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20232026
most citedVideo Understanding with Large Language Models: A Survey

8 citations · 19 across the 22 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023★ 8 cited

Video Understanding with Large Language Models: A Survey

Yolo Y. Tang, Jing Bi, Siting Xu +17

With the burgeoning growth of online video platforms and the escalating volume of video content, the demand for proficient video understanding tools has intensified markedly. Given…

cs.SD2023★ 3 cited

Neural Acoustic Context Field: Rendering Realistic Room Impulse Response With Neural Fields

Susan Liang, Chao Huang, Yapeng Tian +2

Room impulse response (RIR), which measures the sound propagation within an environment, is critical for synthesizing high-fidelity audio for a given environment. Some prior work h…

cs.CV2023★ 2 cited

High-Quality Visually-Guided Sound Separation from Diverse Categories

Chao Huang, Susan Liang, Yapeng Tian +2

We propose DAVIS, a Diffusion-based Audio-VIsual Separation framework that solves the audio-visual sound source separation task through generative learning. Existing methods typica…

cs.CV2023

Egocentric Audio-Visual Object Localization

Chao Huang, Yapeng Tian, Anurag Kumar +1

Humans naturally perceive surrounding scenes by unifying sound and sight in a first-person view. Likewise, machines are advanced to approach human intelligence by learning with mul…

cs.CV2023★ 6 cited

AV-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene Synthesis

Susan Liang, Chao Huang, Yapeng Tian +2

Can machines recording an audio-visual scene produce realistic, matching audio-visual experiences at novel positions and novel view directions? We answer it by studying a new task…