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20172026
most citedLow-Energy Deep Belief Networks using Intrinsic Sigmoidal Spintronic-based Probabilistic Neurons

45 citations · 166 across the 41 of their papers we have counts for

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cs.CV2024

AssemAI: Interpretable Image-Based Anomaly Detection for Manufacturing Pipelines

Renjith Prasad, Chathurangi Shyalika, Ramtin Zand +4

Anomaly detection in manufacturing pipelines remains a critical challenge, intensified by the complexity and variability of industrial environments. This paper introduces AssemAI,…

cs.CV2024

HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI

Brendan Reidy, Sepehr Tabrizchi, Mohamadreza Mohammadi +3

With the rise of tiny IoT devices powered by machine learning (ML), many researchers have directed their focus toward compressing models to fit on tiny edge devices. Recent works h…

cs.CV2024

Realtime Facial Expression Recognition: Neuromorphic Hardware vs. Edge AI Accelerators

Heath Smith, James Seekings, Mohammadreza Mohammadi +1

The paper focuses on real-time facial expression recognition (FER) systems as an important component in various real-world applications such as social robotics. We investigate two…

cs.CV2023★ 17 cited

Facial Expression Recognition at the Edge: CPU vs GPU vs VPU vs TPU

Mohammadreza Mohammadi, Heath Smith, Lareb Khan +1

Facial Expression Recognition (FER) plays an important role in human-computer interactions and is used in a wide range of applications. Convolutional Neural Networks (CNN) have sho…

cs.CV2020

TSV Extrusion Morphology Classification Using Deep Convolutional Neural Networks

Brendan Reidy, Golareh Jalilvand, Tengfei Jiang +1

In this paper, we utilize deep convolutional neural networks (CNNs) to classify the morphology of through-silicon via (TSV) extrusion in three dimensional (3D) integrated circuits…