108 citations · 206 across the 19 of their papers we have counts for
20 papers
Environment-Invariant Subspace Learning for Generalizable Deepfake Detection
Shenghao Chen, Hao Jia, Chen Li +3
Cross-distribution generalization remains a critical bottleneck in deepfake detection. While recent efforts leverage the semantic priors of large-scale visual foundation models (VF…
FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection
Yaning Zhang, Jiao Wu, Zan Gao +1
The challenge of fair deepfake detection (FDD) has attracted increasing attention. Existing fairness-enhanced detectors often suffer from suboptimal generalization to unseen manipu…
MFVLR: Multi-domain Fine-grained Vision-Language Reconstruction for Generalizable Diffusion Face Forgery Detection and Localization
Yaning Zhang, Tianyi Wang, Zan Gao +3
The swift advancement in photo-realistic face generation technology has sparked considerable concerns across society and academia, emphasizing the requirement of generalizable face…
PRGCN: A Graph Memory Network for Cross-Sequence Pattern Reuse in 3D Human Pose Estimation
Zhuoyang Xie, Yibo Zhao, Hui Huang +2
Monocular 3D human pose estimation remains a fundamentally ill-posed inverse problem due to the inherent depth ambiguity in 2D-to-3D lifting. While contemporary video-based methods…
PVLM: Parsing-Aware Vision Language Model with Dynamic Contrastive Learning for Zero-Shot Deepfake Attribution
Yaning Zhang, Jiahe Zhang, Chunjie Ma +3
The challenge of tracing the source attribution of forged faces has gained significant attention due to the rapid advancement of generative models. However, existing deepfake attri…
GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning
Yaning Zhang, Zitong Yu, Tianyi Wang +4
The rapid advancement of photorealistic generators has reached a critical juncture where the discrepancy between authentic and manipulated images is increasingly indistinguishable.…
Continual Learning with Strong Experience Replay
Tao Zhuo, Zhiyong Cheng, Zan Gao +2
Continual Learning (CL) aims at incrementally learning new tasks without forgetting the knowledge acquired from old ones. Experience Replay (ER) is a simple and effective rehearsal…
Identity-Guided Collaborative Learning for Cloth-Changing Person Reidentification
Zan Gao, Shenxun Wei, Weili Guan +3
Cloth-changing person reidentification (ReID) is a newly emerging research topic that is aimed at addressing the issues of large feature variations due to cloth-changing and pedest…
Multi-Behavior Recommendation with Cascading Graph Convolution Networks
Zhiyong Cheng, Sai Han, Fan Liu +3
Multi-behavior recommendation, which exploits auxiliary behaviors (e.g., click and cart) to help predict users' potential interactions on the target behavior (e.g., buy), is regard…
Temporal Action Localization with Multi-temporal Scales
Zan Gao, Xinglei Cui, Tao Zhuo +4
Temporal action localization plays an important role in video analysis, which aims to localize and classify actions in untrimmed videos. The previous methods often predict actions…
A Semantic-aware Attention and Visual Shielding Network for Cloth-changing Person Re-identification
Zan Gao, Hongwei Wei, Weili Guan +3
Cloth-changing person reidentification (ReID) is a newly emerging research topic that aims to retrieve pedestrians whose clothes are changed. Since the human appearance with differ…
Disentangled Graph Neural Networks for Session-based Recommendation
Ansong Li, Zhiyong Cheng, Fan Liu +3
Session-based recommendation (SBR) has drawn increasingly research attention in recent years, due to its great practical value by only exploiting the limited user behavior history…
A Novel Patch Convolutional Neural Network for View-based 3D Model Retrieval
Zan Gao, Yuxiang Shao, Weili Guan +3
Recently, many view-based 3D model retrieval methods have been proposed and have achieved state-of-the-art performance. Most of these methods focus on extracting more discriminativ…
Multigranular Visual-Semantic Embedding for Cloth-Changing Person Re-identification
Zan Gao, Hongwei Wei, Weili Guan +3
Person reidentification (ReID) is a very hot research topic in machine learning and computer vision, and many person ReID approaches have been proposed; however, most of these meth…
TBNet:Two-Stream Boundary-aware Network for Generic Image Manipulation Localization
Zan Gao, Chao Sun, Zhiyong Cheng +3
Finding tampered regions in images is a hot research topic in machine learning and computer vision. Although many image manipulation location algorithms have been proposed, most of…
Review Polarity-wise Recommender
Han Liu, Yangyang Guo, Jianhua Yin +2
Utilizing review information to enhance recommendation, the de facto review-involved recommender systems, have received increasing interests over the past few years. Thereinto, one…
Interest-aware Message-Passing GCN for Recommendation
Fan Liu, Zhiyong Cheng, Lei Zhu +2
Graph Convolution Networks (GCNs) manifest great potential in recommendation. This is attributed to their capability on learning good user and item embeddings by exploiting the col…
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…
Multiple Discrimination and Pairwise CNN for View-based 3D Object Retrieval
Z. Gao, K. X Xue, S. H Wan
With the rapid development and wide application of computer, camera device, network and hardware technology, 3D object (or model) retrieval has attracted widespread attention and i…
Local Shrunk Discriminant Analysis (LSDA)
Zan Gao, Guotai Zhang, Feiping Nie +1
Dimensionality reduction is a crucial step for pattern recognition and data mining tasks to overcome the curse of dimensionality. Principal component analysis (PCA) is a traditiona…