58 citations · 71 across the 6 of their papers we have counts for
6 papers
CHIRP dataset: towards long-term, individual-level, behavioral monitoring of bird populations in the wild
Alex Hoi Hang Chan, Neha Singhal, Onur Kocahan +6
Long-term behavioral monitoring of individual animals is crucial for studying behavioral changes that occur over different time scales, especially for conservation and evolutionary…
Towards Application-Specific Evaluation of Vision Models: Case Studies in Ecology and Biology
Alex Hoi Hang Chan, Otto Brookes, Urs Waldmann +11
Computer vision methods have demonstrated considerable potential to streamline ecological and biological workflows, with a growing number of datasets and models becoming available…
BuckTales : A multi-UAV dataset for multi-object tracking and re-identification of wild antelopes
Hemal Naik, Junran Yang, Dipin Das +3
Understanding animal behaviour is central to predicting, understanding, and mitigating impacts of natural and anthropogenic changes on animal populations and ecosystems. However, t…
3D-MuPPET: 3D Multi-Pigeon Pose Estimation and Tracking
Urs Waldmann, Alex Hoi Hang Chan, Hemal Naik +5
Markerless methods for animal posture tracking have been rapidly developing recently, but frameworks and benchmarks for tracking large animal groups in 3D are still lacking. To ove…
3D-POP -- An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture
Hemal Naik, Alex Hoi Hang Chan, Junran Yang +4
Recent advances in machine learning and computer vision are revolutionizing the field of animal behavior by enabling researchers to track the poses and locations of freely moving a…
Animals in Virtual Environments
Hemal Naik, Renaud Bastien, Nassir Navab +1
The core idea in an XR (VR/MR/AR) application is to digitally stimulate one or more sensory systems (e.g. visual, auditory, olfactory) of the human user in an interactive way to ac…