Sharath C. Koorathota

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 8

Top Topics

Metadata Schemas

Convolutional Neural Networks

Emotion Recognition

Top Venues

IEEE Trans. Biomed. Eng.

Publications

Sharath C. Koorathota, Nikolas Papadopoulos, Jia Li Ma, Shruti Kumar, Xiaoxiao Sun, Arunesh Mittal, Patrick Adelman, Paul Sajda
Fixating on Attention: Integrating Human Eye Tracking into Vision Transformers. CoRR (2023)
Jia Li Ma, Sharath C. Koorathota, Paul Sajda
Neurophysiological Predictors of Self-Reported Difficulty in a Virtual-Reality Driving Scenario. EMBC (2023)
Sharath C. Koorathota, Zain Khan, Pawan Lapborisuth, Paul Sajda
Multimodal Neurophysiological Transformer for Emotion Recognition. EMBC (2022)
Kaveri A. Thakoor, Sharath C. Koorathota, Donald C. Hood, Paul Sajda
Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images. IEEE Trans. Biomed. Eng. 68 (8) (2021)
Sharath C. Koorathota, Patrick Adelman, Kelly Cotton, Paul Sajda
Editing Like Humans: A Contextual, Multimodal Framework for Automated Video Editing. CVPR Workshops (2021)
Sharath C. Koorathota, Arunesh Mittal, Richard P. Sloan, Paul Sajda
Improving Prediction of Cognitive Performance using Deep Neural Networks in Sparse Data. CoRR (2021)
Sharath C. Koorathota, Kaveri A. Thakoor, Patrick Adelman, Yaoli Mao, Xueqing Liu, Paul Sajda
Sequence Models in Eye Tracking: Predicting Pupil Diameter During Learning. ETRA Adjunct (2020)
Iddo Drori, Lu Liu, Yi Nian, Sharath C. Koorathota, Jie S. Li, Antonio Khalil Moretti, Juliana Freire, Madeleine Udell
AutoML using Metadata Language Embeddings. CoRR (2019)