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Boris Chidlovskii
Also published under:B. Chidlovskii
Affiliation
Naver Labs Europe
Topic
Real Robot,Camera Pose,Depth Estimation,Imitation Learning,Optical Flow,Physical Robot,Robot Navigation,Shortest Path,Visual Observation,3D Scanning,Auxiliary Loss,Camera Intrinsics,Dead Reckoning,Deep Neural Network,Discrete Action,Hidden State,Image Pairs,Inductive Bias,Machine Learning,Monocular Depth Estimation,Navigation Task,Nonexpansive Mapping,Occupancy Map,Odometry,Path Planning,Privileged Information,Relative Pose,Scene Geometry,Scene Structure,Self-supervised Learning,Simulation Environment,Simulation Training,Trained Agent,Training Data,3D Density,3D Reconstruction,3D Scene,3D Space,3D Visualization,Absolute Position,Adjacent Frames,Agent Dynamics,Angular Space,Angular Velocity,Autonomous Vehicles,Benchmark Datasets,Binary Decision,Binary Image,Binocular,Bird’s Eye,
Biography
Boris Chidlovskii (Member, IEEE) received the M.S. degree in applied mathematics and the Ph.D. degree in computer science from Kiev State University, Ukraine, in 1984 and 1990, respectively. He was an Associate Professor with Kiev State University, an Invited Professor with Salerno University, Italy, before joining Xerox Research Center Europe, France, in 1996. Since 2017, he has been a Principal Scientist with Naver Labs Europe, Grenoble, France. He is the author or coauthor of more than 50 patents and 100 scientific articles in international journals and conference proceedings. His research interests include machine learning, data mining, recommendation systems, time–spatial modeling, intelligent transportation systems, deep learning, and computer vision.