Hi there 👋 My name is Binh, I obtained a PhD degree at Sungkyunkwan University, South Korea under supervisor Professor Joon-Sung Yang.
Visual Correspondence and its applications. e.g., Semantic Correspondence, Representation Learning, etc. Specifically, I am interested in effective model architecture for computer vision tasks or designing efficient methods for correspondence.
Effective Learning where I focus on various methods to effectively train Deep Neural Networks such as Dropout, Semi-supervised Learning, Un-normalized Neural Networks, etc.
Also, I'm always trying to study various fields not stated above for interdisciplinary research.
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Sungkyunkwan University, Seoul, Korea
- M.S./Ph.D. Integrated Student in Electrical and Computer Engineering
- Mar. 2019 - Aug. 2023
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Ho Chi Minh University of Technology, Ho Chi Minh, Vietnam
- B.S. in Computer Science
- Aug. 2014 - Nov. 2018
- Researcher (Yonsei University DATES Lab, Seoul, Korea)
- Mar. 2019 - Present
- Advisor: Prof. Joon-Sung Yang
EUNNet: Efficient UN-normalized Convolution layer for stable training of Deep Residual Networks without Batch Normalization layer
Nguyen, Khanh-Binh and Choi, Jaehyuk and Yang, Joon-Sung
IEEE Access 2023
[Code] [Link]
Checkerboard Dropout: A Structured Dropout With Checkerboard Pattern for Convolutional Neural Networks
Nguyen, Khanh-Binh and Choi, Jaehyuk and Yang, Joon-Sung
IEEE Access 2022
[Code] [Link]
Boosting Semi-Supervised Learning by bridging high and low-confidence predictions
Nguyen, Khanh-Binh, and Joon-Sung Yang
Workshop on representation learning with very limited images: the potential of self-, synthetic- and formula-supervision (ICCVW), 2023.
[Code] [Link]
VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads
Jang, Youngkyoon, Jiali Zheng, Jifei Song, Helisa Dhamo, Eduardo Pérez-Pellitero, Thomas Tanay, Matteo Maggioni, Nguyen, Khanh-Binh et al.
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
[Link]
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector
Nguyen, Khanh-Binh
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
[Code] [Link]
(Oral, top 3%) SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learning
Nguyen, Khanh-Binh
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
[Code] [Link]