Summarization: Predicting visual attention can significantly improve scene design, interactivity and rendering. For example, image synthesis can be accelerated by reducing computation on non-attended scene regions; attention can also be used to improve LOD. Most previous attention models are based on low-level image features, as it is computationally and conceptually challenging to take into account highlevel factors such as scene context, topology or task.Presented on
Deep saliency models represent the current state-of-the-art for predicting where humans look in real...
Visual attention is an important mechanism in our human vision system, which filters out redundant a...
This article describes a model for including scene/context priors in attention guidance. In the prop...
Summarization: Successfully predicting visual attention can significantly improve many aspects of co...
Successfully predicting visual attention can significantly improve many aspects of computer graphics...
Successfully predicting visual attention can significantly improve many aspects of computer graphics...
Predicting visual attention can significantly improve scene design, interactivity and rendering. For...
Summarization: The prediction of visual attention can significantly improve many aspects of computer...
International audienceA computational model of visual attention using visual inferences is proposed....
A large body of previous models to predict where people look in natural scenes focused on pixel-leve...
ABSTRACT. Research in the computational modelling of the visual attention has mushroomed in recent y...
Narayan V, Tscherepanow M, Wrede B. Integrating habituation into saliency maps. In: Proceedings of ...
For many applications in graphics, design, and human computer interaction, it is essential to unders...
The human visual system has limited capacity in simultaneously processing multiple visual inputs. Co...
Yu, JingyiHuman Attention Simulation is a long-standing problem in computer vision area. Researchers...
Deep saliency models represent the current state-of-the-art for predicting where humans look in real...
Visual attention is an important mechanism in our human vision system, which filters out redundant a...
This article describes a model for including scene/context priors in attention guidance. In the prop...
Summarization: Successfully predicting visual attention can significantly improve many aspects of co...
Successfully predicting visual attention can significantly improve many aspects of computer graphics...
Successfully predicting visual attention can significantly improve many aspects of computer graphics...
Predicting visual attention can significantly improve scene design, interactivity and rendering. For...
Summarization: The prediction of visual attention can significantly improve many aspects of computer...
International audienceA computational model of visual attention using visual inferences is proposed....
A large body of previous models to predict where people look in natural scenes focused on pixel-leve...
ABSTRACT. Research in the computational modelling of the visual attention has mushroomed in recent y...
Narayan V, Tscherepanow M, Wrede B. Integrating habituation into saliency maps. In: Proceedings of ...
For many applications in graphics, design, and human computer interaction, it is essential to unders...
The human visual system has limited capacity in simultaneously processing multiple visual inputs. Co...
Yu, JingyiHuman Attention Simulation is a long-standing problem in computer vision area. Researchers...
Deep saliency models represent the current state-of-the-art for predicting where humans look in real...
Visual attention is an important mechanism in our human vision system, which filters out redundant a...
This article describes a model for including scene/context priors in attention guidance. In the prop...