Poster Sessions

Poster Session #1 - Wednesday 5:00PM to 7:00PM

#1 - OCEAN SPY’s citizen annotation data

Catherine Borremans , IFREMER (Biology and Ecology of dEEP marine ecosystems Unit (BEEP)/Deep Sea Lab)

#3 - Towards Species-Level Detection of Caribbean Reef Fish

Levi Cai , WHOI

#5 - Addressing challenges in using object detection for small datasets of imagery with a data-centric approach

Caroline Chin , National Institute of Water and Atmospheric Research (NIWA), Wellington, New Zealand; Te Herenga Waka - Victoria University of Wellington, Wellington, New Zealand

Online - Marine Image Analysis with RootPainter

H. Poppy Clark , University of Aberdeen (online)

#7 - Advanced seagrass monitoring using automated image processing on underwater drones

Rod Connolly , Global Wetlands Project, Griffith University, Australia

#9 - High-Quality Underwater Imaging Data Achieved with Both Custom and Ready-Made Systems

Chad Collett , SubC Imaging

#11 - Emergency Response in Rocky Intertidal Ecosystems Using Drone Imagery: A MARINe Initiative

Karah Cox-Ammann , University of CA at Santa Cruz

#13 - Towards standardised reporting of macro-litter and biotic interactions from imagery

Jaime S Davies , University of Gibraltar

#15 - Object Detection of Benthic Morphospecies using Synthetic Data and Self-Training Domain Adaptation

Heather Doig , University of Sydney

#17 - Defining the target population to make marine image-based biological data FAIR

Jennifer M. Durden , National Oceanography Centre, Southampton, UK

#19 - Enabling Large Scale Coral Reef 3D Models with Accurate Color Representation using DeepSeeColor

Yogesh Girdhar , Woods Hole Oceanographic Institution

#21 - Returning to the Deep: Maximizing Insights from Deep-Sea Coral and Sponge Imagery from the U.S. Pacific Islands

Savannah Goode , Deep Sea Coral Research & Technology Program, NOAA

#23 - High-resolution multispectral imaging of deep sea corals

Irene Hu , MBARI

#25 - Exploring Oceans of Visual Data: Integrating Deep Learning Computer Vision and Information Visualization for Large-Scale Ecological Assessment of Cold-Water Coral Reefs

Daniel Langenkämper , 1. Biodata Mining Group, Faculty of Technology, Bielefeld University, Germany

#27 - Low-Cost Stereo Imaging for In Situ Particle Sinking Speed Measurement on Autonomous Platforms

Fernanda Lecaros , MBARI (Monterey Bay Aquarium Research Institute)

Online - Synthesize Large-scale in situ Images for Training Deep Plankton Detection Algorithms

Jianping Li, Claude , 1.Shenzhen Institute of Advanced Technology, CAS, Shenzhen, China; 2.University of CAS, Beijing, China. (online)

#29 - Tackling exponential increases in deep-sea video data: VARS + AI

Lonny Lundsten , Monterey Bay Aquarium Research Institute

#31 - Innovative Approaches to Great Lakes Benthic Mapping: Integrating AUV, ROV, and Drop Camera Data with Tator

Ayman Mabrouk , NOAA

#33 - BathyBot: The deep-sea crawler to see the unseen of the NW Mediterranean Sea

Séverine Martini , Mediterranean Institut of Oceanography (MIO)

#35 - Microscopy in Motion in the Deep Ocean

Thom Maughan , MBARI

#37 - Discovery of a mud-burrowing squid evidences the complex life-habits of abyssal Cephalopoda

Alejandra Mejia-Saenz , Interdisciplinary Centre of Marine and Environmental Research (CIIMAR), University of Porto, Matosinhos, Portugal

#39 - Deep-sea plastic debris detection using deep learning with a large scale image dataset

Takaki Nishio , Japan Agency for Marine-Earth Science and Technology (JAMSTEC)

#41 - Through their eyes: adaptations of hyperiid amphipod eyes for the midwater

Karen J. Osborn , Smithsonian National Museum of Natural History

#42 - Image curation in action – from the deep sea to the community

Sophie V. Schindler , ^1GEOMAR Helmholtz Centre for Ocean Research Kiel

#43 - Algorithmic construction of topologically complex biomineral lattices via cellular syncytia

Manu Prakash , Stanford University (BioE, Biology, Océans)

#45 - Applications of the YOLOv8 Computer Vision Model for Long-term Underwater Ecological Monitoring.

Talen Rimmer , Department of Biology, University of Victoria

#47 - Publicly available and freely accessible Imagery AI Training Data set repository

Errol Ronje, NOAA National Centers for Environmental Information

#49 - Understanding the Current State of Southern Ocean Benthic Ecosystems Using Deep Computer Vision

Cameron Trotter , British Antarctic Survey

#51 - Framing image preprocessing to build capacity and efficiency in benthic ecology

Loïc Van Audenhaege , Ocean BioGeosciences, National Oceanography Centre, European Way, Southampton, UK

#53 - Ocean Observatories Initiative Imaging Options and Expansion Capabilities

Michael F. Vardaro , University of Washington, School of Oceanography

Online - Imaging as an emergency need to understand jellyfish ecology and population dynamics along the coastal region of Kribi

Gisele Flodore Ghepdeu Youbouni , Specialized Research Station for Marine Ecosystems (online)