Scene Understanding Symposium: 资源库

教学讲稿(Lecture Notes) 1: From Zero to Gist in 200 msec: The Time Course of Scene Recognition

1: From Zero to Gist in 200 msec: The Time Course of Scene Recognition

2: Feedforward Theories of Visual Cortex Predict Human Performance in Rapid Image Categorization

2: Feedforward Theories of Visual Cortex Predict Human Performance in Rapid Image Categorization

3: Latency, Duration and Codes for Objects in Inferior Temporal Cortex

3: Latency, Duration and Codes for Objects in Inferior Temporal Cortex

4: From Feedforward Vision to Natural Vision: The Impact of Free Viewing, Task, and Clutter on Monkey Inferior Temporal Object Representations

4: From Feedforward Vision to Natural Vision: The Impact of Free Viewing, Task, and Clutter on Monkey Inferior Temporal Object Representations

5: Perception of Objects in Natural Scenes and the Role of Attention

5: Perception of Objects in Natural Scenes and the Role of Attention

6: Natural Scene Categorization: From Humans to Computers

6: Natural Scene Categorization: From Humans to Computers

7: Using the Forest to See the Trees: A Computational Model Relating Features, Objects and Scenes

7: Using the Forest to See the Trees: A Computational Model Relating Features, Objects and Scenes

8: Scene Perception after Those First Few Hundred Milliseconds

8: Scene Perception after Those First Few Hundred Milliseconds

其他教学资源(Other Resources) 1: Oliva, Aude, and Antonio Torralba. 'Building the Gist of a Scene: The Role of Global Image Features in Recognition.'

1: Oliva, Aude, and Antonio Torralba. 'Building the Gist of a Scene: The Role of Global Image Features in Recognition.'

2: Greene, Michelle R., and Aude Oliva. 'Natural Scene Categorization from Conjunctions of Ecological Global Properties.'

2: Greene, Michelle R., and Aude Oliva. 'Natural Scene Categorization from Conjunctions of Ecological Global Properties.'

3: Serre, Thomas, Minjoon Kouh, Charles Cadieu, Ulf Knoblich, Gabriel Kreiman, and Tomaso Poggio. 'A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex.'

3: Serre, Thomas, Minjoon Kouh, Charles Cadieu, Ulf Knoblich, Gabriel Kreiman, and Tomaso Poggio. 'A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex.'

4: Serre, Thomas, Lior Wolf, and Tomaso Poggio. 'Object Recognition with Features Inspired by Visual Cortex.'

4: Serre, Thomas, Lior Wolf, and Tomaso Poggio. 'Object Recognition with Features Inspired by Visual Cortex.'

5: Murphy, Kevin, Antonio Torralba, and William T. Freeman. 'Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes.'

5: Murphy, Kevin, Antonio Torralba, and William T. Freeman. 'Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes.'

6: Oliva, Aude, Antonio Torralba, Monica S. Castelhano, and John M. Henderson. 'Top Down Control of Visual Attention in Object Detection.'

6: Oliva, Aude, Antonio Torralba, Monica S. Castelhano, and John M. Henderson. 'Top Down Control of Visual Attention in Object Detection.'

7: Wolfe, Jeremy M. 'Guided Search 4.0: Current Progress with a Model of Visual Search.'

7: Wolfe, Jeremy M. 'Guided Search 4.0: Current Progress with a Model of Visual Search.'