8 citations · 14 across the 8 of their papers we have counts for
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NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild
Aleksandr Gushchin, Khaled Abud, Ekaterina Shumitskaya +51
This paper presents an overview of the NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild, held in conjunction with the NTIRE workshop at CVPR 2026. The goal o…
Fast Model-guided Instance-wise Adaptation Framework for Real-world Pansharpening with Fidelity Constraints
Zhiqi Yang, Jin-Liang Xiao, Shan Yin +2
Pansharpening aims to generate high-resolution multispectral (HRMS) images by fusing low-resolution multispectral (LRMS) and high-resolution panchromatic (PAN) images while preserv…
DB-MSMUNet:Dual Branch Multi-scale Mamba UNet for Pancreatic CT Scans Segmentation
Qiu Guan, Zhiqiang Yang, Dezhang Ye +3
Accurate segmentation of the pancreas and its lesions in CT scans is crucial for the precise diagnosis and treatment of pancreatic cancer. However, it remains a highly challenging…
VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images
Mingxuan Sun, Juntao Jiang, Zhiqiang Yang +21
Microalgae, vital for ecological balance and economic sectors, present challenges in detection due to their diverse sizes and conditions. This paper summarizes the second "Vision M…
MHAF-YOLO: Multi-Branch Heterogeneous Auxiliary Fusion YOLO for accurate object detection
Zhiqiang Yang, Qiu Guan, Zhongwen Yu +5
Due to the effective multi-scale feature fusion capabilities of the Path Aggregation FPN (PAFPN), it has become a widely adopted component in YOLO-based detectors. However, PAFPN s…
IAFI-FCOS: Intra- and across-layer feature interaction FCOS model for lesion detection of CT images
Qiu Guan, Mengjie Pan, Feng Chen +4
Effective lesion detection in medical image is not only rely on the features of lesion region,but also deeply relative to the surrounding information.However,most current methods h…
LSM-YOLO: A Compact and Effective ROI Detector for Medical Detection
Zhongwen Yu, Qiu Guan, Jianmin Yang +4
In existing medical Region of Interest (ROI) detection, there lacks an algorithm that can simultaneously satisfy both real-time performance and accuracy, not meeting the growing de…
Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection
Zhiqiang Yang, Qiu Guan, Keer Zhao +4
Due to the effective performance of multi-scale feature fusion, Path Aggregation FPN (PAFPN) is widely employed in YOLO detectors. However, it cannot efficiently and adaptively int…