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Dongjun Hwang
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Dongjun is a researcher passionate about analyzing experiment results and finding advanced ideas. He can handle various fields of code rapidly and refactor them to build several projects.

Most interested in: weakly labeled data-driven learning for computer vision tasks, deep learning.
Contact: [email protected].

  • M.S. student in Department of Artificial Intelligence at Sogang Univ.
  • Bachelor in Department of Computer Science and Engineering at Sogang Univ.
  • (Smilegate) DHE scholarship student.

Dongjun Hwang's Projects

bridging-gap-wsol icon bridging-gap-wsol

Official code for "Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization (CVPR 2022)"

cs231 icon cs231

My solutions to Stanford's CS231n: Convolutional Neural Networks for Visual Recognition

espnet icon espnet

End-to-End Speech Processing Toolkit

i2c icon i2c

(ECCV2020) Inter-Image Communication for Weakly Supervised Localization

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

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