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With the rapid development of Large Language Models (LLMs), a large number of benchmarks have been proposed. However, most benchmarks lack unified evaluation standard and require the manual implementation of custom scripts, making results…

We present a novel method for accurate and efficient up- sampling of sparse depth data, guided by high-resolution imagery. Our approach goes beyond the use of intensity cues only and additionally exploits object boundary cues through…

Computer Vision and Pattern Recognition · Computer Science 2016-08-03 Nick Schneider , Lukas Schneider , Peter Pinggera , Uwe Franke , Marc Pollefeys , Christoph Stiller

In this letter, we address the problem of exploration and metric-semantic mapping of multi-floor GPS-denied indoor environments using Size Weight and Power (SWaP) constrained aerial robots. Most previous work in exploration assumes that…

Robotics · Computer Science 2025-07-22 Yuezhan Tao , Xu Liu , Igor Spasojevic , Saurav Agarwal , Vijay Kumar

Weak lensing studies typically require excellent seeing conditions for the purpose of maximizing the number density of well-resolved galaxy images. It is interesting to ask to what extent the seeing size limits the usefulness of the…

Cosmology and Nongalactic Astrophysics · Physics 2022-09-14 Jun Zhang , Cong Liu , Pedro Alonso Vaquero , Hekun Li , Haoran Wang , Zhi Shen , Fuyu Dong

Accurate approximation of a real-valued function depends on two aspects of the available data: the density of inputs within the domain of interest and the variation of the outputs over that domain. There are few methods for assessing…

Numerical Analysis · Mathematics 2024-11-11 Andrew Gillette , Eugene Kur

We present the methodology for the weak lensing and galaxy clustering analyses of the Dark Energy Survey (DES) Year 6 data set. In this work, we design and validate the analysis pipeline for the cosmic shear, galaxy clustering plus…

Cosmology and Nongalactic Astrophysics · Physics 2026-01-22 D. Sanchez-Cid , A. Ferté , J. Blazek , S. Samuroff , A. Amon , F. Andrade-Oliveira , J. M. Coloma-Nadal , J. Muir , A. Porredon , J. Prat , N. Weaverdyck , M. Yamamoto , D. Anbajagane , M. R. Becker , P. Carrilho , C. Chang , M. Crocce , G. Giannini , W. d'Assignies , J. DeRose , S. Dodelson , E. Krause , E. Legnani , J. Mena-Fernández , N. MacCrann , A. Pourtsidou , C. Preston , P. Rogozenski , M. Rodriguez-Monroy , R. Rosenfeld , E. Sanchez , I. Sevilla-Noarbe , M. Soares-Santos , C. To , M. A. Troxel , M. Tsedrik , B. Yin , J. Zuntz , T. M. C. Abbott , M. Aguena , S. Allam , O. Alves , S. Avila , D. Bacon , K. Bechtol , E. Bertin , S. Bocquet , D. Brooks , H. Camacho , R. Camilleri , A. Campos , A. Carnero Rosell , J. Carretero , F. J. Castander , R. Cawthon , A. Choi , L. N. da Costa , M. E. da Silva Pereira , T. M. Davis , J. De Vicente , S. Desai , C. Doux , A. Drlica-Wagner , T. Eifler , J. Elvin-Poole , S. Everett , A. E. Evrard , B. Flaugher , P. Fosalba , J. Frieman , J. García-Bellido , M. Gatti , E. Gaztanaga , P. Giles , K. Glazebrook , D. Gruen , G. Gutierrez , I. Harrison , K. Herner , S. R. Hinton , D. L. Hollowood , K. Honscheid , D. Huterer , B. Jain , D. J. James , N. Jeffrey , T. Kacprzak , K. Kuehn , O. Lahav , S. Lee , J. L. Marshall , F. Menanteau , R. Miquel , J. J. Mohr , J. Myles , R. C. Nichol , R. L. C. Ogando , A. Palmese , M. Paterno , W. J. Percival , A. A. Plazas Malagón , M. Raveri , A. Roodman , C. Sánchez , T. Schutt , E. Sheldon , N. Sherman , T. Shin , M. Smith , E. Suchyta , M. E. C. Swanson , M. Tabbutt , G. Tarle , D. Thomas , D. L. Tucker , V. Vikram , A. R. Walker , B. Yanny

Cosmological studies have now entered Stage IV according to the Dark Energy Task Force prescription, thanks to new missions (Euclid, Rubin Observatory, SRG/eROSITA) that are expected to provide the required ultimate accuracy in the dark…

