Bio

I am an incoming PhD student at MIT, advised by Frédo Durand and Bill Freeman. During my undergraduate study at UT Austin, I was fortunate to work with Philipp Krähenbühl, Katie Bouman, and Yisong Yue on 3D perception and accelerated MRI. My research interests lie in the intersection of computer vision (both low and high-level) and imaging (RGB and beyond).

News

Feb 2022
My statement of purpose for Computer Science Ph.D. Programs report.
Dec 2021
I am selected as a runner-up for CRA Outstanding Undergraduate Researcher Award 2022!
Nov 2021
"End-to-End Sequential Sampling and Reconstruction for MR Imaging" awarded Best Paper at ML4H Conference 2021. Check out the website for code and more visualizations.
Sep 2021
"Multimodal Virtual Point 3D Detection" accepted for publication at NeurIPS 2021. Paper and code are at URL.
Jun 2021
Our CenterPoint++ submission ranked 2nd in the CVPR 2021 Waymo Real-time 3D detection challenge. [report] [code]
Jun 2021
I win the UT Computer Sceince 2021 Best Honor Thesis award!
Mar 2021
"Center-based 3D Object Detection and Tracking" accepted for publication at CVPR 2021. Check out the github repo here.

Publications

Global Tracking Transformers
CVPR 2022
Xingyi Zhou, Tianwei Yin, Vladlen Koltun, Philipp Krähenbühl
End-to-End Sequential Sampling and Reconstruction for MR Imaging
ML4H 2021 (Best Paper Award)
Tianwei Yin*, Zihui Wu*, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman
Multimodal Virtual Point 3D Detection
NeurIPS 2021
Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl
Center-based 3D Object Detection and Tracking
CVPR 2021
Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl

Adapted from template.