activity
20232025
most citedOn the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning

6 citations · 14 across the 5 of their papers we have counts for

collaborators

9 papers

cs.CV2025

No Pixel Left Behind: A Detail-Preserving Architecture for Robust High-Resolution AI-Generated Image Detection

Lianrui Mu, Zou Xingze, Jianhong Bai +7

The rapid growth of high-resolution, meticulously crafted AI-generated images poses a significant challenge to existing detection methods, which are often trained and evaluated on…

cs.CV2025

ReCamMaster: Camera-Controlled Generative Rendering from A Single Video

Jianhong Bai, Menghan Xia, Xiao Fu +8

Camera control has been actively studied in text or image conditioned video generation tasks. However, altering camera trajectories of a given video remains under-explored, despite…

cs.CV2024

SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints

Jianhong Bai, Menghan Xia, Xintao Wang +6

Recent advancements in video diffusion models have shown exceptional abilities in simulating real-world dynamics and maintaining 3D consistency. This progress inspires us to invest…

cs.CV20242 cited

UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing

Jianhong Bai, Tianyu He, Yuchi Wang +4

Recent advances in text-guided video editing have showcased promising results in appearance editing (e.g., stylization). However, video motion editing in the temporal dimension (e.…

cs.LG20236 cited

Fast Model Debias with Machine Unlearning

Ruizhe Chen, Jianfei Yang, Huimin Xiong +7

Recent discoveries have revealed that deep neural networks might behave in a biased manner in many real-world scenarios. For instance, deep networks trained on a large-scale face r…

cs.CV2023

TeG-DG: Textually Guided Domain Generalization for Face Anti-Spoofing

Lianrui Mu, Jianhong Bai, Xiaoxuan He +5

Enhancing the domain generalization performance of Face Anti-Spoofing (FAS) techniques has emerged as a research focus. Existing methods are dedicated to extracting domain-invarian…