activity
20152023
most citedMore Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch

374 citations · 944 across the 24 of their papers we have counts for

collaborators
Showing 2022Show all

6 papers · 1 filter

cs.CV2022★ 20 cited

Touch and Go: Learning from Human-Collected Vision and Touch

Fengyu Yang, Chenyang Ma, Jiacheng Zhang +3

The ability to associate touch with sight is essential for tasks that require physically interacting with objects in the world. We propose a dataset with paired visual and tactile…

cs.CV2022

Mix and Localize: Localizing Sound Sources in Mixtures

Xixi Hu, Ziyang Chen, Andrew Owens

We present a method for simultaneously localizing multiple sound sources within a visual scene. This task requires a model to both group a sound mixture into individual sources, an…

cs.CV2022

Learning Visual Styles from Audio-Visual Associations

Tingle Li, Yichen Liu, Andrew Owens +1

From the patter of rain to the crunch of snow, the sounds we hear often convey the visual textures that appear within a scene. In this paper, we present a method for learning visua…

cs.CV2022

Sound Localization by Self-Supervised Time Delay Estimation

Ziyang Chen, David F. Fouhey, Andrew Owens

Sounds reach one microphone in a stereo pair sooner than the other, resulting in an interaural time delay that conveys their directions. Estimating a sound's time delay requires fi…

cs.CV2022★ 1 cited

Learning Pixel Trajectories with Multiscale Contrastive Random Walks

Zhangxing Bian, Allan Jabri, Alexei A. Efros +1

A range of video modeling tasks, from optical flow to multiple object tracking, share the same fundamental challenge: establishing space-time correspondence. Yet, approaches that d…

cs.CV2022★ 1 cited

GANmouflage: 3D Object Nondetection with Texture Fields

Rui Guo, Jasmine Collins, Oscar de Lima +1

We propose a method that learns to camouflage 3D objects within scenes. Given an object's shape and a distribution of viewpoints from which it will be seen, we estimate a texture t…