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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 2023Show all

6 papers · 1 filter

cs.CV2023

Factorization Vision Transformer: Modeling Long Range Dependency with Local Window Cost

Haolin Qin, Daquan Zhou, Tingfa Xu +2

Transformers have astounding representational power but typically consume considerable computation which is quadratic with image resolution. The prevailing Swin transformer reduces…

cs.CV2023★ 26 cited

BACTrack: Building Appearance Collection for Aerial Tracking

Xincong Liu, Tingfa Xu, Ying Wang +4

Siamese network-based trackers have shown remarkable success in aerial tracking. Most previous works, however, usually perform template matching only between the initial template a…

cs.CV2023★ 23 cited

Spectrum-driven Mixed-frequency Network for Hyperspectral Salient Object Detection

Peifu Liu, Tingfa Xu, Huan Chen +3

Hyperspectral salient object detection (HSOD) aims to detect spectrally salient objects in hyperspectral images (HSIs). However, existing methods inadequately utilize spectral info…

eess.IV2023★ 40 cited

Spectral-wise Implicit Neural Representation for Hyperspectral Image Reconstruction

Huan Chen, Wangcai Zhao, Tingfa Xu +3

Coded Aperture Snapshot Spectral Imaging (CASSI) reconstruction aims to recover the 3D spatial-spectral signal from 2D measurement. Existing methods for reconstructing Hyperspectra…

cs.CV2023

Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions

Jie Wang, Lihe Ding, Tingfa Xu +4

Robust 3D perception under corruption has become an essential task for the realm of 3D vision. While current data augmentation techniques usually perform random transformations on…

eess.IV2023★ 21 cited

RDFNet: Regional Dynamic FISTA-Net for Spectral Snapshot Compressive Imaging

Shiyun Zhou, Tingfa Xu, Shaocong Dong +1

Deep convolutional neural networks have recently shown promising results in compressive spectral reconstruction. Previous methods, however, usually adopt a single mapping function…