I am a research scientist at Meta Reality Labs in London. I received my PhD from the Paul G. Allen School of Computer Science and Engineering at the University of Washington.
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. 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.
Contact me at chrisdxie [at] fb [dot] com
Recent News and Announcements
- 11/2021: I have started as a research scientist at Meta Reality Labs in London.
- 10/2021: Our paper on 3D Object Category Modelling has been accepted to 3DV!
- 9/2021: Two papers about refining instance masks and semantic object re-arragement have been accepted to CoRL!
- 7/2021: I have successfully defended my PhD thesis and graduated!
- 7/2021: I have been selected as part of the 2021 cohort of RSS Pioneers.
- 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: Two papers about reconstruction for manipulation and learning feature embeddings for unseen object instance segmentation have been accepted to CoRL!
- 7/2020: Started internship at Google Research Seattle.
- 9/2019: Our paper on unseen object instance segmentation has been accepted to CoRL 2019! We have released code as well.
- 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!