Program

Time Speaker and Collaborators Affiliation Title
08:45-09:15

Gathering

09:15-09:40 Mark Sheinin, Yoav Schechner, Kiriakos Kutulakos Technion, UOT Computational Imaging on the Electric Grid
09:40-10:05 Hadar Averbuch-Elor, Daniel Cohen-Or, Johannes Kopf, Michael Cohen TAU, Facebook Bringing Portraits to Life
10:05-10:30 A. Gabbay, A. Ephrat,
A. Shamir, T. Halperin,
S. Peleg    
HUJI Seeing Through Noise: Visual Speech Enhancement
10:30-10:55 Tali Dekel, Michael Rubinstein, Ce Liu, William Freeman Google Securing Visible Watermarks
10:55-11:25

Coffee Break

11:25-11:50 Roey Mechrez, Eli Shechtman and Lihi Zelnik-Manor Technion, Adobe Photorealistic image synthesis and manipulation
11:50-12:15 Roy Jevnisek, Shai Avidan TAU Co-Occurrence Filter 
12:15-12:40 Yuval Bahat, Netalee Efrat, Michal Irani Weizmann Non-Uniform Blind Deblurring by Reblurring
12:40-13:05 D. Kaufman, G. Levi, T. Hassner, L. Wolf TAU, USC, OU Temporal Tessellation: A Unified Approach for Video Analysis
13:05-14:15

Lunch

14:15-14:40 Ehud Barnea, Ohad Ben-Shahar BGU On the Maximal Utility of Context for Object Detection and When It Is Lacking
14:40-15:05 Gautam Pai, Ron Kimmel Technion Learning Invariant Representations of Planar Curves
15:05-15:30 Oran Shayer, Dan Levi, Ethan Fetaya GM, UOT, Technion Learning Discrete Weights using The Local Reparameterization Trick
 
15:30-15:55 Yehuda Dar, Alfred M. Bruckstein, and Michael Elad Technion Adapting Standard Image Compression to Compensate Post-Decompression Degradation
15:55-16:15

Coffee Break

16:15-16:40 Elad Osherov, Michael Lindenbaum Technion Increasing CNN Robustness to Occlusions by Reducing Filter Support
16:40-17:05 Assaf Shocher, Nadav Cohen, Michal Irani Weizmann, IAS “Zero-Shot” Super-Resolution using Deep Internal Learning
17:05-17:30 Zorah Lähner, Matthias Vestner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alex Bronstein, Michael Bronstein, Ron Kimmel, Daniel Cremers TU Munich, Technion, TAU, USI Lugano Efficient Deformable Shape Correspondence via Kernel Matching

 

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