Chia-Wen Kuo (郭佳文)
Current Research Focus: Vision and Language; Knowledge Augmentation; Semi-Supervised Learning; Self-Supervised Learning; Zero-Shot Learning
Chia-Wen Kuo (郭佳文) is currently a Ph.D. candidate at Georgia Tech specializing in deep learning for vision and language research. He joined RobotIcs Perception and Learning (RIPL) lab led by Dr. Zsolt Kira in 2017. His recent works center on how to efficiently and effectively leverage external knowledge for VL tasks. Additionally, he is interested in learning with less supervision including semi-supervised learning, self-supervised learning, and zero-shot learning.
Prior to 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.
🔥 Expected graduation date: Dec 2023. Actively looking for a research position in the industry. 🔥
Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation
[WACV 2023] Chia-Wen Kuo, Chih-Yao Ma, Judy Hoffman, Zsolt Kira
We propose SEA to improve the visual representation through a series of self-supervised tasks for vision-and-language navigation.
Unbiased Teacher for Semi-Supervised Object Detection
[ICLR 2021] Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda
We propose Unbiased Teacher using focal loss and teacher-student training to reduce the bias in pseudo-labeling for semi-supervised object detection.
Data-Efficient Graph Embedding Learning for PCB Component Detection
[WACV 2019] Chia-Wen Kuo, Jacob D. Ashmore, David Huggins, Zsolt Kira
We improve few-shot PCB component detection by leveraging the similarity relationship between detected components and component prototypes via graph neural network.
May '20 - Aug '20
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.
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
Sep '09 - Jun '13
B.S. @ National Taiwan University (Taipei, Taiwan)
Major: Electrical Engineering