Minerva Weizmann Workshop on Computational Challenges in Large Scale Image Analysis



16-18 February, 2015


The David Lopatie Conference Centere,

Weizmann Institute of Science, Rehovot, Israel.

Workshop Organizers

Prof. Ronen Basri, Weizmann Institute of Science 
Prof. Fred Hamprecht, University of Heidelberg
Prof. Boaz Nadler, Weizmann Institute of Science 
Prof. Gabriele Steidl, University of Kaiserslautern 

Conference coordinator

Inbal Azoulay: Inbal.azoulay@weizmann.ac.il

Conference Program

Program and Abstracts

Monday, Feb 16
08:30-09:00 Gathering and Registration
  • Learning and Optimization
  • 09:00-09:45 Yair Weiss: Learning Optical Flow
    09:45-10:30 Kristian Kersting: Relational Linear Programming
    10:30-11:00 Coffee Break
    11:00-11:45 Shai Shalev-Shwartz: On the Computational Complexity of Deep Learning
    11:45-12:30 Alexander Kolesnikov: Gaussian processes for assessing the quality of training data for large-scale image segmentation
    12:30-14:30 Lunch Break
  • Sublinear methods in image processing
  • 14:30-15:15 Shai Avidan: FAsT-Match: Fast Affine Template Matching
    15:15-16:00 Boaz Nadler: Edge Detection on a Computational Budget: A sublinear approach.
    16:00- 16:30 Coffee Break
  • Poster Session
  • 16:30-18:30 Poster Session at the conference lobby
    18:30 Conference Dinner

    Tuesday, Feb 17
  • Convex formulations in vision and graphics
  • 09:00-09:45 Daniel Cremers: Convex Relaxation Methods for Computer Vision
    09:45-10:30 Bogdan Savchynskyy: Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation
    10:30-11:00 Coffee Break
    11:00-11:45 Yaron Lipman: Bounded Distortion Mappings in Geometry and Image Processing
    11:45-12:30 Jan Lellmann: Variational models with finite and infinite label spaces
    Afternoon Trip to Jerusalem

    Wednesday, Feb 18
  • Segmentation, Restoration and Recognition
  • 09:00-09:45 Stefan Roth: Scaling Image Restoration to Large Images
    09:45-10:30 David Jacobs: Part Detection and Species Identification
    10:30-11:00 Coffee Break
    11:00-11:45 Fred Hamprecht: The asymmetric cut, and efficient inference for the multiway cut
    11:45-12:30 Gabriele Steidl: Second Order Differences of Cyclic Data and Applications in Variational Denoising
    12:30-14:00 Lunch Break
  • Computational Challenges
  • 14:00-14:45 Christoph Lampert: Classifier Adaptation at Prediction Time
    14:45-15:30 Michael Hirsch: Imaging the Invisible Universe - Tracing Dark Matter
    15:30-16:00 Coffee Break
    16:00-18:00 Open time for discussions
    18:00 Conference Dinner

    *** Partial financial support by DAGM is gratefully acknowledged ***