World's Best Scientists 2026 revealed!
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Computer Science
Korea
2026

D-Index & Metrics

Computer Science

D-Index
83
Citations
47417
World Ranking
881
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Computer Science in Korea Leader Award
  • 2025 - Research.com Computer Science in Korea Leader Award
  • 2023 - Research.com Computer Science in Korea Leader Award
  • 2022 - Research.com Computer Science in Korea Leader Award

Overview

In So Kweon is affiliated with the Korea Advanced Institute of Science and Technology in South Korea. Their research primarily spans the field of Computer Science, with a focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Signal Processing, and Radiology, Nuclear Medicine and Imaging.

The scientist's contributions to the academic community include numerous publications in notable venues. Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

In So Kweon's research topics cover a variety of advanced areas, including:

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

Examples of recent papers include:

  • A Simple and Light-Weight Attention Module for Convolutional Neural Networks, 2020, International Journal of Computer Vision
  • Learning Open-World Object Proposals Without Learning to Classify, 2022, IEEE Robotics and Automation Letters
  • A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?, 2023, arXiv (Cornell University)
  • One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era, 2023, arXiv (Cornell University)
  • Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

The scientist has collaborated frequently with several co-authors, including:

  • Chaoning Zhang
  • Sanghyun Woo
  • Dong-Jin Kim
  • François Rameau
  • Inkyu Shin

Best Publications

  • CBAM: Convolutional Block Attention Module

    Sanghyun Woo;Jongchan Park;Joon-Young Lee;In So Kweon

  • Adaptive support-weight approach for correspondence search

    Kuk-Jin Yoon;In So Kweon

  • Multispectral pedestrian detection: Benchmark dataset and baseline

    Soonmin Hwang;Jaesik Park;Namil Kim;Yukyung Choi

  • A Tensor-Based Algorithm for High-Order Graph Matching

    O. Duchenne;F. Bach;In-So Kweon;Jean Ponce

  • High quality depth map upsampling for 3D-TOF cameras

    Jaesik Park;Hyeongwoo Kim;Yu-Wing Tai;Michael S. Brown

  • Learning Loss for Active Learning

    Donggeun Yoo;In So Kweon

  • Accurate depth map estimation from a lenslet light field camera

    Hae-Gon Jeon;Jaesik Park;Gyeongmin Choe;Jinsun Park

  • High-resolution terrain map from multiple sensor data

    I.S. Kweon;T. Kanade

  • VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition

    Seokju Lee;Junsik Kim;Jae Shin Yoon;Seunghak Shin

  • Locally adaptive support-weight approach for visual correspondence search

    Kuk-Jin Yoon;In-So Kweon

  • Learning a Deep Convolutional Network for Light-Field Image Super-Resolution

    Youngjin Yoon;Hae-Gon Jeon;Donggeun Yoo;Joon-Young Lee

  • Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision

    Fei Pan;Inkyu Shin;Francois Rameau;Seokju Lee

  • Pixel-Level Domain Transfer

    Donggeun Yoo;Namil Kim;Sunggyun Park;Anthony S. Paek

  • Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles

    Dahun Kim;Donghyeon Cho;In So Kweon

  • KAIST Multi-Spectral Day/Night Data Set for Autonomous and Assisted Driving

    Yukyung Choi;Namil Kim;Soonmin Hwang;Kibaek Park

  • Learning to Localize Sound Source in Visual Scenes

    Arda Senocak;Tae-Hyun Oh;Junsik Kim;Ming-Hsuan Yang

  • EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images

    Changha Shin;Hae-Gon Jeon;Youngjin Yoon;In So Kweon

  • BAM: Bottleneck Attention Module

    Jongchan Park;Sanghyun Woo;Joon-Young Lee;In So Kweon

  • Geometric Calibration of Micro-Lens-Based Light Field Cameras Using Line Features

    Yunsu Bok;Hae-Gon Jeon;In So Kweon

  • Terrain mapping for a roving planetary explorer

    M. Herbert;C. Caillas;E. Krotkov;I.S. Kweon

Frequent Co-Authors

Joon-Young Lee
Joon-Young Lee Adobe Systems (United States)
Yu-Wing Tai
Yu-Wing Tai Hong Kong University of Science and Technology
Yasuyuki Matsushita
Yasuyuki Matsushita Microsoft Research Asia Tokyo
Takeo Kanade
Takeo Kanade Carnegie Mellon University
Stephen Lin
Stephen Lin Microsoft Research Asia (China)
Zhe Lin
Zhe Lin Adobe Systems (United States)
Yoshinori Kuno
Yoshinori Kuno Saitama University
Tao Mei
Tao Mei Jingdong (China)
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Martial Hebert
Martial Hebert Carnegie Mellon University

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