Cosmology and Nongalactic Astrophysics · Physics 2023-12-08 Nicolas Cerardi , Marguerite Pierre , Patrick Valageas , Christian Garrel , Florian Pacaud

While monocular depth estimation (MDE) is an important problem in computer vision, it is difficult due to the ambiguity that results from the compression of a 3D scene into only 2 dimensions. It is common practice in the field to treat it…

Computer Vision and Pattern Recognition · Computer Science 2022-12-01 Dylan Auty , Krystian Mikolajczyk

Upcoming galaxy surveys will allow us to probe the growth of the cosmic large-scale structure with improved sensitivity compared to current missions, and will also map larger areas of the sky. This means that in addition to the increased…

Cosmology and Nongalactic Astrophysics · Physics 2022-01-31 Matteo Martinelli , Roohi Dalal , Fereshteh Majidi , Yashar Akrami , Stefano Camera , Elena Sellentin

We present a re--analysis of the European Large Area ISO Survey (ELAIS) 90mum observations carried out with ISOPHOT, an instrument on board the ESA's Infrared Space Observatory (ISO). With more than 12 sq. deg., the ELAIS survey is the…

The Shear TEsting Programme (STEP) is a collaborative project to improve the accuracy and reliability of weak lensing measurement, in preparation for the next generation of wide-field surveys. We review sixteen current and emerging shear…

We present EntropyDB, an interactive data exploration system that uses a probabilistic approach to generate a small, query-able summary of a dataset. Departing from traditional summarization techniques, we use the Principle of Maximum…

Databases · Computer Science 2019-11-13 Laurel Orr , Magdalena Balazinska , Dan Suciu

The rapidly growing statistical precision of galaxy surveys has lead to a need for ever-more precise predictions of the observables used to constrain cosmological and galaxy formation models. The primary avenue through which such…

Cosmology and Nongalactic Astrophysics · Physics 2019-04-24 Joseph DeRose , Risa H. Wechsler , Jeremy L. Tinker , Matthew R. Becker , Yao-Yuan Mao , Thomas McClintock , Sean McLaughlin , Eduardo Rozo , Zhongxu Zhai

The DEEP2 project will obtain redshifts for ~60,000 galaxies between z~0.7-1.5 in a comoving volume of 7 10^6 Mpc/h^3 for an LCDM universe. The survey will map four separate 2 by 0.5 degree strips of the sky. To study the expected…

Astrophysics · Physics 2009-11-07 Alison L. Coil , Marc Davis , Istvan Szapudi

This work introduces an evaluation benchmark for depth estimation and completion using high-resolution depth measurements with angular resolution of up to 25" (arcsecond), akin to a 50 megapixel camera with per-pixel depth available.…

Computer Vision and Pattern Recognition · Computer Science 2019-12-09 Tobias Gruber , Mario Bijelic , Felix Heide , Werner Ritter , Klaus Dietmayer

We explore the cosmological constraints expected from wide area XMM-type cluster surveys covering 50-200 deg2, under realistic observing conditions. We perform a Fisher matrix analysis based on cluster number counts in combination with…

Cosmology and Nongalactic Astrophysics · Physics 2011-07-26 M. Pierre , F. Pacaud , J. B. Juin , J. B. Melin , N. Clerc , P. S. Corasaniti

We have investigated the statistical clustering properties of galaxies by calculating the 2-point galaxy correlation function from the Durham/UKST Galaxy Redshift Survey. This survey is magnitude limited to bj = 17, contains 2500 galaxies…

Astrophysics · Physics 2009-10-30 A. Ratcliffe , T. Shanks , Q. A. Parker , R. Fong , .

Understanding and mitigating measurement systematics in weak lensing (WL) analysis requires large datasets of realistic galaxies with diverse morphologies and colors. Missions like Euclid, the Nancy Roman Space Telescope, and Vera C. Rubin…

Astrophysics of Galaxies · Physics 2025-06-09 Diana Scognamiglio , Jake H. Lee , Eric Huff , Sergi R. Hildebrandt , Shoubaneh Hemmati

To support the development of the data processing pipeline and the scientific performance assessment for the Cool Planet Imaging Coronagraph (CPI-C) on the Chinese Space Station Survey Telescope (CSST), we have developed the end-to-end…

Instrumentation and Methods for Astrophysics · Physics 2025-11-14 Gang Zhao , Yiming Zhu , Jiangpei Dou , Yili Chen , Zhonghua Lv , Bingli Niu , Zhaojun Yan , Bo Ma , Ran Li