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Masked modeling has emerged as a powerful self-supervised learning framework, but existing methods largely rely on random masking, disregarding the structural properties of different modalities. In this work, we introduce structured…

Machine Learning · Computer Science 2025-03-21 Aritra Bhowmik , Fida Mohammad Thoker , Carlos Hinojosa , Bernard Ghanem , Cees G. M. Snoek

Quasi-static speckles are a current limitation to faint companion imaging of bright stars. Here we show through simulation and theory that an adaptive pupil mask can be used to reduce these speckles and increase the visibility of faint…

Instrumentation and Methods for Astrophysics · Physics 2015-06-05 James Osborn

The fields of occultation and microlensing are linked historically. Early this century, occultation of the Sun by the Moon allowed the apparent positions of background stars projected near the limb of the Sun to be measured and compared…

Astrophysics · Physics 2007-05-23 Penny D. Sackett

Can we capture shape and reflectance in stealth? Such capability would be valuable for many application domains in vision, xR, robotics, and HCI. We introduce structured polarization for invisible depth and reflectance sensing (SPIDeRS),…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Tomoki Ichikawa , Shohei Nobuhara , Ko Nishino

We propose a new concept for spectral characterization of transiting exoplanets with future space-based telescopes. This concept, called as densified pupil spectroscopy, allows us to perform high, stable spectrophotometry against telescope…

Instrumentation and Methods for Astrophysics · Physics 2016-06-08 Taro Matsuo , Satoshi Itoh , Hiroshi Shibai , Takahiro Sumi , Tomoyasu Yamamuro

Pixel lensing is gravitational microlensing of unresolved stars. The main target explored up to now has been the nearby galaxy of Andromeda, M31. The scientific issues of interest are the search for dark matter in form of compact halo…

Astrophysics of Galaxies · Physics 2010-08-24 S. Calchi Novati

The direct imaging and characterization of Earth-like planets is among the most sought-after prizes in contemporary astrophysics, however current optical instrumentation delivers insufficient dynamic range to overcome the vast contrast…

Instrumentation and Methods for Astrophysics · Physics 2015-05-13 T. Kotani , S. Lacour , G. Perrin , G. Robertson , P. Tuthill

In this paper, spindle starshaped sets are introduced and investigated, which apart from normalization form an everywhere dense subfamily within the family of starshaped sets. We focus on proving spindle starshaped analogues of recent…

Metric Geometry · Mathematics 2014-02-03 Karoly Bezdek , Marton Naszodi

We designed and built a novel model of a deployed space telescope which can reliably align its segments to achieve the finest possible resolution. An asymmetric design of both the segment shapes and their pupil locations were tested in…

Instrumentation and Methods for Astrophysics · Physics 2022-06-29 B. Martin Levine , Michael Kaplun , Erez N. Ribak

Point Spread Function (PSF) modeling is a central part of any astronomy data analysis relying on measuring the shapes of objects. It is especially crucial for weak gravitational lensing, in order to beat down systematics and allow one to…

Instrumentation and Methods for Astrophysics · Physics 2015-05-30 Joel Bergé , Sedona Price , Adam Amara , Jason Rhodes

Modern approaches typically formulate semantic segmentation as a per-pixel classification task, while instance-level segmentation is handled with an alternative mask classification. Our key insight: mask classification is sufficiently…

Computer Vision and Pattern Recognition · Computer Science 2021-11-02 Bowen Cheng , Alexander G. Schwing , Alexander Kirillov

Interstellar dust is still the dominant uncertainty in Astronomy, limiting precision in e.g., cosmological distance estimates and models of how light is re-processed within a galaxy. When a foreground galaxy serendipitously overlaps a more…

Astrophysics of Galaxies · Physics 2015-09-28 B. W. Holwerda , W. C. Keel

Future space observatories will likely have segmented primaries, causing diffraction effects that reduce coronagraph performance. Reflective binary pupil apodizer masks can mitigate these, with the metamaterial black silicon (BSi) showing…

Instrumentation and Methods for Astrophysics · Physics 2024-06-28 Emory L. Jenkins , Ramya M. Anche , Kyle J. Van Gorkom , A. J. Eldorado Riggs , Ewan S. Douglas

In recent years, self-supervised denoising methods have gained significant success and become critically important in the field of image restoration. Among them, the blind spot network based methods are the most typical type and have…

Image and Video Processing · Electrical Eng. & Systems 2024-07-16 Xiangyu Liao , Tianheng Zheng , Jiayu Zhong , Pingping Zhang , Chao Ren

Arbitrary distributions of radiant exposure may be written by transversely scanning a single known spatially-random screen that is normally illuminated by spatially but not necessarily temporally uniform radiation or matter wave fields. The…

Optics · Physics 2019-12-18 David M. Paganin

The penetrating power of X rays underpins important applications such as medical radiography. However, this same attribute makes it challenging to achieve flexible on-demand patterning of X-ray beams. One possible path to this goal is…

Image and Video Processing · Electrical Eng. & Systems 2023-08-07 David Ceddia , Alaleh Aminzadeh , Philip K. Cook , Daniele Pelliccia , Andrew M. Kingston , David M. Paganin

Elliptically contoured distributions can be considered to be the distributions for which the contours of the density functions are proportional ellipsoids. Kamiya, Takemura and Kuriki (2006) generalized the elliptically contoured…

Statistics Theory · Mathematics 2008-01-27 Hidehiko Kamiya , Akimichi Takemura

The shapes of distant galaxies are sheared by intervening galaxy clusters. We examine this effect in Stripe 82, a 275 square degree region observed multiple times in the Sloan Digital Sky Survey and coadded to achieve greater depth. We…

This work discusses a learning approach to mask rewarding objects in images using sparse reward signals from an imitation learning dataset. For that, we train an Hourglass network using only feedback from a critic model. The Hourglass…

Computer Vision and Pattern Recognition · Computer Science 2021-07-21 Andrew Melnik , Augustin Harter , Christian Limberg , Krishan Rana , Niko Suenderhauf , Helge Ritter

Real-time, accurate, and robust pupil detection is an essential prerequisite for pervasive video-based eye-tracking. However, automated pupil detection in real-world scenarios has proven to be an intricate challenge due to fast illumination…

Computer Vision and Pattern Recognition · Computer Science 2016-01-20 Wolfgang Fuhl , Thiago Santini , Gjergji Kasneci , Enkelejda Kasneci