activity
20172026
most citedGromov-Wasserstein Learning for Graph Matching and Node Embedding

88 citations · 197 across the 18 of their papers we have counts for

collaborators

19 papers

cs.CV2026

Consistent Feature Transport for Image Relighting

Bohan Zhang, Huanwei Liang, Yuhan He +5

Image relighting modifies illumination while preserving non-lighting content such as identity and geometry. Existing diffusion-based methods often suffer from unstable illumination…

cs.CV2025

Self-Paced and Self-Corrective Masked Prediction for Movie Trailer Generation

Sidan Zhu, Hongteng Xu, Dixin Luo

As a challenging video editing task, movie trailer generation involves selecting and reorganizing movie shots to create engaging trailers. Currently, most existing automatic traile…

cs.CV2024

Efficient Video Face Enhancement with Enhanced Spatial-Temporal Consistency

Yutong Wang, Jiajie Teng, Jiajiong Cao +4

As a very common type of video, face videos often appear in movies, talk shows, live broadcasts, and other scenes. Real-world online videos are often plagued by degradations such a…

cs.MM2024

An Inverse Partial Optimal Transport Framework for Music-guided Movie Trailer Generation

Yutong Wang, Sidan Zhu, Hongteng Xu +1

Trailer generation is a challenging video clipping task that aims to select highlighting shots from long videos like movies and re-organize them in an attractive way. In this study…

cs.CV2024

Generalizable Face Landmarking Guided by Conditional Face Warping

Jiayi Liang, Haotian Liu, Hongteng Xu +1

As a significant step for human face modeling, editing, and generation, face landmarking aims at extracting facial keypoints from images. A generalizable face landmarker is require…

cs.AI2023

Robust Graph Matching Using An Unbalanced Hierarchical Optimal Transport Framework

Haoran Cheng, Dixin Luo, Hongteng Xu

Graph matching is one of the most significant graph analytic tasks, which aims to find the node correspondence across different graphs. Most existing graph matching approaches main…