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Monitoring vehicle flows in cities is crucial to improve the urban environment and quality of life of citizens. Images are the best sensing modality to perceive and assess the flow of vehicles in large areas. Current technologies for…

Computer Vision and Pattern Recognition · Computer Science 2020-09-15 Luca Ciampi , Carlos Santiago , Joao Paulo Costeira , Claudio Gennaro , Giuseppe Amato

The infrared (IR) photoresponse of graphene synthesized by an atmospheric chemical vapor deposition (CVD) system using a mixture of hydrogen and methane gases was studied. The IR sensor devices were fabricated using graphene films…

Applied Physics · Physics 2023-01-23 Ahalapitiya H. Jayatissa , Madhav Gautam

The appearance of objects in underwater images is degraded by the selective attenuation of light, which reduces contrast and causes a colour cast. This degradation depends on the water environment, and increases with depth and with the…

Computer Vision and Pattern Recognition · Computer Science 2022-07-13 Chau Yi Li , Andrea Cavallaro

Detection of moving objects in videos is a crucial step towards successful surveillance and monitoring applications. A key component for such tasks is called background subtraction and tries to extract regions of interest from the image…

Computer Vision and Pattern Recognition · Computer Science 2017-10-30 Konstantinos Makantasis , Antonis Nikitakis , Anastasios Doulamis , Nikolaos Doulamis , Yannis Papaefstathiou

We propose a method for depth estimation under different illumination conditions, i.e., day and night time. As photometry is uninformative in regions under low-illumination, we tackle the problem through a multi-sensor fusion approach,…

Computer Vision and Pattern Recognition · Computer Science 2024-05-28 Vadim Ezhov , Hyoungseob Park , Zhaoyang Zhang , Rishi Upadhyay , Howard Zhang , Chethan Chinder Chandrappa , Achuta Kadambi , Yunhao Ba , Julie Dorsey , Alex Wong

The widespread use of AI-generated content from diffusion models has raised significant concerns regarding misinformation and copyright infringement. Watermarking is a crucial technique for identifying these AI-generated images and…

Machine Learning · Computer Science 2026-02-13 Wenda Li , Huijie Zhang , Qing Qu

We present a wide-field homodyne imaging system capable of recovering intensity and phase images of an object from a single camera frame at an illumination intensity significantly below the noise floor of the camera. By interfering a weak…

Dynamic thin film interferometry is a technique used to non-invasively characterize the thickness of thin liquid films. Recovering the underlying thickness from the captured interferograms, unconditionally and automatically is still an open…

This paper introduces depth estimation from water drops. The key idea is that a single water drop adhered to window glass is totally transparent and convex, and thus optically acts like a fisheye lens. If we have more than one water drop in…

Computer Vision and Pattern Recognition · Computer Science 2016-04-05 Shaodi You , Robby T. Tan , Rei Kawakami , Yasuhiro Mukaigawa , Katsushi Ikeuchi

A multispeckle technique for efficiently measuring correctly ensemble-averaged intensity autocorrelation functions of scattered light from non-ergodic and/or non-stationary systems is described. The method employs a CCD camera as a…

Soft Condensed Matter · Physics 2009-11-07 Virgile. Viasnoff , Francois Lequeux , D. J. Pine

Saliency prediction models are constrained by the limited diversity and quantity of labeled data. Standard data augmentation techniques such as rotating and cropping alter scene composition, affecting saliency. We propose a novel data…

Computer Vision and Pattern Recognition · Computer Science 2024-09-12 Bahar Aydemir , Deblina Bhattacharjee , Tong Zhang , Mathieu Salzmann , Sabine Süsstrunk

Shift-and-add is an approach employed to mitigate the phenomenon of resolution degradation in images acquired through a turbulent medium. Using this technique, a large number of consecutive short exposures is registered below the coherence…

Instrumentation and Methods for Astrophysics · Physics 2015-05-15 A. Popowicz , A. R. Kurek , A. Pollo , B. Smolka

Thin film interferometry is a powerful technique for non-invasively measuring liquid film thickness with applications in ophthalmology, but its clinical translation is hindered by the challenges in reconstructing thickness profiles from…

Computer Vision and Pattern Recognition · Computer Science 2025-10-30 Gautam A. Viruthagiri , Arnuv Tandon , Gerald G. Fuller , Vinny Chandran Suja

Fluorescence Lifetime Imaging Microscopy in the time domain is typically performed by recording the arrival time of photons either by using electronic time tagging or a gated detector. As such the temporal resolution is limited by the…

Existing methods for enhancing dark images captured in a very low-light environment assume that the intensity level of the optimal output image is known and already included in the training set. However, this assumption often does not hold,…

Image and Video Processing · Electrical Eng. & Systems 2023-04-05 Evgeny Hershkovitch Neiterman , Michael Klyuchka , Gil Ben-Artzi

We show that the momentum flexibility of inelastic x-ray scattering may be exploited to invert its loss function, alowing real time imaging of density disturbances in a medium. We show the disturbance arising from a point source in liquid…

Condensed Matter · Physics 2009-11-10 P. Abbamonte , K. D. Finkelstein , M. D. Collins , S. M. Gruner

Low-light environments pose significant challenges for image enhancement methods. To address these challenges, in this work, we introduce the HUE dataset, a comprehensive collection of high-resolution event and frame sequences captured in…

Computer Vision and Pattern Recognition · Computer Science 2024-10-28 Burak Ercan , Onur Eker , Aykut Erdem , Erkut Erdem

We present a new imaging technique, swept-angle synthetic wavelength interferometry, for full-field micron-scale 3D sensing. As in conventional synthetic wavelength interferometry, our technique uses light consisting of two…

Computer Vision and Pattern Recognition · Computer Science 2023-03-31 Alankar Kotwal , Anat Levin , Ioannis Gkioulekas

Underwater video pairs are fairly difficult to obtain due to the complex underwater imaging. In this case, most existing video underwater enhancement methods are performed by directly applying the single-image enhancement model frame by…

Computer Vision and Pattern Recognition · Computer Science 2025-12-08 Qi Zhu , Jingyi Zhang , Naishan Zheng , Wei Yu , Jinghao Zhang , Deyi Ji , Feng Zhao

Image reconstruction from computed tomography (CT) measurement is a challenging statistical inverse problem since a high-dimensional conditional distribution needs to be estimated. Based on training data obtained from high-quality…

Image and Video Processing · Electrical Eng. & Systems 2020-06-12 Alexander Denker , Maximilian Schmidt , Johannes Leuschner , Peter Maass , Jens Behrmann