Article
Computer Science, Artificial Intelligence
Ryan Solgi, Hugo A. Loaiciga
Summary: This study evaluates the performance of seven bee-inspired metaheuristic algorithms in solving continuous optimization problems, ranks them based on convergence efficiency, and identifies ABC, BEGA, and MBO as the most efficient algorithms.
ARTIFICIAL INTELLIGENCE REVIEW
(2021)
Article
Chemistry, Multidisciplinary
Na Zhang, Jungang Wang, Yuwei Duan, Shaomin Yang, Dongfang Xu, Xuruo Lei, Meizi Wu, Ningyi Yuan, Jianning Ding, Jian Cui, Zhike Liu
Summary: In this study, a sacrificing dye (RBITC) was developed to regulate the growth of perovskite film by releasing ethylammonium cations, isothiocyanate anions, and benzoic acid molecules. This technique improved the quality of perovskite films and achieved high open circuit voltage and power conversion efficiency in CsPbI3 perovskite solar cells. The results provide an efficient chemical strategy to regulate the formation of perovskite films for high-performance all-inorganic PSCs.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Article
Optics
Jialong Chen, Songyun Gu, Yunlong Meng, Zhiqiang Fu, Shih-Chi Chen
Summary: The letter introduces a holography-based structured light illumination method to enhance the resolution of widefield temporal focusing microscopy. By inducing temporal focusing and generating structured patterns, this method improves optical cross-sectioning capability and demonstrates enhanced axial confinement and improved suppression of out-of-focus fluorescence in imaging experiments.
Review
Chemistry, Multidisciplinary
Isaac Daniel Sanchez-Garcia, Jezreel Mejia, Tomas San Feliu Gilabert
Summary: Incorporating technologies has made cybersecurity risk assessment a critical step in risk management across all sectors. However, automating this step using qualitative and quantitative tools has proven to be complex due to the lack of consideration for sub-steps and necessary variables. To address these issues, this article presents a systematic mapping review of 35 tools from 40 primary studies published in the last decade. The study reveals an upward trend in cyber risk assessment tool publication and highlights the importance of considering variables and sub-stages in the risk assessment process.
APPLIED SCIENCES-BASEL
(2023)
Article
Astronomy & Astrophysics
Atsuki Kuwata, Hajime Kawahara, Masataka Aizawa, Takayuki Kotani, Motohide Tamura
Summary: The researchers apply sparse modeling to the retrieval of multiband reflected light curves, successfully extracting spatial and spectral information of exoplanet surfaces. The method is demonstrated on both real Earth data and a toy model, showing its effectiveness in inferring surface distributions and unmixed spectra.
ASTROPHYSICAL JOURNAL
(2022)
Article
Computer Science, Software Engineering
Duan Gao, Haoyuan Mu, Kun Xu
Summary: We propose a novel method called neural global illumination for fast rendering of full global illumination in static scenes with dynamic viewpoint and area lighting. Our method utilizes a deep rendering network to model the mapping from each shading point to global illumination. We also introduce a neural-network-friendly input representation and a screen-space neural buffer to share global information between objects. This method can synthesize complex global illumination effects efficiently and is capable of handling scenes with multiple-bounce glossy interreflection, color bleeding, and caustics.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Review
Engineering, Electrical & Electronic
Danyu Sun, Xixuan Zhao, Jiangming Kan
Summary: This paper investigates the performance of different color descriptors under illumination variation, with the findings that color moment invariants provide the optimal balance between performance and dimensions, and color descriptors derived from physical reflectance models are more suitable for object recognition and image retrieval.
JOURNAL OF SENSORS
(2021)
Article
Computer Science, Information Systems
Wonjun Lee, Piljoong Jeong, Hajin Choi, Jinwoo Kim, Bochang Moon
Summary: The research proposes a technique for estimating scene illumination through online learning to achieve visual consistency between virtual and real objects, capable of providing high-quality global illumination results in augmented reality.
Article
Computer Science, Software Engineering
Abhimitra Meka, Mohammad Shafiei, Michael Zollhofer, Christian Richardt, Christian Theobalt
Summary: This study introduces a real-time approach for decomposing monocular color videos into direct and indirect illumination components, which works for regular videos and produces coherent decomposition layers. By using sparsity priors and a new formulation based on non-linear equations, the estimation of direct and indirect illumination layers can be achieved efficiently, leading to improvements in both quality and runtime.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Zander Majercik, Thomas Muller, Alexander Keller, Derek Nowrouzezahrai, Morgan McGuire
Summary: This study enhances sample efficiency for transport contributions terminating on diffuse scattering events by combining screen-space reservoir resampling and sparse world-space probes, resulting in clear improvements over purely path tracing and probe-based baselines in rendering global illumination interactively in complex scenes.
COMPUTER GRAPHICS FORUM
(2022)
Article
Computer Science, Software Engineering
K. Doi, Y. Morimoto, R. Tsuruno
Summary: The aim is to convert an object's appearance to an arbitrary colour while considering light scattering in the entire scene, known as global illumination. Existing methods cannot express global illumination effects, so two individual methods are proposed to achieve this by reproducing reflections in other objects with the converted colour.
