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researcher

Amir-massoud Farahmand

Vector Institute

34 papers hereh-index 16855 citations59 works total

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

author position
  • first author1
  • middle author16
  • last author17

Across the 34 of 34 papers where every author was matched, so the position is known.

fields
  • cs.LG26
  • cs.AI3
  • cs.CV2
  • cs.CL1
  • eess.SY1
  • stat.ML1
affiliations
  • Vector Institute
Homepage

identity via Semantic Scholar / OpenAlex

activity
20122026
most citedAttentional Network for Visual Object Detection

21 citations · 78 across the 33 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2018★ 2 cited

Improving Skin Condition Classification with a Question Answering Model

Mohamed Akrout, Amir-massoud Farahmand, Tory Jarmain

We present a skin condition classification methodology based on a sequential pipeline of a pre-trained Convolutional Neural Network (CNN) and a Question Answering (QA) model. This…

cs.CV2017★ 21 cited

Attentional Network for Visual Object Detection

Kota Hara, Ming-Yu Liu, Oncel Tuzel +1

We propose augmenting deep neural networks with an attention mechanism for the visual object detection task. As perceiving a scene, humans have the capability of multiple fixation…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.