A unique multidisciplinary perspective on the problem of visual object categorization.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
1. The evolution of object categorization and the challenge of image abstraction Sven Dickinson; 2. Can we understand how the brain solves object recognition James J. DiCarlo; 3. Visual recognition: where do we come from? What are we doing? Where should we go? Pietro Perona; 4. On what it means to see, and what we can do about it Shimon Edelman; 5. Generic object recognition: the case for high level 3-D features Gerard Medioni; 6. Functional organization and development of the human ventral stream Kalanit Grill-Spector; 7. Reasoning about functionality: object recognition and related developments Kevin Bowyer, Melanie Sutton and Louise Stark; 8. The user-interface theory of perception: perception and categorization in the context of evolution Donald Hoffman; 9. Digital images in large collections or on the web often appear near text D. A. Forsyth, Tamara Berg, Cecilia Ovesdotter Alm, Ali Farhadi, Julia Hockenmaier, Nicolas Loeff and Gang Wang; 10. Structural representation of object shape in the brain Charles Connor; 11. Learning hierarchical compositional representations of object structure Sanja Fidler, Marko Boben and Ales Leonardis; 12. Object categorization in man, monkey, and machine: some answers and some open questions Maximilian Riesenhuber; 13. Learning object category modeling, learning, and recognition by stochastic grammar Jake Porway, Benjamin Yao and Song Chun Zhu; 14. The neurophysiology and computational mechanisms of object representation Edmund Rolls; 15. Recognizing visual classes and individual objects by semantic hierarchies Shimon Ullman; 16. Early stages of object categorization Pawan Sinha, Benjamin Balas, Yuri Ostrovsky and Jonas Wulff; 17. Towards integration of different paradigms in modeling, representation and learning of visual categories Mario Fritz and Bernt Schiele; 18. Acquisition and breakdown of category-specificity in the ventral visual stream K. Suzanne Scherf, Marlene Behrmann and Kate Humphreys; 19. Using simple features and relations Marius Leordeanu, Martial Hebert and Rahul Sukthankar; 20. The proactive brain: using memory to anticipate what's next Kestutis Kveraga, Jasmine Boshyan and Moshe Bar; 21. Spatial pyramid matching Svetlana Lazebnik, Cordelia Schmid and Jean Ponce; 22. Perceptual decisions and visual learning in the human brain Zoe Kourtzi; 23. Shapes and shock graphs: from segmented shapes to shapes embedded in images Benjamin Kimia; 24. Correlated structures in natural scenes and their implications on neural learning of prior models for objects and surfaces Tai Sing Lee, Tom Stepleton, Brian Potetz and Jason Samonds; 25. Medial models for recognition Kaleem Siddiqi and Stephen Pizer; 26. Multimodal categorization C. Wallraven and Heinrich Bulthoff; 27. Comparing images of 3-D objects David W. Jacobs.
1. The evolution of object categorization and the challenge of image abstraction Sven Dickinson; 2. Can we understand how the brain solves object recognition James J. DiCarlo; 3. Visual recognition: where do we come from? What are we doing? Where should we go? Pietro Perona; 4. On what it means to see, and what we can do about it Shimon Edelman; 5. Generic object recognition: the case for high level 3-D features Gerard Medioni; 6. Functional organization and development of the human ventral stream Kalanit Grill-Spector; 7. Reasoning about functionality: object recognition and related developments Kevin Bowyer, Melanie Sutton and Louise Stark; 8. The user-interface theory of perception: perception and categorization in the context of evolution Donald Hoffman; 9. Digital images in large collections or on the web often appear near text D. A. Forsyth, Tamara Berg, Cecilia Ovesdotter Alm, Ali Farhadi, Julia Hockenmaier, Nicolas Loeff and Gang Wang; 10. Structural representation of object shape in the brain Charles Connor; 11. Learning hierarchical compositional representations of object structure Sanja Fidler, Marko Boben and Ales Leonardis; 12. Object categorization in man, monkey, and machine: some answers and some open questions Maximilian Riesenhuber; 13. Learning object category modeling, learning, and recognition by stochastic grammar Jake Porway, Benjamin Yao and Song Chun Zhu; 14. The neurophysiology and computational mechanisms of object representation Edmund Rolls; 15. Recognizing visual classes and individual objects by semantic hierarchies Shimon Ullman; 16. Early stages of object categorization Pawan Sinha, Benjamin Balas, Yuri Ostrovsky and Jonas Wulff; 17. Towards integration of different paradigms in modeling, representation and learning of visual categories Mario Fritz and Bernt Schiele; 18. Acquisition and breakdown of category-specificity in the ventral visual stream K. Suzanne Scherf, Marlene Behrmann and Kate Humphreys; 19. Using simple features and relations Marius Leordeanu, Martial Hebert and Rahul Sukthankar; 20. The proactive brain: using memory to anticipate what's next Kestutis Kveraga, Jasmine Boshyan and Moshe Bar; 21. Spatial pyramid matching Svetlana Lazebnik, Cordelia Schmid and Jean Ponce; 22. Perceptual decisions and visual learning in the human brain Zoe Kourtzi; 23. Shapes and shock graphs: from segmented shapes to shapes embedded in images Benjamin Kimia; 24. Correlated structures in natural scenes and their implications on neural learning of prior models for objects and surfaces Tai Sing Lee, Tom Stepleton, Brian Potetz and Jason Samonds; 25. Medial models for recognition Kaleem Siddiqi and Stephen Pizer; 26. Multimodal categorization C. Wallraven and Heinrich Bulthoff; 27. Comparing images of 3-D objects David W. Jacobs.
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