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Recognition

Best Paper Award at ICOBAR 2023

Comparative study of pre-trained DCNN models for facial emotion detection

Best Paper Award at ICOBAR 2023

FIELD NOTE

What happened, what I contributed, and what is documented

Best Paper recognition for research comparing pre-trained deep convolutional neural networks for facial emotion detection. The work evaluated alternative pre-trained visual architectures for facial-emotion recognition.

My contribution covered the following work: Research authorship and presentation within the ICOBAR 2023 programme. The emphasis was on translating the topic into a structured experience rather than presenting technology as an isolated demonstration.

The public record currently includes: Award certificate image; ICOBAR 2023 conference programme. This page therefore describes the activity through verifiable context and evidence, without claiming long-term outcomes that have not yet been measured.

Documentation

Best Paper Award at ICOBAR 2023

Best Paper Award at ICOBAR 2023
Best Paper Award at ICOBAR 2023 · 1

Sources

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Best Paper recognition for research comparing pre-trained deep convolutional neural networks for facial emotion detection.

Background musicDream CultureSlow instrumental · piano and percussion · no vocalsTrack and licence: Kevin MacLeod·CC BY 3.0