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20162026
most citedRTNet: Relation Transformer Network for Diabetic Retinopathy Multi-lesion Segmentation

233 citations · 693 across the 45 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.CV2026

Spectral-Aware Proposal Enhancement for Diffusion-Based Multispectral UAV Multi-Object Tracking

Xu Lin, Tingfa Xu, Tianhao Li +4

Multispectral UAV multi-object tracking (MOT) with oriented bounding boxes remains challenging due to small targets, cluttered backgrounds, and unstable inter-frame associations. A…

cs.CV2026

Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection

Yanyan Peng, Tingfa Xu, Yao Xiao +4

Hyperspectral salient object detection aims to identify visually salient regions from hyperspectral images. Existing methods often fail because they fundamentally misunderstand the…

cs.CV2026

Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection

Peng Zhang, Tingfa Xu, Shuaihao Han +1

Existing multispectral detectors are limited by discrete spectral processing, a scale-dependent shift in the relative reliability of spectral and spatial cues across pyramid levels…

cs.CV2026

Hyperspectral Image Classification via Efficient Global Spectral Supertoken Clustering

Peifu Liu, Tingfa Xu, Jie Wang +3

Hyperspectral image classification demands spatially coherent predictions and precise boundary delineation. Yet prevailing superpixel-based methods face an inherent contradiction:…

cs.CV2026

HyperCOD: The First Challenging Benchmark and Baseline for Hyperspectral Camouflaged Object Detection

Shuyan Bai, Tingfa Xu, Peifu Liu +5

RGB-based camouflaged object detection struggles in real-world scenarios where color and texture cues are ambiguous. While hyperspectral image offers a powerful alternative by capt…

cs.CV2026

Efficient Hyperspectral Image Reconstruction Using Lightweight Separate Spectral Transformers

Jianan Li, Wangcai Zhao, Tingfa Xu

Hyperspectral imaging (HSI) is essential across various disciplines for its capacity to capture rich spectral information. However, efficiently reconstructing hyperspectral images…