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20212024
most citedSTELLAR: Siamese Multi-Headed Attention Neural Networks for Overcoming Temporal Variations and Device Heterogeneity with Indoor Localization

20 citations · 43 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2024★ 19 cited

SANGRIA: Stacked Autoencoder Neural Networks with Gradient Boosting for Indoor Localization

Danish Gufran, Saideep Tiku, Sudeep Pasricha

Indoor localization is a critical task in many embedded applications, such as asset tracking, emergency response, and realtime navigation. In this article, we propose a novel finge…

cs.LG2023★ 20 cited

STELLAR: Siamese Multi-Headed Attention Neural Networks for Overcoming Temporal Variations and Device Heterogeneity with Indoor Localization

Danish Gufran, Saideep Tiku, Sudeep Pasricha

Smartphone-based indoor localization has emerged as a cost-effective and accurate solution to localize mobile and IoT devices indoors. However, the challenges of device heterogenei…

cs.AI2023★ 2 cited

VITAL: Vision Transformer Neural Networks for Accurate Smartphone Heterogeneity Resilient Indoor Localization

Danish Gufran, Saideep Tiku, Sudeep Pasricha

Wi-Fi fingerprinting-based indoor localization is an emerging embedded application domain that leverages existing Wi-Fi access points (APs) in buildings to localize users with smar…

eess.SP2022★ 1 cited

Multi-Head Attention Neural Network for Smartphone Invariant Indoor Localization

Saideep Tiku, Danish Gufran, Sudeep Pasricha

Smartphones together with RSSI fingerprinting serve as an efficient approach for delivering a low-cost and high-accuracy indoor localization solution. However, a few critical chall…

cs.LG2021

Siamese Neural Encoders for Long-Term Indoor Localization with Mobile Devices

Saideep Tiku, Sudeep Pasricha

Fingerprinting-based indoor localization is an emerging application domain for enhanced positioning and tracking of people and assets within indoor locales. The superior pairing of…

cs.LG2021

CHISEL: Compression-Aware High-Accuracy Embedded Indoor Localization with Deep Learning

Liping Wang, Saideep Tiku, Sudeep Pasricha

GPS technology has revolutionized the way we localize and navigate outdoors. However, the poor reception of GPS signals in buildings makes it unsuitable for indoor localization. Wi…

cs.NI2021★ 1 cited

QuickLoc: Adaptive Deep-Learning for Fast Indoor Localization with Mobile Devices

Saideep Tiku, Prathmesh Kale, Sudeep Pasricha

Indoor localization services are a crucial aspect for the realization of smart cyber-physical systems within cities of the future. Such services are poised to reinvent the process…