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A binocular system developed by the author in terms of projective Fourier transform (PFT) of the conformal camera, which numerically integrates the head, eyes, and visual cortex, is used to process visual information during saccadic eye…

Computer Vision and Pattern Recognition · Computer Science 2009-08-29 Jacek Turski

In this paper, we present a CNN-based fully unsupervised method for motion segmentation from optical flow. We assume that the input optical flow can be represented as a piecewise set of parametric motion models, typically, affine or…

Computer Vision and Pattern Recognition · Computer Science 2022-10-07 Etienne Meunier , Anaïs Badoual , Patrick Bouthemy

Eye tracking has been found to be useful in various tasks including diagnostic and screening tools. However, traditional eye trackers had a complicated setup and operated at a higher frequency to measure eye movements. The use of more…

Human-Computer Interaction · Computer Science 2025-03-13 Teran Bukenberger , Brent Davis

In an experiment involving semantic search, the visual movements of sample populations subjected to visual and aural input were tracked in a taskless paradigm. The probability distributions of saccades and fixations were obtained and…

Statistical Mechanics · Physics 2015-05-27 D. P. Shinde , Anita Mehta , R. K. Mishra

The visual focus of attention (VFOA) has been recognized as a prominent conversational cue. We are interested in estimating and tracking the VFOAs associated with multi-party social interactions. We note that in this type of situations the…

Computer Vision and Pattern Recognition · Computer Science 2018-12-21 Benoît Massé , Silèye Ba , Radu Horaud

Visual categorization and learning of visual categories exhibit early onset, however the underlying mechanisms of early categorization are not well understood. The main limiting factor for examining these mechanisms is the limited duration…

Quantitative Methods · Quantitative Biology 2020-11-30 Samuel Rivera , Catherine A. Best , Hyungwook Yim , Dirk B. Walther , Vladimir M. Sloutsky , Aleix M. Martinez

Pre-trained conditional diffusion models have demonstrated remarkable potential in image editing. However, they often face challenges with temporal consistency, particularly in the talking head domain, where continuous changes in facial…

Computer Vision and Pattern Recognition · Computer Science 2025-03-31 Haijie Yang , Zhenyu Zhang , Hao Tang , Jianjun Qian , Jian Yang

We study the problem of segmenting moving objects in unconstrained videos. Given a video, the task is to segment all the objects that exhibit independent motion in at least one frame. We formulate this as a learning problem and design our…

Computer Vision and Pattern Recognition · Computer Science 2017-12-05 Pavel Tokmakov , Cordelia Schmid , Karteek Alahari

We present a new dataset with annotated eye movements. The dataset consists of over 800,000 gaze points recorded during a car ride in the real world and in the simulator. In total, the eye movements of 19 subjects were annotated. In this…

Computer Vision and Pattern Recognition · Computer Science 2021-01-13 Wolfgang Fuhl , Enkelejda Kasneci

Understanding how people allocate visual attention is central to Human-Computer Interaction (HCI), yet existing computational models of attention are often either descriptive, task-specific, or difficult to interpret. My dissertation…

Human-Computer Interaction · Computer Science 2026-03-03 Yunpeng Bai

The ultimate goal of video generation is to satisfy a fundamental trilemma: achieving high visual quality, maintaining rigorous physical consistency, and enabling precise controllability. While recent models can maintain this balance in…

Computer Vision and Pattern Recognition · Computer Science 2026-03-12 Tianshuo Xu , Zhifei Chen , Leyi Wu , Hao Lu , Ying-cong Chen

We consider a tracer particle performing a random walk on a two-dimensional lattice in the presence of immobile hard obstacles. Starting from equilibrium, a constant force pulling on the particle is switched on, driving the system to a new…

Statistical Mechanics · Physics 2024-09-05 Dan Shafir , Alessio Squarcini , Stanislav Burov , Thomas Franosch

Always-on egocentric cameras are increasingly used as demonstrations for embodied robotics, imitation learning, and assistive AR, but the resulting video streams are dominated by redundant and low-quality frames. Under the storage and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-05 Ajan Subramanian , Sumukh Bettadapura , Rohan Sathish

Compact objects evolving in an astrophysical environment experience a gravitational drag force known as dynamical friction. We present a multipole-frequency decomposition to evaluate the orbit-averaged energy and angular momentum…

Astrophysics of Galaxies · Physics 2025-09-22 Gali Eytan , Vincent Desjacques , Yonadav Barry Ginat

The objects we perceive guide our eye movements when observing real-world dynamic scenes. Yet, gaze shifts and selective attention are critical for perceiving details and refining object boundaries. Object segmentation and gaze behavior…

Computer Vision and Pattern Recognition · Computer Science 2025-02-12 Vito Mengers , Nicolas Roth , Oliver Brock , Klaus Obermayer , Martin Rolfs

In real-world scene perception human observers generate sequences of fixations to move image patches into the high-acuity center of the visual field. Models of visual attention developed over the last 25 years aim to predict two-dimensional…

Neurons and Cognition · Quantitative Biology 2022-08-15 Lisa Schwetlick , Daniel Backhaus , Ralf Engbert

A discrete binomial random-walk description of molecular collisions is used to quantify the variance of coarse-grained velocity fields arising solely from collision-induced momentum exchange. Closed-form expressions for the growth of…

Chemical Physics · Physics 2026-02-26 Tristan Barkman

In a coherent monoenergetic beam of non-interacting particles, the phase velocity and the particle transport velocity are functions of position, with the strongest variation being in the focal region. These velocities are everywhere…

Optics · Physics 2009-11-10 John Lekner

Models of eye-movement control during reading, developed largely within psychology, usually focus on visual, attentional, lexical, and motor processes but neglect post-lexical language processing; by contrast, models of sentence…

Neurons and Cognition · Quantitative Biology 2023-12-21 Maximilian M. Rabe , Dario Paape , Daniela Mertzen , Shravan Vasishth , Ralf Engbert

Humans acquire semantic object representations from egocentric visual streams with minimal supervision, but the underlying mechanisms remain unclear. Importantly, the visual system only processes the center of its field of view with high…

Computer Vision and Pattern Recognition · Computer Science 2026-03-25 Timothy Schaumlöffel , Arthur Aubret , Gemma Roig , Jochen Triesch
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