490 citations · 1.5k across the 56 of their papers we have counts for
8 papers · 1 filter
Deep Learning Methods for Calibrated Photometric Stereo and Beyond
Yakun Ju, Kin-Man Lam, Wuyuan Xie +3
Photometric stereo recovers the surface normals of an object from multiple images with varying shading cues, i.e., modeling the relationship between surface orientation and intensi…
Lightweight Monocular Depth Estimation with an Edge Guided Network
Xingshuai Dong, Matthew A. Garratt, Sreenatha G. Anavatti +2
Monocular depth estimation is an important task that can be applied to many robotic applications. Existing methods focus on improving depth estimation accuracy via training increas…
Synthetic Aperture Radar Image Change Detection via Layer Attention-Based Noise-Tolerant Network
Desen Meng, Feng Gao, Junyu Dong +2
Recently, change detection methods for synthetic aperture radar (SAR) images based on convolutional neural networks (CNN) have gained increasing research attention. However, existi…
Change Detection from Synthetic Aperture Radar Images via Dual Path Denoising Network
Junjie Wang, Feng Gao, Junyu Dong +2
Benefited from the rapid and sustainable development of synthetic aperture radar (SAR) sensors, change detection from SAR images has received increasing attentions over the past fe…
SSCU-Net: Spatial-Spectral Collaborative Unmixing Network for Hyperspectral Images
Lin Qi, Feng Gao, Junyu Dong +2
Linear spectral unmixing is an essential technique in hyperspectral image processing and interpretation. In recent years, deep learning-based approaches have shown great promise in…
Change Detection from Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network
Junjie Wang, Feng Gao, Junyu Dong +2
Synthetic aperture radar (SAR) image change detection is a vital yet challenging task in the field of remote sensing image analysis. Most previous works adopt a self-supervised met…