Stefan Schneider is a PhD at the University of Guelph, ON, Canada focused primarily on using one-shot learning for animal re-identification. His research focuses on humans, chimpanzees, whales, fruit flies and octopus.
Sara Beery is a PhD Student at Caltech, CA, United States focused on using computer vision to improve biodiversity monitoring at a global scale. Her research focuses mainly on species recognition in challenging real-world data streams, generalizing to new camera locations, species, and regions of the world.
Jason Parham received his B.S. in Computer Science / Mathematics from Pepperdine University in Malibu, CA in 2008 and holds a 2015 M.S. in Computer Science from RPI in Troy, NY. Jason is finishing his Ph.D. under the advising of Dr. Charles Stewart in the Computer Vision research group at RPI. His research focuses on object detection and classification, using deep learning on wildlife imagery, to power photographic censusing. Jason is a co-developer of Wildbook‘s Image Analysis components, which are used to monitor animal populations in conservancies around Kenya and which integrate with the Wildbook data management platform. o
Graham Taylor is a Canada Research Chair and Associate Professor of Engineering at the University of Guelph. He directs the University of Guelph Centre for Advancing Responsible and Ethical AI and is a member of the Vector Institute for AI. He has co-organized the annual CIFAR Deep Learning Summer School, and trained more than 60 students and researchers on AI-related projects. In 2016 he was named as one of 18 inaugural CIFAR Azrieli Global Scholars. In 2018 he was honoured as one of Canada's Top 40 under 40. In 2019 he was named a Canada CIFAR AI Chair. He spent 2018-2019 as a Visiting Faculty member at Google Brain, Montreal.
Tilo graduated with Distinction in Media Computing at Dresden University of Technology (Germany). Subsequently, he received an MSc in Advanced Computing and PhD in Computer Vision from the University of Bristol (UK). After initial post-doctoral research at the School of Physics, he became employed as a Lecturer and then Senior Lecturer at the Visual Information Laboratory and the Intelligent Systems Laboratory at the University of Bristol. Currently Tilo is Associate Editor of IET Computer Vision. He is a member of the British Machine Vision Association (BMVA) and the German Academic Foundation (Studienstiftung des Deutschen Volkes). Tilo has been a local organizer for the 23rd European Conference of Machine Learning (ECML-PKDD). He has been a chair of the 24th British Machine Vision Conference (BMVC). Dr Tilo Burghardt's research focuses on applied computer vision and animal biometrics. His interests include the robust visual detection and identification in unconstrained environments. He contributed to establishing animal biometrics as an emerging cross-discipline routed in pattern recognition and computer vision. Tilo's enthusiasm for computer science and vision is reflected in his dedication to teaching the subject. In 2018 he received the University of Bristol 'Award for Education' for his educational contributions to the Engineering Faculty.