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 2023Show all

6 papers · 1 filter

cs.CV2023★ 2 cited

Conditional Generation of Audio from Video via Foley Analogies

Yuexi Du, Ziyang Chen, Justin Salamon +2

The sound effects that designers add to videos are designed to convey a particular artistic effect and, thus, may be quite different from a scene's true sound. Inspired by the chal…

cs.CV2023★ 2 cited

Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment

Kim Sung-Bin, Arda Senocak, Hyunwoo Ha +2

How does audio describe the world around us? In this paper, we propose a method for generating an image of a scene from sound. Our method addresses the challenges of dealing with t…

cs.CV2023★ 1 cited

Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models

Lukas Höllein, Ang Cao, Andrew Owens +2

We present Text2Room, a method for generating room-scale textured 3D meshes from a given text prompt as input. To this end, we leverage pre-trained 2D text-to-image models to synth…

cs.CV2023★ 1 cited

Sound Localization from Motion: Jointly Learning Sound Direction and Camera Rotation

Ziyang Chen, Shengyi Qian, Andrew Owens

The images and sounds that we perceive undergo subtle but geometrically consistent changes as we rotate our heads. In this paper, we use these cues to solve a problem we call Sound…

cs.CV2023

EXIF as Language: Learning Cross-Modal Associations Between Images and Camera Metadata

Chenhao Zheng, Ayush Shrivastava, Andrew Owens

We learn a visual representation that captures information about the camera that recorded a given photo. To do this, we train a multimodal embedding between image patches and the E…

cs.CV2023★ 3 cited

Self-Supervised Video Forensics by Audio-Visual Anomaly Detection

Chao Feng, Ziyang Chen, Andrew Owens

Manipulated videos often contain subtle inconsistencies between their visual and audio signals. We propose a video forensics method, based on anomaly detection, that can identify t…