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In this work we propose a one-class self-supervised method for anomaly segmentation in images that benefits both from a modern machine learning approach and a more classic statistical detection theory. The method consists of four phases.…

Computer Vision and Pattern Recognition · Computer Science 2024-06-04 Matías Tailanian , Álvaro Pardo , Pablo Musé

This paper explores the use of a Bayesian non-parametric topic modeling technique for the purpose of anomaly detection in video data. We present results from two experiments. The first experiment shows that the proposed technique is…

Computer Vision and Pattern Recognition · Computer Science 2016-02-17 Yogesh Girdhar , Walter Cho , Matthew Campbell , Jesus Pineda , Elizabeth Clarke , Hanumant Singh

We leverage recent breakthroughs in neural density estimation to propose a new unsupervised anomaly detection technique (ANODE). By estimating the probability density of the data in a signal region and in sidebands, and interpolating the…

High Energy Physics - Phenomenology · Physics 2020-05-12 Benjamin Nachman , David Shih

The photo-excited state associated with superconducting fluctuation above the superconducting critical temperature $T_c$ is studied based on the time-dependent Ginzburg-Laundau approach. The excited state is created by an electric-field…

Superconductivity · Physics 2019-09-25 Ryuta Iwazaki , Naoto Tsuji , Shintaro Hoshino

Optical interference is not only a fundamental phenomenon that has enabled new theories of light to be derived but it has also been used in interferometry for the measurement of small displacements, refractive index changes and surface…

Optics · Physics 2021-10-28 Chen Yang , Zhi-Yuan Zhou , Yan Li , Shi-Kai Liu , Zheng Ge , Guang-Can Guo , Bao-Sen Shi

Recent efforts towards video anomaly detection (VAD) try to learn a deep autoencoder to describe normal event patterns with small reconstruction errors. The video inputs with large reconstruction errors are regarded as anomalies at the test…

Computer Vision and Pattern Recognition · Computer Science 2021-09-03 Yuandu Lai , Yahong Han , Yaowei Wang

Timely detection of concerning events is an important problem in clinical practice. In this paper, we consider the problem of conditional anomaly detection that aims to identify data instances with an unusual response, such as the omission…

Machine Learning · Computer Science 2026-04-27 Michal Valko , Hamed Valizadegan , Branislav Kveton , Gregory F. Cooper , Milos Hauskrecht

The second-order photon correlation function is of great importance in quantum optics which is typically measured with the Hanbury Brown and Twiss interferometer which employs a pair of single-photon detectors and a dual-channel time…

Quantum Physics · Physics 2021-02-02 Shaojie Liu , Xing Lin , Feng Liu , Hairui Lei , Wei Fang , Chaoyuan Jin

Three different noise moments of field strength, intensity, and their correlations are simultaneously measured. For this purpose a homodyne cross-correlation measurement [W. Vogel, Phys. Rev. A 51, 4160 (1995)] is implemented by…

Quantum Physics · Physics 2017-04-26 B. Kühn , W. Vogel , M. Mraz , S. Köhnke , B. Hage

Anomaly detection consists in identifying, within a dataset, those samples that significantly differ from the majority of the data, representing the normal class. It has many practical applications, e.g. ranging from defective product…

Computer Vision and Pattern Recognition · Computer Science 2020-11-13 Pankaj Mishra , Claudio Piciarelli , Gian Luca Foresti

Nonclassical light sources, such as correlated photon-pairs, play an important role in quantum optics and quantum information processing systems. This study proposes a process to generate antibunched photon-pairs in a nondegenerate optical…

Quantum Physics · Physics 2021-06-02 Yi Ren , Shouhui Duan , Wenzhi Xie , Yongkang Shao , Zhenglu Duan

Existing unsupervised distillation-based methods rely on the differences between encoded and decoded features to locate abnormal regions in test images. However, the decoder trained only on normal samples still reconstructs abnormal patch…

Computer Vision and Pattern Recognition · Computer Science 2025-01-03 Xiaolei Wang , Xiaoyang Wang , Huihui Bai , Eng Gee Lim , Jimin Xiao

We report the continuous and partially nondestructive measurement of optical photons. For a weak light pulse traveling through a slow-light optical medium (signal), the associated atomic-excitation component is detected by another light…

Quantum Physics · Physics 2016-01-27 Mahdi Hosseini , Kristin M. Beck , Yiheng Duan , Wenlan Chen , Vladan Vuletić

Spontaneous parametric down conversion (SPDC) has been largely exploited as a tool for absolute calibration of photon-counting detectors, i.e detectors registering very small photon fluxes. In [J. Opt. Soc. Am. B 23, 2185 (2006)] we derived…

Quantum Physics · Physics 2009-11-13 Giorgio Brida , Maria Chekhova , Marco Genovese , Ivano Ruo-Berchera

Driven by single photon detection requirements especially for quantum information sciences, the theory of arrays of off-on detectors has been well developed and applied. However for a comprehensive characterization of nonclassicality one…

Quantum Physics · Physics 2015-02-16 J. Sperling , W. Vogel , G. S. Agarwal

Using ultrashort laser pulses, it has become possible to probe the dynamics of long-range order in solids on microscopic timescales. In the conventional description of symmetry-broken phases within time-dependent Ginzburg-Landau theory, the…

Strongly Correlated Electrons · Physics 2023-06-08 Antonio Picano , Francesco Grandi , Martin Eckstein

We present an indirect imaging method that measures both amplitude and phase information from a transmissive target. Our method is based on an optical eigenmode decomposition of the light intensity and the first-order cross correlation…

In this paper, we consider the magnetic anomaly detection problem which aims to find hidden ferromagnetic masses by estimating the weak perturbation they induce on local Earth's magnetic field. We consider classical detection schemes that…

Signal Processing · Electrical Eng. & Systems 2025-11-10 Clément Chenevas-Paule , Steeve Zozor , Laure-Line Rouve , Olivier J. J. Michel , Olivier Pinaud , Romain Kukla

Ultrafast optical control of quantum systems is an emerging field of physics. In particular, the possibility of light-driven superconductivity with ultrashort laser pulses has attracted much of attention. To identify non-equilibrium…

We introduce a technique to determine photon correlations of optical light fields in real time. The method is based on ultrafast phase-randomized homodyne detection and allows us to follow the temporal evolution of the second-order…

Instrumentation and Detectors · Physics 2018-10-12 Carolin Lüders , Johannes Thewes , Marc Aßmann
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