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D-Index & Metrics

Computer Science

D-Index
36
Citations
6403
World Ranking
11150
National Ranking
133

Overview

Jaegul Choo is affiliated with the Korea Advanced Institute of Science and Technology in South Korea. Their research primarily focuses on the field of Computer Science with a significant output in subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Graphics and Computer-Aided Design, and Biomedical Engineering.

Their work engages with a variety of topics including Generative Adversarial Networks and Image Synthesis, Advanced Vision and Imaging, Topic Modeling, Natural Language Processing Techniques, Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, and Computer Graphics and Visualization Techniques.

Jaegul Choo's recent publications include the following papers:

  • Automatic detection of tympanic membrane and middle ear infection from oto-endoscopic images via convolutional neural networks, 2020, Neural Networks
  • Prediction of hand-wrist maturation stages based on cervical vertebrae images using artificial intelligence, 2021, Orthodontics and Craniofacial Research
  • Project Recommendation Using Heterogeneous Traits in Crowdfunding, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • BiaSwap: Removing Dataset Bias with Bias-Tailored Swapping Augmentation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Learning Debiased Representation via Disentangled Feature Augmentation, 2021, arXiv (Cornell University)

Frequent co-authors collaborating with Jaegul Choo include Edward Choi, Sunghyun Park, Jooyeol Yun, Jungsoo Lee, and Junha Hyung.

The most common publication venues for their work are:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Visualization and Computer Graphics

Best Publications

  • StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation

    Yunjey Choi;Minje Choi;Munyoung Kim;Jung-Woo Ha

  • A Multi-Organ Nucleus Segmentation Challenge

    Neeraj Kumar;Ruchika Verma;Deepak Anand;Yanning Zhou

  • UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization

    Jaegul Choo;Changhyun Lee;Chandan K. Reddy;Haesun Park

  • RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records

    Bum Chul Kwon;Min-Je Choi;Joanne Taery Kim;Edward Choi

  • Visual Analytics for Explainable Deep Learning

    Jaegul Choo;Shixia Liu

  • iVisClustering: An Interactive Visual Document Clustering via Topic Modeling

    Hanseung Lee;Jaeyeon Kihm;Jaegul Choo;John Stasko

  • RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening

    Sungha Choi;Sanghun Jung;Huiwon Yun;Joanne T. Kim

  • Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations

    Tian Shi;Kyeongpil Kang;Jaegul Choo;Chandan K. Reddy

  • iVisClassifier: An interactive visual analytics system for classification based on supervised dimension reduction

    Jaegul Choo;Hanseung Lee;Jaeyeon Kihm;Haesun Park

  • Nonnegative Matrix Factorization for Interactive Topic Modeling and Document Clustering

    D. da Kuang;Jaegul Choo;Haesun Park

  • Cars Can’t Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks

    Sungha Choi;Joanne T. Kim;Jaegul Choo

  • StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

    Yunjey Choi;Minje Choi;Munyoung Kim;Jung-Woo Ha

  • ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Road Speed

    Cheonbok Park;Chunggi Lee;Hyojin Bahng;Yunwon Tae

  • Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence

    Junsoo Lee;Eungyeup Kim;Yunsung Lee;Dongjun Kim

  • Visualizing for the Non-Visual: Enabling the Visually Impaired to Use Visualization

    Jinho Choi;Sanghun Jung;Deok Gun Park;Jaegul Choo

  • Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks

    Seungjoo Yoo;Hyojin Bahng;Sunghyo Chung;Junsoo Lee

  • Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw

    C. Gorg;Zhicheng Liu;Jaeyeon Kihm;Jaegul Choo

  • Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation

    Wonwoong Cho;Sungha Choi;David Keetae Park;Inkyu Shin

  • VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization

    Seunghwan Choi;Sunghyun Park;Minsoo Lee;Jaegul Choo

  • Learning De-biased Representations with Biased Representations

    Hyojin Bahng;Sanghyuk Chun;Sangdoo Yun;Jaegul Choo

  • InterAxis: Steering Scatterplot Axes via Observation-Level Interaction

    Hannah Kim;Jaegul Choo;Haesun Park;Alex Endert

  • High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions

    Unknown

  • When Bitcoin encounters information in an online forum: Using text mining to analyse user opinions and predict value fluctuation.

    Young Bin Kim;Jurim Lee;Nuri Park;Jaegul Choo

  • Personas in online health communities

    Jina Huh;Bum Chul Kwon;Sung-Hee Kim;Sukwon Lee

  • Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation

    Hyojin Bahng;Seungjoo Yoo;Wonwoong Cho;David Keetae Park;David Keetae Park

  • TopicLens: Efficient Multi-Level Visual Topic Exploration of Large-Scale Document Collections

    Minjeong Kim;Kyeongpil Kang;Deokgun Park;Jaegul Choo

  • ConceptVector: Text Visual Analytics via Interactive Lexicon Building Using Word Embedding

    Deokgun Park;Seungyeon Kim;Jurim Lee;Jaegul Choo

Frequent Co-Authors

Haesun Park
Haesun Park Georgia Institute of Technology
Chandan K. Reddy
Chandan K. Reddy Virginia Tech
John Stasko
John Stasko Georgia Institute of Technology
Sunghun Kim
Sunghun Kim Hong Kong University of Science and Technology
Duen Horng Chau
Duen Horng Chau Georgia Institute of Technology
Hongyuan Zha
Hongyuan Zha Chinese University of Hong Kong, Shenzhen
Alex Endert
Alex Endert Georgia Institute of Technology
Tao Qin
Tao Qin Microsoft (United States)
Niklas Elmqvist
Niklas Elmqvist University of Maryland, College Park
Hyun-Wook Lee
Hyun-Wook Lee Ulsan National Institute of Science and Technology

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