Monday, June 22

Time: 5:10—6:30
Location: Sparkle East
Session Chair: S. Lazebnik (UNC)

• Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer (Christoph Lampert (Max Planck Institute for Biological Cybernetics), Hannes Nickisch (Max Planck Institute for Biological Cybernetics), Stefan Harmeling (Max Planck Institute for Biological Cybernetics))
• On Bias Correction for Geometric Parameter Estimation in Computer Vision (Takayuki Okatani (Tohoku University), Koichiro Deguchi (Tohoku University))
• Regularized Multi-Class Semi-Supervised Boosting (Amir Saffari (Graz University of Technology), Christian Leistner (Graz University of Technology), Horst Bischof (Graz University of Technology))
• Contextual Classification with Functional Max-Margin Markov Networks (Daniel Munoz (Carnegie Mellon University), James Bagnell (Carnegie Mellon University), Nicolas Vandapel (Carnegie Mellon University), Martial Hebert (Carnegie Mellon University))

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