Jinwook Lim (jinwooklim)

jinwooklim

Geek Repo

Company:HYUNDAI MOBIS

Location:Seoul, Korea

Home Page:https://jinwooklim.github.io

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Jinwook Lim's repositories

coding-test

Repository for Coding-test

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DCNv2_latest

DCNv2 supports decent pytorch such as torch 1.5+ (now 1.8+)

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DDAD

Dense Depth for Autonomous Driving (DDAD) dataset.

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deep-hough-transform

Code for paper "Deep Hough Transform for Semantic Line Detection" (ECCV 2020, PAMI 2021)

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Detection-of-Traffic-Anomaly

This is the repo for our Detection of Traffic Anomaly (DoTA) dataset.

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DirectVoxGO

Direct voxel grid optimization for fast radiance field reconstruction.

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fcdd

Repository for the Explainable Deep One-Class Classification paper

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grmc

"Learning a Geometric Representation for Depth Estimation via Gradient Field and Contrastive Loss" (ICRA 2021)

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Image-Quality-Assessment-Benchmark

A collection of state-of-the-art image quality assessment algorithms

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machine-learning

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

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minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

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mv-extractor

Extract frames and motion vectors from H.264 and MPEG-4 encoded video.

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occupancy_networks

This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

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Off-Road-Freespace-Detection

Official implementation of our ICRA'22 paper: ORFD: A Dataset and Benchmark for Off-Road Freespace Detection

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onnx2tf

Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.

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sc_depth_pl

Pytorch Lightning Implementation of SC-Depth (V1, V2, and V3) for Unsupervised Monocular Depth Estimation.

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SCI

[CVPR 2022] This is the official code for the paper "Toward Fast, Flexible, and Robust Low-Light Image Enhancement".

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SelfOcc

SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction

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training_extensions

Trainable models and NN optimization tools

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unsupervised-depthnet

Unsupervised Training of DepthNet

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VFDepth

VFDepth Self-supervised surround-view depth estimation with volumetric feature fusion

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vit-explain

Explainability for Vision Transformers

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