activity
20212026
most citedGeneral Facial Representation Learning in a Visual-Linguistic Manner

5 citations · 10 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2026

CoCoVideo: The High-Quality Commercial-Model-Based Contrastive Benchmark for AI-Generated Video Detection

Huidong Feng, Wentao Chen, Jie Chen +5

With the rapid advancement of artificial intelligence generated content (AIGC) technologies, video forgery has become increasingly prevalent, posing new challenges to public discou…

cs.CV2026

FaceRefiner: High-Fidelity Facial Texture Refinement with Differentiable Rendering-based Style Transfer

Chengyang Li, Baoping Cheng, Yao Cheng +5

Recent facial texture generation methods prefer to use deep networks to synthesize image content and then fill in the UV map, thus generating a compelling full texture from a singl…

cs.CV2025

RISE-T2V: Rephrasing and Injecting Semantics with LLM for Expansive Text-to-Video Generation

Xiangjun Zhang, Litong Gong, Yinglin Zheng +6

Most text-to-video(T2V) diffusion models depend on pre-trained text encoders for semantic alignment, yet they often fail to maintain video quality when provided with concise prompt…

cs.CV2025

HairShifter: Consistent and High-Fidelity Video Hair Transfer via Anchor-Guided Animation

Wangzheng Shi, Yinglin Zheng, Yuxin Lin +3

Hair transfer is increasingly valuable across domains such as social media, gaming, advertising, and entertainment. While significant progress has been made in single-image hair tr…

cs.CL2025

Predicting Turn-Taking and Backchannel in Human-Machine Conversations Using Linguistic, Acoustic, and Visual Signals

Yuxin Lin, Yinglin Zheng, Ming Zeng +1

This paper addresses the gap in predicting turn-taking and backchannel actions in human-machine conversations using multi-modal signals (linguistic, acoustic, and visual). To overc…

cs.CV2023

EMEF: Ensemble Multi-Exposure Image Fusion

Renshuai Liu, Chengyang Li, Haitao Cao +3

Although remarkable progress has been made in recent years, current multi-exposure image fusion (MEF) research is still bounded by the lack of real ground truth, objective evaluati…

cs.GR2023★ 1 cited

MusicFace: Music-driven Expressive Singing Face Synthesis

Pengfei Liu, Wenjin Deng, Hengda Li +5

It is still an interesting and challenging problem to synthesize a vivid and realistic singing face driven by music signal. In this paper, we present a method for this task with na…

cs.CV2022★ 1 cited

MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining

Xiaoyi Dong, Jianmin Bao, Yinglin Zheng +9

This paper presents a simple yet effective framework MaskCLIP, which incorporates a newly proposed masked self-distillation into contrastive language-image pretraining. The core id…

cs.CV2022★ 3 cited

I^2R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation

Yiwei Ding, Wenjin Deng, Yinglin Zheng +6

In this paper, we present the Intra- and Inter-Human Relation Networks (I^2R-Net) for Multi-Person Pose Estimation. It involves two basic modules. First, the Intra-Human Relation M…

cs.CV2021★ 5 cited

General Facial Representation Learning in a Visual-Linguistic Manner

Yinglin Zheng, Hao Yang, Ting Zhang +7

How to learn a universal facial representation that boosts all face analysis tasks? This paper takes one step toward this goal. In this paper, we study the transfer performance of…

cs.CV2021

Exploring Temporal Coherence for More General Video Face Forgery Detection

Yinglin Zheng, Jianmin Bao, Dong Chen +2

Although current face manipulation techniques achieve impressive performance regarding quality and controllability, they are struggling to generate temporal coherent face videos. I…