30 citations · 40 across the 3 of their papers we have counts for
3 papers
cs.CV2019★ 6 cited
Learning Correspondence from the Cycle-Consistency of Time
Xiaolong Wang, Allan Jabri, Alexei A. Efros
We introduce a self-supervised method for learning visual correspondence from unlabeled video. The main idea is to use cycle-consistency in time as free supervisory signal for lear…
cs.CV2019★ 4 cited
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments
Xueting Li, Sifei Liu, Kihwan Kim +3
Affordance modeling plays an important role in visual understanding. In this paper, we aim to predict affordances of 3D indoor scenes, specifically what human poses are afforded by…
cs.CV2014★ 30 cited
Designing Deep Networks for Surface Normal Estimation
Xiaolong Wang, David F. Fouhey, Abhinav Gupta
In the past few years, convolutional neural nets (CNN) have shown incredible promise for learning visual representations. In this paper, we use CNNs for the task of predicting surf…