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Mostafa Parchami

3 papers hereh-index 8300 citations13 works total

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

author position
  • first author1
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  • last author1

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

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

most citedEfficient data-driven encoding of scene motion using Eccentricity

1 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2023

FOCAL: A Cost-Aware Video Dataset for Active Learning

Kiran Kokilepersaud, Yash-Yee Logan, Ryan Benkert +6

In this paper, we introduce the FOCAL (Ford-OLIVES Collaboration on Active Learning) dataset which enables the study of the impact of annotation-cost within a video active learning…

cs.CV2021★ 1 cited

Deep Feature Tracker: A Novel Application for Deep Convolutional Neural Networks

Mostafa Parchami, Saif Iftekar Sayed

Feature tracking is the building block of many applications such as visual odometry, augmented reality, and target tracking. Unfortunately, the state-of-the-art vision-based tracki…

cs.CV2021★ 1 cited

Efficient data-driven encoding of scene motion using Eccentricity

Bruno Costa, Enrique Corona, Mostafa Parchami +2

This paper presents a novel approach of representing dynamic visual scenes with static maps generated from video/image streams. Such representation allows easy visual assessment of…

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