Introduction and Welcome
Stefan Schneider, Sara Beery, and Jason Parham (Organizers)
Introduction to Machine Learning / Deep Learning for Ecologists
Graham Taylor, University of Guelph; Vector Institute for Artificial Intelligence
Similarity Comparison Networks for Animal Re-Identification
Stefan Schneider, University of Guelph
Animal Re-Identification from Camera Trap Images: Can We Deal with Low-Quality Data?
Sara Beery, Caltech Computer Vision; Google Research
Four Frontiers in Animal Biometrics - (Remote live presentation)
Tilo Burghardt, University of Bristol
Learning Landmark Guided Embeddings for Animal Re-Identification - (Video)
Olga Moskvyak, Queensland University of Technology
Siamese Network Pelage Pattern Matching for Ringed Seal Re-Identification - (Video)
Ekaterina Nepovinnykh, LUT University
WildMe: The Future of Animal Re-ID Databases
Jason Parham, WildMe/Rensselaer Polytechnic Institute
CAFM: A 3D Morphable Model for Animals - (Video)
Yifan Suan, WASEDA University
Sloop System with Deep Learning - (Video)
Sai Ravela, MIT
Extracting identifying contours for African elephants and humpback whales using a learned appearance model, Hendrik Weideman*, Chuck Stewart, Jason Parham, Jason Holmberg, Kiirsten Flynn, John Calambokidis, D. Barry Paul, Anka Bedetti, Michelle Henley, Frank Pope, Jerenimo Lepirei
Re-Identification of Zebrafish using Metric Learning, Joakim Bruslund Haurum*, Anastasija Karpova, Malte Pedersen, Stefan Hein Bengtson, Thomas B. Moeslund
Fusing Animal Biometrics with Autonomous Robotics: Drone-based Search and Individual ID of Friesian Cattle, William Andrew*, Colin Greatwood; Tilo Burghardt
Bumblebee Re-Identification Dataset, Frederic Tausch*, Simon Stock, Julian Fricke, Olaf Klein
Similarity Learning Networks for Animal Individual Re-Identification - Beyond the Capabilities of a Human Observer, Stefan C Schneider*, Stefan Kremer, Graham Taylor
73 Wood Rd, Snowmass Village, CO 81615
Take the free SkyCab gondola from the Westin down to Base Camp Bar and Grill! It runs until 9pm