Forrester Cole
Forrester is a software engineer working on computer vision and graphics research, particularly 3D understanding of images and videos.
Prior to Google, Forrester was a postdoctoral researcher at Pixar Animation Studios and MIT. He completed his PhD at Princeton University under Adam Finkelstein.
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Associating Objects and their Effects in Unconstrained Monocular Video
Erika Lu
Zhengqi Li
Leonid Sigal
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023
SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow
Itai Lang
Shai Avidan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023
DynIBaR: Neural Dynamic Image-Based Rendering
Zhengqi Li
Qianqian Wang
Computer Vision and Pattern Recognition (CVPR) (2023)
Layered Neural Rendering for Retiming People in Video
Erika Lu
Weidi Xie
Andrew Zisserman
ACM Transactions on Graphics (Proc. SIGGRAPH Asia) (2020)
Learning the Depths of Moving People by Watching Frozen People
Zhengqi Li
Ce Liu
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
Unsupervised Training for 3D Morphable Model Regression
Kyle Genova
Aaron Maschinot
Daniel Vlasic
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)
Synthesizing Normalized Faces from Facial Identity Features
Dilip Krishnan
Conference on Computer Vision and Pattern Recognition (CVPR) (2017)
XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings
Amelie Royer
Stephan Gouws
Fred Bertsch
ICML Workshop (2017)
