Adrien Gaidon

Machine Learning Lead
Adrien Gaidon is currently the Machine Intelligence Lead and a Senior Research Scientist at the Toyota Research Institute (TRI) in Los Altos, CA, USA. He received his PhD from MSR-Inria Paris in 2012, was a post doctoral research scientist at Inria Grenoble in Cordelia Schmid's group, and a Research Scientist in the Computer Vision Group at Xerox Research Center Europe (XRCE). Before that, Adrien won the Pascal VOC 2008 challenge on object classification and detection. His work on Computer Vision and Machine Learning has led to 27 publications (patents and academic papers: https://scholar.google.com/citations?user=2StUgf4AAAAJ&hl=en), mostly in top international conferences and journals like CVPR, PAMI. Adrien's main research focus is on video understanding, especially action recognition, object detection and tracking, deep learning, and domain adaptation. His recent work on using virtual worlds and game engines to generate synthetic training and test data for deep learning was published at CVPR 2016 and 2017, and covered internationally in Wired, MIT Tech Review, and Forbes. Adrien recently co-organized the first international workshop on Virtual/Augmented Reality for Visual Artificial Intelligence (VARVAI) at ECCV 2016 & ACM-MM 2016 (http://adas.cvc.uab.es/varvai2016/), is a Guest Editor for the International Journal of Computer Vision (IJCV) Special Issue on "Synthetic Visual Data" (https://sites.google.com/site/ijcvsyntheticvisualdata/), and a reviewer for the major machine learning and computer vision conferences and journals. You can find him on linkedin (https://www.linkedin.com/in/adrien-gaidon-63ab2358/) and Twitter (@adnothing).   The Pop in your Job - What drives you? Whats your passion? Pushing the envelope of research in cutting edge artificial intelligence in directions that are useful for futuristic products (self-driving cars and home robots) that improve the quality of human life.

Toyota Research Institute

Toyota Research Institute Inc. (TRI) is an R&D enterprise with an initial focus on artificial intelligence and robotics. The headquarters is located in Silicon Valley near Stanford University in Los Altos, California. A second facility is located near the Massachusetts Institute of Technology (MIT) in Cambridge, Massachusetts. A third facility is located near the University of Michigan in Ann Arbor, Michigan. TRI has four initial mandates: First, we wish to enhance the safety of automobiles with the ultimate goal of creating a car that is incapable of causing a crash, regardless of the skill or condition of the driver. Second, we want to increase access to cars to those who otherwise cannot drive, including people with special needs and seniors. Third, we plan to help translate Toyota’s expertise in creating products for outdoor mobility into products for indoor mobility. In other words, Toyota’s goal is to move people across the room, across town, and across the country. Finally we hope to accelerate scientific discovery by applying techniques from artificial intelligence and machine learning particularly in the area of materials science.

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