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Seyed Hamed Fatemi Langroudi

Rochester Institute of Technology

3 papers hereh-index 5197 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.DC1
affiliations
  • Rochester Institute of Technology

identity via Semantic Scholar / OpenAlex

activity
20172019
collaborators

3 papers

cs.DC2019

Deep Positron: A Deep Neural Network Using the Posit Number System

Zachariah Carmichael, Hamed F. Langroudi, Char Khazanov +3

The recent surge of interest in Deep Neural Networks (DNNs) has led to increasingly complex networks that tax computational and memory resources. Many DNNs presently use 16-bit or…

cs.CV2018

Deep Learning Inference on Embedded Devices: Fixed-Point vs Posit

Seyed H. F. Langroudi, Tej Pandit, Dhireesha Kudithipudi

Performing the inference step of deep learning in resource constrained environments, such as embedded devices, is challenging. Success requires optimization at both software and ha…

cs.CV2017

Convolutional Drift Networks for Video Classification

Dillon Graham, Seyed Hamed Fatemi Langroudi, Christopher Kanan +1

Analyzing spatio-temporal data like video is a challenging task that requires processing visual and temporal information effectively. Convolutional Neural Networks have shown promi…

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