research
∙
10/30/2020
Unsupervised Monocular Depth Learning in Dynamic Scenes
We present a method for jointly training the estimation of depth, ego-mo...
share
research
∙
06/08/2020
What Matters in Unsupervised Optical Flow
We systematically compare and analyze a set of key components in unsuper...
research
∙
05/14/2020
Taskology: Utilizing Task Relations at Scale
It has been recognized that the joint training of computer vision tasks ...
research
∙
04/11/2020
Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos
We leverage unsupervised learning of depth, egomotion, and camera intrin...
research
∙
01/23/2020
Detecting Deficient Coverage in Colonoscopies
Colorectal Cancer (CRC) is a global health problem, resulting in 900K de...
research
∙
12/18/2019
Computationally Efficient Neural Image Compression
Image compression using neural networks have reached or exceeded non-neu...
research
∙
04/10/2019
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras
We present a novel method for simultaneous learning of depth, egomotion,...
research
∙
11/18/2017
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks
We present MorphNet, an approach to automate the design of neural networ...
research
∙
08/16/2016