I-Jieh Liu

Taipei, Taiwan CV | LinkedIn | GitHub

I am a graduate student pursuing my M.S. degree in the Data Science group under the Communication Engineering Dept. at NTU. My area of focus centers around research and programming, with a particular interest in Deep Learning (DL), and Computer Vision (CV). I have a particular interest in Computer Vision (CV) and strive to enhance my understanding and insight in this field by immersing myself in trending papers.

Currently, I’m advised by Yu‑Chiang Frank Wang at Vision and Learning Lab. My research primarily revolves around various CV domains, including but not limited to Federated Learning, Referring Video Object Segmentation, NeRF, 3D generation, Transfer Learning, Vision & Language, etc. Through my dedication and continuous exploration, I aim to contribute to the advancement of Computer Vision while expanding my knowledge and expertise in this exciting field.

News

Jun 15, 2024	Our paper GroPrompt is accepted by CVPRW 2024 (CV in the wild). See you in Seattle!
May 23, 2024	One first co-author paper is under review in NeurIPS 2024.
Mar 6, 2024	Our paper GSNeRF is accepted by CVPR 2024. See you at Seattle!
Dec 10, 2023	Our paper FedLGT is accepted by AAAI 2024. See you at Vancouver!
Jul 10, 2023	Create my personal website.

Selected publications

2024

GroPrompt: Efficient Grounded Prompting and Adaptation for Referring Video Object Segmentation

Ci-Siang Lin*, I-Jieh Liu*, Min-Hung Chen, Chien-Yi Wang, Sifei Liu, and Yu-Chiang Frank Wang

In CVPRW, 2024

arXiv Bib Website

@inproceedings{lin2024groprompt,
  author = {Lin*, Ci-Siang and Liu*, I-Jieh and Chen, Min-Hung and Wang, Chien-Yi and Liu, Sifei and Wang, Yu-Chiang Frank},
  title = {GroPrompt: Efficient Grounded Prompting and Adaptation for Referring Video Object Segmentation},
  booktitle = {CVPRW},
  year = {2024},
}

GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding

Zi‑Ting Chou*, Sheng‑Yu Huang*, I‑Jieh Liu, and Yu‑Chiang Frank Wang

In CVPR, 2024

arXiv Bib Code Website

@inproceedings{Chou2024gsnerf,
  author = {Chou*, Zi‑Ting and Huang*, Sheng‑Yu and Liu, I‑Jieh and Wang, Yu‑Chiang Frank},
  title = {GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding},
  booktitle = {CVPR},
  year = {2024},
}

Language-Guided Transformer for Federated Multi-Label Classification

I-Jieh Liu, Ci-Siang Lin, Fu-En Yang, and Yu-Chiang Frank Wang

In AAAI, 2024

arXiv Bib Code Website

@inproceedings{liu2024fedlgt,
  author = {Liu, I-Jieh and Lin, Ci-Siang and Yang, Fu-En and Wang, Yu-Chiang Frank},
  title = {Language-Guided Transformer for Federated Multi-Label Classification},
  booktitle = {AAAI},
  year = {2024},
}