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Hi 👋, I'm Gaurav

A passionate AI developer from India

gaurav14cs17

Connect with me:

gaurav14cs17 gouravkumar717 gou_rav gou_rav

scottaran9 @gou_rav gou_rav gou_rav

Languages and Tools:

c cplusplus docker flask git graphql illustrator kafka linux opencv pandas perl pytorch scikit_learn seaborn tensorflow

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Gaurav's Projects

2stagealign icon 2stagealign

The official codes of our CVPR2022 paper: A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift

aisp icon aisp

AI Image SIgnal Processing - AIM 2022 Reversed ISP Challenge @ ECCV, Model-Based Image Signal Processors via Learnable Dictionaries (AAAI 22)

awesome-model-quantization icon awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

carnd-vehicle-detection icon carnd-vehicle-detection

Detecting vehicles in a video stream is an object detection problem. An object detection problem can be approached as either a classification problem or a regression problem.

cfpnet icon cfpnet

A pytorch-based real-time segmentation model for autonomous driving

content-aware-dynamic-quantization-for-image-super-resolution icon content-aware-dynamic-quantization-for-image-super-resolution

The overview of the proposed quantization framework CADyQ for SR network, which we illustrate with a residual block based backbone. For each given patch and each layer, our CADyQ module introduces a light-weight bit selector that dynamically selects the bit-width and its corresponding quantization function among the candidate quantization functions with distinct bit-widths.

deep-flexisp icon deep-flexisp

This is the official implementation of "Deep-FlexISP: A Three-Stage Framework for Night Photography Rendering"

deepmind-research icon deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

espcn icon espcn

Approaches based on the convolutional neural network like SRCNN, FSRCNN, and VDSR have some drawbacks. Firstly, CNN approaches need to use interpolation methods to upsample the LR image, such as bicubic interpolation. Secondly, it increases the resolution before or at the first layer of the network

hdr-plenoxels icon hdr-plenoxels

[ECCV'22] Official PyTorch Implementation of "HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields"

image-composition-assessment-dataset-cadb icon image-composition-assessment-dataset-cadb

[BMVC2021] The first image composition assessment dataset. Used in the paper "Image Composition Assessment with Saliency-augmented Multi-pattern Pooling". Useful for image composition assessment, image aesthetic assesment, etc.

involution icon involution

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

leetcode icon leetcode

Simple recursive algorithms. Backtracking algorithms. Divide and conquer algorithms. Dynamic programming algorithms. Greedy algorithms. Branch and bound algorithms. Brute force algorithms. Randomized algorithms.

low-level-vision-paper-record icon low-level-vision-paper-record

记录近期的 1) 图像/视频的超分增强等low level vision任务; 2) 图像生成 等任务相关论文, 主要为18年以后的DL based方法.

mahalanobis icon mahalanobis

Image pattern recognition with Mahalanobis & euclidean distance

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