papers

Publications (10)

cs.CV2020

Improved Mutual Mean-Teaching for Unsupervised Domain Adaptive Re-ID

Yixiao Ge, Shijie Yu, Dapeng Chen

In this technical report, we present our submission to the VisDA Challenge in ECCV 2020 and we achieved one of the top-performing results on the leaderboard. Our solution is based…

cs.CV2025

CrackESS: A Self-Prompting Crack Segmentation System for Edge Devices

Yingchu Wang, Ji He, Shijie Yu

Structural Health Monitoring (SHM) is a sustainable and essential approach for infrastructure maintenance, enabling the early detection of structural defects. Leveraging computer v…

cs.CV2021

Neighbourhood-guided Feature Reconstruction for Occluded Person Re-Identification

Shijie Yu, Dapeng Chen, Rui Zhao +2

Person images captured by surveillance cameras are often occluded by various obstacles, which lead to defective feature representation and harm person re-identification (Re-ID) per…

cs.CV2026

Explainable Deepfake Detection with RL Enhanced Self-Blended Images

Ning Jiang, Dingheng Zeng, Yanhong Liu +5

Most prior deepfake detection methods lack explainable outputs. With the growing interest in multimodal large language models (MLLMs), researchers have started exploring their use…

cs.CV2020

COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification

Shijie Yu, Shihua Li, Dapeng Chen +3

Recent years have witnessed great progress in person re-identification (re-id). Several academic benchmarks such as Market1501, CUHK03 and DukeMTMC play important roles to promote…

cs.CV2021

Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification

Shijie Yu, Feng Zhu, Dapeng Chen +5

Recent years have witnessed significant progress in person re-identification (ReID). However, current ReID approaches still suffer from considerable performance degradation when un…

cs.CV2021

Layerwise Optimization by Gradient Decomposition for Continual Learning

Shixiang Tang, Dapeng Chen, Jinguo Zhu +2

Deep neural networks achieve state-of-the-art and sometimes super-human performance across various domains. However, when learning tasks sequentially, the networks easily forget th…

cs.CV2021

Complementary Relation Contrastive Distillation

Jinguo Zhu, Shixiang Tang, Dapeng Chen +5

Knowledge distillation aims to transfer representation ability from a teacher model to a student model. Previous approaches focus on either individual representation distillation o…

cs.CV2026

Unified Face Attack Detection via Fine-Grained Semantic Guidance

Ning Jiang, Shijie Yu, Dingheng Zeng +4

The growing applications of facial recognition systems are accompanied by increasingly diverse security threats. Existing datasets lack detailed textual descriptions of forgery cue…

math.OC2025

Orthogonal Constrained Minimization with Tensor Regularization for HSI Denoising and Destriping

Xiaoxia Liu, Shijie Yu, Jian Lu +1

Hyperspectral images~(HSIs) are often contaminated by a mixture of noise such as Gaussian noise, dead lines, stripes, and so on. In this paper, we propose a multi-scale low-rank te…