activity
20162023
most citedLearning to Separate Object Sounds by Watching Unlabeled Video

28 citations · 180 across the 24 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.SD2023

RealImpact: A Dataset of Impact Sound Fields for Real Objects

Samuel Clarke, Ruohan Gao, Mason Wang +5

Objects make unique sounds under different perturbations, environment conditions, and poses relative to the listener. While prior works have modeled impact sounds and sound propaga…

cs.CV2023

The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects

Ruohan Gao, Yiming Dou, Hao Li +5

We introduce the ObjectFolder Benchmark, a benchmark suite of 10 tasks for multisensory object-centric learning, centered around object recognition, reconstruction, and manipulatio…

cs.RO2023

Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear

Ruohan Gao, Hao Li, Gokul Dharan +6

Developing embodied agents in simulation has been a key research topic in recent years. Exciting new tasks, algorithms, and benchmarks have been developed in various simulators. Ho…

cs.CV2023

An Extensible Multimodal Multi-task Object Dataset with Materials

Trevor Standley, Ruohan Gao, Dawn Chen +2

We present EMMa, an Extensible, Multimodal dataset of Amazon product listings that contains rich Material annotations. It contains more than 2.8 million objects, each with image(s)…

cs.CV2023★ 9 cited

Learning Object-Centric Neural Scattering Functions for Free-Viewpoint Relighting and Scene Composition

Hong-Xing Yu, Michelle Guo, Alireza Fathi +5

Photorealistic object appearance modeling from 2D images is a constant topic in vision and graphics. While neural implicit methods (such as Neural Radiance Fields) have shown high-…