Christopher Xie

Orcid: 0000-0002-1027-1010

According to our database1, Christopher Xie authored at least 18 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model.
CoRR, 2024

ReplaceAnything3D: Text-Guided 3D Scene Editing with Compositional Neural Radiance Fields.
CoRR, 2024

2021
Discovering and Segmenting Unseen Objects for Robot Perception.
PhD thesis, 2021

Unseen Object Instance Segmentation for Robotic Environments.
IEEE Trans. Robotics, 2021

RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Predicting Stable Configurations for Semantic Placement of Novel Objects.
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.
Proceedings of the International Conference on 3D Vision, 2021

2020
Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity.
CoRR, 2020

Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation.
Proceedings of the 4th Conference on Robot Learning, 2020

Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
A Simple Adaptive Tracker with Reminiscences.
Proceedings of the International Conference on Robotics and Automation, 2019

Object Discovery in Videos as Foreground Motion Clustering.
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.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
NonSTOP: A NonSTationary Online Prediction Method for Time Series.
IEEE Signal Process. Lett., 2018

2017
A Unified Framework for Long Range and Cold Start Forecasting of Seasonal Profiles in Time Series.
CoRR, 2017

2016
An Online Prediction Framework for Non-Stationary Time Series.
CoRR, 2016

Model-based reinforcement learning with parametrized physical models and optimism-driven exploration.
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.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015


  Loading...