484 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shandong Academy of SciencesCN58 papers
- Shandong UniversityCN15 papers
- Shandong Normal UniversityCN13 papers
- National University of SingaporeSG9 papers
- University of MacauMO8 papers
- Changchun Institute of TechnologyCN7 papers
- Institute of Oceanographic InstrumentationCN7 papers
- Deakin UniversityAU6 papers
- Shandong University of Finance and EconomicsCN6 papers
- Chinese Academy of SciencesCN5 papers
- Monash UniversityAU5 papers
- Northeast Electric Power UniversityCN5 papers
12 papers · 1 filter
Multimodal Industrial Anomaly Detection via Geometric Prior
Min Li, Jinghui He, Gang Li +3
The purpose of multimodal industrial anomaly detection is to detect complex geometric shape defects such as subtle surface deformations and irregular contours that are difficult to…
LampMark: Proactive Deepfake Detection via Training-Free Landmark Perceptual Watermarks
Tianyi Wang, Mengxiao Huang, Harry Cheng +2
Deepfake facial manipulation has garnered significant public attention due to its impacts on enhancing human experiences and posing privacy threats. Despite numerous passive algori…
Segment Anything Model is a Good Teacher for Local Feature Learning
Jingqian Wu, Rongtao Xu, Zach Wood-Doughty +3
Local feature detection and description play an important role in many computer vision tasks, which are designed to detect and describe keypoints in "any scene" and "any downstream…
Deepfake Detection: A Comprehensive Survey from the Reliability Perspective
Tianyi Wang, Xin Liao, Kam Pui Chow +2
The mushroomed Deepfake synthetic materials circulated on the internet have raised a profound social impact on politicians, celebrities, and individuals worldwide. In this survey,…
A Comprehensive Survey of Scene Graphs: Generation and Application
Xiaojun Chang, Pengzhen Ren, Pengfei Xu +3
Scene graph is a structured representation of a scene that can clearly express the objects, attributes, and relationships between objects in the scene. As computer vision technolog…
Dynamic Slimmable Network
Changlin Li, Guangrun Wang, Bing Wang +3
Current dynamic networks and dynamic pruning methods have shown their promising capability in reducing theoretical computation complexity. However, dynamic sparse patterns on convo…
Frame-wise Cross-modal Matching for Video Moment Retrieval
Haoyu Tang, Jihua Zhu, Meng Liu +2
Video moment retrieval targets at retrieving a moment in a video for a given language query. The challenges of this task include 1) the requirement of localizing the relevant momen…
Geodesic Paths for Image Segmentation with Implicit Region-based Homogeneity Enhancement
Da Chen, Jian Zhu, Xinxin Zhang +2
Minimal paths are regarded as a powerful and efficient tool for boundary detection and image segmentation due to its global optimality and the well-established numerical solutions…
A Generalized Asymmetric Dual-front Model for Active Contours and Image Segmentation
Da Chen, Jack Spencer, Jean-Marie Mirebeau +3
The Voronoi diagram-based dual-front active contour models are known as a powerful and efficient way for addressing the image segmentation and domain partitioning problems. In the…
Explainable Video Action Reasoning via Prior Knowledge and State Transitions
Tao Zhuo, Zhiyong Cheng, Peng Zhang +2
Human action analysis and understanding in videos is an important and challenging task. Although substantial progress has been made in past years, the explainability of existing me…
Quantifying and Alleviating the Language Prior Problem in Visual Question Answering
Yangyang Guo, Zhiyong Cheng, Liqiang Nie +3
Benefiting from the advancement of computer vision, natural language processing and information retrieval techniques, visual question answering (VQA), which aims to answer question…
Unsupervised Online Video Object Segmentation with Motion Property Understanding
Tao Zhuo, Zhiyong Cheng, Peng Zhang +2
Unsupervised video object segmentation aims to automatically segment moving objects over an unconstrained video without any user annotation. So far, only few unsupervised online me…