Ronak Kosti

4 total

21JUN 2021
News
3rd SUMAC Workshop (Co-Organized by FAU)
The 3rd workshop on Structuring and Understanding of Multimedia heritAge Contents (SUMAC) is going to be held in conjunction with ACM Multi-Media Conference 2021. Continuing the tradition of the 2nd SUMAC workshop (SUMAC 2020), this year too FAU is a co-organizer for this workshop. The organizers include Valerie Gouet-Brunet (LaSTIG Lab / IGN – Gustave […]
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01SEP 2020
News
[Invited Talk] A Method for Efficient Minimal Solvers – Snehal Bhayani (CVPR 2020)
It is a pleasure to announce the invited talk by Snehal Bhayani, currently pursuing his doctoral studies from Center for Machine Vision and Signal Analysis at University of Oulu. Mr. Bhayani has recently published his work on minimal solvers at CVPR 2020 and is going to talk about it during the session. Please, find the […]
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17JUN 2020
News
ETI Grant Awarded for Multi-modal Emotions
Multi-modal (Audio, Text, Visual) Emotion Recognition Grant Awardee: Ronak Kosti Grant Duration: July-2020 to June-2021 Project Description We recognize people’s emotions from their facial expressions, body posture, behavior and social interaction with other people. It is an essential ability which helps to understand what people are feeling in general, but also to respond appropriately. For […]Multi-modal (Audio, Text, Visual) Emotion Recognition Grant Awardee: Ronak Kosti Grant Duration: July-2020 to June-2021 Project Description We recognize people’s emotions from their facial expressions, body posture, behavior and social interaction with other people. It is an essential ability which helps to understand what people are feeling in general, but also to respond appropriately. For […]
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10APR 2020
News
2nd SUMAC Workshop (Co-Organized by PRL/FAU)
The 2nd workshop on Structuring and Understanding of Multimedia heritAge Contents (SUMAC) is going to be held in conjunction with ACM Multi-Media Conference 2020. In the 1st SUMAC workshop, Prathmesh Madhu and Ronak Kosti gave an oral presentation of their work on Recognizing Characters in Art History using Deep Learning. It is great to announce […]
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