140 citations · 415 across the 43 of their papers we have counts for
43 papers
Sketch Video Synthesis
Yudian Zheng, Xiaodong Cun, Menghan Xia +1
Understanding semantic intricacies and high-level concepts is essential in image sketch generation, and this challenge becomes even more formidable when applied to the domain of vi…
MedPrompt: Cross-Modal Prompting for Multi-Task Medical Image Translation
Xuhang Chen, Chi-Man Pun, Shuqiang Wang
Cross-modal medical image translation is an essential task for synthesizing missing modality data for clinical diagnosis. However, current learning-based techniques have limitation…
UWFormer: Underwater Image Enhancement via a Semi-Supervised Multi-Scale Transformer
Weiwen Chen, Yingtie Lei, Shenghong Luo +3
Underwater images often exhibit poor quality, distorted color balance and low contrast due to the complex and intricate interplay of light, water, and objects. Despite the signific…
ShaDocFormer: A Shadow-Attentive Threshold Detector With Cascaded Fusion Refiner for Document Shadow Removal
Weiwen Chen, Yingtie Lei, Shenghong Luo +3
Document shadow is a common issue that arises when capturing documents using mobile devices, which significantly impacts readability. Current methods encounter various challenges,…
RBA-GCN: Relational Bilevel Aggregation Graph Convolutional Network for Emotion Recognition
Lin Yuan, Guoheng Huang, Fenghuan Li +3
Emotion recognition in conversation (ERC) has received increasing attention from researchers due to its wide range of applications.As conversation has a natural graph structure,num…
AdaBrowse: Adaptive Video Browser for Efficient Continuous Sign Language Recognition
Lianyu Hu, Liqing Gao, Zekang Liu +2
Raw videos have been proven to own considerable feature redundancy where in many cases only a portion of frames can already meet the requirements for accurate recognition. In this…
High-Resolution Document Shadow Removal via A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing Net
Zinuo Li, Xuhang Chen, Chi-Man Pun +1
Shadows often occur when we capture the documents with casual equipment, which influences the visual quality and readability of the digital copies. Different from the algorithms fo…
Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer With Adaptive Channel Expansion
Shenghong Luo, Xuhang Chen, Weiwen Chen +3
Vignetting commonly occurs as a degradation in images resulting from factors such as lens design, improper lens hood usage, and limitations in camera sensors. This degradation affe…
DocDeshadower: Frequency-Aware Transformer for Document Shadow Removal
Ziyang Zhou, Yingtie Lei, Xuhang Chen +4
Shadows in scanned documents pose significant challenges for document analysis and recognition tasks due to their negative impact on visual quality and readability. Current shadow…
Reversible Adversarial Examples with Beam Search Attack and Grayscale Invariance
Haodong Zhang, Chi Man Pun, Xia Du
Reversible adversarial examples (RAE) combine adversarial attacks and reversible data-hiding technology on a single image to prevent illegal access. Most RAE studies focus on achie…
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…
Brain Imaging-to-Graph Generation using Adversarial Hierarchical Diffusion Models for MCI Causality Analysis
Qiankun Zuo, Hao Tian, Chi-Man Pun +3
Effective connectivity can describe the causal patterns among brain regions. These patterns have the potential to reveal the pathological mechanism and promote early diagnosis and…
Quaternion-valued Correlation Learning for Few-Shot Semantic Segmentation
Zewen Zheng, Guoheng Huang, Xiaochen Yuan +3
Few-shot segmentation (FSS) aims to segment unseen classes given only a few annotated samples. Encouraging progress has been made for FSS by leveraging semantic features learned fr…
Locality Preserving Multiview Graph Hashing for Large Scale Remote Sensing Image Search
Wenyun Li, Guo Zhong, Xingyu Lu +1
Hashing is very popular for remote sensing image search. This article proposes a multiview hashing with learnable parameters to retrieve the queried images for a large-scale remote…
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…
Brain Diffuser: An End-to-End Brain Image to Brain Network Pipeline
Xuhang Chen, Baiying Lei, Chi-Man Pun +1
Brain network analysis is essential for diagnosing and intervention for Alzheimer's disease (AD). However, previous research relied primarily on specific time-consuming and subject…
Robust Digital Watermarking Method Based on Adaptive Feature Area Extraction and Local Histogram Shifting
Zi-yu Jiang, Chi-Man Pun, Xiao-Chen Yuan +1
A new local watermarking method based on histogram shifting has been proposed in this paper to deal with various signal processing attacks (e.g. median filtering, JPEG compression…
A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement
Zinuo Li, Xuhang Chen, Shuqiang Wang +1
Film, a classic image style, is culturally significant to the whole photographic industry since it marks the birth of photography. However, film photography is time-consuming and e…
WavEnhancer: Unifying Wavelet and Transformer for Image Enhancement
Zinuo Li, Xuhang Chen, Chi-Man Pun +1
Image enhancement is a technique that frequently utilized in digital image processing. In recent years, the popularity of learning-based techniques for enhancing the aesthetic perf…
ShaDocNet: Learning Spatial-Aware Tokens in Transformer for Document Shadow Removal
Xuhang Chen, Xiaodong Cun, Chi-Man Pun +1
Shadow removal improves the visual quality and legibility of digital copies of documents. However, document shadow removal remains an unresolved subject. Traditional techniques rel…
Asymmetric Scalable Cross-modal Hashing
Wenyun Li, Chi-Man Pun
Cross-modal hashing is a successful method to solve large-scale multimedia retrieval issue. A lot of matrix factorization-based hashing methods are proposed. However, the existing…
Arbitrary Style Transfer with Structure Enhancement by Combining the Global and Local Loss
Lizhen Long, Chi-Man Pun
Arbitrary style transfer generates an artistic image which combines the structure of a content image and the artistic style of the artwork by using only one trained network. The im…
Image Harmonization with Region-wise Contrastive Learning
Jingtang Liang, Chi-Man Pun
Image harmonization task aims at harmonizing different composite foreground regions according to specific background image. Previous methods would rather focus on improving the rec…