9 citations · 16 across the 9 of their papers we have counts for
9 papers · 1 filter
Progressive Pixel-Neighborhood Deformable Cross-Attention for Multispectral Object Detection
Tian Qiu, Jifeng Shen, Xin Zuo
Effective cross-modal feature alignment and interaction are central challenges in multispectral object detection. Although global cross-attention provides strong long-range modelin…
SFFR: Spatial-Frequency Feature Reconstruction for Multispectral Aerial Object Detection
Xin Zuo, Chenyu Qu, Haibo Zhan +2
Recent multispectral object detection methods have primarily focused on spatial-domain feature fusion based on CNNs or Transformers, while the potential of frequency-domain feature…
IRDFusion: Iterative Relation-Map Difference guided Feature Fusion for Multispectral Object Detection
Jifeng Shen, Haibo Zhan, Xin Zuo +4
Current multispectral object detection methods often retain extraneous background or noise during feature fusion, limiting perceptual performance. To address this, we propose an in…
Multispectral State-Space Feature Fusion: Bridging Shared and Cross-Parametric Interactions for Object Detection
Jifeng Shen, Haibo Zhan, Shaohua Dong +3
Modern multispectral feature fusion for object detection faces two critical limitations: (1) Excessive preference for local complementary features over cross-modal shared semantics…
Improving underwater semantic segmentation with underwater image quality attention and muti-scale aggregation attention
Xin Zuo, Jiaran Jiang, Jifeng Shen +1
Underwater image understanding is crucial for both submarine navigation and seabed exploration. However, the low illumination in underwater environments degrades the imaging qualit…
Topology-aware Mamba for Crack Segmentation in Structures
Xin Zuo, Yu Sheng, Jifeng Shen +1
CrackMamba, a Mamba-based model, is designed for efficient and accurate crack segmentation for monitoring the structural health of infrastructure. Traditional Convolutional Neural…
Multi-label Sewer Pipe Defect Recognition with Mask Attention Feature Enhancement and Label Correlation Learning
Xin Zuo, Yu Sheng, Jifeng Shen +1
The coexistence of multiple defect categories as well as the substantial class imbalance problem significantly impair the detection of sewer pipeline defects. To solve this problem…
SSPNet: Scale and Spatial Priors Guided Generalizable and Interpretable Pedestrian Attribute Recognition
Jifeng Shen, Teng Guo, Xin Zuo +2
Global feature based Pedestrian Attribute Recognition (PAR) models are often poorly localized when using Grad-CAM for attribute response analysis, which has a significant impact on…
ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection
Jifeng Shen, Yifei Chen, Yue Liu +3
Effective feature fusion of multispectral images plays a crucial role in multi-spectral object detection. Previous studies have demonstrated the effectiveness of feature fusion usi…