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When humans view scenes without a specific task (free-viewing), they initially direct their eye movements toward the scene center and then fixate on people, text, objects being gazed at or grasped, and semantically meaningful regions. What…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Shravan Murlidaran , Ziqi Wen , Sana Shehabi , Miguel P. Eckstein

Space-Time in general relativity is a dynamical entity because it is subject to the Einstein field equations. The space-time metric provides different geometrical structures: conformal, volume, projective and linear connection. A deep…

General Relativity and Quantum Cosmology · Physics 2008-11-26 Ignacio Sanchez-Rodriguez

Advancements in convolutional neural networks (CNNs) have made significant strides toward achieving high performance levels on multiple object recognition tasks. While some approaches utilize information from the entire scene to propose…

Computer Vision and Pattern Recognition · Computer Science 2018-06-12 Kevin Wu , Eric Wu , Gabriel Kreiman

Establishing correspondences between two images requires both local and global spatial context. Given putative correspondences of feature points in two views, in this paper, we propose Order-Aware Network, which infers the probabilities of…

Computer Vision and Pattern Recognition · Computer Science 2019-08-15 Jiahui Zhang , Dawei Sun , Zixin Luo , Anbang Yao , Lei Zhou , Tianwei Shen , Yurong Chen , Long Quan , Hongen Liao

Visual emergence is the phenomenon in which the visual system obtains a holistic perception after grouping and reorganizing local signals. The picture Dalmatian dog is known for its use in explaining visual emergence. This type of image,…

Neurons and Cognition · Quantitative Biology 2023-07-21 Jingmeng Li , Hui Wei

We present an experimental investigation of the statistical properties of spherical granular particles on an inclined plane that are excited by an oscillating side-wall. The data is obtained by high-speed imaging and particle tracking…

Soft Condensed Matter · Physics 2009-11-07 Daniel L. Blair , A. Kudrolli

Structure information is ubiquitous in natural scene images and it plays an important role in scene representation. In this paper, third order structure statistics (TOSS) and fourth order structure statistics (FOSS) are exploited to encode…

Computer Vision and Pattern Recognition · Computer Science 2014-10-16 Wenya Zhu , Xiankai Lu , Tao Xu , Ziyi Zhao

Humans are sensitive to complexity and regularity in patterns. The subjective perception of pattern complexity is correlated to algorithmic (Kolmogorov-Chaitin) complexity as defined in computer science, but also to the frequency of…

Artificial Intelligence · Computer Science 2015-09-15 Nicolas Gauvrit , Fernando Soler-Toscano , Hector Zenil

We consider detecting objects in an image by iteratively selecting from a set of arbitrarily shaped candidate regions. Our generic approach, which we term visual chunking, reasons about the locations of multiple object instances in an image…

Computer Vision and Pattern Recognition · Computer Science 2015-03-18 Nicholas Rhinehart , Jiaji Zhou , Martial Hebert , J. Andrew Bagnell

Although first-order rate constants are basic ingredients of physical chemistry, biochemistry and systems modeling, their innermost nature is derived from complex physical chemistry mechanisms. The present study suggests that equivalent…

Data Analysis, Statistics and Probability · Physics 2013-12-20 Denis Michel

In this paper, we extended road-based topological analysis to both nationwide and urban road networks, and concentrated on a sensitivity study with respect to the formation of self-organized natural roads based on the Gestalt principle of…

Data Analysis, Statistics and Probability · Physics 2008-07-14 Bin Jiang , Sijian Zhao , Junjun Yin

Standard vision models treat objects as independent points in Euclidean space, unable to capture hierarchical structure like parts within wholes. We introduce Worldline Slot Attention, which models objects as persistent trajectories through…

Machine Learning · Computer Science 2026-03-27 Manglam Kartik , Neel Tushar Shah

Image segmentation algorithms often depend on appearance models that characterize the distribution of pixel values in different image regions. We describe a new approach for estimating appearance models directly from an image, without…

Computer Vision and Pattern Recognition · Computer Science 2021-09-16 Jeova F. S. Rocha Neto , Pedro Felzenszwalb , Marilyn Vazquez

Humans excel at detecting and segmenting moving objects according to the Gestalt principle of "common fate". Remarkably, previous works have shown that human perception generalizes this principle in a zero-shot fashion to unseen textures or…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Matthias Tangemann , Matthias Kümmerer , Matthias Bethge

Perceptual geometry refers to the interdisciplinary research whose objectives focuses on study of geometry from the perspective of visual perception, and in turn, applies such geometric findings to the ecological study of vision. Perceptual…

Neurons and Cognition · Quantitative Biology 2011-11-29 Arash Sangari , Hasti Mirkia , Amir H. Assadi

Image segmentation is a central topic in image processing and computer vision and a key issue in many applications, e.g., in medical imaging, microscopy, document analysis and remote sensing. According to the human perception, image…

Numerical Analysis · Mathematics 2022-06-24 Laura Antonelli , Valentina De Simone , Daniela di Serafino

Human physical reasoning relies on internal "body" representations - coarse, volumetric approximations that capture an object's extent and support intuitive predictions about motion and physics. While psychophysical evidence suggests humans…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 Andrey Gizdov , Andrea Procopio , Yichen Li , Daniel Harari , Tomer Ullman

Naive scale invariance is not a true property of natural images. Natural monochrome images posses a much richer geometrical structure, that is particularly well described in terms of multiscaling relations. This means that the pixels of a…

Statistical Mechanics · Physics 2009-11-07 A. Turiel , N. Parga , D. Ruderman , T. Cronin

These lecture notes concentrate on a few specific topics concerning the distribution of galaxies on scales from 0.1 to nearly 1000/h Mpc. The main aim is to provide the students with the information and tools to familiarize with a few basic…

Astrophysics · Physics 2007-05-23 L. Guzzo

We perceive the world through images formed by scattering. The ability to interpret scattering data mathematically has opened to our scrutiny the constituents of matter, the building blocks of life, and the remotest corners of the universe.…

Computational Physics · Physics 2011-09-27 Dimitrios Giannakis , Peter Schwander , Abbas Ourmazd
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