Taekyung Kim bio photo

Taekyung Kim

PhD student @ Computer Intelligence Lab, KAIST

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My Publications

Top-Tier Conference Publications

  • T. Kim, J. Choi, S. Choi, D. Jung, and C. Kim
    A Few Depth Points are All You Need for Multi-view Stereo: A Novel Semi-supervised Learning Method for Multi-view Stereo
    Accepted to International Conference on Computer Vision (ICCV), 2021

  • S. Choi, T. Kim, M. Jeong, H. Park, and C. Kim
    Meta Batch-Instance Normalization for Generalizable Person Re-Identification
    Conference on Computer Vision and Pattern Recongnition (CVPR), 2021
    [Paper] [Code]

  • T. Kim and C. Kim
    Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation
    European Conference on Computer Vision (ECCV), 2020
    [Paper] [Code]

  • S. Choi, S. Lee, Y. Kim, T. Kim, and C. Kim
    Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification
    Conference on Computer Vision and Pattern Recongnition (CVPR), 2020
    [Paper] [Code]

  • J. Choi, T. Kim, and C. Kim
    Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation
    International Conference on Computer Vision (ICCV), 2019
    [Paper] [Supp]

  • S. Kim, J. Choi, T. Kim, and C. Kim
    Self-Training with Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection
    International Conference on Computer Vision (ICCV), 2019, Oral Presentation
    [Paper] [Supp]

  • T. Kim, M. Jeong, S. Kim, S. Choi, and C. Kim
    Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
    Conference on Computer Vision and Pattern Recongnition (CVPR), 2019
    [Paper] [Supp] [Code]

Other Publications

  • Y. Kim, H. Lee, S. Choi, T. Kim, C. Kim
    RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation
    Winter Conference on Applications of Computer Vision (WACV), 2020

  • J. Choi, M. Jeong, T. Kim, and C. Kim
    Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation
    British Machine Vision Conference (BMVC), 2019

  • Y. Kim*, S. Kim*, T. Kim, and C. Kim
    CNN-Based Semantic Segmentation Using Level Set Loss
    Winter Conference on Applications of Computer Vision (WACV), 2019
    [Paper-IEEE]

  • Y. Kim, T. Kim, S. Kim, and C. Kim
    Weakly Supervised Semantic Segmentation Using Color Adjacency Loss
    Visual Communications and Image Processing (VCIP), 2019

Technical reports

  • Y. Kim, S. Choi, T. Kim, S. Lee, C. Kim
    Learning to Align Multi-Camera Domain for Unsupervised Video Person Re-Identification
    Technical Report, 2019
    [arXiv]