Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Srinivasa G. Narasimhan"'
Autor:
Maysamreza Chamanzar, Matteo Giuseppe Scopelliti, Adithya Pediredla, Hengji Huang, Srinivasa G. Narasimhan, Ioannis Gkioulekas, Mohammad-Reza Alam, Michel M. Maharbiz
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-5 (2022)
Externí odkaz:
https://doaj.org/article/68f57befe80948c687266bc70152fed6
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Autor:
Tiancheng Zhi, Bowei Chen, Ivaylo Boyadzhiev, Sing Bing Kang, Martial Hebert, Srinivasa G. Narasimhan
We describe a novel approach to decompose a single panorama of an empty indoor environment into four appearance components: specular, direct sunlight, diffuse and diffuse ambient without direct sunlight. Our system is weakly supervised by automatical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca350d8781bd95b004a3f5900d6dc2d0
http://arxiv.org/abs/2205.13150
http://arxiv.org/abs/2205.13150
Autor:
Maysamreza Chamanzar, Yasin Karimi Chalmiani, Matteo Giuseppe Scopelliti, Srinivasa G. Narasimhan, Ioannis Gkioulekas, Adithya Pediredla
Publikováno v:
ACM Transactions on Graphics. 39:1-15
Rendering radiative transfer through media with a heterogeneous refractive index is challenging because the continuous refractive index variations result in light traveling along curved paths. Existing algorithms are based on photon mapping technique
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197833
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30c05c1270e3a01f11777aea2b2729c3
https://doi.org/10.1007/978-3-031-19784-0_31
https://doi.org/10.1007/978-3-031-19784-0_31
Autor:
Adithya Pediredla, Matteo Giuseppe Scopelliti, Srinivasa G. Narasimhan, Maysam Chamanzar, Ioannis Gkioulekas
Ultrasonically sculpted gradient-index optical waveguides make it possible to non-invasively steer and confine light inside scattering media. This confinement capability has applications in tissue and brain imaging, where virtual optical waveguides c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95386573fa88942d8108bb714a1ff923
https://doi.org/10.21203/rs.3.rs-778793/v1
https://doi.org/10.21203/rs.3.rs-778793/v1
Publikováno v:
2021 IEEE Intelligent Vehicles Symposium (IV).
Reconstructing 4D vehicular activity (3D space and time) from cameras is useful for autonomous vehicles, commuters and local authorities to plan for smarter and safer cities. Traffic is inherently repetitious over long periods, yet current deep learn
To safely navigate unknown environments, robots must accurately perceive dynamic obstacles. Instead of directly measuring the scene depth with a LiDAR sensor, we explore the use of a much cheaper and higher resolution sensor: programmable light curta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f75d1fa8e15c43d4d5e8ec9488457aaf
http://arxiv.org/abs/2107.04000
http://arxiv.org/abs/2107.04000