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20192026
most citedDoubly Contrastive Deep Clustering

11 citations · 14 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

A Bridge from Audio to Video: Phoneme-Viseme Alignment Allows Every Face to Speak Multiple Languages

Zibo Su, Kun Wei, Jiahua Li +3

Speech-driven talking face synthesis (TFS) focuses on generating lifelike facial animations from speech input. Current TFS models perform well in English but struggle with non-Engl…

cs.CV2025

Perceive, Verify and Understand Long Video: Multi-Granular Perception and Active Verification via Interactive Agents

Jiahua Li, Zhanhe Zhang, Chenghao Xu +4

Long videos, characterized by temporal complexity and sparse task-relevant information, pose significant reasoning challenges for AI systems. Although existing Large Language Model…

cs.CV20241 cited

Do You Guys Want to Dance: Zero-Shot Compositional Human Dance Generation with Multiple Persons

Zhe Xu, Kun Wei, Xu Yang +1

Human dance generation (HDG) aims to synthesize realistic videos from images and sequences of driving poses. Despite great success, existing methods are limited to generating video…

cs.CV202111 cited

Doubly Contrastive Deep Clustering

Zhiyuan Dang, Cheng Deng, Xu Yang +1

Deep clustering successfully provides more effective features than conventional ones and thus becomes an important technique in current unsupervised learning. However, most deep cl…

cs.CV20202 cited

Incremental Embedding Learning via Zero-Shot Translation

Kun Wei, Cheng Deng, Xu Yang +1

Modern deep learning methods have achieved great success in machine learning and computer vision fields by learning a set of pre-defined datasets. Howerver, these methods perform u…