HKBU  |  SCI  |  BUniPort  |  Library  |  Alumni  |  Job Vacancies  |  Intranet  |  Sitemap        
Undergraduate Admissions
Taught Postgraduate Admissions
Research Postgraduate Admissions
Scholarship
News & Achievements
Events
Video
Research Highlights
Contact & Direction
International Exchange and Internship Programmes
 
HONG KONG BAPTIST UNIVERSITY
FACULTY OF SCIENCE

Department of Computer Science Distinguished Lecture
2017 Series

Face Clustering at Scale

Prof. Anil K. Jain
University Distinguished Professor
Department of Computer Science & Engineering
Michigan State University

Date: June 19, 2017 (Monday)
Time: 4:30 - 5:30 pm
Venue: LT2 (SCT502), Cha Chi Ming Science Tower, Ho Sin Hang Campus

Abstract
Given a large collection of unlabeled face images, we address the problem of clustering faces into an unknown number of identities. This problem is of interest in social media, law enforcement, and other applications, where the number of faces can be of the order of hundreds of million, while the number of identities (clusters) can range from a few thousand to millions. To address the challenges of run-time complexity and cluster quality, we present an approximate Rank-Order clustering algorithm that performs better than popular clustering algorithms (k-Means and Spectral). Our experiments include clustering up to 123 million face images into over 10 million clusters. Clustering results are analyzed in terms of external (known face labels) and internal (unknown face labels) quality measures, and run-time. Our algorithm achieves an F-measure of 0.87 on the LFW benchmark (13K faces of 5, 749 individuals), which drops to 0.27 on the largest dataset considered (13K faces in LFW + 123M distractor images). Additionally, we show that frames in the YouTube video benchmark can be clustered with an F-measure of 0.71. An internal per-cluster quality measure is developed to rank individual clusters for manual exploration of high quality clusters that are compact and isolated.

Biography
Anil Jain is a University distinguished professor in the Department of Computer Science and Engineering at Michigan State University. His research interests include pattern recognition and biometric authentication. ISI has designated him as a highly cited author. He is a Fellow of the ACM and IEEE and is a recipient of Guggenheim, Humboldt and Fulbright awards. Anil served as the editor-in-chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence, a member of the United States Defense Science Board and a member of the Forensic Science Standards Board. He is a member of the United States National Academy of Engineering and Foreign Fellow of the Indian National Academy of Engineering.

********* ALL INTERESTED ARE WELCOME ***********
(For enquiry, please contact Computer Science Department at 3411 2385)

http://www.comp.hkbu.edu.hk/v1/?page=dlecture&id=426
Poster   Photos  Slides  Video
Copyright © 2017. All rights reserved.Privacy Policy
Department of Computer Science, Hong Kong Baptist University
Hong Kong Baptist University