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Computer Science

D-Index
34
Citations
5964
World Ranking
12058
National Ranking
154

Overview

Chang D. Yoo is affiliated with the Korea Advanced Institute of Science and Technology in South Korea and has contributed extensively to the field of computer science. Their research spans several specialized subfields, including computer vision and pattern recognition, artificial intelligence, signal processing, biomedical engineering, and aerospace engineering.

The scientist's work focuses on a range of topics within these domains. Notable areas of study include:

  • Multimodal machine learning applications
  • Domain adaptation and few-shot learning
  • Human pose and action recognition
  • Topic modeling
  • Speech recognition and synthesis
  • Video analysis and summarization
  • Adversarial robustness in machine learning

Their publication record features a significant number of articles in prominent venues. Frequent publication outlets include:

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

Chang D. Yoo has collaborated regularly with several coauthors, including:

  • Sunjae Yoon
  • Tung M. Luu
  • Trung X. Pham
  • Mark Hasegawa-Johnson
  • Ji Woo Hong

Selected recent papers highlight the range and impact of their research:

  • "SoftGroup for 3D Instance Segmentation on Point Clouds," 2022, published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Biomimetic and flexible piezoelectric mobile acoustic sensors with multiresonant ultrathin structures for machine learning biometrics," 2021, Science Advances
  • "Clinical Validation of a Wearable Piezoelectric Blood-Pressure Sensor for Continuous Health Monitoring," 2023, Advanced Materials
  • "Semantic Grouping Network for Video Captioning," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "SCNet: Training Inference Sample Consistency for Instance Segmentation," 2021, Proceedings of the AAAI Conference on Artificial Intelligence

Best Publications

  • Edge-Labeling Graph Neural Network for Few-Shot Learning

    Jongmin Kim;Taesup Kim;Sungwoong Kim;Chang D. Yoo

  • Reversible Image Watermarking Based on Integer-to-Integer Wavelet Transform

    Sunil Lee;C.D. Yoo;T. Kalker

  • Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing.

    Young Hoon Jung;Seong Kwang Hong;Hee Seung Wang;Jae Hyun Han

  • Robust Video Fingerprinting for Content-Based Video Identification

    Sunil Lee;C.D. Yoo

  • A robust image fingerprinting system using the Radon transform

    Jin S. Seo;Jaap Haitsma;Ton Kalker;Chang Dong Yoo

  • Image watermarking based on invariant regions of scale-space representation

    J.S. Seo;C.D. Yoo

  • Biomimetic and flexible piezoelectric mobile acoustic sensors with multiresonant ultrathin structures for machine learning biometrics.

    Hee Seung Wang;Seong Kwang Hong;Jae Hyun Han;Young Hoon Jung

  • Machine learning-based self-powered acoustic sensor for speaker recognition

    Jae Hyun Han;Kang Min Bae;Seong Kwang Hong;Hyunsin Park

  • Higher-Order Correlation Clustering for Image Segmentation

    Sungwoong Kim;Sebastian Nowozin;Pushmeet Kohli;Chang D. Yoo

  • Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks

    Sanghyuk Park;Fei Pan;Sunghun Kang;Chang Dong Yoo

  • Underdetermined Blind Source Separation Based on Subspace Representation

    SangGyun Kim;C.D. Yoo

  • Face alignment using cascade Gaussian process regression trees

    Donghoon Lee;Hyunsin Park;Chang D. Yoo

  • Semantic Grouping Network for Video Captioning.

    Hobin Ryu;Sunghun Kang;Haeyong Kang;Chang D. Yoo

  • Image Segmentation Using Higher-Order Correlation Clustering.

    Sungwoong Kim;Chang Dong Yoo;Sebastian Nowozin;Pushmeet Kohli

  • Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution

    Thang Vu;Hyunjun Jang;Trung X. Pham;Chang Dong Yoo

  • Audio fingerprinting based on normalized spectral subband moments

    J.S. Seo;Minho Jin;Sunil Lee;Dalwon Jang

  • Audio fingerprinting based on normalized spectral subband centroids

    J.S. Seo;Minho Jin;Sunil Lee;Dalwon Jang

  • Localized image watermarking based on feature points of scale-space representation

    Jin S. Seo;Chang Dong Yoo

  • SCNet: Training Inference Sample Consistency for Instance Segmentation

    Thang Vu;Haeyong Kang;Chang D. Yoo

  • Progressive Attention Memory Network for Movie Story Question Answering

    Junyeong Kim;Minuk Ma;Kyungsu Kim;Sungjin Kim

  • Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks.

    Thang Vu;Cao Van Nguyen;Trung X. Pham;Tung Minh Luu

  • Underdetermined Blind Source Separation Based on

    SangGyun Kim;Chang D. Yoo

Frequent Co-Authors

Keon Jae Lee
Keon Jae Lee Korea Advanced Institute of Science and Technology
Ton Kalker
Ton Kalker Hewlett-Packard (United States)
Jinho Choi
Jinho Choi University of Adelaide
Sebastian Nowozin
Sebastian Nowozin Microsoft (United States)
Pushmeet Kohli
Pushmeet Kohli DeepMind (United Kingdom)
Mark Hasegawa-Johnson
Mark Hasegawa-Johnson University of Illinois at Urbana-Champaign
Pascal Fua
Pascal Fua École Polytechnique Fédérale de Lausanne
Arnaud Doucet
Arnaud Doucet University of Oxford
Chang Kyu Jeong
Chang Kyu Jeong Jeonbuk National University

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