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Narendra Ahuja
Also published under:N. Ahuja
Affiliation
University of Illinois Urbana-Champaign
Topic
Data Augmentation,Long Short-term Memory,Neural Network,2D Images,2D Segmentation,3D Convolution,3D Coordinates,3D Field,3D Scene,3D Segmentation,3D Space,Acoustic Cues,Action Recognition,Adam Optimizer,Aperiodic,Audio Data,Audio Files,Background Regions,Bidirectional Long Short-term Memory,Blinded Study,Breath Sounds,Breathing Cycle,COCO Dataset,COVID-19 Detection,COVID-19 Diagnosis,COVID-19 Status,Camera Position,Capture Device,Computational Efficiency,Convolutional Layers,Convolutional Neural Network,Cross-entropy,Data Augmentation Methods,Data Visualization,Deep Neural Network,Denoising,Dot Product,Dynamic Network,Dynamic Neural Network,Fine-tuned,Foundation Model,Frequency Components,Fully-connected Layer,Further Processing Of Data,Gesture Classification,Gesture Recognition,Gesture Types,Hand Gesture Recognition,Hand Gestures,Human-machine Interaction,
Biography
Narendra Ahuja (F'92) received the B.E. (Hons.) degree in electronics engineering from the Birla Institute of Technology and Science, Pilani, India, in 1972, the M.E. degree with distinction in electrical communication engineering from the Indian Institute of Science, Bangalore, India, in 1974, and the Ph.D. degree in computer science from the University of Maryland, College Park, MD, USA, in 1979. From 1974 to 1975, he was a Scientific Officer with the Department of Electronics, Government of India, New Delhi, India. From 1975 to 1979, he was with the Computer Vision Laboratory, University of Maryland. Since 1979, he has been with the University of Illinois at Urbana-Champaign, Urbana, IL, USA, where he is currently a Donald Biggar Willet Professor with the Department of Electrical and Computer Engineering, Beckman Institute, Urbana, and the Coordinated Science Laboratory. His current research interests include extraction and representation of spatial structure in images and video, integrated use of multiple image-based sources for scene representation and recognition, versatile sensors for computer vision; and applications including visual communication, image manipulation, and information retrieval. He is a fellow of ACM, AAAI, AAAS, IAPR, and SPIE.