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The crux of resolving fine-grained visual classification (FGVC) lies in capturing discriminative and class-specific cues that correspond to subtle visual characteristics. Recently, frequency decomposition/transform based approaches have…

Computer Vision and Pattern Recognition · Computer Science 2025-11-14 Qin Xu , Lili Zhu , Xiaoxia Cheng , Bo Jiang

Primate visual system samples different parts of the world unevenly. The part of the visual scene corresponding to the eye center is represented densely, while away from the center the sampling becomes progressively sparser. Such…

Neurons and Cognition · Quantitative Biology 2010-02-24 Alexei A. Koulakov

In the realm of deep learning, spatial attention mechanisms have emerged as a vital method for enhancing the performance of convolutional neural networks. However, these mechanisms possess inherent limitations that cannot be overlooked.…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Xin Zhang , Chen Liu , Degang Yang , Tingting Song , Yichen Ye , Ke Li , Yingze Song

Spatio-temporal models analyze spatial structures and temporal dynamics, which makes them prone to information degeneration among space and time. Prior literature has demonstrated that over-squashing in causal attention or temporal…

Machine Learning · Computer Science 2026-03-09 Victoria Hankemeier , Malte Schilling

Immersive audio-visual perception relies on the spatial integration of both auditory and visual information which are heterogeneous sensing modalities with different fields of reception and spatial resolution. This study investigates the…

Audio and Speech Processing · Electrical Eng. & Systems 2020-03-17 Davide Berghi , Hanne Stenzel , Marco Volino , Adrian Hilton , Philip J. B. Jackson

Compared with the image-based static facial expression recognition (SFER) task, the dynamic facial expression recognition (DFER) task based on video sequences is closer to the natural expression recognition scene. However, DFER is often…

Computer Vision and Pattern Recognition · Computer Science 2022-08-23 Hanting Li , Hongjing Niu , Zhaoqing Zhu , Feng Zhao

Neural oscillations are related to a wide variety of cognitive functions, including attention. However, there is still a controversy over the frequency bands that have functional roles in attention. In this study, using a spatial attention…

Neurons and Cognition · Quantitative Biology 2014-11-11 Kourosh Maboudi , Moein Esghaei , Mohammad Reza Daliri

The sequential analysis of information in a coarse-to-fine manner is a fundamental mode of processing in the visual pathway. Spatial frequency (SF) tuning, arguably the most fundamental feature of spatial vision, provides particular…

Neurons and Cognition · Quantitative Biology 2020-06-17 Jasmine A. Nirody

We study theoretically confinement related effects in the optical response of thin plasmonic films of controlled variable thickness. While being constant for relatively thick films, the plasma frequency is shown to acquire spatial…

Mesoscale and Nanoscale Physics · Physics 2017-09-28 Igor V. Bondarev , Vladimir M. Shalaev

Conventional images/videos are often rendered within the central vision area of the human visual system (HVS) with uniform quality. Recent virtual reality (VR) device with head mounted display (HMD) extends the field of view (FoV)…

Multimedia · Computer Science 2018-02-27 Peiyao Guo , Qiu Shen , Zhan Ma , David J. Brady , Yao Wang

Accurate representation of the multiscale features in spatiotemporal physical systems using vision transformer (ViT) architectures requires extremely long, computationally prohibitive token sequences. To address this issue, we propose two…

Machine Learning · Computer Science 2024-12-31 Pei Zhang , M. Paul Laiu , Matthew Norman , Doug Stefanski , John Gounley

The aim of this work is to establish how accurately a recent semantic-based foveal active perception model is able to complete visual tasks that are regularly performed by humans, namely, scene exploration and visual search. This model…

Computer Vision and Pattern Recognition · Computer Science 2024-04-18 João Luzio , Alexandre Bernardino , Plinio Moreno

Preference learning methods, such as Reinforcement Learning from Human Feedback (RLHF) and Direct Preference Optimization (DPO), rely on pairwise human judgments, yet little is known about the cognitive processes underlying these judgments.…

Human-Computer Interaction · Computer Science 2026-03-27 Nikolas Papadopoulos , Shreenithi Navaneethan , Sheng Bai , Ankur Samanta , Paul Sajda

We discuss how small-scale density perturbations on the Fresnel scale affect amplitudes and phases of gravitational waves that are magnified by gravitational lensing in geometric optics. We derive equations that connect the small-scale…

Cosmology and Nongalactic Astrophysics · Physics 2022-09-07 Masamune Oguri , Ryuichi Takahashi

Covert speech, the silent production of words in the mind, has been studied increasingly to understand and decode thoughts. This task has often been compared to speech perception as it brings about similar topographical activation patterns…

Neurons and Cognition · Quantitative Biology 2020-09-08 Jae Moon , Silvia Orlandi , Tom Chau

Visual search is an important strategy of the human visual system for fast scene perception. The guided search theory suggests that the global layout or other top-down sources of scenes play a crucial role in guiding object searching. In…

Computer Vision and Pattern Recognition · Computer Science 2019-12-23 Kai-Fu Yang , Wen-Wen Jiang , Teng-Fei Zhan , Yong-Jie Li

Recognition of objects from partial information presents a significant challenge for theories of vision because it requires spatial integration and extrapolation from prior knowledge. We combined neurophysiological recordings in human…

Neurons and Cognition · Quantitative Biology 2014-09-11 Hanlin Tang , Calin Buia , Joseph Madsen , William S. Anderson , Gabriel Kreiman

As an alternative to conventional multi-pixel cameras, single-pixel cameras enable images to be recorded using a single detector that measures the correlations between the scene and a set of patterns. However, to fully sample a scene in…

Computer Vision and Pattern Recognition · Computer Science 2016-07-29 David B. Phillips , Ming-Jie Sun , Jonathan M. Taylor , Matthew P. Edgar , Stephen M. Barnett , Graham G. Gibson , Miles J. Padgett

Foveated rendering methods usually reduce spatial resolution in the periphery of the users' view. However, using foveated rendering to reduce temporal resolution, i.e., rendering frame rate, seems less explored. In this work, we present the…

Human-Computer Interaction · Computer Science 2025-05-07 Christopher Flöter , Sergej Geringer , Guido Reina , Daniel Weiskopf , Timo Ropinski

Neural activity exhibits a vast range of timescales that can be several fold larger than the membrane time constant of individual neurons. Two types of mechanisms have been proposed to explain this conundrum. One possibility is that large…

Neurons and Cognition · Quantitative Biology 2019-03-26 Manuel Beiran , Srdjan Ostojic