9 citations · 16 across the 15 of their papers we have counts for
15 papers
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…
DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection
Siheng Wang, Yanshu Li, Bohan Hu +12
Open-vocabulary object detection (OVOD) enables models to recognize objects beyond predefined categories, but existing approaches remain limited in practical deployment. On the one…
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…
JEPA-T: Joint-Embedding Predictive Architecture with Text Fusion for Image Generation
Siheng Wan, Zhengtao Yao, Zhengdao Li +9
Modern Text-to-Image (T2I) generation increasingly relies on token-centric architectures that are trained with self-supervision, yet effectively fusing text with visual tokens rema…
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…
C3-OWD: A Curriculum Cross-modal Contrastive Learning Framework for Open-World Detection
Siheng Wang, Zhengdao Li, Yanshu Li +12
Object detection has advanced significantly in the closed-set setting, but real-world deployment remains limited by two challenges: poor generalization to unseen categories and ins…
InceptionMamba: An Efficient Hybrid Network with Large Band Convolution and Bottleneck Mamba
Yuhang Wang, Jun Li, Zhijian Wu +3
Within the family of convolutional neural networks, InceptionNeXt has shown excellent competitiveness in image classification and a number of downstream tasks. Built on parallel on…
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…
DFMSD: Dual Feature Masking Stage-wise Knowledge Distillation for Object Detection
Zhourui Zhang, Jun Li, Zhijian Wu +2
In recent years, current mainstream feature masking distillation methods mainly function by reconstructing selectively masked regions of a student network from the feature maps of…
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…
EfficientFace: An Efficient Deep Network with Feature Enhancement for Accurate Face Detection
Guangtao Wang, Jun Li, Zhijian Wu +3
In recent years, deep convolutional neural networks (CNN) have significantly advanced face detection. In particular, lightweight CNNbased architectures have achieved great success…