao

CoRR, 2024

SceneScript: Reconstructing Scenes with an Autoregressive Structured Language Model.

Armen Avetisyan, Christopher Xie, Henry Howard-Jenkins, Tsun-Yi Yang, Samir Aroudj, Suvam Patra, Fuyang Zhang, Duncan P. Frost, Luke Holland, Campbell Orme, Jakob Engel, Edward Miller, Richard A. Newcombe, Vasileios Balntas

Proceedings of the Computer Vision - ECCV 2024, 2024

2021

Discovering and Segmenting Unseen Objects for Robot Perception.

Christopher Xie

PhD thesis, 2021

Unseen Object Instance Segmentation for Robotic Environments.

Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox

IEEE Trans. Robotics, 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

Predicting Stable Configurations for Semantic Placement of Novel Objects.

Chris Paxton, Chris Xie, Tucker Hermans, Dieter Fox

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

FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling.

Christopher Xie, Keunhong Park, Ricardo Martin-Brualla, Matthew Brown

Proceedings of the International Conference on 3D Vision, 2021

2020

Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity.

William Agnew, Christopher Xie, Aaron Walsman, Octavian Murad, Caelen Wang, Pedro Domingos, Siddhartha S. Srinivasa

CoRR, 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

Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity.

William Agnew, Christopher Xie, Aaron Walsman, Octavian Murad, Yubo Wang, Pedro Domingos, Siddhartha S. Srinivasa

Proceedings of the 4th Conference on Robot Learning, 2020

2019

A Simple Adaptive Tracker with Reminiscences.

Christopher Xie, Emily B. Fox, Zaïd Harchaoui

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

NonSTOP: A NonSTationary Online Prediction Method for Time Series.

Christopher Xie, Avleen Bijral, Juan Lavista Ferres

IEEE Signal Process. Lett., 2018

2017

A Unified Framework for Long Range and Cold Start Forecasting of Seasonal Profiles in Time Series.

Christopher Xie, Alex Tank, Alec Greaves-Tunnell, Emily B. Fox

CoRR, 2017

2016

An Online Prediction Framework for Non-Stationary Time Series.

Christopher Xie, Avleen Bijral, Juan Lavista Ferres

CoRR, 2016

Model-based reinforcement learning with parametrized physical models and optimism-driven exploration.

Chris Xie, Sachin Patil, Teodor Mihai Moldovan, Sergey Levine, Pieter Abbeel

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Toward asymptotically optimal motion planning for kinodynamic systems using a two-point boundary value problem solver.

Christopher Xie, Jur P. van den Berg, Sachin Patil, Pieter Abbeel

Proceedings of the IEEE International Conference on Robotics and Automation, 2015