233 citations · 693 across the 45 of their papers we have counts for
9 papers · 1 filter
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…
Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions
Jie Wang, Tingfa Xu, Lihe Ding +1
Achieving robust 3D perception in the face of corrupted data presents an challenging hurdle within 3D vision research. Contemporary transformer-based point cloud recognition models…
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…
DMSSN: Distilled Mixed Spectral-Spatial Network for Hyperspectral Salient Object Detection
Haolin Qin, Tingfa Xu, Peifu Liu +2
Hyperspectral salient object detection (HSOD) has exhibited remarkable promise across various applications, particularly in intricate scenarios where conventional RGB-based approac…
Multi-step Temporal Modeling for UAV Tracking
Xiaoying Yuan, Tingfa Xu, Xincong Liu +4
In the realm of unmanned aerial vehicle (UAV) tracking, Siamese-based approaches have gained traction due to their optimal balance between efficiency and precision. However, UAV sc…
MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation
Shenwang Jiang, Jianan Li, Ying Wang +4
Noisy labels, inevitably existing in pseudo segmentation labels generated from weak object-level annotations, severely hampers model optimization for semantic segmentation. Previou…
MsSVT++: Mixed-scale Sparse Voxel Transformer with Center Voting for 3D Object Detection
Jianan Li, Shaocong Dong, Lihe Ding +1
Accurate 3D object detection in large-scale outdoor scenes, characterized by considerable variations in object scales, necessitates features rich in both long-range and fine-graine…
PointGL: A Simple Global-Local Framework for Efficient Point Cloud Analysis
Jianan Li, Jie Wang, Tingfa Xu
Efficient analysis of point clouds holds paramount significance in real-world 3D applications. Currently, prevailing point-based models adhere to the PointNet++ methodology, which…