Publications

You can also find my papers on Google Scholar.

Selected Publications

  • Leveraging Temporal Contextualization for Video Action Recognition
    Minji Kim, Dongyoon Han, Taekyung Kim, Bohyung Han
    ECCV 2024 paper code poster slides TC_CLIP_framework Temporal Contextualization (TC) enhances CLIP’s video understanding capability by infusing temporal information through global interactions within the encoding process.

  • Towards Sequence-Level Training for Visual Tracking
    Minji Kim*, Seungkwan Lee*, Jungseul Ok, Bohyung Han, Minsu Cho (*Equal Contribution)
    ECCV 2022 paper code poster slides SLT_framework
    Sequence-Level Training (SLT) resolves the training-testing inconsistency problem of recent object trackers by directly optimizing a test-time metric under a reinforcement learning framework.

  • Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking
    Ilchae Jung, Minji Kim, Eunhyeok Park, Bohyung Han
    IJCAI 2022 paper hybrid_framework
    A hybrid representation learning from low-bit quantized and channel-pruned networks improves online tracker updates while reducing computational costs.

Earlier Projects (~2021)

Below works were mostly done during my undergraduate research internship and the early years of graduate studies, with a focus on deformable object tracking and tracker model ensemble.

  • Learning Gaussian Models for Orientation-Aware Visual Tracking
    Minji Kim, Bohyung Han
    US Patent (App. 18/370,531) gaussian_framework

  • Top-down Thermal Tracking Based on Rotatable Elliptical Motion Model for Intelligent Livestock Breeding
    Minji Kim, Wonjun Kim
    Multimedia Systems, Springer, 2020

  • Ensemble Modeling with Convolutional Neural Networks for Application in Visual Object Tracking
    Minji Kim, Ilchae Jung, Bohyung Han
    Journal of Korean Institute of Information Scientists and Engineers (KIISE), 2020