Advanced Topics in Computer Vision

<p>Visual Features: From Early Concepts to Modern Computer Vision<br>Martin Weinmann</p><p></p><p>Where Next in Object Recognition and How Much Supervision Do We Need?<br>Sandra Ebert and Bernt Schiele</p><p></p><p>Recognizing Human Actions by Using Effective Codebooks and Tracking<br>Lamberto Ballan, Lorenzo Seidenari, Giuseppe Serra, Marco Bertini and Alberto Del Bimbo</p><p></p><p>Evaluating and Extending Trajectory Features for Activity Recognition<br>Ross Messing, Atousa Torabi, Aaron Courville and Chris Pal</p><p></p><p>Co-Recognition of Images and Videos: Unsupervised Matching of Identical Object Patterns and its Applications<br>Minsu Cho, Young Min Shin and Kyoung Mu Lee</p><p></p><p>Stereo Matching: State-of-the-Art and Research Challenges<br>Michael Bleyer and Christian Breiteneder</p><p></p><p>Visual Localization for Micro Aerial Vehicles in Urban Outdoor Environments<br>Andreas Wendel and Horst Bischof</p><p></p><p>Moment Constraints in Convex Optimization for Segmentation and Tracking<br>Maria Klodt, Frank Steinbrücker and Daniel Cremers</p><p></p><p>Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets<br>Thomas Mensink, Jakob Verbeek, Florent Perronnin and Gabriela Csurka</p><p></p><p>Top-Down Bayesian Inference of Indoor Scenes<br>Luca Del Pero and Kobus Barnard</p><p></p><p>Efficient Loopy Belief Propagation Using the Four Color Theorem<br>Radu Timofte and Luc Van Gool</p><p></p><p>Boosting k-Nearest Neighbors Classification<br>Paolo Piro, Richard Nock, Wafa Bel Haj Ali, Frank Nielsen and Michel Barlaud</p><p></p><p>Learning Object Detectors in Stationary Environments<br>Peter M. Roth, Sabine Sternig and Horst Bischof</p><p></p><p>Video Temporal Super-Resolution Based on Self-Similarity<br>Mihoko Shimano, Takahiro Okabe, Imari Sato and Yoichi Sato</p>