Doanh C. Bui

QuIIL, School of Electrical and Engineering, Korea University. Seoul, Republic of Korea.

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Seoul, Republic of Korea

I am Doanh C. Bui, a Bachelor of Computer Science graduate from the University of Information Technology (UIT), VNU-HCM. I completed my degree in September 2022. For a brief period, from November 2022 to February 2023, I served as a teaching assistant at the Faculty of Software Engineering, UIT. Currently, I am pursuing a master’s degree in the School of Electrical Engineering at Korea University, where I am in my third semester, under the supervision of Prof. Jin Tae Kwak.

Throughout my academic journey, I have focused on various aspects of Computer Vision, specifically in areas such as Object Detection, Document Image Understanding, Image Captioning, and Human-Object Interaction. Presently, my research revolves around leveraging image processing techniques for histopathology images.

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selected publications

  1. DAX-Net: A dual-branch dual-task adaptive cross-weight feature fusion network for robust multi-class cancer classification in pathology images
    Doanh C. Bui, Boram Song, Kyungeun Kim, and 1 more author
    Computer Methods and Programs in Biomedicine, 2024
  2. Transformer-based Spatio-Temporal Unsupervised Traffic Anomaly Detection in Aerial Videos
    Tung Minh Tran, Doanh C. Bui, Tam V. Nguyen, and 1 more author
    IEEE Transactions on Circuits and Systems for Video Technology, 2024
  3. C2T-Net: Channel-Aware Cross-Fused Transformer-Style Networks for Pedestrian Attribute Recognition
    Doanh C. Bui, Thinh V. Le, and Ba Hung Ngo
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, Jan 2024
  4. Improving human–object interaction with auxiliary semantic information and enhanced instance representation
    Khang Nguyen, Thinh V Le, Huyen Ngoc N Van, and 1 more author
    Pattern Recognition Letters, Jan 2023