Program

9:15-9:30 Welcome
9:30-10:00
Viren Jain 		Neural Architectures for Large-scale 3D Reconstruction (pdf)
10:00-10:30
Bruno Olshausen 		Perception as an inference problem (pdf)
10:30-11:00 Coffee Break / Poster Session
11:00-11:30
Deva Ramanan 		Augmenting Feedforward Models with Top-Down Feedback (pdf, key)
11:30-12:00
Thomas Brox 		Learning to Estimate Correspondences and 3D Representations
12:00-14:00 Lunch / Poster Session
14:00-14:30 Oral Presentations
  • Iasonas Kokkinos
    A ‘Universal’ CNN for the Joint Treatment of Low-, Mid-, and High-Level Vision Problems (pdf)
  • Anna Khoreva , Rodrigo Benenson, Mohamed Omran, Matthias Hein, Bernt Schiele
    Weakly Supervised Object Boundaries
14:30-15:00
Jitendra Malik 		TBA
15:00-15:30
Daniel Kersten
 Possible functions of cortical feedback in human vision (pdf)
15:30-16:00 Coffee Break
16:00-16:30
Piotr Dollar
 Learning to Segment Objects (pptx)
16:30-17:00 Panel Discussion




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