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Hello, I'm Jaemin Lee, deep learning researcher.

Research Interest:

  • Machine learning related to generalization such as Domain Adaptation(DA), Semi-Supervised Learning(SSL), and Active Learning(AL).
  • Low-level computer vision tasks such as Semantic Segmentation, Depth Completion, and Stereo Matching.
  • But not limited to.

Selected Publications (* equal contribution)

Contact with me

If you want to know more about me visit here.

Jaemin's Projects

2dpass icon 2dpass

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) :fire:

boring_ryan icon boring_ryan

맀우 μ‹¬μ‹¬ν•œ 라이언

ccnet icon ccnet

CCNet: Criss-Cross Attention for Semantic Segmentation (ICCV 2019).

conformer icon conformer

Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition

cvpr2021_plop icon cvpr2021_plop

Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

deepcluster icon deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

deeplabv3 icon deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dyspn icon dyspn

Non-official PyTorch implementation of the "Dynamic Spatial Propagation Network for Depth Completion"

flavr icon flavr

Code for FLAVR: A fast and efficient frame interpolation technique.

gcnet icon gcnet

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

htmlparser icon htmlparser

Convert HTML node elements to a horizontal array

image-captioning-dlct icon image-captioning-dlct

Official pytorch implementation of paper "Dual-Level Collaborative Transformer for Image Captioning" (AAAI 2021).

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