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20182025
most citedSelf Attention Grid for Person Re-Identification

3 citations · 4 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

Airway Skill Assessment with Spatiotemporal Attention Mechanisms Using Human Gaze

Jean-Paul Ainam, Rahul, Lora Cavuoto +3

Airway management skills are critical in emergency medicine and are typically assessed through subjective evaluation, often failing to gauge competency in real-world scenarios. Thi…

cs.CV2024

Deep Learning for Video-Based Assessment of Endotracheal Intubation Skills

Jean-Paul Ainam, Erim Yanik, Rahul Rahul +7

Endotracheal intubation (ETI) is an emergency procedure performed in civilian and combat casualty care settings to establish an airway. Objective and automated assessment of ETI sk…

cs.CV2022

Scene Recognition with Objectness, Attribute and Category Learning

Ji Zhang, Jean-Paul Ainam, Li-hui Zhao +2

Scene classification has established itself as a challenging research problem. Compared to images of individual objects, scene images could be much more semantically complex and ab…

cs.CV2018★ 3 cited

Self Attention Grid for Person Re-Identification

Jean-Paul Ainam, Ke Qin, Guisong Liu

In this paper, we present an attention mechanism scheme to improve person re-identification task. Inspired by biology, we propose Self Attention Grid (SAG) to discover the most inf…

cs.CV2018★ 1 cited

Sparse Label Smoothing Regularization for Person Re-Identification

Jean-Paul Ainam, Ke Qin, Guisong Liu +1

Person re-identification (re-id) is a cross-camera retrieval task which establishes a correspondence between images of a person from multiple cameras. Deep Learning methods have be…