Ardian Umam

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 the Department of Electrical Engineering and Computer Science at National Yang Ming Chiao Tung University, Taiwan, advised by 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 ITRI working on model compression.

Latest posts

Sep 20, 2017	Linear Regression Using Least Square Estimation

Selected publications

Geometry-based Camera Calibration Using Closed-form Solution of Principal Line

Jen-Hui Chuang, Chih-Hui Ho, Ardian Umam, Hsin-Yi Chen, Jenq-Neng Hwang, and Tai-An Chen

IEEE Transactions on Image Processing (TIP), 2021

arXiv Bib HTML

@article{chuang2021geometry,
  title = {Geometry-based Camera Calibration Using Closed-form Solution of Principal Line},
  author = {Chuang, Jen-Hui and Ho, Chih-Hui and Umam, Ardian and Chen, Hsin-Yi and Hwang, Jenq-Neng and Chen, Tai-An},
  journal = {IEEE Transactions on Image Processing (TIP)},
  volume = {30},
  pages = {2599--2610},
  year = {2021},
  publisher = {IEEE},
}

Point MixSwap: Attentional Point Cloud Mixing via Swapping Matched Structural Divisions

Ardian Umam, Cheng-Kun Yang, Yung-Yu Chuang, Jen-Hui Chuang, and Yen-Yu Lin

In European Conference on Computer Vision (ECCV) , 2022

Bib HTML Code

@inproceedings{umam2022point,
  title = {Point MixSwap: Attentional Point Cloud Mixing via Swapping Matched Structural Divisions},
  author = {Umam, Ardian and Yang, Cheng-Kun and Chuang, Yung-Yu and Chuang, Jen-Hui and Lin, Yen-Yu},
  booktitle = {European Conference on Computer Vision (ECCV)},
  pages = {596--611},
  year = {2022},
  organization = {Springer},
}

PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation

Ardian Umam, Cheng-Kun Yang, Min-Hung Chen, Jen-Hui Chuang, and Yen-Yu Lin

In IEEE/CVF International Conference on Computer Vision (CVPR) , 2024

arXiv Bib HTML Code

@inproceedings{umam2023partdistill,
  title = {PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation},
  author = {Umam, Ardian and Yang, Cheng-Kun and Chen, Min-Hung and Chuang, Jen-Hui and Lin, Yen-Yu},
  booktitle = {IEEE/CVF International Conference on Computer Vision (CVPR)},
  year = {2024},
}

Unsupervised Point Cloud Co-part Segmentation via Co-attended Superpoint Generation and Aggregation

Ardian Umam, Cheng-Kun Yang, Jen-Hui Chuang, and Yen-Yu Lin

IEEE Transactions on Multimedia (TMM), 2024

Bib HTML

@article{umam2024unsupervised,
  title = {Unsupervised Point Cloud Co-part Segmentation via Co-attended Superpoint Generation and Aggregation},
  author = {Umam, Ardian and Yang, Cheng-Kun and Chuang, Jen-Hui and Lin, Yen-Yu},
  journal = {IEEE Transactions on Multimedia (TMM)},
  year = {2024},
  publisher = {IEEE},
}