activity
20182026
most citedPerfect match: Improved cross-modal embeddings for audio-visual synchronisation

109 citations · 258 across the 25 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

S3D: Sketch-Driven 3D Model Generation

Hail Song, Wonsik Shin, Naeun Lee +3

Generating high-quality 3D models from 2D sketches is a challenging task due to the inherent ambiguity and sparsity of sketch data. In this paper, we present S3D, a novel framework…

cs.CV2021★ 1 cited

Look Who's Talking: Active Speaker Detection in the Wild

You Jin Kim, Hee-Soo Heo, Soyeon Choe +5

In this work, we present a novel audio-visual dataset for active speaker detection in the wild. A speaker is considered active when his or her face is visible and the voice is audi…

cs.CV2021

Looking into Your Speech: Learning Cross-modal Affinity for Audio-visual Speech Separation

Jiyoung Lee, Soo-Whan Chung, Sunok Kim +2

In this paper, we address the problem of separating individual speech signals from videos using audio-visual neural processing. Most conventional approaches utilize frame-wise matc…

cs.CV2020

End-to-End Lip Synchronisation Based on Pattern Classification

You Jin Kim, Hee Soo Heo, Soo-Whan Chung +1

The goal of this work is to synchronise audio and video of a talking face using deep neural network models. Existing works have trained networks on proxy tasks such as cross-modal…

cs.CV2018★ 109 cited

Perfect match: Improved cross-modal embeddings for audio-visual synchronisation

Soo-Whan Chung, Joon Son Chung, Hong-Goo Kang

This paper proposes a new strategy for learning powerful cross-modal embeddings for audio-to-video synchronization. Here, we set up the problem as one of cross-modal retrieval, whe…