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As enthusiastic AI research student, I enjoy developing code that brings ideas to life, enhancing performance and efficiency.

I specialize in deep learning, with a particular focus on computer vision tasks. Recently, I have developed interests in Gaussian Splatting, 3D generative models, and multi-modal learning.

I am proficient in Python and PyTorch, and have solid understanding of Linux systems, Docker, CUDA, and Triton.

Publications

AI Challenges

I'm enjoying utilizing AI for real-world applications through AI challenges.

I reached total 4th place (highest record) from 77,242 players of DACON (a Korean community similar to Kaggle).

Please refer my homepage for more details.

kitsunetic's Projects

360sd-net icon 360sd-net

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

3dcnn icon 3dcnn

3D convolutional neural network for video classification

3detr icon 3detr

Code & Models for 3DETR - an End-to-end transformer model for 3D object detection

axial-deeplab icon axial-deeplab

This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)

bisenet icon bisenet

Add bisenetv2. My implementation of BiSeNet

car icon car

Content adaptive resampler for image downscaling

coding-test icon coding-test

Archive for coding-test problems and my solutions and some memos

contactgen icon contactgen

ContactGen: Contact-Guided Interactive 3D Human Generation for Partners (AAAI 2024)

cs231a-notes icon cs231a-notes

The course notes for Stanford's CS231A course on computer vision

deep-high-resolution-net.pytorch icon deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deit icon deit

Official DeiT repository

dfusion icon dfusion

A library to make it easy to implement diffusion models

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