activity
20222026
most citedCrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspections

16 citations · 19 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2026

ViCo-SAM3: Vision-Conditioned Alignment for Open-Vocabulary Camouflaged Object Segmentation

Qiangqiang Zhou, Wenjun Tang, Yong Chen +2

Open-vocabulary camouflaged object segmentation (OVCOS) aims to segment unseen camouflaged objects under text guidance. We observe that SAM3 still suffers from a pronounced semanti…

cs.CV2026

TDFNet: Tri-projection Deformable Fusion Network for Panoramic Salient Object Detection

Qiangqiang Zhou, Jiacong Yu, Jiawei Xu +3

Recent years have witnessed the growing potential of panoramic salient object detection in robotic vision, virtual reality, and related applications. However, projecting spherical…

cs.CV2026

HVPNet: A Bio-Inspired Network for General Salient and Camouflaged Object Detection

Jiawei Xu, Qiangqiang Zhou, Zhouping Li +3

In recent years, most research on multimodal salient object detection (SOD) and camouflaged object detection (COD) typically aims to improve performance through complex cross-modal…

cs.CV2026

TP-Seg: Task-Prototype Framework for Unified Medical Lesion Segmentation

Jiawei Xu, Qiangqiang Zhou, Dandan Zhu +3

Building a unified model with a single set of parameters to efficiently handle diverse types of medical lesion segmentation has become a crucial objective for AI-assisted diagnosis…

cs.LG2025

Generative Adversarial Networks Bridging Art and Machine Intelligence

Junhao Song, Yichao Zhang, Ziqian Bi +25

Generative Adversarial Networks (GAN) have greatly influenced the development of computer vision and artificial intelligence in the past decade and also connected art and machine i…

cs.CV2024

SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification

Benjamin Feuer, Jiawei Xu, Niv Cohen +3

Data curation is the problem of how to collect and organize samples into a dataset that supports efficient learning. Despite the centrality of the task, little work has been devote…

cs.CV2024★ 16 cited

CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspections

Zhen Yao, Jiawei Xu, Shuhang Hou +1

Routine visual inspections of concrete structures are imperative for upholding the safety and integrity of critical infrastructure. Such visual inspections sometimes happen under l…

cs.CV2023

LLA-FLOW: A Lightweight Local Aggregation on Cost Volume for Optical Flow Estimation

Jiawei Xu, Zongqing Lu, Qingmin Liao

Lack of texture often causes ambiguity in matching, and handling this issue is an important challenge in optical flow estimation. Some methods insert stacked transformer modules th…

cs.CR2022★ 3 cited

SeqNet: An Efficient Neural Network for Automatic Malware Detection

Jiawei Xu, Wenxuan Fu, Haoyu Bu +2

Malware continues to evolve rapidly, and more than 450,000 new samples are captured every day, which makes manual malware analysis impractical. However, existing deep learning dete…