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Van der Waals heterostructures (vdWHs) allow the assembly of high-crystalline two-dimensional (2D) materials in order to explore dimensionality effects in strongly correlated systems and the emergence of potential new physical scenarios. In…

Strongly Correlated Electrons · Physics 2021-07-13 Carla Boix-Constant , Samuel Mañas-Valero , Rosa Córdoba , Eugenio Coronado

Analyzing a visual scene by inferring the configuration of a generative model is widely considered the most flexible and generalizable approach to scene understanding. Yet, one major problem is the computational challenge of the inference…

Computer Vision and Pattern Recognition · Computer Science 2024-06-28 Alpha Renner , Lazar Supic , Andreea Danielescu , Giacomo Indiveri , Bruno A. Olshausen , Yulia Sandamirskaya , Friedrich T. Sommer , E. Paxon Frady

Deep neural networks have been successfully applied to solving the video-based person re-identification problem with impressive results reported. The existing networks for person re-id are designed to extract discriminative features that…

Computer Vision and Pattern Recognition · Computer Science 2020-03-24 Yang Feng , Yu Wang , Jiebo Luo

Deep convolutional neural networks (CNNs) have demonstrated impressive performance on visual object classification tasks. In addition, it is a useful model for predication of neuronal responses recorded in visual system. However, there is…

Machine Learning · Statistics 2017-11-15 Qi Yan , Zhaofei Yu , Feng Chen , Jian K. Liu

The ability to perform broadband optical spectroscopy with sub-diffraction-limit resolution is highly sought-after for a wide range of critical applications. However, sophisticated tip-enhanced techniques are currently required to achieve…

Transformers have revolutionized computer vision and natural language processing, but their high computational complexity limits their application in high-resolution image processing and long-context analysis. This paper introduces…

Computer Vision and Pattern Recognition · Computer Science 2025-04-01 Yuchen Duan , Weiyun Wang , Zhe Chen , Xizhou Zhu , Lewei Lu , Tong Lu , Yu Qiao , Hongsheng Li , Jifeng Dai , Wenhai Wang

The increasing demand for efficient hardware in neural computation highlights the limitations of electronic-based systems in terms of speed, energy efficiency, and scalability. Wavelength-division multiplexing (WDM) photonic neural networks…

Optics · Physics 2025-02-18 Jorge Parra , Juan Navarro-Arenas , Pablo Sanchis

Two-dimensional (2D) materials such as graphene and hexagonal boron nitride (hBN) provide a versatile platform for quantum electronics. Experiments generally require encapsulating graphene within hBN flakes, forming a protective van der…

Van der Waals (vdW) heterostructures have opened new opportunities to develop atomically thin (opto)electronic devices with a wide range of functionalities. The recent focus on manipulating the interlayer twist angle has led to the…

Van der Waals (vdW) solids, as a new type of artificial materials that consist of alternating layers bonded by weak interactions, have shed light on fascinating optoelectronic device concepts. As a result, a large variety of vdW devices…

Human cognition integrates information across nested timescales. While the cortex exhibits hierarchical Temporal Receptive Windows (TRWs), local circuits often display heterogeneous time constants. To reconcile this, we trained biologically…

Neurons and Cognition · Quantitative Biology 2026-01-07 Aakash Sarkar , Marc W. Howard

Vital to primary visual processing, retinal circuitry shows many similar structures across a very broad array of species, both vertebrate and non-vertebrate, especially functional components such as lateral inhibition. This surprisingly…

Neural and Evolutionary Computing · Computer Science 2021-02-23 Ziyi Gong , Paul Munro

Van de Waals heterostructures (VDWH) is an emerging strategy to engineer the electronic properties of two-dimensional (2D) material systems. Motivated by the recent discovery of MoSi$_2$N$_4$ - a synthetic septuple-layered 2D semiconductor…

Materials Science · Physics 2022-03-23 Jin Quan Ng , Qingyun Wu , L. K. Ang , Yee Sin Ang

Quantum microscopes based on solid-state spin quantum sensors have recently emerged as powerful tools for probing material properties and physical processes in regimes not accessible to classical sensors, especially on the nanoscale. Such…

Two-dimensional (2D) van der Waals (vdW) multiferroics offer an attractive platform for four-state nonvolatile memory by combining switchable ferroelectric polarization and magnetization within a single material system. However, their…

Materials Science · Physics 2026-05-15 Zhibin Tan , Tao Wang , Hao Jin

Vision Transformers (ViTs) achieve state-of-the-art performance on challenging vision tasks, but their deployment on edge devices is severely hindered by the computational complexity and global reduction bottleneck imposed by layer…

Computer Vision and Pattern Recognition · Computer Science 2026-05-15 Kieran Carrigg , Sigur de Vries , Amirhossein Sadough , Marcel van Gerven

Twisted vdW quantum materials have emerged as a rapidly developing field of 2D semiconductors. These materials establish a new central research area and provide a promising platform for studying quantum phenomena and investigating the…

Dielectric structures can support low-absorption optical modes, which are attractive for engineering light-matter interactions with excitonic resonances in two-dimensional (2D) materials. However, the coupling strength is often limited by…

Van der Waals (vdW) materials have garnered growing interest for use as nanophotonic building blocks that offer precise control over light-matter interaction at the nanoscale, such as optical metasurfaces hosting sharp quasi-bound states in…

We present a novel bio-inspired and dynamic coding scheme for static images. Our coder aims at reproducing the main steps of the visual stimulus processing in the mammalian retina taking into account its time behavior. The main novelty of…

Computer Vision and Pattern Recognition · Computer Science 2011-12-23 Khaled Masmoudi , Marc Antonini , Pierre Kornprobst
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