Lecture Notes

The following presentations were given at the 2006 Scene Understanding Symposium. All lecture notes are courtesy of the person named and used with permission.

8:55 Opening Remarks
9:00-9:20 From Zero to Gist in 200 msec: The Time Course of Scene Recognition (PDF - 1.3 MB) (Courtesy of Aude Oliva and Michelle Greene.)
9:20-9:45 Feedforward Theories of Visual Cortex Predict Human Performance in Rapid Image Categorization (PDF - 4.4 MB) (Courtesy of Thomas Serre and Tomaso Poggio.)
9:45-10:05 Latency, Duration and Codes for Objects in Inferior Temporal Cortex (PDF - 1.9 MB) (Courtesy of Gabriel Kreiman, Chou Hung, Tomaso Poggio and James DiCarlo.)
10:25-10:50 From Feedforward Vision to Natural Vision: The Impact of Free Viewing, Task, and Clutter on Monkey Inferior Temporal Object Representations (PDF - 1.6 MB) (Courtesy of James DiCarlo.)
10:50-11:10 Invariant Visual Representations of Natural Images by Single Neurons in the Human Brain
11:10-11:40 Perception of Objects in Natural Scenes and the Role of Attention (PDF) (Courtesy of Karla Evans and Anne Treisman.)
1:00-1:25 Natural Scene Categorization: From Humans to Computers (PDF - 5.3 MB) (Courtesy of Li Fei-Fei, Rufin VanRullen, Asha Iyer, Christof Koch and Pietro Perona.)
1:25-1:50 Contextual Associations in the Brain
1:50-2:15 Using the Forest to See the Trees: A Computational Model Relating Features, Objects and Scenes (PDF - 1.2 MB) (Courtesy of Antonio Torralba, Kevin Murphy, and William T. Freeman.)
2:25-2:45 Detecting and Remembering Pictures With and Without Visual Noise
2:45-3:05 Scene Perception after Those First Few Hundred Milliseconds (PDF) (Courtesy of Jeremy M. Wolfe.)
3:05-3:35 The Artist as Neuroscientist
4:00-5:00 Brain and Cognitive Sciences Colloquium - Scene Processing with a Wave of Spikes: Reverse Engineering the Visual System

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