wdhudiekou

Awesome-RGBT-Fusion

A collection of deep learning based RGB-T-Fusion methods, codes, and datasets. The main directions involved are Multispectral Pedestrian, RGB-T Vehicle Detection, RGB-T Semantic Segmentation, RGB-T Crowd Counting, RGB-T Fusion Tracking.

CVPR2023-Papers-with-Code

CVPR 2023 论文和开源项目合集

DecompositionForFusion

Code for "Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion"(ECCV2022)

DGNet

Deep Gradient Network for Camouflaged Object Detection (MIR 2023). Code is implemented by PyTorch & Jittor & Huawei-Ascend frameworks.

IMF

[IEEE TCSVT2024] Improving Misaligned Multi-modality Image Fusion with One-stage Progressive Dense Registration

IRFS

[Information Fusion 2023] An Interactively Reinforced Paradigm for Joint Infrared-Visible Image Fusion and Saliency Object Detection

Paper_list

STSC

[ICRA 2022] Semantic-aware Texture-Structure Feature Collaboration for Underwater Image Enhancement

Summary-of-RGB-T-Salient-Object-Detection-and-Semantic-segmentation

Summary of RGB-T Salient Object Detection, Semantic segmentation and Crowd Counting.

UMF-CMGR

[IJCAI2022 Oral] Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration

wdhudiekou/UMF-CMGR

[IJCAI2022 Oral] Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration

wdhudiekou/IMF

[IEEE TCSVT2024] Improving Misaligned Multi-modality Image Fusion with One-stage Progressive Dense Registration

wdhudiekou/IRFS

[Information Fusion 2023] An Interactively Reinforced Paradigm for Joint Infrared-Visible Image Fusion and Saliency Object Detection

wdhudiekou/STSC

[ICRA 2022] Semantic-aware Texture-Structure Feature Collaboration for Underwater Image Enhancement

wdhudiekou/CVPR2023-Papers-with-Code

CVPR 2023 论文和开源项目合集

wdhudiekou/DecompositionForFusion

Code for "Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion"(ECCV2022)

wdhudiekou/Paper_list

wdhudiekou/Summary-of-RGB-T-Salient-Object-Detection-and-Semantic-segmentation

Summary of RGB-T Salient Object Detection, Semantic segmentation and Crowd Counting.

wdhudiekou/Awesome-RGBT-Fusion

A collection of deep learning based RGB-T-Fusion methods, codes, and datasets. The main directions involved are Multispectral Pedestrian, RGB-T Vehicle Detection, RGB-T Semantic Segmentation, RGB-T Crowd Counting, RGB-T Fusion Tracking.

wdhudiekou/DGNet

Deep Gradient Network for Camouflaged Object Detection (MIR 2023). Code is implemented by PyTorch & Jittor & Huawei-Ascend frameworks.

wdhudiekou/wdhudiekou.github.io

HomePage