29 citations · 32 across the 9 of their papers we have counts for
9 papers
Fast and Generalizable NeRF Architecture Selection for Satellite Scene Reconstruction
Devjyoti Chakraborty, Zaki Sukma, Rakandhiya D. Rachmanto +6
Neural Radiance Fields (NeRF) have emerged as a powerful approach for photorealistic 3D reconstruction from multi-view images. However, deploying NeRF for satellite imagery remains…
-NeRF: Incremental Refinement of Neural Radiance Fields through Residual Control and Knowledge Transfer
Kriti Ghosh, Devjyoti Chakraborty, Lakshmish Ramaswamy +4
Neural Radiance Fields (NeRFs) have demonstrated remarkable capabilities in 3D reconstruction and novel view synthesis. However, most existing NeRF frameworks require complete retr…
An Energy-Efficient Ensemble Approach for Mitigating Data Incompleteness in IoT Applications
Yousef AlShehri, Lakshmish Ramaswamy
Machine Learning (ML) is becoming increasingly important for IoT-based applications. However, the dynamic and ad-hoc nature of many IoT ecosystems poses unique challenges to the ef…
F4D: Factorized 4D Convolutional Neural Network for Efficient Video-level Representation Learning
Mohammad Al-Saad, Lakshmish Ramaswamy, Suchendra Bhandarkar
Recent studies have shown that video-level representation learning is crucial to the capture and understanding of the long-range temporal structure for video action recognition. Mo…
Towards Modular Machine Learning Solution Development: Benefits and Trade-offs
Samiyuru Menik, Lakshmish Ramaswamy
Machine learning technologies have demonstrated immense capabilities in various domains. They play a key role in the success of modern businesses. However, adoption of machine lear…
SECOE: Alleviating Sensors Failure in Machine Learning-Coupled IoT Systems
Yousef AlShehri, Lakshmish Ramaswamy
Machine learning (ML) applications continue to revolutionize many domains. In recent years, there has been considerable research interest in building novel ML applications for a va…
AI Multi-Tenancy on Edge: Concurrent Deep Learning Model Executions and Dynamic Model Placements on Edge Devices
Piyush Subedi, Jianwei Hao, In Kee Kim +1
Many real-world applications are widely adopting the edge computing paradigm due to its low latency and better privacy protection. With notable success in AI and deep learning (DL)…
Spatio-Temporal Coverage Enhancement in Drive-By Sensing Through Utility-Aware Mobile Agent Selection
Navid Hashemi Tonekaboni, Lakshmish Ramaswamy, Deepak Mishra +1
In recent years, the drive-by sensing paradigm has become increasingly popular for cost-effective monitoring of urban areas. Drive-by sensing is a form of crowdsensing wherein sens…
Intelligent Infrastructure for Smart Agriculture: An Integrated Food, Energy and Water System
Shashi Shekhar, Joe Colletti, Francisco Muñoz-Arriola +4
Agriculture provides economic opportunity through innovation; helps rural America to thrive; promotes agricultural production that better nourishes Americans; and aims to preserve…