Xiaowei Hu

Reading-List. Reading list on deep learning

Mask-ShadowGAN. Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data | ICCV 2019

DSC. Direction-Aware Spatial Context Features for Shadow Detection and Removal | CVPR 2018 (Oral) & TPAMI 2019

Unveiling-Deep-Shadows. A Survey and Benchmark on Image and Video Shadow Detection, Removal, and Generation in the Era of Deep Learning (Awesome & Benchmark)

SINet. IEEE Transactions on Intelligent Transportation Systems (TITS), 2019

DAF-Net. Depth-Attentional Features for Single-Image Rain Removal and RainCityscapes Dataset | CVPR 2019

CF-Caffe. Caffe designed for Deep Context Features

DGNL-Net. DGNL-Net and RainCityscapes

FSDNet. Fast Shadow Detection Network

RADF. AAAI 2018 (Spotlight)

CUHK-Shadow. CUHK-Shadow Dateset

SAC-Net. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020.

GNLB. IEEE Transactions on Visualization and Computer Graphics (TVCG)

AGNet. C++

InstanceShadowDetection. Instance Shadow Detection (CVPR 2020)

old.xw-hu.github.io. HTML

DSC-PyTorch. A PyTorch implementation of "Direction-Aware Spatial Context Features for Shadow Detection and Removal" CVPR'18 | T-PAMI'19

ai-for-grant-writing. A curated list of resources for using LLMs to develop more competitive grant applications.

WGWS-Net. Python

MAP-Net. [CVPR'23] Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior

SSIS. Instance Shadow Detection with A Single-Stage Detector [SSIS & SSISv2] (CVPR 2021 Oral & TPAMI 2022)

STM-Evaluation. Python

psi-net. [TMI'20] Code for "Ψ-Net: Stacking Densely Convolutional LSTMs for Sub-Cortical Brain Structure Segmentation".