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Raja Bala
Also published under:R. Bala
Affiliation
Amazon Inc.
Topic
Training Data,Blood Vessels,Bounding Box,Contralateral,Convolutional Long Short-term Memory,Convolutional Neural Network,Deep Network,Feature Maps,Input Image,Local Homogeneity,RGB Images,Segmentation Branch,Segmentation Map,Segmentation Prediction,Vessel Segmentation,Vessel Structure,3D Blood Vessel,3D Body,3D Features,3D Mesh,3D Network,3D Rotation,3D Scanning,3D Segmentation,3D Shape,3D Volume,6-DoF Pose,6-DoF Pose Estimation,Adjacent Frames,Adjacent Slices,Adversarial Augmentation,Adversarial Examples,Anthropometric,Anthropomorphic Measurements,Atrous Spatial Pyramid Pooling,Average Error,Average Recall,Binary Encoding,Blood Vessel Segmentation,Blur Effect,Blurred Images,Body Mass Index,Body Model,Body Shape,Camera Motion,Challenging Dataset,Classification Task,Convolutional Network,Correlated Features,Cropped Images,
Biography
Raja Bala (M’10–SM’14) received the Ph.D. degree in
electrical engineering from Purdue University, West Lafayette, IN, USA, in 1992.
He is a Principal Imaging Scientist with the Palo Alto Research Center, Webster, NY, USA, where he is currently developing computer vision technologies for health and beauty applications. Previously he was with Samsung Research America, Richardson, TX, USA, where he developed computational imaging technologies for the Galaxy and Note smartphones. Prior to this he worked with Xerox Research, Webster, NY, USA, leading a variety of vision and imaging projects, including mobile document imaging, facial skin monitoring, driver attention monitoring, traffic anomaly detection and color management. He has served as an Adjunct Faculty in the School of Electrical Engineering, Rochester Institute of Technology, Rochester, NY, USA. He holds more than 100 publications and 150 patents in the field of digital imaging and computer vision. He is co-editor of the recent IEEE/Wiley book on the use of computer vision in transportation applications.
Dr. Bala is a Fellow of IS&T.
He is a Principal Imaging Scientist with the Palo Alto Research Center, Webster, NY, USA, where he is currently developing computer vision technologies for health and beauty applications. Previously he was with Samsung Research America, Richardson, TX, USA, where he developed computational imaging technologies for the Galaxy and Note smartphones. Prior to this he worked with Xerox Research, Webster, NY, USA, leading a variety of vision and imaging projects, including mobile document imaging, facial skin monitoring, driver attention monitoring, traffic anomaly detection and color management. He has served as an Adjunct Faculty in the School of Electrical Engineering, Rochester Institute of Technology, Rochester, NY, USA. He holds more than 100 publications and 150 patents in the field of digital imaging and computer vision. He is co-editor of the recent IEEE/Wiley book on the use of computer vision in transportation applications.
Dr. Bala is a Fellow of IS&T.