Publications

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field.

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Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field.

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1 - 15 of 291 publications
    Perception
Burst Denoising with Kernel Prediction Networks
Ben Mildenhall
Jiawen Chen
Dillon Sharlet
Ren Ng
Rob Carroll
CVPR (2018) (to appear)
COCO-Stuff: Thing and Stuff Classes in Context
Holger Caesar
Vittorio Ferrari
CVPR (2018) (to appear)
Stereo Magnification: Learning view synthesis using multiplane images
Tinghui Zhou
John Flynn
Graham Fyffe
ACM Trans. Graph. (Proc. SIGGRAPH), 37 (2018)
Thoracic Disease Identification and Localization with Limited Supervision
Chong Wang
Mei Han
Wei Wei
Jia Li
Fei-Fei Li
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2018)
BLADE: Filter Learning for General Purpose Image Processing
John Isidoro
Sungjoon Choi
Frank Ong
International Conference on Computational Photography (2018)
Low-Shot Learning with Imprinted Weights
David Lowe
Matthew Brown
CVPR (2018)
In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images
Eric Christiansen
Mike Ando
Ashkan Javaherian
Gaia Skibinski
Scott Lipnick
Elliot Mount
Alison O'Neil
Kevan Shah
Alicia K. Lee
Piyush Goyal
Liam Fedus
Andre Esteva
Lee Rubin
Steven Finkbeiner
Cell (2018)
Learning Intelligent Dialogs for Bounding-Box Annotation
Ksenia Konyushkova
Chris Lampert
Vittorio Ferrari
CVPR (2018) (to appear)
Fast, Trainable, Multiscale Denoising
Sungjoon Choi
John Isidoro
IEEE International Conference on Image Processing (ICIP) (2018) (to appear)
Aperture Supervision for Monocular Depth Estimation
Pratul Srinivasan
Rahul Garg
Neal Wadhwa
Ren Ng
CVPR (2018) (to appear)