activity
20192025
most citedGenerating Visually Aligned Sound from Videos

84 citations · 199 across the 23 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 16 cited

RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning

Peihao Chen, Deng Huang, Dongliang He +5

We study unsupervised video representation learning that seeks to learn both motion and appearance features from unlabeled video only, which can be reused for downstream tasks such…

cs.CV2020★ 4 cited

Location-aware Graph Convolutional Networks for Video Question Answering

Deng Huang, Peihao Chen, Runhao Zeng +3

We addressed the challenging task of video question answering, which requires machines to answer questions about videos in a natural language form. Previous state-of-the-art method…

cs.CV2020★ 10 cited

Foley Music: Learning to Generate Music from Videos

Chuang Gan, Deng Huang, Peihao Chen +2

In this paper, we introduce Foley Music, a system that can synthesize plausible music for a silent video clip about people playing musical instruments. We first identify two key in…

cs.CV2020★ 84 cited

Generating Visually Aligned Sound from Videos

Peihao Chen, Yang Zhang, Mingkui Tan +3

We focus on the task of generating sound from natural videos, and the sound should be both temporally and content-wise aligned with visual signals. This task is extremely challengi…

cs.CV2020★ 15 cited

Dense Regression Network for Video Grounding

Runhao Zeng, Haoming Xu, Wenbing Huang +3

We address the problem of video grounding from natural language queries. The key challenge in this task is that one training video might only contain a few annotated starting/endin…