40 citations · 86 across the 9 of their papers we have counts for
9 papers
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:…
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…
Hyperspectral Remote Sensing Images Salient Object Detection: The First Benchmark Dataset and Baseline
Peifu Liu, Huiyan Bai, Tingfa Xu +3
The objective of hyperspectral remote sensing image salient object detection (HRSI-SOD) is to identify objects or regions that exhibit distinct spectrum contrasts with the backgrou…
Mixed-granularity Implicit Representation for Continuous Hyperspectral Compressive Reconstruction
Jianan Li, Huan Chen, Wangcai Zhao +2
Hyperspectral Images (HSIs) are crucial across numerous fields but are hindered by the long acquisition times associated with traditional spectrometers. The Coded Aperture Snapshot…
Spectrum-oriented Point-supervised Saliency Detector for Hyperspectral Images
Peifu Liu, Tingfa Xu, Guokai Shi +3
Hyperspectral salient object detection (HSOD) aims to extract targets or regions with significantly different spectra from hyperspectral images. While existing deep learning-based…
Content-driven Magnitude-Derivative Spectrum Complementary Learning for Hyperspectral Image Classification
Huiyan Bai, Tingfa Xu, Huan Chen +2
Extracting discriminative information from complex spectral details in hyperspectral image (HSI) for HSI classification is pivotal. While current prevailing methods rely on spectra…
Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken
Peifu Liu, Tingfa Xu, Jie Wang +3
Hyperspectral image classification, a task that assigns pre-defined classes to each pixel in a hyperspectral image of remote sensing scenes, often faces challenges due to the negle…
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…
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…