EE Seminar: Maintaining Internal Image Statistics in Synthesized Images
(The talk will be given in English)
Speaker: Prof. Lihi Zelnik-Manor
Faculty of Electrical Engineering, Technion
Monday, June 4th, 2018
15:00 - 16:00
Room 011, Kitot Bldg., Faculty of Engineering
Maintaining Internal Image Statistics in Synthesized Images
Abstract
Recent work has shown impressive success in automatically creating new images with desired properties such as transferring painterly style, modifying facial expressions or manipulating the center of attention of the image. In this talk I will discuss two of the standing challenges in image synthesis and how we tackle them:
- I will describe our efforts in making the synthesized images more photo-realistic.
- I will further show how we can broaden the scope of data that can be used for training synthesis networks, and with that provide a solution to new applications.
BIO
Lihi Zelnik-Manor is an Associate Professor in the Faculty of Electrical Engineering in the Technion, Israel, where she also serves as the Academic Liaison between Technion and CornellTech. Prior to the Technion, she worked as a post-doctoral fellow in the Department of Engineering and Applied Science in the California Institute of Technology (Caltech). She holds a PhD and MSc (with honors) in Computer Science from the Weizmann Institute of Science and a BSc (summa cum laude) in Mechanical Engineering from the Technion. She was a visiting Associate Professor at CornellTech between 2014 and 2016.
Prof. Zelnik-Manor’s awards and honors include the Sloan-Swartz postdoctoral fellowship, the best Student Paper Award at the IEEE SMI'05, the AIM@SHAPE Best Paper Award 2005, and the people's choice award at WACV2018. She is also a recipient of the Gutwirth prize for the promotion of research and several grants from ISF, MOST, the 7th European R&D Program, and others.
Prof Zelnik-Manor has served as Area Chair for ECCV and CVPR multiple times, as Program Chair of CVPR’16 and as Associate Editor at TPAMI. She has further had industrial collaborations with Intel, Adobe, and Microsoft Research.