COMPUTER GRAPHICS FORUM
(2021)
Article
Multidisciplinary Sciences
Jin-Woo Kim, Jeong-Sik Cho, Christian Sacarelo, Nur Duwi Fat Fitri, Ju-Seong Hwang, June-Koo Kevin Rhee
Summary: We propose a photon-counting-statistics-based imaging process that distinguishes and eliminates background photon noise by estimating photon modes from the multi-mode Bose-Einstein distribution. Machine learning techniques, such as support vector machines (SVM), are used to classify different mode numbers in photon-counting probability distributions and improve image quality.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Software Engineering
Nelson Max
Summary: This paper enhances the voxel-to-voxel radiance shooting, propagation, and scattering algorithm by optimizing storage and sampling methods, reducing memory requirements. The computation time is proportional to O(n(3)(log n)(3/2)) for a volume of n(3) voxels.
Article
Physics, Applied
Zhao Wang, Rui Ma, Jun Liu, Jing Song He, Wei Li Zhang
Summary: Scattering effect is a common issue in practical bioimaging systems, leading to a higher demand for image reconstruction from blurred images. This study proposes a non-invasive method using wavelength-dependent speckle illumination for point spread function (PSF) recovery, which enables effective image reconstruction and facilitates techniques such as image deblurring and super-resolution imaging.
APPLIED PHYSICS LETTERS
(2023)
Article
Quantum Science & Technology
Ricardo Gallego Torrome
Summary: A theoretical generalization of Lloyd's quantum illumination model for two entangled photon states is developed, which is shown to be more sensitive to SNR and reduces the required time-bandwidth product. The protocol is resilient against noise and potentially losses, but the generation of the required three photon states remains a technical problem for practical implementation.
ADVANCED QUANTUM TECHNOLOGIES
(2021)
Article
Computer Science, Software Engineering
Johannes Hanika, Anton Kaplanyan, Carsten Dachsbacher
COMPUTER GRAPHICS FORUM
(2015)
Article
Computer Science, Software Engineering
Anjul Patney, Marco Salvi, Joohwan Kim, Anton Kaplanyan, Chris Wyman, Nir Benty, David Luebke, Aaron Lefohn
ACM TRANSACTIONS ON GRAPHICS
(2016)
Article
Computer Science, Software Engineering
Thorsten-Walther Schmidt, Jan Novak, Johannes Meng, Anton S. Kaplanyan, Tim Reiner, Derek Nowrouzezahrai, Carsten Dachsbacher
ACM TRANSACTIONS ON GRAPHICS
(2013)
Article
Computer Science, Software Engineering
Anton S. Kaplanyan, Johannes Hanika, Carsten Dachsbacher
ACM TRANSACTIONS ON GRAPHICS
(2014)
Article
Computer Science, Software Engineering
Toshiya Hachisuka, Anton S. Kaplanyan, Carsten Dachsbacher
ACM TRANSACTIONS ON GRAPHICS
(2014)
Article
Computer Science, Software Engineering
Anton S. Kaplanyan, Carsten Dachsbacher
COMPUTER GRAPHICS FORUM
(2013)
Article
Computer Science, Software Engineering
Lei Xiao, Anton Kaplanyan, Alexander Fix, Matthew Chapman, Douglas Lanman
ACM TRANSACTIONS ON GRAPHICS
(2018)
Article
Computer Science, Software Engineering
Anton S. Kaplanyan, Anton Sochenov, Thomas Leimkuhler, Mikhail Okunev, Todd Goodall, Gizem Rufo
ACM TRANSACTIONS ON GRAPHICS
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Dejan Azinovic, Tzu-Mao Li, Anton Kaplanyan, Matthias Niessner
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019)
(2019)
Proceedings Paper
Computer Science, Theory & Methods
Yusuke Tokuyoshi, Anton S. Kaplanyan
ACM SIGGRAPH SYMPOSIUM ON INTERACTIVE 3D GRAPHICS AND GAMES (I3D 2019)
(2019)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Lei Xiao, Anton Kaplanyan, Alexander Fix, Matt Chapman, Douglas Lanman
SIGGRAPH'18: ACM SIGGRAPH 2018 TALKS
(2018)
Article
Computer Science, Software Engineering
Chakravarty R. Alla Chaitanya, Anton S. Kaplanyan, Christoph Schied, Marco Salvi, Aaron Lefohn, Derek Nowrouzezahrai, Timo Aila
ACM TRANSACTIONS ON GRAPHICS
(2017)
Article
Computer Science, Software Engineering
Hisanari Otsu, Anton S. Kaplanyan, Johannes Hanika, Carsten Dachsbacher, Toshiya Hachisuka
ACM TRANSACTIONS ON GRAPHICS
(2017)
Proceedings Paper
Computer Science, Theory & Methods
Tobias Zirr, Anton S. Kaplanyan
PROCEEDINGS I3D 2016: 20TH ACM SIGGRAPH SYMPOSIUM ON INTERACTIVE 3D GRAPHICS AND GAMES
(2016)