69 citations · 212 across the 8 of their papers we have counts for
8 papers
MoFM: A Large-Scale Human Motion Foundation Model
Mohammadreza Baharani, Ghazal Alinezhad Noghre, Armin Danesh Pazho +2
Foundation Models (FM) have increasingly drawn the attention of researchers due to their scalability and generalization across diverse tasks. Inspired by the success of FMs and the…
Ancilia: Scalable Intelligent Video Surveillance for the Artificial Intelligence of Things
Armin Danesh Pazho, Christopher Neff, Ghazal Alinezhad Noghre +4
With the advancement of vision-based artificial intelligence, the proliferation of the Internet of Things connected cameras, and the increasing societal need for rapid and equitabl…
DeepTrack: Lightweight Deep Learning for Vehicle Path Prediction in Highways
Vinit Katariya, Mohammadreza Baharani, Nichole Morris +2
Vehicle trajectory prediction is essential for enabling safety-critical intelligent transportation systems (ITS) applications used in management and operations. While there have be…
ATCN: Resource-Efficient Processing of Time Series on Edge
Mohammadreza Baharani, Hamed Tabkhi
This paper presents a scalable deep learning model called Agile Temporal Convolutional Network (ATCN) for high-accurate fast classification and time series prediction in resource-c…
DeepDive: An Integrative Algorithm/Architecture Co-Design for Deep Separable Convolutional Neural Networks
Mohammadreza Baharani, Ushma Sunil, Kaustubh Manohar +2
Deep Separable Convolutional Neural Networks (DSCNNs) have become the emerging paradigm by offering modular networks with structural sparsity in order to achieve higher accuracy wi…
REVAMPT: Real-time Edge Video Analytics for Multi-camera Privacy-aware Pedestrian Tracking
Christopher Neff, Matías Mendieta, Shrey Mohan +3
This article presents REVAMPT, Real-time Edge Video Analytics for Multi-camera Privacy-aware Pedestrian Tracking, as an integrated end-to-end IoT system for privacy-built-in de…
Real-time Person Re-identification at the Edge: A Mixed Precision Approach
Mohammadreza Baharani, Shrey Mohan, Hamed Tabkhi
A critical part of multi-person multi-camera tracking is person re-identification (re-ID) algorithm, which recognizes and retains identities of all detected unknown people througho…
Real-time Deep Learning at the Edge for Scalable Reliability Modeling of Si-MOSFET Power Electronics Converters
Mohammadreza Baharani, Mehrdad Biglarbegian, Babak Parkhideh +1
With the significant growth of advanced high-frequency power converters, on-line monitoring and active reliability assessment of power electronic devices are extremely crucial. Thi…