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cs.CV2024

The Language of Motion: Unifying Verbal and Non-verbal Language of 3D Human Motion

Changan Chen, Juze Zhang, Shrinidhi K. Lakshmikanth +5

Human communication is inherently multimodal, involving a combination of verbal and non-verbal cues such as speech, facial expressions, and body gestures. Modeling these behaviors…

cs.CV2024

Action2Sound: Ambient-Aware Generation of Action Sounds from Egocentric Videos

Changan Chen, Puyuan Peng, Ami Baid +4

Generating realistic audio for human actions is important for many applications, such as creating sound effects for films or virtual reality games. Existing approaches implicitly a…

cs.CV2024

ActiveRIR: Active Audio-Visual Exploration for Acoustic Environment Modeling

Arjun Somayazulu, Sagnik Majumder, Changan Chen +1

An environment acoustic model represents how sound is transformed by the physical characteristics of an indoor environment, for any given source/receiver location. Traditional meth…

cs.CV2024

SoundingActions: Learning How Actions Sound from Narrated Egocentric Videos

Changan Chen, Kumar Ashutosh, Rohit Girdhar +2

We propose a novel self-supervised embedding to learn how actions sound from narrated in-the-wild egocentric videos. Whereas existing methods rely on curated data with known audio-…

cs.CV2023

Replay: Multi-modal Multi-view Acted Videos for Casual Holography

Roman Shapovalov, Yanir Kleiman, Ignacio Rocco +6

We introduce Replay, a collection of multi-view, multi-modal videos of humans interacting socially. Each scene is filmed in high production quality, from different viewpoints with…