35 citations · 85 across the 5 of their papers we have counts for
5 papers
FathomNet: A global image database for enabling artificial intelligence in the ocean
Kakani Katija, Eric Orenstein, Brian Schlining +8
The ocean is experiencing unprecedented rapid change, and visually monitoring marine biota at the spatiotemporal scales needed for responsible stewardship is a formidable task. As…
Generating Physically-Consistent Satellite Imagery for Climate Visualizations
Björn Lütjens, Brandon Leshchinskiy, Océane Boulais +11
Deep generative vision models are now able to synthesize realistic-looking satellite imagery. But, the possibility of hallucinations prevents their adoption for risk-sensitive appl…
Physics-informed GANs for Coastal Flood Visualization
Björn Lütjens, Brandon Leshchinskiy, Christian Requena-Mesa +8
As climate change increases the intensity of natural disasters, society needs better tools for adaptation. Floods, for example, are the most frequent natural disaster, but during h…
Interpolating GANs to Scaffold Autotelic Creativity
Ziv Epstein, Océane Boulais, Skylar Gordon +1
The latent space modeled by generative adversarial networks (GANs) represents a large possibility space. By interpolating categories generated by GANs, it is possible to create nov…
FathomNet: An underwater image training database for ocean exploration and discovery
Océane Boulais, Ben Woodward, Brian Schlining +4
Thousands of hours of marine video data are collected annually from remotely operated vehicles (ROVs) and other underwater assets. However, current manual methods of analysis imped…