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Biometric applications of CNNs: get a job at "Impending Technologies"!
Sergio Escalera · Isabelle Guyon · Baiyu Chen · Marc Quintana · Umut Güçlü · Yağmur Güçlütürk · Xavier Baró · Rob van Lier · Carlos Andujar · Marcel A. J. van Gerven · Bernhard E Boser · Luke Wang

Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5 + 6 + 7 + 8

We show applications of convolutional neural networks to analyze human "imprints", ranging from personality traits to fingerprints.

You have passed all the technical pre-requisites to join "Impending Technologies", a very successful startup, this is your dream job. But wait, now you are asked to be fingerprinted and must go through personality tests to demonstrate "good character". You donate your fingerprint, then you are asked by a friendly avatar to present yourself for 15 seconds in front of a camera. You wait nervously for the outcome of your background check and the analysis of your personality traits. The friendly avatar lets you know that YES, you made it, you have been hired! Now you want to consult your personality trait analysis. We protect your privacy: to access it you must identify yourself with your fingerprint!

Author Information

Sergio Escalera (University of Barcelona and Computer Vision Center)

Sergio Escalera obtained the P.h.D. degree on Multi-class visual categorization systems at Computer Vision Center, UAB. He obtained the 2008 best Thesis award on Computer Science at Universitat Autònoma de Barcelona. He leads the Human Pose Recovery and Behavior Analysis Group at UB, CVC, and the Barcelona Graduate School of Mathematics. He is an associate professor at the Department of Mathematics and Informatics, Universitat de Barcelona. He is an adjunct professor at Universitat Oberta de Catalunya, Aalborg University, and Dalhousie University. He has been visiting professor at TU Delft and Aalborg Universities. He is a member of the Visual and Computational Learning consolidated research group of Catalonia. He is also a member of the Computer Vision Center at Campus UAB. He is Editor-in-Chief of American Journal of Intelligent Systems and editorial board member of more than 5 international journals. He is advisor, director, and vice-president of ChaLearn Challenges in Machine Learning, leading ChaLearn Looking at People events. He is co-founder of PhysicalTech and Care Respite companies. He is also member of the AERFAI Spanish Association on Pattern Recognition, ACIA Catalan Association of Artificial Intelligence, and he is vice-chair of IAPR TC-12: Multimedia and visual information systems. He has different patents and registered models. He has published more than 150 research papers and participated in the organization of scientific events, including CCIA04, CCIA14, ICCV11, AMDO2016, FG2017, and workshops at ICCV11, ICMI13, ECCV14, CVPR15, ICCV15, CVPR16, ECCV16, ICPR16, NIPS16. He has been guest editor at JMLR, TPAMI, IJCV, TAC, and Neural Comp. and App. He has been area chair at WACV16, NIPS16, and FG17. His research interests include, between others, statistical pattern recognition, visual object recognition, and HCI systems, with special interest in human pose recovery and behavior analysis from multi-modal data.

Isabelle Guyon (Google and ChaLearn)

Isabelle Guyon recently joined Google Brain as a research scientist. She is also professor of artificial intelligence at Université Paris-Saclay (Orsay). Her areas of expertise include computer vision, bioinformatics, and power systems. She is best known for being a co-inventor of Support Vector Machines. Her recent interests are in automated machine learning, meta-learning, and data-centric AI. She has been a strong promoter of challenges and benchmarks, and is president of ChaLearn, a non-profit dedicated to organizing machine learning challenges. She is community lead of Codalab competitions, a challenge platform used both in academia and industry. She co-organized the “Challenges in Machine Learning Workshop” @ NeurIPS between 2014 and 2019, launched the "NeurIPS challenge track" in 2017 while she was general chair, and pushed the creation of the "NeurIPS datasets and benchmark track" in 2021, as a NeurIPS board member.

Baiyu Chen (University of California Berkeley)
Marc Quintana (Universitat Politècnica de Catalunya)
Umut Güçlü (Donders Institute for Brain, Cognition and Behaviour, Radboud University)
Yağmur Güçlütürk (Donders Institute for Brain, Cognition and Behaviour, Radboud University)
Xavier Baró (Universitat Oberta de Catalunya)
Rob van Lier (Donders Institute for Brain, Cognition and Behaviour, Radboud University)
Carlos Andujar (Universitat Politècnica de Catalunya)
Marcel A. J. van Gerven (Radboud Universiteit)
Bernhard E Boser (UC Berkeley)
Luke Wang (UC Berkeley)

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