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20232026
most citedMMDRFuse: Distilled Mini-Model with Dynamic Refresh for Multi-Modality Image Fusion

15 citations · 22 across the 24 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections

Youwei Zhou, Tianyang Xu, Cong Wu +2

The shared topology of human skeletons motivated the recent investigation of graph convolutional network (GCN) solutions for action recognition. However, most of the existing GCNs…

cs.CV2024★ 2 cited

SMLNet: A SPD Manifold Learning Network for Infrared and Visible Image Fusion

Huan Kang, Hui Li, Tianyang Xu +4

Euclidean representation learning methods have achieved promising results in image fusion tasks, which can be attributed to their clear advantages in handling with linear space. Ho…

cs.CV2024

Dynamic Subframe Splitting and Spatio-Temporal Motion Entangled Sparse Attention for RGB-E Tracking

Pengcheng Shao, Tianyang Xu, Xuefeng Zhu +2

Event-based bionic camera asynchronously captures dynamic scenes with high temporal resolution and high dynamic range, offering potential for the integration of events and RGB unde…

cs.CV2024★ 15 cited

MMDRFuse: Distilled Mini-Model with Dynamic Refresh for Multi-Modality Image Fusion

Yanglin Deng, Tianyang Xu, Chunyang Cheng +2

In recent years, Multi-Modality Image Fusion (MMIF) has been applied to many fields, which has attracted many scholars to endeavour to improve the fusion performance. However, the…

cs.CV2024★ 1 cited

TENet: Targetness Entanglement Incorporating with Multi-Scale Pooling and Mutually-Guided Fusion for RGB-E Object Tracking

Pengcheng Shao, Tianyang Xu, Zhangyong Tang +3

There is currently strong interest in improving visual object tracking by augmenting the RGB modality with the output of a visual event camera that is particularly informative abou…

cs.CV2024

An Improved Graph Pooling Network for Skeleton-Based Action Recognition

Cong Wu, Xiao-Jun Wu, Tianyang Xu +1

Pooling is a crucial operation in computer vision, yet the unique structure of skeletons hinders the application of existing pooling strategies to skeleton graph modelling. In this…