Scholar
Harish Katti
Google Scholar ID: Cja9MMgAAAAJ
National Institutes of Health (NIMH/NIH)
multimedia
computer vision
vision research
human computer interaction
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
651
H-index
13
i10-index
14
Publications
20
Co-authors
24
list available
Contact
Email
harish2006@gmail.com
GitHub
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LinkedIn
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Publications
4 items
Hierarchic-EEG2Text: Assessing EEG-To-Text Decoding across Hierarchical Abstraction Levels
2026
Cited
0
UnCageNet: Tracking and Pose Estimation of Caged Animal
2025
Cited
0
STEP: Simultaneous Tracking and Estimation of Pose for Animals and Humans
2025
Cited
0
L3D-Pose: Lifting Pose for 3D Avatars from a Single Camera in the Wild
2025
Cited
0
Resume (English only)
Academic Achievements
Published in Nature Communications (2021) on qualitative similarities/differences in object representations between brains and deep networks
Published in Journal of Vision (2019) on systematic representational differences between humans and machines in face classification
Published in Scientific Reports (2019) on how human contextual expectations benefit machine vision
Oral presentation at SfN 2018 on compositionality and CAPTCHA decoding in monkey IT neurons
Oral presentation at VSS 2018 comparing perception in deep networks and humans
Published in Attention, Perception, & Psychophysics (2017) on real-world object detection influenced by targets, nontargets, and scene context
Multiple publications at ECCV, IEEE ICME, etc., on visual saliency and eye-fixation datasets (e.g., NUSEF, NUS3D-Saliency)
Many papers accompanied by open-source code and datasets (e.g., on GitHub)
Background
Curious about how the brain solves vision
Uses visual psychophysics, computational models, and neural recordings to study visual processing
Excited about the mutual benefits between understanding human vision and machine vision
Currently part of the Systems Neurodevelopment Laboratory (SNL) at NIMH/NIH
Previously affiliated with the Laboratory for Neuropsychology (LN) and Laboratory for Brain and Cognition (LBC)
Co-authors
24 total
Co-author 1
Co-author 2
Ramanathan Subramanian
Associate Professor, University of Canberra
Co-author 4
Tat-Seng Chua
National University of Singapore
Co-author 6
Co-author 7
Abhinav Shukla
Applied Scientist, Amazon Robotics
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