activity
20182026
most citedLook More Than Once: An Accurate Detector for Text of Arbitrary Shapes

18 citations · 28 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

DISPLAY: Directable Human-Object Interaction Video Generation via Sparse Motion Guidance and Multi-Task Auxiliary

Jiazhi Guan, Quanwei Yang, Luying Huang +7

Human-centric video generation has advanced rapidly, yet existing methods struggle to produce controllable and physically consistent Human-Object Interaction (HOI) videos. Existing…

cs.CV2025

AudCast: Audio-Driven Human Video Generation by Cascaded Diffusion Transformers

Jiazhi Guan, Kaisiyuan Wang, Zhiliang Xu +12

Despite the recent progress of audio-driven video generation, existing methods mostly focus on driving facial movements, leading to non-coherent head and body dynamics. Moving forw…

cs.CV2025

Cosh-DiT: Co-Speech Gesture Video Synthesis via Hybrid Audio-Visual Diffusion Transformers

Yasheng Sun, Zhiliang Xu, Hang Zhou +9

Co-speech gesture video synthesis is a challenging task that requires both probabilistic modeling of human gestures and the synthesis of realistic images that align with the rhythm…

cs.CV2024

ReSyncer: Rewiring Style-based Generator for Unified Audio-Visually Synced Facial Performer

Jiazhi Guan, Zhiliang Xu, Hang Zhou +10

Lip-syncing videos with given audio is the foundation for various applications including the creation of virtual presenters or performers. While recent studies explore high-fidelit…

cs.CV2019★ 18 cited

Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes

Chengquan Zhang, Borong Liang, Zuming Huang +4

Previous scene text detection methods have progressed substantially over the past years. However, limited by the receptive field of CNNs and the simple representations like rectang…

cs.CV2018★ 10 cited

Lightweight Pyramid Networks for Image Deraining

Xueyang Fu, Borong Liang, Yue Huang +2

Existing deep convolutional neural networks have found major success in image deraining, but at the expense of an enormous number of parameters. This limits their potential applica…