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Flow-based methods have demonstrated promising results in addressing the ill-posed nature of super-resolution (SR) by learning the distribution of high-resolution (HR) images with the normalizing flow. However, these methods can only…

Computer Vision and Pattern Recognition · Computer Science 2023-07-14 Jie-En Yao , Li-Yuan Tsao , Yi-Chen Lo , Roy Tseng , Chia-Che Chang , Chun-Yi Lee

Video continues to dominate network traffic, yet operators today have poor visibility into the number, duration, and resolutions of the video streams traversing their domain. Current approaches are inaccurate, expensive, or unscalable, as…

Networking and Internet Architecture · Computer Science 2023-01-18 Hassan Habibi Gharakheili , Minzhao Lyu , Yu Wang , Himal Kumar , Vijay Sivaraman

Detection of boundaries of materials stored in transparent vessels is essential for identifying properties such as liquid level and phase boundaries, which are vital for controlling numerous processes in the industry and chemistry…

Computer Vision and Pattern Recognition · Computer Science 2016-02-02 Sagi Eppel

Integration of thin-film oxide piezoelectrics on glass is imperative for the next generation of transparent electronics to attain sensing and actuating functions. However, their crystallization temperature (above 650 {\deg}C) is…

Ballistic heterojunctions of Dirac materials offer the opportunity of exploring optics-like phenomena in electronic systems. In this paper, a new perfect lens through special positive refraction is predicted with omnidirectional Klein…

Materials Science · Physics 2018-10-08 Y. Betancur-Ocampo

We use a hydrodynamical model to describe the evolution of the collision system at collision energies sqrt{s}=130 and 200 GeV. At lower sqrt{s}=130 GeV energy we compare the results obtained assuming fast or slow thermalization…

Nuclear Theory · Physics 2009-11-07 P. Huovinen

Relativistic heavy ion collisions have reached energies that enable the creation of a novel state of matter termed the quark-gluon plasma. Many observables point to a picture of the medium as rapidly equilibrating and expanding as a nearly…

Nuclear Theory · Physics 2011-07-19 James L. Nagle , Ian G. Bearden , William A. Zajc

The recent results on anisotropic flow in ultrarelativistic nuclear collisions along with recent methodical developments and achievements in the understanding of the phenomena, are reviewed. The emphasis is given to the elliptic flow…

Nuclear Theory · Physics 2007-05-23 S. A. Voloshin

Optical Remote Sensing Image Salient Object Detection (ORSI-SOD) remains challenging due to complex backgrounds, low contrast, irregular object shapes, and large variations in object scale. Existing discriminative methods directly regress…

Computer Vision and Pattern Recognition · Computer Science 2026-04-27 Haojing Chen , Zhihang Liu , Yutong Li , Tao Tan , Haoyu Bian , Qiuju Ma

The optical flow of natural scenes is a combination of the motion of the observer and the independent motion of objects. Existing algorithms typically focus on either recovering motion and structure under the assumption of a purely static…

Computer Vision and Pattern Recognition · Computer Science 2017-05-04 Jonas Wulff , Laura Sevilla-Lara , Michael J. Black

A current challenge in condensed matter physics is the realization of strongly correlated, viscous electron fluids. These fluids are not amenable to the perturbative methods of Fermi liquid theory, but can be described by holography, that…

Machine vision is an important sensing technology used in mobile robotic systems. Advancing the autonomy of such systems requires accurate characterisation of sensor uncertainty. Vision includes intrinsic uncertainty due to the camera…

Robotics · Computer Science 2021-01-01 Timothy Farnworth , Christopher Renton , Reuben Strydom , Adrian Wills , Tristan Perez

Graph distillation (GD) is an effective approach to extract useful information from large-scale network structures. However, existing methods, which operate in Euclidean space to generate condensed graphs, struggle to capture the inherent…

Machine Learning · Computer Science 2025-01-28 Yunbo Long , Liming Xu , Stefan Schoepf , Alexandra Brintrup

The transition from a flowing to a static state in a granular material is studied using large-scale, 3D particle simulations. Similar to glasses, this transition is manifested in the development of a plateau in the contact normal force…

Statistical Mechanics · Physics 2007-05-23 L. E. Silbert , D. Ertas , G. S. Grest , T. C. Halsey , D. Levine

The integrated HydroKinetic Model (iHKM) is applied to analyse the results of direct photon spectra as well as elliptic and triangular flow measurements in 200A GeV Au+Au collisions at RHIC for different centrality bins. Experiments detect…

Nuclear Theory · Physics 2020-06-30 V. Yu. Naboka , Yu. M. Sinyukov , G. M. Zinovjev

