7 citations · 16 across the 6 of their papers we have counts for
6 papers
ForgeryTTT: Zero-Shot Image Manipulation Localization with Test-Time Training
Weihuang Liu, Xi Shen, Chi-Man Pun +1
Social media is increasingly plagued by realistic fake images, making it hard to trust content. Previous algorithms to detect these fakes often fail in new, real-world scenarios be…
SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation
Fuchen Zheng, Xuhang Chen, Weihuang Liu +5
In medical image segmentation, specialized computer vision techniques, notably transformers grounded in attention mechanisms and residual networks employing skip connections, have…
Depth-aware Test-Time Training for Zero-shot Video Object Segmentation
Weihuang Liu, Xi Shen, Haolun Li +4
Zero-shot Video Object Segmentation (ZSVOS) aims at segmenting the primary moving object without any human annotations. Mainstream solutions mainly focus on learning a single model…
Explicit Visual Prompting for Universal Foreground Segmentations
Weihuang Liu, Xi Shen, Chi-Man Pun +1
Foreground segmentation is a fundamental problem in computer vision, which includes salient object detection, forgery detection, defocus blur detection, shadow detection, and camou…
Explicit Visual Prompting for Low-Level Structure Segmentations
Weihuang Liu, Xi Shen, Chi-Man Pun +1
We consider the generic problem of detecting low-level structures in images, which includes segmenting the manipulated parts, identifying out-of-focus pixels, separating shadow reg…
CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying
Weihuang Liu, Xiaodong Cun, Chi-Man Pun +3
Image inpainting aims to fill the missing hole of the input. It is hard to solve this task efficiently when facing high-resolution images due to two reasons: (1) Large reception fi…