Chia-Wen Kuo (郭佳文)

Research Interests: Vision and Language; Semi-Supervised Learning; Self-Supervised Learning; Zero-Shot Learning

Contact: albert.cwkuo[AT]gatech.edu

Chia-Wen Kuo (郭佳文) is currently a Ph.D. student at Georgia Tech majoring in Robotics. He joined RobotIcs Perception and Learning (RIPL) lab led by Dr. Zsolt Kira in 2017 as a research assistant and Ph.D. student. He is currently working on leveraging language as a flexible but potentially noisy training signal for vision tasks. He is also interested in learning with less supervision including semi-supervised learning, self-supervised learning, and zero-shot learning.

Before joining Georgia Tech, he worked with Dr. Yu-Chiang Frank Wang on 3D shape generation and pose estimation. Before that, he earned his Master's and Bachelor's degrees in Electrical Engineering at National Taiwan University.

Publications

Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image

Chia-Wen Kuo and Zsolt Kira

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022

[arXiv] / [GitHub] / [Project]

Unbiased Teacher for Semi-Supervised Object Detection

Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda

International Conference on Learning Representations (ICLR), 2021

[arXiv] / [GitHub] / [Project]

FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning

Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang, Zsolt Kira

European Conference on Computer Vision (ECCV), 2020

[arXiv] / [GitHub] / [Project]

Who2com: Collaborative Perception via Learnable Handshake Communication

Yen-Cheng Liu, Junjiao Tian, Chih-Yao Ma, Nathaniel Glaser, Chia-Wen Kuo, Zsolt Kira

International Conference on Robotics and Automation (ICRA), 2020

[arXiv] / [Project]

Data-Efficient Graph Embedding Learning for PCB Component Detection

Chia-Wen Kuo, Jacob D. Ashmore, David Huggins, Zsolt Kira

IEEE Winter Conference on Applications of Computer Vision (WACV), 2019

[arXiv] / [Project]

Research Experiences

Rekognition team @ Amazon AWS AI

Role: Applied scientist intern

Advisor: Yuting Zhang

Project: Leveraging cross-modal pre-trained models for vision-and-language tasks.

May '20 - Aug '20

Computer Vision team @ Facebook AI & Applied Research

Role: Research intern

Advisor: Zeki Yalniz

Project: Learned data augmentation for self-supervised learning.

Jan '17 – Aug '17

Research Center for Information Technology Innovation @ Academia Sinica

Role: Research assistant

Advisor: Yu-Chiang Frank Wang

Project: 3D object reconstruction and pose estimation via generative models.

Education

Aug '17 - Present

Ph.D. @ Georgia Institute of Technology (Atlanta, USA)

Major: Robotics, working on computer vision and deep learning

Advisor: Dr. Zsolt Kira

Research interests: vision and language; learning with less supervision.

Sep '13 - Jun '15

M.S. @ National Taiwan University (Taipei, Taiwan)

Major: Electrical Engineering

Advisor: Prof. Ren C. Luo

Thesis title: Robot Integrated 3D Object Recognition and Fetching System for Factory Automation

Sep '09 - Jun '13

B.S. @ National Taiwan University (Taipei, Taiwan)

Major: Electrical Engineering