SMART-BARN

Scalable Multimodal Arena for Real-time Tracking Behavior of Animals in laRge Numbers.

Science Advances 2023.

M Nagy, H Naik (co-first), F Kano, NV Carlson, JC Koblitz, M Wikelski, ID Couzin.

[Paper] [Dataset & Code]

3D-POP

An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture.

Computer Vision and Pattern Recognition (CVPR) 2023.

H Naik , A Chan(co-first), J Yang, M Delacoux, ID Couzin, F Kano, M Nagy.

[Paper] [Dataset] [Github]

Animals in Virtual Environments

IEEE Transactions on Visualization and Computer Graphics 2020

H Naik, R Bastian, N Navab, ID Couzin.

[Paper] [Detailed Video]

I-MuPPET: Interactive multi-pigeon pose estimation and tracking

DAGM German Conference on Pattern Recognition, 2022.

U Waldmann, H Naik, N Máté, F Kano, ID Couzin, O Deussen, B Goldlücke.

[Paper] [Dataset & Code]

Head-tracking of freely-behaving pigeons in a motion-capture system reveals the selective use of visual field regions

Scientific Reports 2022

F Kano, H Naik, G Keskin, ID Couzin, M Nagy

[Paper]

DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning

Elife 2019

JM Graving, D Chae, H Naik, L Li, B Koger, BR Costelloe, ID Couzin

[Paper]

Please see other my publications in behavior research, industrial augmented reality, and computer-assisted healthcare on my Google Scholar profile below.

ORCID ID 0000-0002-7627-1726