About Me (邱盟竣)

I am a computer vision researcher with the Device AI team at Amazon. I received my Ph.D. degree from the National University of Singapore in 2022, supervised by Prof. Roger Zimmermann and Prof. Jiashi Feng. My research interest is learning structured representations of visual scenes, where related tasks include visual relationship detection, scene graph generation, action detection in video, etc. I code mostly in Python and PyTorch. I speak Chinese, English and Japanese.

Contact Details

Meng-Jiun Chiou (Applied Scientist)
4F, No.179, Sec. 2, Tiding Blvd.
Neihu Dist., Taipei 11493, Taiwan

mengjiun.chiou [at] u.nus.edu



       Last updated in June 2022

News

Education

National University of Singapore

Ph.D. in Computer Science Aug. 2017 - Jun. 2022

I worked on visual scene understanding and reasoning (especially, scene graph generation) with Prof. Roger Zimmermann at Media Management Research Lab and Prof. Jiashi Feng at Learning and Vision Lab.


National Chiao Tung University

B.Sc. in Electrical and Computer Engineering Sep. 2012 - Jun. 2016

I graduated from the Dep. of Electrical and Computer Engineering, National Chiao Tung University (NCTU) with superb GPA 3.9 with multiple scholarships awarded. Note, NCTU is now National Yang Ming Chiao Tung University.


The University of Tokyo

Exchange Student at Info-Comm Engineering Oct. 2014 - Sep. 2015

I joined Department of Information and Communication Engineering at the University of Tokyo as an one-year-long exchange student. Working closely with Prof. Toshihiko Yamaski, I did research in efficient image classification.

Experience

Computer Vision Applied Scientist

AmazonJul. 2022 - PresentTaipei, Taiwan

I am researching and developing cutting-edge computer vision algorithms for intelligent devices at the Device AI team under Amazon Lab126.


Computer Vision Research Intern

TikTok (ByteDance AI Lab)Oct. 2020 - Jun. 2022Singapore

I worked on computer vision research on unbiased scene graph generation and revealing the biases in single-positive multi-label (SPML) learning methods. I also worked with the Trust & Safety team to improve the violation video detection algorithms.


Computer Vision Research Intern

ASUS Intelligent Cloud ServicesJun. 2020 - Oct. 2020Singapore

I worked on video-based human-object and human-human interaction for the smart retail initiative.


Microsoft Student Partners, Software Eng.

Microsoft Jul. 2013 - Jun. 2014Taipei, Taiwan

I worked as MSPs at the Software Development Group in Microsoft Taiwan. I developed Windows Apps (e.g., NHK Reader with 7,000+ downloads) and spoke publicly to university students to promote the latest techniques.

Papers

  • Meng-Jiun Chiou, “Learning Structured Representations of Visual Scenes”, Ph.D. Thesis, National University of Singapore, 2022.
    [Thesis]

    Meng-Jiun Chiou, Henghui Ding, Hanshu Yan, Changhu Wang, Roger Zimmermann and Jiashi Feng, “Recovering the Unbiased Scene Graphs from the Biased Ones”, in Proceedings of the 29th ACM International Conference on Multimedia (ACMMM'21), 2021.
    [arXiv] [Proceeding] [Slides] [Poster] [Video] [Code]

    Meng-Jiun Chiou, Chun-Yu Liao, Li-Wei Wang, Roger Zimmermann and Jiashi Feng, “ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videos”, in Proceedings of the 2021 International Conference on Multimedia Retrieval (ICMR'21) Workshop on Intelligent Cross-Data Analysis and Retrieval, 2021.
    [Paper] [Slides] [Video] [Code]


    Meng-Jiun Chiou, Roger Zimmermann and Jiashi Feng, “Visual Relationship Detection with Visual-Linguistic Knowledge from Multimodal Representations”, in IEEE Access, vol. 9, pp. 50441-50451, 2021.
    [Paper] [Code]

    Meng-Jiun Chiou, Zhenguang Liu, Yifang Yin, An-An Liu and Roger Zimmermann, “Zero-Shot Multi-View Indoor Localization via Graph Location Networks”, in Proceedings of the 28th ACM International Conference on Multimedia (ACMMM'20), 2020.
    [Paper] [Slides] [Poster] [Video] [Code]

    Yifang Yin, Meng-Jiun Chiou, Zhenguang Liu, Harsh Shrivastava, Rajiv Ratn Shah and Roger Zimmermann, “Multi-Level Fusion based Class-aware Attention Model for Weakly Labeled Audio Tagging”, in Proceedings of the 27th ACM International Conference on Multimedia (ACMMM'19), 2019.
    [Paper]

    Meng-Jiun Chiou, Yamasaki Toshihiko and Aizawa Kiyoharu, “A Fast Table-Based Approach of Bag-of-Features for Large-Scale Image Classification”, in Proveedings of the ITE Annual Convention, The Institute of Image Information and Television Engineers, 2015.
    [Paper]

    Meng-Jiun Chiou, Yamasaki Toshihiko and Aizawa Kiyoharu, “A Fast Method of Visual Words Assignment of Bag-of-Features for Object Recognition”, in The 18th Meeting on Image Recognition and Understanding, 2015.
    [Poster] [Code]

Services

Skills

  • Programming & Deep Learning:

    • Proficient at PyTorch (for deep learning) and Python.
    • Experience at C++, Matlab, Java, HTML, CSS, Javascript and Linux/Unix.
  • Languages: Mandarin Chinese (native), English (business level; TOEIC/TOEFL certified) and Japanese (business level; JLPT N1 certified)

Miscellaneous

Get In Touch.


Please feel free to contact me through mengjiun.chiou [at] u.nus.edu