aasharma90 Goto Github PK
Name: Aashish Sharma
Type: User
Company: KLASS, Singapore
Location: Singapore
Blog: aasharma90.github.io
Aashish Sharma's Projects
aasharma90.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ccnet
CCNet achieves the state-of-the-art performance on Cityscapes and ADE20K.
dc-shadownet-hard-and-soft-shadow-removal
[ICCV2021]DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network, https://arxiv.org/pdf/2207.10434.pdf
edges_lowsnr
Code for 'Edge Detection in Low SNR conditions - CVPR'16'
flownet
FlowNet code
flownet2-pytorch
flownet2-pytorch (modified slightly, works with python 3.6.3)
lightweight_refinenet
Repository for modified LightWeight-RefineNet (for Semantic Segmentation)
low-light
Low light & Unpair training
meshstereo-linux
MeshStereo code in C++ for Linux platform
night-depthflow_pytorch
Codes for the paper - Depth Estimation in Nighttime using Stereo-Consistent Cyclic Translations, arXiv'19
nighttime_datasets
Repository containing a list of labelled/unlabelled nighttime datasets
opticalflowtoolkit
Python-based optical flow toolkit for existing popular dataset
pwc-net
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
radiometriccalibration
Implementation of the [Lin et al. CVPR'04] paper on radiometric calibration from a single image.
refinenet
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
retinexnet_pytorch
Unofficial PyTorch code for the paper - Deep Retinex Decomposition for Low-Light Enhancement, BMVC'18
some_useful_scripts
Some useful scripts for remote mounting, resource monitoring, etc.
testnlm_fast
Faster version (using mex) of the original NLM denoising code testnlm
unprocessdenoising_pytorch
Unofficial PyTorch code for the paper - Unprocessing Images for Learned Raw Denoising, CVPR'19
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