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pro vyhledávání: '"Dashpute, Aniket"'
Autor:
Vyas, Kushal, Humayun, Ahmed Imtiaz, Dashpute, Aniket, Baraniuk, Richard G., Veeraraghavan, Ashok, Balakrishnan, Guha
Implicit neural representations (INRs) have demonstrated success in a variety of applications, including inverse problems and neural rendering. An INR is typically trained to capture one signal of interest, resulting in learned neural features that a
Externí odkaz:
http://arxiv.org/abs/2409.09566
Autor:
Dashpute, Aniket, Wang, Jiazhang, Taylor, James, Cossairt, Oliver, Veeraraghavan, Ashok, Willomitzer, Florian
Event-based structured light systems have recently been introduced as an exciting alternative to conventional frame-based triangulation systems for the 3D measurements of diffuse surfaces. Important benefits include the fast capture speed and the hig
Externí odkaz:
http://arxiv.org/abs/2311.09652
Autor:
Dashpute, Aniket, Saragadam, Vishwanath, Alexander, Emma, Willomitzer, Florian, Katsaggelos, Aggelos, Veeraraghavan, Ashok, Cossairt, Oliver
Robust and non-destructive material classification is a challenging but crucial first-step in numerous vision applications. We propose a physics-guided material classification framework that relies on thermal properties of the object. Our key observa
Externí odkaz:
http://arxiv.org/abs/2304.00696
Akademický článek
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