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Related papers: Visual Attention and its Intimate Links to Spatial…

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Spatial computing is a technological advancement that facilitates the seamless integration of devices into the physical environment, resulting in a more natural and intuitive digital world user experience. Spatial computing has the…

Currently virtual reality (VR) usage in training processes is increasing due to their usefulness in the learning processes based on visual information empowered. The information in virtual environments is perceived by sight, sound and…

Neurons and Cognition · Quantitative Biology 2019-08-15 Cesar R. Salas Guerra

We have a lot of relation to the encoding and the Theory of Information, when considering thinking. This is a natural process and, at once, the complex thing we investigate. This always was a challenge - to understand how our mind works,…

Artificial Intelligence · Computer Science 2012-12-27 Kirill A. Sorudeykin

The World Wide Web continues to evolve and serve as the infrastructure for carrying massive amounts of multimodal and multisensory observations. These observations capture various situations pertinent to people's needs and interests along…

Artificial Intelligence · Computer Science 2015-10-21 Amit Sheth , Pramod Anantharam , Cory Henson

We approach the question "What is Consciousness?" in a new way, not as Descartes' "systematic doubt", but as how organisms find their way in their world. Finding one's way involves finding possible uses of features of the world that might…

Physics and Society · Physics 2022-06-30 Stuart A. Kauffman , Andrea Roli

The ability to process long contexts is crucial for many natural language processing tasks, yet it remains a significant challenge. While substantial progress has been made in enhancing the efficiency of attention mechanisms, there is still…

Computation and Language · Computer Science 2025-03-06 Konstantin Donhauser , Charles Arnal , Mohammad Pezeshki , Vivien Cabannes , David Lopez-Paz , Kartik Ahuja

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 we examine in seven different broad categories. We then…

Computer Vision and Pattern Recognition · Computer Science 2015-10-28 Laurent Itti , Ali Borji

Visual attention has shown usefulness in image captioning, with the goal of enabling a caption model to selectively focus on regions of interest. Existing models typically rely on top-down language information and learn attention implicitly…

Computer Vision and Pattern Recognition · Computer Science 2019-04-02 Shi Chen , Qi Zhao

Spatial understanding is a fundamental problem with wide-reaching real-world applications. The representation of spatial knowledge is often modeled with spatial templates, i.e., regions of acceptability of two objects under an explicit…

Artificial Intelligence · Computer Science 2020-03-09 Guillem Collell , Luc Van Gool , Marie-Francine Moens

Over the last decade, the term spatial computing has grown to have two different, though not entirely unrelated, definitions. The first definition of spatial computing stems from industry, where it refers primarily to new kinds of…

Social and Information Networks · Computer Science 2019-10-16 Benjamin Adams

This article presents an introduction to visual attention retargeting, its connection to visual saliency, the challenges associated with it, and ideas for how it can be approached. The difficulty of attention retargeting as a saliency…

Computer Vision and Pattern Recognition · Computer Science 2022-06-06 Victor A. Mateescu , Ivan V. Bajić

Cognitive imagination is a type of imagination that plays a key role in human thinking. It is not a ``picture-in-the-head'' imagination. It is a faculty to mentally visualize coherent and holistic systems of concepts and causal links that…

Artificial Intelligence · Computer Science 2025-08-11 Evgenii E. Vityaev , Andrei Mantsivoda

Recently, Transformers have shown promising performance in various vision tasks. A challenging issue in Transformer design is that global self-attention is very expensive to compute, especially for the high-resolution vision tasks. Local…

Computer Vision and Pattern Recognition · Computer Science 2022-11-15 Zhemin Zhang , Xun Gong

Relational reasoning is a central component of generally intelligent systems, enabling robust and data-efficient inductive generalization. Recent empirical evidence shows that many existing neural architectures, including Transformers,…

Machine Learning · Computer Science 2025-06-23 Awni Altabaa , John Lafferty

In recent years, several influential computational models and metrics have been proposed to predict how humans comprehend and process sentence. One particularly promising approach is contextual semantic similarity. Inspired by the attention…

Computation and Language · Computer Science 2024-03-28 Kun Sun

Transformers have been successfully used in various fields and are becoming the standard tools in computer vision. However, self-attention, a core component of transformers, has a quadratic complexity problem, which limits the use of…

Computer Vision and Pattern Recognition · Computer Science 2022-06-02 Jiuk Hong , Chaehyeon Lee , Soyoun Bang , Heechul Jung

Physical environment understanding is vital in delivering immersive and interactive mobile augmented reality (AR) user experiences. Recently, we have witnessed a transition in the design of environment understanding systems, from visual…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-10-18 Yiqin Zhao , Ashkan Ganj , Tian Guo

Bridging the physical and digital world through interaction remains a core challenge in augmented reality (AR). Existing systems target single objects, limiting support for planning, comparison, and assembly tasks that depend on…

Human-Computer Interaction · Computer Science 2026-04-08 Xiaoan Liu , Eric J Gonzalez , Nels Numan , Andrea Colaço , Lucy Abramyan , Chen Zhu-Tian , Ryo Suzuki , Mar Gonzalez-Franco

Humans live and act in 3D space, but often work and communicate on 2D surfaces. The prevalence of online communication on 2D screens raises the issue of whether human spatial configuration affects our capabilities, social perception, and…

Human-Computer Interaction · Computer Science 2026-02-16 Yihuan Chen , Kexue Fu , Qianyi Chen , Zhicong Lu , Ray LC

Channel and spatial attentions have respectively brought significant improvements in extracting feature dependencies and spatial structure relations for various downstream vision tasks. While their combination is more beneficial for…

Computer Vision and Pattern Recognition · Computer Science 2024-11-13 Yunzhong Si , Huiying Xu , Xinzhong Zhu , Wenhao Zhang , Yao Dong , Yuxing Chen , Hongbo Li