Search Results - "Ehinger, Krista"

SUN Database: Exploring a Large Collection of Scene Categories by Xiao, Jianxiong, Ehinger, Krista A., Hays, James, Torralba, Antonio, Oliva, Aude

“…Progress in scene understanding requires reasoning about the rich and diverse visual environments that make up our daily experience. To this end, we propose…”
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Modelling search for people in 900 scenes: A combined source model of eye guidance by Ehinger, Krista A., Hidalgo-Sotelo, Barbara, Torralba, Antonio, Oliva, Aude

“…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…”
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A general account of peripheral encoding also predicts scene perception performance by Ehinger, Krista A, Rosenholtz, Ruth

“…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…”
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Amodal Intra-class Instance Segmentation: Synthetic Datasets and Benchmark by Ao, Jiayang, Ke, Qiuhong, Ehinger, Krista A.

“…Images of realistic scenes often contain intra-class objects that are heavily occluded from each other, making the amodal perception task that requires parsing…”
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Rethinking the role of top-down attention in vision: effects attributable to a lossy representation in peripheral vision by Rosenholtz, Ruth, Huang, Jie, Ehinger, Krista A

“…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,…”
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Unicode Analogies: An Anti-Objectivist Visual Reasoning Challenge by Spratley, Steven, Ehinger, Krista A., Miller, Tim

“…Analogical reasoning enables agents to extract relevant information from scenes, and efficiently navigate them in familiar ways. While progressive-matrix…”
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CB Database: A change blindness database for objects in natural indoor scenes by Sareen, Preeti, Ehinger, Krista A., Wolfe, Jeremy M.

“…Change blindness has been a topic of interest in cognitive sciences for decades. Change detection experiments are frequently used for studying various research…”
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When is it time to move to the next map? Optimal foraging in guided visual search by Ehinger, Krista A., Wolfe, Jeremy M.

“…Suppose that you are looking for visual targets in a set of images, each containing an unknown number of targets. How do you perform that search, and how do…”
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Lightness constancy in reality, in virtual reality, and on flat-panel displays by Patel, Khushbu Y., Wilcox, Laurie M., Maloney, Laurence T., Ehinger, Krista A., Patel, Jaykishan Y., Wiedenmann, Emma, Murray, Richard F.

“…Virtual reality (VR) displays are being used in an increasingly wide range of applications. However, previous work shows that viewers often perceive scene…”
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Through the looking-glass: Objects in the mirror are less real by Sareen, Preeti, Ehinger, Krista A., Wolfe, Jeremy M.

“…Is an object reflected in a mirror perceived differently from an object that is seen directly? We asked observers to label “everything” in photographs of…”
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Category systems for real-world scenes by Anderson, Matt D, Graf, Erich W, Elder, James H, Ehinger, Krista A, Adams, Wendy J

“…Categorization performance is a popular metric of scene recognition and understanding in behavioral and computational research. However, categorical constructs…”
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Hiding the Rabbit: Using a genetic algorithm to investigate shape guidance in visual search by Aizenman, Avi M, Ehinger, Krista A, Wick, Farahnaz A, Micheletto, Ruggero, Park, Jungyeon, Jurgensen, Lucas, Wolfe, Jeremy M

“…During visual search, attention is guided by specific features, including shape. Our understanding of shape guidance is limited to specific attributes…”
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Change blindness for cast shadows in natural scenes: Even informative shadow changes are missed by Ehinger, Krista A., Allen, Kala, Wolfe, Jeremy M.

“…Previous work has shown that human observers discount or neglect cast shadows in natural and artificial scenes across a range of visual tasks. This is a…”
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Comparing search patterns in digital breast tomosynthesis and full-field digital mammography: an eye tracking study by Aizenman, Avi, Drew, Trafton, Ehinger, Krista A, Georgian-Smith, Dianne, Wolfe, Jeremy M

“…As a promising imaging modality, digital breast tomosynthesis (DBT) leads to better diagnostic performance than traditional full-field digital mammograms…”
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How Visual and Semantic Information Influence Learning in Familiar Contexts by Goujon, Annabelle, Brockmole, James R, Ehinger, Krista A

“…Previous research using the contextual cuing paradigm has revealed both quantitative and qualitative differences in learning depending on whether repeated…”
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Hypergraph Optimization for Salient Region Detection Based on Foreground and Background Queries by Jinxia Zhang, Shixiong Fang, Ehinger, Krista A., Haikun Wei, Wankou Yang, Kanjian Zhang, Jingyu Yang

“…This work was supported in part by the National Natural Science Fund of China under Grant 61233011, Grant 61374006, Grant 61473086, Grant 61463008, Grant…”
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Basic level scene understanding: categories, attributes and structures by Xiao, Jianxiong, Hays, James, Russell, Bryan C, Patterson, Genevieve, Ehinger, Krista A, Torralba, Antonio, Oliva, Aude

“…A longstanding goal of computer vision is to build a system that can automatically understand a 3D scene from a single image. This requires extracting semantic…”
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What Did the Early American Presidents Really Look Like? Gilbert Stuart Portraits as a “Rosetta Stone” to the Pre-Photography Era by Ehinger, Krista A, Altschuler, Eric L

“…The American painter Gilbert Stuart (1755–1828) painted many prominent individuals, including the first six presidents of the United States, and several of his…”
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Truck Speed Detection Through Video Streams by Huang, Zuo, Sinnott, Richard O., Ehinger, Krista A.

“…Accurately assessing the speed of vehicles is important for traffic management systems. This is especially the case for heavy goods vehicles such as…”
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Image amodal completion: A survey by Ao, Jiayang, Ke, Qiuhong, Ehinger, Krista A.

“…Existing computer vision systems can compete with humans in understanding the visible parts of objects, but still fall far short of humans when it comes to…”
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