All times are given in EDT.
All invited talks and presentations are in-person, unless otherwise specified.
A downloadable program is available here.
9:00-9:10 Welcome and Introduction Alexandra Branzan Albu
9:10-10:10 INVITED TALK: Machine Learning and AI for Underwater Imagery Analysis: a benthic ecologist’s perspective. Filippo Ferrario, Fisheries and Oceans Canada
10:10-10:30 Coffee break
10:30-11:50 Technical talks
10:30-10:50 Automatic Evaluation of Herding Behaviour in towed fishing gear using end-to-end training of CNN and attention-based networks Orri Steinn Guðfinnsson
10:50-11:10 (virtual) Repeatability Evaluation of Keypoint Detection Techniques in Tracking Underwater Video Frames Ghulam Sakhi Shokouh
11:10-11:30 Underwater Fish Tracking-by-Detection: An Adaptive Tracking Approach Divya Velayudhan
11:30-11:50 From TrashCan to UNO: Deriving an Underwater Image Dataset To Get a More Consistent and Balanced Version Cyril Barrelet
11:50-13:30 Lunch (on your own)
13:30-14:30 INVITED TALK: Enabling Ecologically Curious Robots for Monitoring Coral Reefs Yogesh Girdhar, Woods Hole Oceanographic Institution
Technical talks
14:30-14:50 Separating Particles from Plankton Images Nina S. T. Hirata
14:50-15:10 Automated Blue Whale Photo-Identification Using Local Feature Matching Marc Lalonde
15:10-15:30 Towards Depth Fusion into Object Detectors for Improved Benthic Species Classification Matthew Dawkins
15:30-16:00 Coffee Break
16:00-16:20 Toward Data-Driven Glare Classification and Prediction for Marine Megafauna Survey Joshua Power
16:20-16:30 Closing Remarks Alexandra Branzan Albu
