25 citations · 46 across the 9 of their papers we have counts for
9 papers
DSKC: Domain Style Modeling with Adaptive Knowledge Consolidation for Exemplar-free Lifelong Person Re-Identification
Shiben Liu, Mingyue Xu, Huijie Fan +3
Lifelong Person Re-identification (LReID) aims to continuously match individuals across camera views from sequential data streams. Existing LReID methods often ignore domain-specif…
ATSTrack: Enhancing Visual-Language Tracking by Aligning Temporal and Spatial Scales
Yihao Zhen, Qiang Wang, Yu Qiao +2
A main challenge of Visual-Language Tracking (VLT) is the misalignment between visual inputs and language descriptions caused by target movement. Previous trackers have explored ma…
Distribution-aware Forgetting Compensation for Exemplar-Free Lifelong Person Re-identification
Shiben Liu, Huijie Fan, Qiang Wang +3
Lifelong Person Re-identification (LReID) suffers from a key challenge in preserving old knowledge while adapting to new information. The existing solutions include rehearsal-based…
Domain Consistency Representation Learning for Lifelong Person Re-Identification
Shiben Liu, Huijie Fan, Qiang Wang +3
Lifelong person re-identification (LReID) exhibits a contradictory relationship between intra-domain discrimination and inter-domain gaps when learning from continuous data. Intra-…
GMT: Effective Global Framework for Multi-Camera Multi-Target Tracking
Yihao Zhen, Mingyue Xu, Qiang Wang +4
Multi-Camera Multi-Target (MCMT) tracking aims to locate and associate the same targets across multiple camera views. Existing methods typically adopt a two-stage framework, involv…
Diverse Representation Embedding for Lifelong Person Re-Identification
Shiben Liu, Huijie Fan, Qiang Wang +3
Lifelong Person Re-Identification (LReID) aims to continuously learn from successive data streams, matching individuals across multiple cameras. The key challenge for LReID is how…
Residual Denoising Diffusion Models
Jiawei Liu, Qiang Wang, Huijie Fan +3
We propose residual denoising diffusion models (RDDM), a novel dual diffusion process that decouples the traditional single denoising diffusion process into residual diffusion and…
Local Label Point Correction for Edge Detection of Overlapping Cervical Cells
Jiawei Liu, Huijie Fan, Qiang Wang +5
Accurate labeling is essential for supervised deep learning methods. However, it is almost impossible to accurately and manually annotate thousands of images, which results in many…
Data Poisoning Attacks on Federated Machine Learning
Gan Sun, Yang Cong, Jiahua Dong +2
Federated machine learning which enables resource constrained node devices (e.g., mobile phones and IoT devices) to learn a shared model while keeping the training data local, can…