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3D object detection from monocular image(s) is a challenging and long-standing problem of computer vision. To combine information from different perspectives without troublesome 2D instance tracking, recent methods tend to aggregate…

Computer Vision and Pattern Recognition · Computer Science 2022-09-01 Jianlin Liu , Zhuofei Huang , Dihe Huang , Shang Xu , Ying Chen , Yong Liu

Dissipative solitons are remarkable localized states of a physical system that arise from the dynamical balance between nonlinearity, dispersion and environmental energy exchange. They are the most universal form of soliton that can exist…

Optics · Physics 2017-06-30 P. Ryczkowski , M. Närhi , C. Billet , J. -M. Merolla , G. Genty , J. M. Dudley

Moving object detection (MOD) in remote sensing is significantly challenged by low resolution, extremely small object sizes, and complex noise interference. Current deep learning-based MOD methods rely on probability density estimation,…

Computer Vision and Pattern Recognition · Computer Science 2025-04-15 Jinyue Zhang , Xiangrong Zhang , Zhongjian Huang , Tianyang Zhang , Yifei Jiang , Licheng Jiao

Vision Transformers (ViTs) have achieved remarkable success in computer vision tasks. However, their potential in rotation-sensitive scenarios has not been fully explored, and this limitation may be inherently attributed to the lack of…

Computer Vision and Pattern Recognition · Computer Science 2024-02-23 Hongtian Yu , Yunjie Tian , Qixiang Ye , Yunfan Liu

Levitated nanoparticles are being intensively investigated from two different perspectives: as a potential realisation of macroscopic quantum coherence; and as ultra-sensitive sensors of force, down to the zeptoNewton level, with a range of…

Quantum Physics · Physics 2022-08-22 A. Pontin , T. S. Monteiro

Perception in 3D has become standard practice for a large part of robotics applications. High quality 3D perception is costly. Our previous work on a nodding 2D Lidar provides high quality 3D depth information with low cost, but the sparse…

Computer Vision and Pattern Recognition · Computer Science 2020-01-01 Anindya Harchowdhury , Lindsay Kleeman , Leena Vachhani

Optically-levitated nanoparticles in vacuum offer a pristine platform for high-quality mechanical oscillators, enabling a wide range of precision measurements and quantum technologies. A key performance metric in such systems is the…

Optically trapped nanospheres in high-vaccum experience little friction and hence are promising for ultra-sensitive force detection. Here we demonstrate measurement times exceeding $10^5$ seconds and zeptonewton force sensitivity with…

Optics · Physics 2016-05-11 Gambhir Ranjit , Mark Cunningham , Kirsten Casey , Andrew A. Geraci

Imaging 3D nano-structures at very high resolution is crucial in a variety of scientific fields. However, due to fundamental limitations of light propagation we can only measure the object indirectly via 2D intensity measurements of the 3D…

Image and Video Processing · Electrical Eng. & Systems 2020-02-28 Zalan Fabian , Justin Haldar , Richard Leahy , Mahdi Soltanolkotabi

Electron energy loss spectroscopy is consolidating as a powerful tool to explore electronic (as well as vibrational) excitations of matter, including molecules. Performed in a scanning transmission electron microscope, this technique is…

Chemical Physics · Physics 2021-03-05 Ciro A. Guido , Enzo Rotunno , Matteo Zanfrognini , Stefano Corni , Vincenzo Grillo

We report controlled manipulation of mode splitting in an optical microresonator coupled to two nanoprobes. It is demonstrated that, by controlling the positions of the nanoprobes, the split modes can be tuned simultaneously or individually…

Optics · Physics 2010-10-29 Jiangang Zhu , Sahin Kaya Ozdemir , Lina He , Lan Yang

Optical fields polarized along three dimensions are frequent in optical microscopy and nanophotonics, and yet retrieving their polarization distribution is challenging. We present the experimental implementation of three-dimensional (3D)…

Optics · Physics 2025-11-17 Isael Herrera , Miguel A. Alonso , Sophie Brasselet

Covariance matrix estimation is an important problem in multivariate data analysis, both from theoretical as well as applied points of view. Many simple and popular covariance matrix estimators are known to be severely affected by model…

Methodology · Statistics 2025-11-21 Soumya Chakraborty , Ayanendranath Basu , Abhik Ghosh

We study the three-dimensional (3D) spatially-resolved distribution of the energy density of light in a 3D scattering medium upon the excitation of open transmission channels. The open transmission channels are excited by spatially shaping…

We present the experimental implementation of simultaneous spatial multimode demultiplexing as a distance measurement tool. We first show a simple and intuitive derivation of the Fisher information in the presence of Poissonian noise. We…

Optics · Physics 2020-08-06 Pauline Boucher , Claude Fabre , Guillaume Labroille , Nicolas Treps

We propose a method for optical nano-imaging in which the structure of a three-dimensional inhomogeneous medium may be recovered from far-field power measurements. Neither phase control of the illuminating field nor phase measurements of…

Mesoscale and Nanoscale Physics · Physics 2017-02-02 Alexander A. Govyadinov , George Y. Panasyuk , John C. Schotland

Event-based imaging is a neurmorphic detection technique whereby an array of pixels detects a positive or negative change in light intensity at each pixel, and is hence particularly well suited to detecting motion. As compared to standard…

Instrumentation and Detectors · Physics 2022-09-16 Yugang Ren , Enrique Benedetto , Harry Borrill , Yelizaveta Savchuk , Molly Message , Katie O'Flynn , Muddassar Rashid , James Millen

A method of using partial symmetries to distinguish two dimensional symmetry protected topological (SPT) phases of on-site, unitary symmetries is proposed. This novel order parameter takes a wavefunction, such as a ground state of a lattice…

Strongly Correlated Electrons · Physics 2025-07-10 Alex Turzillo , Naren Manjunath , Jose Garre-Rubio

The development of four-dimensional (4D) scanning transmission electron microscopy (STEM) using fast detectors has opened-up new avenues for addressing some of long-standing challenges in electron imaging. One of these challenges is how to…

Materials Science · Physics 2021-01-19 Yu-Tsun Shao , Renliang Yuan , Haw-Wen Hsiao , Qun Yang , Yang Hu , Jian-Min Zuo

We demonstrate and characterize the transfer of a levitating silica nanosphere between two optical tweezers, at low pressure. Both optical traps are mounted on the heads of optical fibers and placed on translation stages in vacuum chambers.…

Optics · Physics 2021-03-25 Massimo Calamai , Andrea Ranfagni , Francesco Marin
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