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Jiangnan University
- Wuxi, Jiangsu, China
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02:23
(UTC +08:00) - https://hli1221.github.io/
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hli1221 / SFPFusion
Forked from draymondbiao/SFPFusionSensors, 2023, SFPFusion: An Improved Vision Transformer Combining Super Feature Attention and Wavelet-Guided Pooling for Infrared and Visible Images Fusion
"DePF: A Novel Fusion Approach based on Decomposition Pooling for Infrared and Visible Images" is accepted by IEEE Transactions on Instrumentation and Measurement (IEEE TIM).
Implementation of “GuideFuse: A novel guided auto-encoder fusion network for infrared and visible images” IEEE TIM 2023
(2025' Information Fusion) This is the offical implementation for the paper titled "TextFusion: Unveiling the Power of Textual Semantics for Controllable Image Fusion".
"SFPFusion: An Improved Vision Transformer Combining Super Feature Attention and Wavelet-Guided Pooling for Infrared and Visible Images Fusion" is accepted by Sensors.
This is an LWIR stereo-hyperspectral database to develop HADAR algorithms for thermal navigation. Based on this database, one can develop algorithms for TeX decomposition to generate TeX vision. On…
[CVPR 2023] Official implementation for "CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion."
[IEEE TCSVT 2023] Official implementation of DATFuse: Infrared and Visible Image Fusion via Dual Attention Transformer
ImageBind One Embedding Space to Bind Them All
Official Pytorch code for "MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style Transfer" (AAAI 2023)
Official implementation of the paper “Inversion-Based Style Transfer with Diffusion Models” (CVPR 2023)
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Official repo for consistency models.
Segment-Anything + 3D. Let's lift anything to 3D.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
CVPR 2022 | Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection.
extension and update of M2DGR: a Multi-modal and Multi-scenario SLAM Dataset for Ground Robots (ICRA2022 & ICRA2024)
Matlab implementation of IEEE TMM 2021 paper "Robust Visual Object Tracking via Adaptive Attribute-Aware Discriminative Correlation Filters"
Dataset for the paper "RGBD1K: A Large-scale Dataset and Benchmark for RGB-D Object Tracking".
(2023' Information Fusion) This is the official implementation for the paper titled "MUFusion: A general unsupervised image fusion network based on memory unit".