Name: Minchul Craig Shin
Type: User
Company: Meta Reality Labs
Bio: Computer Vision Engineer at Meta Reality Labs (2022-present) | ex-RS at kakaobrain (2021-2022) | ex-SWE at NAVER (2017-2021)
Twitter: CraigStarrAI
Location: Zurich, Switzerland
Minchul Craig Shin's Projects
A resource repository for 3D machine learning
Audio Visual Instance Discrimination with Cross-Modal Agreement
A curated list of awesome iOS ecosystem, including Objective-C and Swift Projects
Torch implementation of BEGAN: Boundary Equilibrium Generative Adversarial Networks
Caffe training template for easy implementation
Chainer implementation of Improving Generative Adversarial Networks with Denoising Feature Matching
A library for benchmarking vulnerability to adversarial examples
Pytorch implementation of training simple classification models
Leetcode solutions for coderxdox.io
Plugin para analise de cohort no kibana
[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
A language-agnostic interface to TensorBoard
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Torch implementation of "End-to-end Learning of Deep Visual Representations for Image Retrieval"
Automatically exported from code.google.com/p/deep-learning-faces
Deep Residual Learning for Image Recognition
People detection and optional tracking with Tensorflow backend.
[ko] 패스트캠퍼스 강의 자료
Author's implementation of 'Unsupervised Visual Representation Learning by Context Prediction'
PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"
Torch7 implementation of Unsupervised object learning from dense equivariant image labelling
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
simple code for face detection and extraction using dlib.
elasticsearch-mapping files
This is very basic code for facial expression recognition using Caffe.
2nd Place Team's Solution for Fashion IQ Challenge 2020