Chih-Ting (Jackie) Liu

Chih-Ting (Jackie) Liu

Computer Vision Applied Scientist

Amazon Lab126 in Taiwan

Biography

My name is Chih-Ting Liu (劉致廷 in Chinese). I am a Computer Vision Applied Scientist in Amazon Lab126 at Taipei, Taiwan. I work on enabling cutting-edge computer vision features on Amazon devices and Ring devices. In July 2022, I received my Ph.D. degree from National Taiwan University (NTU) at the Media IC and System Lab, advised by Prof. Shao-Yi Chien.

My research interest is mainly on recongnition system in computer vision, including human recognition (re-identification), face recognition and object tracking. Moreover, in order to deploy AI on edge devices, I also focus on techniques related to on-device training, such as federated learning, and on-device inference, such as network pruning. Here are my Google Scholar and CV.

Interests

  • Deep Learning for Computer Vision
  • Image/Video Recognition and Tracking
  • Person/Vehicle Re-Identification (Re-ID)
  • Neural Network Pruning
  • Federated Learning for Recognition

Education

  • Ph.D. in Electronics Enginieering, 2022

    National Taiwan University

  • M.S. in Electronics Engineering, 2019

    National Taiwan University

  • B.S. in Electrical Engineering, 2017

    National Taiwan University

Recent News

[Ph.D. Dissertation] My Ph.D. dissertation “Learning Efficient and Effective Person Re-identification in Multi-Camera Tracking System and Beyond” can be downloaded here

[Aug. 2022] I start my new career as an computer vision applied scientist in Amazon Lab126 at Taipei!

[Jul. 2022] I pass the oral defense and got my Ph.D. degree from National Taiwan University (NTU)!

Industry Experience

 
 
 
 
 

Applied Scientist

Amazon

Amazon

Aug 2022 – Present Amazon Lab126, Taipei, Taiwan
Develop CV triggered featured for Amazon devices containing Alexa and Ring camera devices.
 
 
 
 
 

Research Intern

Microsoft

Microsoft

Mar 2021 – Sep 2021 AI R&D Center, Taipei, Taiwan
Develop an end-to-end federated learning face recognition framework that can jointly improve generic face representation and personalized user experience.
 
 
 
 
 

Research Intern

MediaTek

MediaTek

Mar 2020 – Jul 2020 Intelligent Vision Processing (IVP), Hsinchu, Taiwan
Develop one-stage real-time multi-object tracking system that integrate detection and tracking into one network.
 
 
 
 
 

Research Intern

MediaTek

MediaTek

Jun 2017 – Sep 2017 Video Coding Processing (VCP), Hsinchu, Taiwan
Focus on developing a deep-learning based coding unit (CU) decision policy for the next generation Codec.

Publications

FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition

Hard Samples Rectification for Unsupervised Cross-domain Person Re-identification

Video-based Person Re-identification without Bells and Whistles

Space-Time Guided Association Learning For Unsupervised Person Re-Identification

Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network

Contact