Lin Shan
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Lin Shan
I am a Research Fellow of Rapid-Rich Object Search (ROSE) Lab at Nanyang Technology University, Singapore. I obtained my Ph.D. degree in 2020 from the University of Warwick, UK under the supervision of Prof. Chang-Tsun Li and Prof. Alex Kot, and BSc degree in Computer Science in 2015 from the University of Warwick, UK. I was a Marie Sklodowska-Curie Fellow funded under the EU IDENTITY project (EU Horizon 2020 Marie Sklodowska-Curie Actions through the project entitled Computer Vision Enabled Multimedia Forensics and People Identification, Project No. 690907, Acronym: IDENTITY). In this fellowship, I have been exchanged to Hong Kong Baptist University and Nanyang Technology University in 2016 and 2017 respectively.
Research Interest
I am broadly interested in AI Surveillance, Machine Learning, and Data Science. My current research focuses on Person Re-identification, Deep Fake Detection and AI Model Cross Domain Adaptation, Generalization, Optimisation and Deployment. I am currently leading a 10 people team in the ROSE Lab NTU, focusing on developing feasible solutions for real-world problems using Artificial Intelligence.
Application 1: ROSE EEE ReID System: Trajectory Tracking [Youtube] [Bilibili] / Person Matching [Youtube] [Bilibili]
Application 2: ROSE & DSTA-Digital Hub Human Re-ID System for COVID-19 (Deployed in Isolation Facility in Changi Exhibition Centre)
Location: Nanyang Technological University Outdoor
Camera: 51 Real-world Surveillance Camera / 38 Camera in the Released Version
Highlight: 805 IDs (549 in Released Version) / 40 Attributes / 24 Hours Images (Day and Night)
Title: Domain Shift Problem in Chest X-ray Diagnosis AI Model
Position: 2nd Runner-up
Title: Visual Analytic System for Pandemic Management During COVID-19
Position: 1st Place
Adversarial Pairwise Reverse Attention for Camera Performance Imbalance in Person Re-Identification: New Dataset and Metrics, ICIP 2022 [arXiv]
DEX: Domain Embedding Expansion for Generalized Person Re-identification, BMVC 2021 [BMVC][arXiv][Slides][Video]
Multi-Domain Adversarial Feature Generalization for Person Re-Identification, IEEE Transactions on Image Processing (TIP) 2020 [IEEE][arXiv]
Person Re-identification with Soft Biometrics through Deep Learning, Deep Biometrics 2020 [Springer][PDF]
Homogeneous Feature Transfer and Heterogeneous Location Fine-tuning for Cross-City Property Appraisal Framework, AusDM 2018 [Springer][arXiv][Slides]
Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification, BMVC 2018 Spotlight [BMVC][arXiv][Youtube][Slides]
End-to-End Correspondence and Relationship Learning of Mid-Level Deep Features for Person Re-Identification. DICTA 2017 [IEEE][PDF][Poster]
Experience
Start Time
End Time
Position
Company
Location
2020 August
Present
Research Fellow
ROSE Lab, Nanyang Technology University
Singapore
2019 October
2020 April
Project Officer
ROSE Lab, Nanyang Technology University
Singapore
2017 October
2019 July
Research Assistant (Marie Curie Fellowship)
ROSE Lab, Nanyang Technology University
Singapore
2016 December
2017 March
Senior Research Assistant (Marie Curie Fellowship)
Hong Kong Baptist University
Hong Kong
2015 March
2015 April
Internship: Monster Hunter Online Game
Tencent / Capcom
Shanghai
2014 July
2013 August
Internship: Power Grid Communication
ZTE / Boom-T
Guangzhou
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