AI For Mankind Tech Talk: xBD Large Scale Satellite Imagery + Hotels50K datasets

AI for Mankind
AI for Mankind
Public group

Adobe Inc.

345 Park Avenue · San Jose, ca

How to find us

Please bring photo ID. Adobe will check ID.

Location image of event venue

Details

In this event, we will have

1) Bryce Goodman, Nirav Patel, and Jigar Doshi to present about

"The xView 2 Competition and xBD: a dataset for assessing building damage from satellite imagery"

xBD is a new large-scale dataset for the advancement of change detection and building damage assessment for humanitarian assistance and disaster recovery research. It contains ∼700,000 building annotations across over 5,000 km2 of imagery from 15 countries.

2) ) Jonathan Brandt, Adobe Fellow and the Director of the Media Intelligence Lab to present about

"Where in the world is this?
How visual search can help find victims of sex trafficking"

Agenda:

4:30 pm: Door Open

4:30 pm to 5:00 pm: Networking

5:00 pm to 6:00 pm: Presentation 1

6:00 pm to 7:00 pm: Presentation 2

7:00 pm to 8:00 pm: Networking

Speakers:

Bryce Goodman (https://www.brycegoodman.com/biography) is an experienced start-up founder/executive, speaker, and consultant in AI, ethics, and innovation. He currently serves as Entrepreneur in Residence at the Department of Defense’s Innovation Unit and oversees projects leveraging machine learning and internet of things to drive disruptive change. He is Senior Contributing Scientist and Innovation Fellow at the Environmental Defense Fund, on the faculty of Singularity University and a research associate at the University of Oxford’s Internet Institute, where his work has been featured in over a dozen publications including Wired, Bloomberg, and New Scientist. Checkout more Bryce's bio here https://www.brycegoodman.com/biography

Nirav Patel is a Geospatial Data Scientist & Project Manager for Defense Innovation Unit for the Space and AI/ML Portfolios. Nirav earned his PhD from George Mason University in Earth Systems and GeoInformation Sciences, and earned an MSc in Geography from the University of Florida in 2013. He earned BAs in Geography and Philosophy from the University of Florida from 2008 to 2011. His research was mainly focused on improving an open-source population mapping method for countries (for the WorldPop Project) and he has had the opportunity to do some work for NASA Langley Research Center and NASA Ames Research Center as well as the World Bank on geospatial and remote sensing projects. While completing his PhD he also worked for a private company called Dito on creating a line of business for Google Maps for enterprises, and spent some years as an executive there.

Jigar Doshi is a Head of Machine learning at CrowdAI, where he works on deep learning, computer vision and machine learning applied to satellite images. He also works on machine learning models that improve the annotation process. Over the years at CrowdAI he has published papers at top conferences like CVPR and NeurIPS (NIPS). His works have been covered by various press like Forbes, Venture Beat, TechCrunch.

Prior to joining CrowdAI, Jigar worked at IBM Research center in New York doing computer vision research on videos for tasks like activity recognition, classification, and re-identification. Before that, he was working on his Ph.D. at Georgia Tech building machine learning and computer vision models for humanoid robots. He earned his MS in Computer Science from Georgia Tech.

Jonathan Brandt is an Adobe Fellow and the Director of the Media Intelligence Lab at Adobe Research. His areas of research interest span a broad range of topics in computer vision, machine learning, and artificial intelligence. The Media Intelligence Lab is an interdisciplinary research team that contributes vision and imaging technologies across Adobe’s product line, including Photoshop, Lightroom, Photoshop Elements, Adobe Experience Manager, After Effects, Premiere Pro, and Adobe Stock.

Note:
Adobe will check ID. Provide your full name when register for the event.
Please check in at Almaden Tower Lobby. Limited parking in Adobe. Use carpool or find offsite parking lots. Another options are Caltrain and Amtrak.

Adobe Inc
151 Almaden Blvd,
San Jose, CA 95113