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Aashish Sharma (aasharma90)

aasharma90

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Company:KLASS, Singapore

Location:Singapore

Home Page:aasharma90.github.io

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Aashish Sharma's repositories

RetinexNet_PyTorch

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

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UnprocessDenoising_PyTorch

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

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NightTime_Datasets

Repository containing a list of labelled/unlabelled nighttime datasets

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Night-DepthFlow_PyTorch

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

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MeshStereo-Linux

MeshStereo code in C++ for Linux platform

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Some_Useful_Scripts

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

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Edges_LowSNR

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

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LightWeight_RefineNet

Repository for modified LightWeight-RefineNet (for Semantic Segmentation)

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Low-Light

Low light & Unpair training

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CCNet

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

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FlowNet2-PyTorch

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

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OpticalFlowToolkit

Python-based optical flow toolkit for existing popular dataset

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PWC-Net

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

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refinenet

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

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aasharma90.github.io

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

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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

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FlowNet

FlowNet code

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radiometricCalibration

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

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TestNLM_Fast

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

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