James O'Reilly

Affiliations:
  • University of South Carolina, Department of Computer Science & Engineering, Columbia, SC, USA


According to our database1, James O'Reilly authored at least 11 papers between 2017 and 2023.

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

Timeline

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Links

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Bibliography

2023
Probabilistic Attribute Tree Structured Convolutional Neural Networks for Facial Expression Recognition in the Wild.
IEEE Trans. Affect. Comput., 2023

2021
Identity-Free Facial Expression Recognition Using Conditional Generative Adversarial Network.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2019
Identity-Free Facial Expression Recognition using conditional Generative Adversarial Network.
CoRR, 2019

A Novel Remote Eye Gaze Tracking System Using Line Illumination Sources.
Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

Feature-Level and Model-Level Audiovisual Fusion for Emotion Recognition in the Wild.
Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

Pooling Map Adaptation in Convolutional Neural Network for Facial Expression Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018
Probabilistic Attribute Tree in Convolutional Neural Networks for Facial Expression Recognition.
CoRR, 2018

Group-Level Emotion Recognition using Deep Models with A Four-stream Hybrid Network.
Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

Island Loss for Learning Discriminative Features in Facial Expression Recognition.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition.
CoRR, 2017


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