ONLINE TALK[2CPD]: AI Deep Learning: Blurring the Line between Real and the Fake

ONLINE TECHNICAL TALK 

AI Deep Learning: Blurring the Line between Real and the Fake

Date             : 03^rd December 2020 (Thursday)

Time             : 6:00pm – 8:00pm

Venue           : Online Platform

 Details of Online Login ID will be provided after registration

Synopsis

Deep learning enables one to generate high-quality and realistic audio-visual content. The rise of synthetic media will inevitably shift the paradigm in media creation and consumption. In this talk, speaker will share recent advances of generative adversarial networks and its various applications.

First, speaker will present a method that can edit a target portrait footage by taking a sequence of audio as input to synthesize a photo-realistic video.  Speaker will then show the possibility of decomposing objects in a single image for creative content creation.  Speaker will also talk about how deep generative prior can be exploited to achieve flexible image restoration and manipulation. While synthetic media technologies will significantly accelerate creative expression, it will also bring with them challenges around truth and identity provenance. Speaker will discuss how we may protect ourselves from malicious usages of such technologies.

Biodata of Speaker

Dr. Chen Change, Loy

Dr. Chen Change, Loy is a Nanyang Associate Professor with the School of Computer Science and Engineering, Nanyang Technological University, Singapore.   He is also an Adjunct Associate Professor at the Chinese University of Hong Kong.   He received his PhD (2010) in Computer Science from the Queen Mary University of London. Before joining NTU, he served as a Research Assistant Professor at the MMLab of the Chinese University of Hong Kong, from 2013 to 2018. He is the recipient of 2019 Nanyang Associate Professorship (Early Career Award) from Nanyang Technological University.

He is recognized by inclusion in the AI 2000 Most Influential Scholar Annual List (AI 2000). His research interests include computer vision and deep learning with a focus on image/video restoration, enhancement, and manipulation.  His journal paper on image super-resolution was selected as the `Most Popular Article' by TPAMI in 2016.  It remains as one of the top 10 articles to date. He serves as an Associate Editor of the IJCV and TPAMI.   

He also serves/served as the Area Chair of CVPR 2021, CVPR 2019, BMVC 2019, ECCV 2018, and BMVC 2018. He has co-organized several workshops and challenges at major computer vision conferences. He is a senior member of IEEE.

Website: www.ntu.edu.sg/home/ccloy/

R E G I S T R A T I O N 

• Closing Date: Registration should reach us latest by 1 Dec 2020 or when registration is full, whichever is earlier.
• Last minute registration will NOT be accepted.
• Registered member participant shall attend the seminar himself/herself personally. In the event a representative has been sent to attend, the representative must be a member of the same grade, otherwise the difference in registration fee must be paid before admission is allowed.
• Attendance by representative will not be issued with the Certificate of Attendance.
• Participants are to login with FULL NAME as verification of Attendance for the whole duration of the event.
• Fee is non-refundable and non-transferable.
• If fail to attend the event, the fee paid will not be refunded.

Registration with Payment: on a ‘first-come-first-served’ basis.

Payment Mode

Internet banking (GIRO) / Cash  / Cheque make payable to “The Institution of Engineers, Malaysia” and bank-in to:  CIMB BANK Account #: 80 0762026 7

*** Please e-mail Registration Form together with payment slip to us for our confirmation.

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I have read and understood the IEM’s Personal Data Protection Notice published on IEM’s website at http://www.myiem.org.my; and I agree to IEM’s use and processing of my personal data as set out in the said notice.