aasharma90

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KLASS, Singapore

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aasharma90.github.io

Aashish Sharma's repositories

RetinexNet_PyTorch

Unofficial PyTorch code for the paper - Deep Retinex Decomposition for Low-Light Enhancement, BMVC'18

Language:Python178 2 8

UnprocessDenoising_PyTorch

Unofficial PyTorch code for the paper - Unprocessing Images for Learned Raw Denoising, CVPR'19

Language:Python170 3 9

NightTime_Datasets

Repository containing a list of labelled/unlabelled nighttime datasets

Night-DepthFlow_PyTorch

Codes for the paper - Depth Estimation in Nighttime using Stereo-Consistent Cyclic Translations, arXiv'19

Language:Python14 4 2

MeshStereo-Linux

MeshStereo code in C++ for Linux platform

Language:C++5 10

Some_Useful_Scripts

Some useful scripts for remote mounting, resource monitoring, etc.

Language:Shell4 10

Edges_LowSNR

Code for 'Edge Detection in Low SNR conditions - CVPR'16'

Language:C++200

LightWeight_RefineNet

Repository for modified LightWeight-RefineNet (for Semantic Segmentation)

Language:PythonNOASSERTION2 1 4

Low-Light

Low light & Unpair training

2 10

CCNet

CCNet achieves the state-of-the-art performance on Cityscapes and ADE20K.

Language:PythonMIT1 10

FlowNet2-PyTorch

flownet2-pytorch (modified slightly, works with python 3.6.3)

Language:PythonNOASSERTION1 10

OpticalFlowToolkit

Python-based optical flow toolkit for existing popular dataset

Language:Python1 10

PWC-Net

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

Language:PythonNOASSERTION1 10

refinenet

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

Language:MATLABNOASSERTION100

aasharma90.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Language:JavaScriptMIT010

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

000

FlowNet

FlowNet code

Language:C++NOASSERTION01 1

radiometricCalibration

Implementation of the [Lin et al. CVPR'04] paper on radiometric calibration from a single image.

Language:MATLABNOASSERTION010

TestNLM_Fast

Faster version (using mex) of the original NLM denoising code testnlm

Language:CBSD-2-Clause010