[CVPR 2022] Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model

This paper is accepted by ICCV 2021.

This is the source code of PMHLD-Patch-Map-Based-Hybrid-Learning-DehazeNet-for-Single-Image-Haze-Removal which has been accepted by IEEE Transaction on Image Processing 2020.

This is the project page of our paper which has been published in ECCV 2020.

This is the source code of PMS-Net: Robust Haze Removal Based on Patch Map for Single Images which has been published in CVPR 2019 Long Beach

Code release for "Online Rain/Snow Removal from Surveillance Videos (TIP2021)"

[ROS melodic] ROS package to filter point clouds with the goal of removing snow in Lidar data.

This paper is accepted by IEEE TCSVT

Use of graph theory to optimize snow removal routes in Montreal and finding an optimal drone flight path to cover all streets in a city. Process of making a graph Eulerian and the use of Edmond-Karp and Bellman-Ford algorithms.