May 29, 2022
Gilles Puy, Valeo.ai Lidar sensors deliver rich information about the 3D world, and making sense of this kind of information is crucial for an autonomous driving vehicle to properly act in its environment. I will briefly describe some of the 3D perception tasks we tackle at valeo.ai and then concentrate on one of our latest contributions which improves the annotation efficiency for semantic segmentation and object detection in sparse Lidar point clouds. This technique leverages synchronized and calibrated image and Lidar sensors in autonomous driving setups to distill self-supervised pre-trained 2D image representations into 3D models.
Machines can learn. Incredibly fast. Faster than you. They are getting smarter and smarter every day. They are already changing your world, your business and your life. Artificial intelligence revolution is here. Come and learn how to turn this threat into your biggest opportunity. This is not another academic conference. Our goal is to foster discussion between machine learning practitioners and all people who are interested in applications of modern trends in artificial intelligence. You can look forward to inspiring people, algorithms, data, applications, workshops and a lot of fun during three days as well as at two great parties.
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