There is strong evidence for the formation of small droplets of quark-gluon plasma in $p/d/^{3}$He+Au collisions at the Relativistic Heavy Ion Collider (RHIC) and in $p$+$p$/Pb collisions at the Large Hadron Collider. In particular, the…

High Energy Physics - Experiment · Physics 2022-02-16 U. A. Acharya , A. Adare , C. Aidala , N. N. Ajitanand , Y. Akiba , M. Alfred , V. Andrieux , K. Aoki , N. Apadula , H. Asano , C. Ayuso , B. Azmoun , V. Babintsev , M. Bai , N. S. Bandara , B. Bannier , K. N. Barish , S. Bathe , A. Bazilevsky , M. Beaumier , S. Beckman , R. Belmont , A. Berdnikov , Y. Berdnikov , L. Bichon , B. Blankenship , D. S. Blau , M. Boer , J. S. Bok , V. Borisov , K. Boyle , M. L. Brooks , J. Bryslawskyj , V. Bumazhnov , C. Butler , S. Campbell , V. Canoa Roman , R. Cervantes , C. -H. Chen , M. Chiu , C. Y. Chi , I. J. Choi , J. B. Choi , T. Chujo , Z. Citron , M. Connors , R. Corliss , N. Cronin , T. Csörgő , M. Csanád , L. D. Liu , T. W. Danley , A. Datta , M. S. Daugherity , G. David , K. DeBlasio , K. Dehmelt , A. Denisov , A. Deshpande , E. J. Desmond , A. Dion , P. B. Diss , D. Dixit , J. H. Do , A. Drees , K. A. Drees , M. Dumancic , J. M. Durham , A. Durum , T. Elder , H. En'yo , A. Enokizono , R. Esha , S. Esumi , B. Fadem , W. Fan , N. Feege , D. E. Fields , M. Finger, , M. Finger , D. Fitzgerald , S. L. Fokin , J. E. Frantz , A. Franz , A. D. Frawley , Y. Fukuda , P. Gallus , C. Gal , P. Garg , H. Ge , M. Giles , F. Giordano , A. Glenn , Y. Goto , N. Grau , S. V. Greene , M. Grosse Perdekamp , T. Gunji , H. Guragain , T. Hachiya , J. S. Haggerty , K. I. Hahn , H. Hamagaki , H. F. Hamilton , J. Hanks , S. Y. Han , M. Harvey , S. Hasegawa , T. O. S. Haseler , K. Hashimoto , T. K. Hemmick , X. He , J. C. Hill , K. Hill , A. Hodges , R. S. Hollis , K. Homma , B. Hong , T. Hoshino , N. Hotvedt , J. Huang , K. Imai , J. Imrek , M. Inaba , A. Iordanova , D. Isenhower , Y. Ito , D. Ivanishchev , B. V. Jacak , M. Jezghani , X. Jiang , Z. Ji , B. M. Johnson , V. Jorjadze , D. Jouan , D. S. Jumper , S. Kanda , J. H. Kang , D. Kapukchyan , S. Karthas , D. Kawall , A. V. Kazantsev , J. A. Key , V. Khachatryan , A. Khanzadeev , A. Khatiwada , B. Kimelman , C. Kim , D. J. Kim , E. -J. Kim , G. W. Kim , M. Kim , M. H. Kim , D. Kincses , A. Kingan , E. Kistenev , R. Kitamura , J. Klatsky , D. Kleinjan , P. Kline , T. Koblesky , B. Komkov , D. Kotov , S. Kudo , B. Kurgyis , K. Kurita , M. Kurosawa , Y. Kwon , J. G. Lajoie , E. O. Lallow , D. Larionova , A. Lebedev , S. Lee , S. H. Lee , M. J. Leitch , Y. H. Leung , N. A. Lewis , S. H. Lim , M. X. Liu , X. Li , X. Li , V. -R. Loggins , D. A. Loomis , K. Lovasz , D. Lynch , S. Lökös , T. Majoros , Y. I. Makdisi , M. Makek , M. Malaev , A. Manion , V. I. Manko , E. Mannel , H. Masuda , M. McCumber , P. L. McGaughey , D. McGlinchey , C. McKinney , A. Meles , M. Mendoza , A. C. Mignerey , D. E. Mihalik , A. Milov , D. K. Mishra , J. T. Mitchell , M. Mitrankova , Iu. Mitrankov , G. Mitsuka , S. Miyasaka , S. Mizuno , A. K. Mohanty , M. M. Mondal , P. Montuenga , T. Moon , D. P. Morrison , S. I. Morrow , T. V. Moukhanova , B. Mulilo , T. Murakami , J. Murata , A. Mwai , K. Nagai , K. Nagashima , T. Nagashima , J. L. Nagle , M. I. Nagy , I. Nakagawa , H. Nakagomi , K. Nakano , C. Nattrass , S. Nelson , P. K. Netrakanti , T. Niida , S. Nishimura , R. Nouicer , T. Novák , N. Novitzky , R. Novotny , G. Nukazukariken , A. S. Nyanin , E. O'Brien , C. A. Ogilvie , J. D. Orjuela Koop , J. D. Osborn , A. Oskarsson , G. J. Ottino , K. Ozawa , R. Pak , V. Pantuev , V. Papavassiliou , J. S. Park , S. Park , M. Patel , S. F. Pate , J. -C. Peng , W. Peng , D. V. Perepelitsa , G. D. N. Perera , D. Yu. Peressounko , C. E. PerezLara , J. Perry , R. Petti , M. Phipps , C. Pinkenburg , R. Pinson , R. P. Pisani , M. Potekhin , A. Pun , M. L. Purschke , P. V. Radzevich , J. Rak , N. Ramasubramanian , B. J. Ramson , I. Ravinovich , K. F. Read , D. Reynolds , V. Riabov , Y. Riabov , D. Richford , D. Richford , T. Rinn , S. D. Rolnick , M. Rosati , Z. Rowan , J. G. Rubin , J. Runchey , A. S. Safonov , B. Sahlmueller , N. Saito , T. Sakaguchi , H. Sako , V. Samsonov , M. Sarsour , K. Sato , S. Sato , B. Schaefer , B. K. Schmoll , K. Sedgwick , R. Seidl , A. Sen , R. Seto , P. Sett , A. Sexton , D. Sharma , I. Shein , T. -A. Shibata , K. Shigaki , M. Shimomura , T. Shioya , P. Shukla , A. Sickles , C. L. Silva , D. Silvermyr , B. K. Singh , C. P. Singh , V. Singh , M. Slunečka , K. L. Smith , M. Snowball , R. A. Soltz , W. E. Sondheim , S. P. Sorensen , I. V. Sourikova , P. W. Stankus , M. Stepanov , S. P. Stoll , T. Sugitate , A. Sukhanov , T. Sumita , J. Sun , Z. Sun , S. Syed , J. Sziklai , A. Takeda , A. Taketani , K. Tanida , M. J. Tannenbaum , S. Tarafdar , A. Taranenko , A. Taranenko , G. Tarnai , R. Tieulent , A. Timilsina , T. Todoroki , T. Todoroki , M. Tomášek , C. L. Towell , R. Towell , R. S. Towell , I. Tserruya , Y. Ueda , B. Ujvari , H. W. van Hecke , S. Vazquez-Carson , J. Velkovska , M. Virius , V. Vrba , N. Vukman , X. R. Wang , Z. Wang , Y. Watanabe , Y. S. Watanabe , F. Wei , A. S. White , C. P. Wong , C. L. Woody , M. Wysocki , B. Xia , L. Xue , C. Xu , Q. Xu , S. Yalcin , Y. L. Yamaguchi , H. Yamamoto , A. Yanovich , P. Yin , I. Yoon , J. H. Yoo , I. E. Yushmanov , H. Yu , W. A. Zajc , A. Zelenski , S. Zharko , S. Zhou , L. Zou

