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  • Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, Li Fei-Fei
  • Computer Science
  • IEEE Conference on Computer Vision and Pattern…
  • 2014 (First Publication: 23 June 2014)
  • Convolutional Neural Networks (CNNs) have been established as a powerful class of models for image recognition problems. Encouraged by these results, we provide an extensive empirical evaluation ofContinue Reading
  • Joe Yue-Hei Ng, Matthew J. Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga, George Toderici
  • Computer Science
  • IEEE Conference on Computer Vision and Pattern…
  • 2015 (First Publication: 30 March 2015)
  • Convolutional neural networks (CNNs) have been extensively applied for image recognition problems giving state-of-the-art results on recognition, detection, segmentation and retrieval. In this workContinue Reading
  • Ioannis A. Kakadiaris, Georgios Passalis, +4 authors Theoharis Theoharis
  • Computer Science, Medicine
  • IEEE Transactions on Pattern Analysis and Machine…
  • 2007 (First Publication: 1 April 2007)
  • In this paper, we present the computational tools and a hardware prototype for 3D face recognition. Full automation is provided through the use of advanced multistage alignment algorithms, resilienceContinue Reading
  • Nick Johnston, Damien Vincent, +6 authors George Toderici
  • Computer Science
  • IEEE/CVF Conference on Computer Vision and…
  • 2018 (First Publication: 29 March 2017)
  • We propose a method for lossy image compression based on recurrent, convolutional neural networks that outperforms BPG (4:2:0), WebP, JPEG2000, and JPEG as measured by MS-SSIM. We introduce threeContinue Reading
  • Ioannis A. Kakadiaris, Georgios Passalis, Theoharis Theoharis, George Toderici, Ioannis Konstantinidis, Mohammed N. Murtuza
  • Computer Science
  • IEEE Computer Society Conference on Computer…
  • 2005 (First Publication: 20 June 2005)
  • It is becoming increasingly important to be able to credential and identify authorized personnel at key points of entry. Such identity management systems commonly employ biometric identifiers. InContinue Reading