8 citations · 12 across the 13 of their papers we have counts for
14 papers
Energy-Structured Low-Rank Adaptation for Continual Learning
Longhua Li, Lei Qi, Qi Tian +1
While orthogonal subspace methods try to mitigate task interference in Continual Learning (CL), they often suffer from energy diffusion across the basis, hindering knowledge compac…
Data-Aware Model Merging in the Essential Subspace for Multi-Task Knowledge Aggregation
Longhua Li, Lei Qi, Xin Geng +1
Model merging enables training-free multi-task learning by aggregating knowledge from models fine-tuned from a shared checkpoint, but their task updates can interfere. Using proxy…
Model Merging in the Essential Subspace
Longhua Li, Lei Qi, Qi Tian +1
Model merging aims to integrate multiple task-specific fine-tuned models derived from a shared pre-trained checkpoint into a single multi-task model without additional training. De…
Stratified Knowledge-Density Super-Network for Scalable Vision Transformers
Longhua Li, Lei Qi, Xin Geng
Training and deploying multiple vision transformer (ViT) models for different resource constraints is costly and inefficient. To address this, we propose transforming a pre-trained…
One-Shot Knowledge Transfer for Scalable Person Re-Identification
Longhua Li, Lei Qi, Xin Geng
Edge computing in person re-identification (ReID) is crucial for reducing the load on central cloud servers and ensuring user privacy. Conventional compression methods for obtainin…
CILP-FGDI: Exploiting Vision-Language Model for Generalizable Person Re-Identification
Huazhong Zhao, Lei Qi, Xin Geng
The Visual Language Model, known for its robust cross-modal capabilities, has been extensively applied in various computer vision tasks. In this paper, we explore the use of CLIP (…
BatStyler: Advancing Multi-category Style Generation for Source-free Domain Generalization
Xiusheng Xu, Lei Qi, Jingyang Zhou +1
Source-Free Domain Generalization (SFDG) aims to develop a model that performs on unseen domains without relying on any source domains. However, the implementation remains constrai…
CLIP-DFGS: A Hard Sample Mining Method for CLIP in Generalizable Person Re-Identification
Huazhong Zhao, Lei Qi, Xin Geng
Recent advancements in pre-trained vision-language models like CLIP have shown promise in person re-identification (ReID) applications. However, their performance in generalizable…
ChipExpert: The Open-Source Integrated-Circuit-Design-Specific Large Language Model
Ning Xu, Zhaoyang Zhang, Lei Qi +17
The field of integrated circuit (IC) design is highly specialized, presenting significant barriers to entry and research and development challenges. Although large language models…
DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization
Yunlong Tang, Yuxuan Wan, Lei Qi +1
Source-Free Domain Generalization (SFDG) aims to develop a model that works for unseen target domains without relying on any source domain. Research in SFDG primarily bulids upon t…
A SAM-guided Two-stream Lightweight Model for Anomaly Detection
Chenghao Li, Lei Qi, Xin Geng
In industrial anomaly detection, model efficiency and mobile-friendliness become the primary concerns in real-world applications. Simultaneously, the impressive generalization capa…
DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory
Lei Qi, Peng Dong, Tan Xiong +2
Object detection in urban scenarios is crucial for autonomous driving in intelligent traffic systems. However, unlike conventional object detection tasks, urban-scene images vary g…
Scalable Label Distribution Learning for Multi-Label Classification
Xingyu Zhao, Yuexuan An, Lei Qi +1
Multi-label classification (MLC) refers to the problem of tagging a given instance with a set of relevant labels. Most existing MLC methods are based on the assumption that the cor…
Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification
Lei Qi, Lei Wang, Jing Huo +3
In person re-identification (Re-ID), supervised methods usually need a large amount of expensive label information, while unsupervised ones are still unable to deliver satisfactory…