Introduced by Bean and O'Reilly (2014), a stochastic fluid-fluid process is a Markov processes $\{X_t, Y_t, \varphi_t\}_{t \geq 0}$, where the first fluid $X_t$ is driven by the Markov chain $\varphi_t$, and the second fluid $Y_t$ is driven…

Probability · Mathematics 2019-01-31 Nigel Bean , Giang T. Nguyen , Malgorzata M. O'Reilly , Vikram Sunkara

We present calculations of dielectron anisotropic flow in heavy-ion collisions at HADES beam energies from a hadronic transport approach. The ongoing experimental analysis employs the traditional reaction plane method to evaluate the flow…

Nuclear Theory · Physics 2025-02-03 Renan Hirayama , Hannah Elfner

The paper presents a review of modern methods in the registration, processing, and analysis of dynamic processes in liquids, gases, plasmas, multiphase media, which are realized in researches and technology. The review author observes both…

Fluid Dynamics · Physics 2021-08-04 Irina Znamenskaya

Reconstructing high-fidelity underwater scenes remains a challenging task due to light absorption, scattering, and limited visibility inherent in aquatic environments. This paper presents an enhanced Gaussian Splatting-based framework that…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Zhuodong Jiang , Haoran Wang , Guoxi Huang , Brett Seymour , Nantheera Anantrasirichai
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