20 citations · 20 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
HOI-Swap: Swapping Objects in Videos with Hand-Object Interaction Awareness
Zihui Xue, Mi Luo, Changan Chen +1
We study the problem of precisely swapping objects in videos, with a focus on those interacted with by hands, given one user-provided reference object image. Despite the great adva…
Sim2Real Transfer for Audio-Visual Navigation with Frequency-Adaptive Acoustic Field Prediction
Changan Chen, Jordi Ramos, Anshul Tomar +1
Sim2real transfer has received increasing attention lately due to the success of learning robotic tasks in simulation end-to-end. While there has been a lot of progress in transfer…
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…
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-…