Ali Abedi

Affiliations:
  • KITE, Toronto Rehabilitation Institute, University Health Network, Toronto, Canada


According to our database1, Ali Abedi authored at least 18 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
FedSL: Federated split learning on distributed sequential data in recurrent neural networks.
Multim. Tools Appl., March, 2024

Bag of states: a non-sequential approach to video-based engagement measurement.
Multim. Syst., February, 2024

Artificial intelligence-driven virtual rehabilitation for people living in the community: A scoping review.
npj Digit. Medicine, 2024

Affect-driven ordinal engagement measurement from video.
Multim. Tools Appl., 2024

UlcerGPT: A Multimodal Approach Leveraging Large Language and Vision Models for Diabetic Foot Ulcer Image Transcription.
CoRR, 2024

Rehabilitation Exercise Quality Assessment through Supervised Contrastive Learning with Hard and Soft Negatives.
CoRR, 2024

Engagement Measurement Based on Facial Landmarks and Spatial-Temporal Graph Convolutional Networks.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023
Detecting disengagement in virtual learning as an anomaly using temporal convolutional network autoencoder.
Signal Image Video Process., October, 2023

Cross-Modal Video to Body-joints Augmentation for Rehabilitation Exercise Quality Assessment.
CoRR, 2023

Rehabilitation Exercise Repetition Segmentation and Counting Using Skeletal Body Joints.
Proceedings of the 20th Conference on Robots and Vision, 2023

2022
Detecting Disengagement in Virtual Learning as an Anomaly.
CoRR, 2022

Inconsistencies in Measuring Student Engagement in Virtual Learning - A Critical Review.
CoRR, 2022

Step Counting with Attention-based LSTM.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

MAISON - Multimodal AI-based Sensor platform for Older Individuals.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours from Multimodal Videos.
Proceedings of the 19th Conference on Robots and Vision, 2022

2021
Modified Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours.
CoRR, 2021

Affect-driven Engagement Measurement from Videos.
CoRR, 2021

Improving state-of-the-art in Detecting Student Engagement with Resnet and TCN Hybrid Network.
Proceedings of the 18th Conference on Robots and Vision, 2021


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