Sharath C. Koorathota

According to our database, Sharath C. Koorathota authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

EEG-estimated functional connectivity, and not behavior, differentiates Parkinson's patients from health controls during the Simon conflict task.

Xiaoxiao Sun, Chongkun Zhao, Sharath C. Koorathota, Paul Sajda

CoRR, 2024

Gaze-Informed Vision Transformers: Predicting Driving Decisions Under Uncertainty.

Sharath C. Koorathota, Nikolas Papadopoulos, Jia Li Ma, Shruti Kumar, Xiaoxiao Sun, Arunesh Mittal, Patrick Adelman, Paul Sajda

Proceedings of the Companion Proceedings of the 26th International Conference on Multimodal Interaction, 2024

2023

Multimodal deep learning systems for analysis of human behavior, preference, and state

Sharath C. Koorathota

PhD thesis, 2023

Fixating on Attention: Integrating Human Eye Tracking into Vision Transformers.

Sharath C. Koorathota, Nikolas Papadopoulos, Jia Li Ma, Shruti Kumar, Xiaoxiao Sun, Arunesh Mittal, Patrick Adelman, Paul Sajda

CoRR, 2023

Neurophysiological Predictors of Self-Reported Difficulty in a Virtual-Reality Driving Scenario.

Jia Li Ma, Sharath C. Koorathota, Paul Sajda

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images.

Kaveri A. Thakoor, Sharath C. Koorathota, Donald C. Hood, Paul Sajda

Dataset, May, 2022

Multimodal Neurophysiological Transformer for Emotion Recognition.

Sharath C. Koorathota, Zain Khan, Pawan Lapborisuth, Paul Sajda

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images.

Kaveri A. Thakoor, Sharath C. Koorathota, Donald C. Hood, Paul Sajda

IEEE Trans. Biomed. Eng., 2021

Improving Prediction of Cognitive Performance using Deep Neural Networks in Sparse Data.

Sharath C. Koorathota, Arunesh Mittal, Richard P. Sloan, Paul Sajda

CoRR, 2021

Editing Like Humans: A Contextual, Multimodal Framework for Automated Video Editing.

Sharath C. Koorathota, Patrick Adelman, Kelly Cotton, Paul Sajda

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Sequence Models in Eye Tracking: Predicting Pupil Diameter During Learning.

Sharath C. Koorathota, Kaveri A. Thakoor, Patrick Adelman, Yaoli Mao, Xueqing Liu, Paul Sajda

Proceedings of the ETRA '20 Adjunct: 2020 Symposium on Eye Tracking Research and Applications, 2020

2019

AutoML using Metadata Language Embeddings.

Iddo Drori, Lu Liu, Yi Nian, Sharath C. Koorathota, Jie S. Li, Antonio Khalil Moretti, Juliana Freire, Madeleine Udell

CoRR, 2019