• Publications
  • Influence
SUN database: Large-scale scene recognition from abbey to zoo
Scene categorization is a fundamental problem in computer vision. However, scene understanding research has been constrained by the limited scope of currently-used databases which do not capture theExpand
  • 1,990
  • 294
  • PDF
Learning to predict where humans look
For many applications in graphics, design, and human computer interaction, it is essential to understand where humans look in a scene. Where eye tracking devices are not a viable option, models ofExpand
  • 1,674
  • 288
  • PDF
Recognizing scene viewpoint using panoramic place representation
We introduce the problem of scene viewpoint recognition, the goal of which is to classify the type of place shown in a photo, and also recognize the observer's viewpoint within that category ofExpand
  • 174
  • 34
  • PDF
Modelling search for people in 900 scenes: A combined source model of eye guidance
How predictable are human eye movements during search in real world scenes? We recorded 14 observers’ eye movements as they performed a search task (person detection) in 912 outdoor scenes. ObserversExpand
  • 273
  • 23
  • PDF
SUN Database: Exploring a Large Collection of Scene Categories
Progress in scene understanding requires reasoning about the rich and diverse visual environments that make up our daily experience. To this end, we propose the Scene Understanding database, a nearlyExpand
  • 206
  • 22
  • PDF
TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking
Traditional eye tracking requires specialized hardware, which means collecting gaze data from many observers is expensive, tedious and slow. Therefore, existing saliency prediction datasets areExpand
  • 114
  • 10
  • PDF
Rethinking the Role of Top-Down Attention in Vision: Effects Attributable to a Lossy Representation in Peripheral Vision
According to common wisdom in the field of visual perception, top-down selective attention is required in order to bind features into objects. In this view, even simple tasks, such as distinguishingExpand
  • 90
  • 6
  • PDF
A general account of peripheral encoding also predicts scene perception performance.
People are good at rapidly extracting the "gist" of a scene at a glance, meaning with a single fixation. It is generally presumed that this performance cannot be mediated by the same encoding thatExpand
  • 25
  • 2
  • PDF
How visual and semantic information influence learning in familiar contexts.
Previous research using the contextual cuing paradigm has revealed both quantitative and qualitative differences in learning depending on whether repeated contexts are defined by letter arrays orExpand
  • 13
  • 2
  • PDF
Guided Search 5.0: Meeting the challenge of hybrid search and multiple-target foraging.
The most recent Guided Search model (GS4, Wolfe, 2007) combines serial and parallel processes. Parallel guidance by "preattentive" features prioritizes items for serial selection. Items are selectedExpand
  • 12
  • 2