World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
9225
World Ranking
9573
National Ranking
100

Overview

Nojun Kwak is affiliated with Seoul National University in South Korea and has extensively contributed to the field of computer science, particularly in computer vision and artificial intelligence. Their research output demonstrates a focus on advanced neural network applications, domain adaptation, and multimodal machine learning applications.

The scientist's work covers multiple subfields including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering
  • Computational Mechanics
  • Human-Computer Interaction

Main topics addressed in their research include:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Advanced Vision and Imaging
  • Human Pose and Action Recognition
  • Advanced Image Processing Techniques

Nojun Kwak has published in various reputable venues. Frequent publication venues are:

  • arXiv (Cornell University)
  • IEEE Access
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Sensors

Notable recent papers include:

  • "Deep Learning Model for Real-Time Prediction of Intradialytic Hypotension" (2021), Clinical Journal of the American Society of Nephrology
  • "Feature-map-level Online Adversarial Knowledge Distillation" (2020), arXiv (Cornell University)
  • "MatteFormer: Transformer-Based Image Matting via Prior-Tokens" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Part-Aware Data Augmentation for 3D Object Detection in Point Cloud" (2021), 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • "Radar-Spectrogram-Based UAV Classification Using Convolutional Neural Networks" (2020), Sensors

Frequent co-authors who have collaborated on multiple projects with Nojun Kwak include:

  • KiYoon Yoo
  • Chaerin Kong
  • Inseop Chung
  • Jayeon Yoo
  • Seonguk Park

Best Publications

  • Input feature selection for classification problems

    N. Kwak;Chong-Ho Choi

  • Principal Component Analysis Based on L1-Norm Maximization

    N. Kwak

  • Input feature selection by mutual information based on Parzen window

    N. Kwak;Chong-Ho Choi

  • A Comprehensive Overhaul of Feature Distillation

    Byeongho Heo;Jeesoo Kim;Sangdoo Yun;Hyojin Park

  • Enhancement of SSD by concatenating feature maps for object detection

    Jisoo Jeong;Hyojin Park;Nojun Kwak

  • Paraphrasing Complex Network: Network Compression via Factor Transfer

    Jangho Kim;Seonguk Park;Nojun Kwak

  • Consistency-based Semi-supervised Learning for Object detection

    Jisoo Jeong;Seungeui Lee;Jeesoo Kim;Nojun Kwak

  • Feature extraction for classification problems and its application to face recognition

    Nojun Kwak

  • Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information

    Seonhoon Kim;Inho Kang;Nojun Kwak

  • LSQ+: Improving low-bit quantization through learnable offsets and better initialization

    Yash Bhalgat;Jinwon Lee;Markus Nagel;Tijmen Blankevoort

  • Analysis on the Dropout Effect in Convolutional Neural Networks

    Sungheon Park;Nojun Kwak

  • 3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information

    Sungheon Park;Jihye Hwang;Nojun Kwak

  • Motion Feature Network: Fixed Motion Filter for Action Recognition

    Myunggi Lee;Seungeui Lee;Sung Joon Son;Gyutae Park

  • Method and apparatus for discontinuous reception of connected terminal in a mobile communication system

    Soeng-Hun Kim;No-Jun Kwak;Gert Jan Van Lieshout;Himke Van Der Velde

  • Principal Component Analysis by $L_{p}$ -Norm Maximization

    Nojun Kwak

  • Verfahren und Vorrichtung zum Melden einer Inter-Frequenzmessung unter Verwendung einer RACH-Nachricht in einem Kommunikationssystem

    Kyeong-In Jeong;No-Jun Kwak;Himke Van Dervelde;Gert Jan Van Lieshout

  • MatteFormer: Transformer-Based Image Matting via Prior-Tokens

    Unknown

  • Method of efficiently transmitting control information for multimedia broadcast/multicast service

    No-jun Kwak;Kook-Heui Lee;Sung-Ho Choi;Eun-Jung Kim

  • Feature Fusion for Online Mutual Knowledge Distillation

    Jangho Kim;Minsung Hyun;Inseop Chung;Nojun Kwak

  • Handover method and apparatus between different systems

    No-Jun Kwak;Sung-Ho Hwanggolmaeul danji Apt. Choi;Soeng-Hun Cheongmyeongm. danji Kim;Kyeong-In Daewoo Puregio Apt. Jeong

  • Method and apparatus for supporting communication service of idle user terminal located in common routing area in a mobile communication system

    Eun-Hui Bae;Sung-Ho Choi;O-Sok Song;No-jun Kwak

  • Paraphrasing Complex Network: Network Compression via Factor Transfer

    Jangho Kim;SeoungUK Park;Nojun Kwak

  • Ultrasound image analysis using deep learning algorithm for the diagnosis of thyroid nodules.

    Junho Song;Young Jun Chai;Hiroo Masuoka;Sun Won Park

  • Deep learning model for real-time prediction of intradialytic hypotension

    Hojun Lee;Donghwan Yun;Jayeon Yoo;Kiyoon Yoo

  • Generalization of linear discriminant analysis using Lp-norm

    Jae Hyun Oh;Nojun Kwak

  • Feature-map-level Online Adversarial Knowledge Distillation.

    Inseop Chung;SeongUk Park;Jangho Kim;Nojun Kwak

Frequent Co-Authors

Kook-Heui Lee
Kook-Heui Lee Samsung (South Korea)
Gert Jan Van Lieshout
Gert Jan Van Lieshout Samsung (South Korea)
Heung Nam Han
Heung Nam Han Seoul National University
Osok Song
Osok Song Qualcomm (United States)
Chong-Ho Choi
Chong-Ho Choi Seoul National University
Kyeong-In Jeong
Kyeong-In Jeong Samsung (South Korea)
sungho choi
sungho choi Samsung (South Korea)
Yong-Jun Kwak
Yong-Jun Kwak Intel (United States)
Soeng-Hun Kim
Soeng-Hun Kim Samsung (South Korea)
Juho Kannala
Juho Kannala Aalto University

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