Shreshth Saxena

[Translate to English:] Shreshth Saxena

Research Areas

  • Remote and portable methods of eye tracking for large scale in-the-wild studies
  • Relationship of eye movements to spatiotemporal attention in the context of music listening
  • Deep generative models for audio and visual data

Vita

Academic Education

2017–2019

Master of Science in Computer Science, First Division, University of Delhi, India. Master Thesis: “Predicting Stock Market Indices using Recurrent Neural Network architectures”

2014–2017Bachelor of Science (hons.) in Computer Science, First Division, University of Delhi, India

Professional Experience

Since 2022PhD candidate, Department of Psychology, Neuroscience & Behaviour, Faculty of Science, McMaster University, Canada
Since 2022Visiting Researcher, Max Planck Institute for Empirical Aesthetics, Frankfurt am Main
2021–2022

PhD candidate, Music Department, Max Planck Institute for Empirical Aesthetics, Frankfurt am Main

2019–2021Computer Vision Researcher, Fitivity Inc
2019

Data Science Intern at Cvision.ai (now Inspektlabs)

Publications

Publications

Saxena, S., Lange, E. B., & Fink, L. (2022). Towards efficient calibration for webcam eye-tracking in online experiments. In Proceedings ETRA 2022: ACM Symposium on Eye Tracking Research and Applications (pp. 1-7). doi:10.1145/3517031.3529645.

Projects

  • Music and Eye-Tracking

    Tracking gaze, pupil, and blinking is important to understand attentional processes in the visual domain. For example, it has long been shown that visual-spatial attention is strongly coupled with gaze (but can be de-coupled in the case of covert ...

Contact

Shreshth Saxena

Alumni

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