Search Results - "Shen, Chengyao"

SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks by Xun Huang, Chengyao Shen, Boix, Xavier, Qi Zhao

“…Saliency in Context (SALICON) is an ongoing effort that aims at understanding and predicting visual attention. Conventional saliency models typically rely on…”
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Predicting Eye Fixations on Webpage With an Ensemble of Early Features and High-Level Representations from Deep Network by Shen, Chengyao, Huang, Xun, Zhao, Qi

“…In recent decades, webpages are becoming an increasingly important visual information source. Compared with natural images, webpages are different in many…”
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Geometrically local embedding in manifolds for dimension reduction by Ge, Shuzhi Sam, He, Hongsheng, Shen, Chengyao

“…In this paper, geometrically local embedding (GLE) is presented to discover the intrinsic structure of manifolds as a method in nonlinear dimension reduction…”
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Learning to predict eye fixations for semantic contents using multi-layer sparse network by Shen, Chengyao, Zhao, Qi

“…In this paper, we present a novel model for saliency prediction under a unified framework of feature integration. The model distinguishes itself by directly…”
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Attention in Low Resolution: Learning Proto-Object Representations with a Deep Network by Shen, Chengyao, Huang, Xun, Zhao, Qi

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Ultrasound guided automatic localization of needle insertion site for epidural anesthesia by Shuang Yu, Kok Kiong Tan, Chengyao Shen, Sia, Alex Tiong Heng

“…In this paper, ultrasound imaging is utilized to detect the anatomical structure of the lumbar spine based on which an image processing algorithm will search…”
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Learning to predict eye fixations for semantic contents using multi-layer sparse network : Brain inspired models of cognitive memory by CHENGYAO SHEN, QI ZHAO

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Multi-layer linear model for top-down modulation of visual attention in natural egocentric vision by Ma, Keng-Teck, Li, Liyuan, Dai, Peilun, Lim, Joo-Hwee, Shen, Chengyao, Zhao, Qi

“…Top-down attention plays an important role in guidance of human attention in real-world scenarios, but less efforts in computational modeing of visual…”
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Learning of Proto-object Representations via Fixations on Low Resolution by Shen, Chengyao, Huang, Xun, Zhao, Qi

“…While previous researches in eye fixation prediction typically rely on integrating low-level features (e.g. color, edge) to form a saliency map, recently it…”
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