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Fixation prediction with a combined model of bottom-up saliency and vanishing point
Mengyang Feng, Ali Borji, Huchuan Lu
By predicting where humans look in natural scenes, we can understand how they perceive complex natural scenes and prioritize information for further high-level visual processing. S…
Vanishing point attracts gaze in free-viewing and visual search tasks
Ali Borji, Mengyang Feng
To investigate whether the vanishing point (VP) plays a significant role in gaze guidance, we ran two experiments. In the first one, we recorded fixations of 10 observers (4 female…
Computational models: Bottom-up and top-down aspects
Laurent Itti, Ali Borji
Computational models of visual attention have become popular over the past decade, we believe primarily for two reasons: First, models make testable predictions that can be explore…
Computational models of attention
Laurent Itti, Ali Borji
This chapter reviews recent computational models of visual attention. We begin with models for the bottom-up or stimulus-driven guidance of attention to salient visual items, which…
CAT2000: A Large Scale Fixation Dataset for Boosting Saliency Research
Ali Borji, Laurent Itti
Saliency modeling has been an active research area in computer vision for about two decades. Existing state of the art models perform very well in predicting where people look in n…
Vanishing Point Attracts Eye Movements in Scene Free-viewing
Ali Borji, Mengyang Feng, Huchuan Lu
Eye movements are crucial in understanding complex scenes. By predicting where humans look in natural scenes, we can understand how they percieve scenes and priotriaze information…
Reconciling saliency and object center-bias hypotheses in explaining free-viewing fixations
Ali Borji, James Tanner
Predicting where people look in natural scenes has attracted a lot of interest in computer vision and computational neuroscience over the past two decades. Two seemingly contrastin…
Salient Object Detection: A Benchmark
Ali Borji, Ming-Ming Cheng, Huaizu Jiang +1
We extensively compare, qualitatively and quantitatively, 40 state-of-the-art models (28 salient object detection, 10 fixation prediction, 1 objectness, and 1 baseline) over 6 chal…