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20232026
most citedErasure-based Interaction Network for RGBT Video Object Detection and A Unified Benchmark

2 citations · 2 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

Dual-Correlation Hypergraph Network for Unaligned RGBT Video Object Detection and A Large-scale Benchmark

Qishun Wang, Yapeng Li, Zhengzheng Tu +2

RGB-Thermal (RGBT) Video Object Detection (VOD) has gained significant attention because of the limitations of conventional RGB-based VOD methods under challenging conditions, such…

cs.CV2025

Multimodal Spatio-temporal Graph Learning for Alignment-free RGBT Video Object Detection

Qishun Wang, Zhengzheng Tu, Chenglong Li +1

RGB-Thermal Video Object Detection (RGBT VOD) can address the limitation of traditional RGB-based VOD in challenging lighting conditions, making it more practical and effective in…

cs.CV2024

SPT: Sparse Proxy Attention for Dual-stream Point Transformer

Jiaxu Wan, Hong Zhang, Ziqi He +4

Point transformers have demonstrated remarkable progress in 3D understanding through expanded receptive fields (RF), but further expanding the RF leads to dilution in group attenti…

cs.CV2024

Mixture of Scale Experts for Alignment-free RGBT Video Object Detection and A Unified Benchmark

Qishun Wang, Zhengzheng Tu, Kunpeng Wang +2

Existing RGB-Thermal Video Object Detection (RGBT VOD) methods predominantly rely on the manual alignment of image pairs, that is both labor-intensive and time-consuming. This depe…

cs.CV2023★ 2 cited

Erasure-based Interaction Network for RGBT Video Object Detection and A Unified Benchmark

Zhengzheng Tu, Qishun Wang, Hongshun Wang +2

Recently, many breakthroughs are made in the field of Video Object Detection (VOD), but the performance is still limited due to the imaging limitations of RGB sensors in adverse il…