Recent Lecture

Prof. Rama Chellappa

Prof. Rama Chellappa

Distinguished University Professor
Minta Martin Professor of Engineering and Chair
Department of Electrical and Computer Engineering
University of Maryland, USA


Poster Photo Video


Deep Representations, Adversarial Learning and Domain Adaptation for Some Computer Vision Problems

6 July 2018 (Friday) 4:00 - 5:00 p.m.

LT1 (SCT501), Cha Chi Ming Science Tower, Ho Sin Hang Campus, HKBU

Abstract
Recent developments in deep representation-based methods for many computer vision problems have knocked down many research themes pursued over the last four decades. In this talk, I will discuss methods based on deep representations for designing robust computer vision systems with applications in unconstrained face and action verification and recognition, expression recognition, subject clustering and attribute extraction. The face and action recognition system being built at UMD is based on fusing multiple deep convolutional neural networks (DCNNs) trained using publicly available still and video face data sets and task appropriate loss functions. I will then discuss some new results on generative adversarial learning and domain adaptation for improving the robustness of computer vision systems.

Past Events

Speaker Title Date & Venue
Prof. Pascal Poupart Prof. Pascal Poupart
Professor
David R. Cheriton School of Computer Science, University of Waterloo, Canada
Personalized Transfer Learning

Abstract Biography Poster Photo Video Slides
Nov 21, 2017 (Tue)
4:30pm, WLB210
Prof. Joseph A. Konstan Prof. Joseph A. Konstan
Distinguished McKnight Professor and Distinguished University Teaching Professor
Department of Computer Science and Engineering, University of Minnesota, USA
Recommender Systems: Beyond Machine Learning

Abstract Biography Poster Photo Video Slides
Jan 10, 2018 (Wed)
11:00am, CVA111
Prof. Ikhlaq Sidhu Prof. Ikhlaq Sidhu
Professor & Chief Scientist, UC Berkeley;
Founding Director, Center for Entrepreneurship & Technology;
Visiting Chair Professor at Department of Physics and Computer Science, Faculty of Science, HKBU;
Instructor of Undergraduate Course INDENG135, Applied Data Science with Venture Applications at UC Berkeley;
Instructor of Master Class: Research Trends in AI with Venture Applications at GMIC, Hong Kong, October 2017
"How to Achieve Data Analytics and Artificial Intelligence in X"
Learning from Experiences at UC Berkeley


Abstract Biography Poster Photo Video Slides

^ Co-organized by Knowledge Transfer Office, HKBU
Jan 23, 2018 (Tue)
4:30pm, WLB109
Prof. Edwin R. Hancock Prof. Edwin Hancock
Editor-in-Chief Pattern Recognition, Second Vice-President International Association for Pattern Recognition,
Principal Investigator - Beijing Advanced Innovation Center for Big Data and Brain Computing,
Professor of Computer Vision and Head CVPR Group,
Department of Computer Science,
University of York, UK
Entropic Analysis of Time Evolving Networks

Abstract Biography Poster Photo Video Slides
Mar 8, 2018 (Thu)
10:30am, RRS905
Prof. Christian S. Jensen Prof. Christian S. Jensen
Obel Professor
Department of Computer Science
Aalborg University, Denmark
Enabling High-Quality and Efficient Vehicle Routing using Massive Trajectory Data

Abstract Biography Poster Photo Video Slides
Apr 10, 2018 (Tue)
4:30pm, RRS905
Prof. Yaochu Jin
Prof. Yaochu Jin
Professor in Computational Intelligence
Department of Computer Science
University of Surrey, UK
Data-driven Evolutionary Optimization – Integrating Evolutionary Computation, Machine Learning and Data Sciences
Abstract Biography Poster Photo Video Slides
May 24, 2018 (Thur)
10:30am, RRS905
Prof. Ponnuthurai Nagaratnam Suganthan Prof. Ponnuthurai Nagaratnam Suganthan
CIS Distinguished Lecturer;
Editorial Board Member of the Evolutionary Computation Journal, MIT Press;
School of Electrical & Electronic Engineering,
Nanyang Technological University, Singapore
Non-iterative Learning Methods

Abstract Biography Poster Photo Video Slides

^ Co-organized by IEEE (Hong Kong) Computational Intelligence Chapter
* This Distinguished Lecture is sponsored by the Computational Intelligence Society under its Distinguished Lecturer Program.
Jun 6, 2018 (Wed)
10:30am, RRS905
Prof. Yuhui Shi Prof. Yuhui Shi
Chair Professor
Department of Computer Science and Engineering
Southern University of Science and Technology (SUSTech), China
Developmental Brain Storm Optimization Algorithms

Abstract Biography Poster Photo Video Slides
Jun 26, 2018 (Tue)
11:00am, RRS905

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Enquiry

For further information or enquiry about this lecture series, please contact:
Tel: (+852) 3411-2385
Email:
Website: http://www.comp.hkbu.edu.hk/