Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Patra, Aditya"'
The paper addresses advancements in Generative Artificial Intelligence (GenAI) and digital chip design, highlighting the integration of Large Language Models (LLMs) in automating hardware description and design. LLMs, known for generating human-like
Externí odkaz:
http://arxiv.org/abs/2412.09745
The learning to defer (L2D) framework allows autonomous systems to be safe and robust by allocating difficult decisions to a human expert. All existing work on L2D assumes that each expert is well-identified, and if any expert were to change, the sys
Externí odkaz:
http://arxiv.org/abs/2403.02683
Autor:
Dubey, Ravish, Patra, Aditya Kumar, Joshi, Jayadev, Blankenberg, Daniel, Nazneen, Penchala, Abhishek, Lee, Xuhui
Publikováno v:
In Atmospheric Environment 1 November 2024 336
Autor:
Penchala, Abhishek, Patra, Aditya Kumar, Santra, Samrat, Dubey, Ravish, Mishra, Namrata, Nazneen, Pradhan, Dhruti Sundar
Publikováno v:
In Measurement 30 January 2025 240
Autor:
Nazneen, Patra, Aditya Kumar, Kolluru, Soma Sekhara Rao, Penchala, Abhishek, Kumar, Sachidanand, Mishra, Namrata, Sree, Naragam Bhanu, Santra, Samrat, Dubey, Ravish
Publikováno v:
In Environmental Research 15 March 2024 245
The dense depth estimation of a 3D scene has numerous applications, mainly in robotics and surveillance. LiDAR and radar sensors are the hardware solution for real-time depth estimation, but these sensors produce sparse depth maps and are sometimes u
Externí odkaz:
http://arxiv.org/abs/2005.14313
Recent advancements of neural networks lead to reliable monocular depth estimation. Monocular depth estimated techniques have the upper hand over traditional depth estimation techniques as it only needs one image during inference. Depth estimation is
Externí odkaz:
http://arxiv.org/abs/2005.14302
Publikováno v:
In Atmospheric Pollution Research June 2023 14(6)
Publikováno v:
In Materials Today: Proceedings
Publikováno v:
In Science of the Total Environment 25 August 2022 836