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Short bio

My name is Ardian Umam (禹安銳). You can call me Ardian, or 安銳 (An-Rui) in Chinese. I am currently pursuing my Ph.D. in the Department of Electrical Engineering and Computer Science at National Yang Ming Chiao Tung University, Taiwan, working with Prof. Yen-Yu Lin from VLLab and Prof. Jen-Hui Chuang from Islab.

My reseach interest areas are (but not limited to) deep learning and computer vision. In recent years, I have been working in various topics, including 3D point cloud augmentation, 3D part segmentation, unsupervised/weakly supervised segmentation, multi-modal (vision-language) recognition, optical character recognition, camera callibration and audio quality estimation. I was an intern in Google under ChromeOS Audio Team and in ITRI working on model compression.

Selected publications

  1. PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation
    In IEEE/CVF International Conference on Computer Vision (CVPR) , 2024
  2. Unsupervised Point Cloud Co-part Segmentation via Co-attended Superpoint Generation and Aggregation
    Ardian UmamCheng-Kun YangJen-Hui Chuang, and Yen-Yu Lin
    IEEE Transactions on Multimedia (TMM), 2024
  3. Point MixSwap: Attentional Point Cloud Mixing via Swapping Matched Structural Divisions
    In European Conference on Computer Vision (ECCV) , 2022
  4. tip_2021.png
    Geometry-based Camera Calibration Using Closed-form Solution of Principal Line
    Jen-Hui ChuangChih-Hui HoArdian Umam, Hsin-Yi Chen, Jenq-Neng Hwang, and Tai-An Chen
    IEEE Transactions on Image Processing (TIP), 2021

Education

  1. National Yang Ming Chiao Tung University
    PhD in Computer Science, 2020 - Now
  2. National Chiao Tung University
    MSc in Computer Science
  3. Gadjah Mada University
    BSc in Electrical Engineering
    With specialization in control and system engineering

Work experience

  1. Lecturer
    Institut Teknologi Bandung, 2019 - Now
    Faculty member in School of Electrical Engineering and Informatics
  2. Graduate Intern
    Google, Apr - Dec 2022
    Working on non-reference audio quality estimation which exploits both labeled data and unlabelled data via self-supervised approach
  3. Graduate Research Assistant
    Computer Vision Research Center - NCTU, 2018 - 2019
    Working on AI Smart Drone project, specifically in charge of optimizing depth map and detector models deployed in Jetson TX2
  4. Summer Intern
    ITRI (Industrial Technology Research Institute), Jul - Aug 2018
    Working on deep learning model compression, such as sparse regularization and pruning
  5. Avionic Engineer
    LAPAN (National Institute of Aeronautics and Space), 2015 - 2016
    Working on Maritime Surveillance System using UAV (Unmanned Aerial Vehicle)

Award

  • Doctoral Scholarship Award
  • Awarded a doctoral (full) scholarship by the Ministry of Education - Taiwan
  • Best M.S. Student Award
  • Awarded as the best master student of the Electrical Engineering and Computer Science Department in the commencement day of NCTU, 2018
  • TOP1 Final Project Competition
  • Line Following Robot competition, by "Deep Learning Course (ECM9042)", NCTU Fall Semester, 2020
  • TOP1 in-class Kaggle Competition
  • Best entry in the leader board of in-class kaggle competition about movie recommendation system held by “Cloud Computing and Big Data Analytics Class” – NCTU, Spring 2017
  • Siswa Teladan Putra 1 - Klaten
  • Annual event held by Dinas Pendidikan Klaten to select student representing Siswa Teladan in province level, Central Java

Community service

  • Conference reviewer
  • CVPR, ICCV, ECCV, AAAI, IJCAI
  • Journal reviewer
  • CVIU, ACM CSUR