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Predicting Object Dynamics in Scenes
Given a static scene, a human can trivially enumerate the myriad of things that can happen next and characterize the relative likelihood of each.
Detecting Objects using Deformation Dictionaries
Several popular and effective object detectors separately model intra-class variations arising from deformations and appearance changes.
Exploring Weak Stabilization for Motion Feature Extraction
We describe novel but simple motion features for the problem of detecting objects in video sequences.
Bringing Semantics into Focus Using Visual Abstraction
Importantly, abstract images also allow the ability to generate sets of semantically similar scenes.
Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection
Our features, called sketch tokens, are learned using supervised mid-level information in the form of hand drawn contours in images.
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