Christopher Xie

Christopher Xie

I am a PhD student at the Paul G. Allen School of Computer Science and Engineering at the University of Washington, working with Dieter Fox.

In the past, I have had the pleasure of interning at Google Research, NVIDIA Research, and Microsoft. I was graciously supported by a National Defense Science and Engineering Graduate (NDSEG) Fellowship from 2016-2019. I completed my undergraduate studies at University of California, Berkeley, in the EECS department.

My interests span the intersection of machine learning, computer vision, and robotics. In particular, I am interested in investigating visual representations that enable robots to perform physical tasks such as object manipulation in unstructured and cluttered scenes.

I will be joining Facebook Reality Labs Research (London) in November 2021!

Contact me at chrisxie [at] cs [dot] washington [dot] edu



Recent News and Announcements

  • 7/2021: I have been selected as part of the 2021 cohort of RSS Pioneers!
  • 6/2021: A new preprint on using GNNs for refining instance masks has been posted to arXiv.
  • 4/2021: A new preprint on NeRFs for 3D Object Category Modelling has been posted to arXiv.
  • 4/2021: I was fortunate to be invited to give talks about my research to Facebook AI Research, Facebook Reality Labs, Qualcomm, Amazon, and DeepMind.
  • 2/2021: Our paper on 3D voting for unseen object instance segmentation has been accepted to IEEE Transactions on Robotics (T-RO)!
  • 12/2020: I have been invited to speak on the panel at Object Representations for Learning and Reasoning Workshop at NeurIPS, 2020.
  • 9/2020: Our paper on learning feature embeddings for unseen object instance segmentation has been accepted to CoRL 2020.
  • 9/2020: Our paper on reconstruction for manipulation has been accepted for an oral presentation at CoRL 2020.
  • 7/2020: A new preprint on learning feature embeddings from RGB-D data has been posted to arXiv.
  • 7/2020: Started internship at Google Research Seattle.
  • 7/2020: Our extended version of UOIS-Net has been posted to arXiv. We have released code as well.
  • 6/2020: Our workshop paper has been accepted and selected for a spotlight presentation at the ICML Object-Oriented Learning Workshop.
  • 9/2019: Our paper on unseen object instance segmentation has been accepted to CoRL 2019. We have released code as well.
  • 7/2019: A new preprint on unseen object instance segmentation has been posted to arXiv.
  • 3/2019: Our paper on object discovery has been accepted to CVPR 2019.
  • 1/2019: Our paper on object tracking has been accepted to ICRA 2019.
  • 12/2018: A new preprint on object discovery has been posted to arXiv.