| Fractalnet: Ultra-deep neural networks without residuals G Larsson, M Maire, G Shakhnarovich ICLR, 2016 | 1290 | 2016 |
| Learning representations for automatic colorization G Larsson, M Maire, G Shakhnarovich ECCV, 2016 | 1238 | 2016 |
| Colorization as a Proxy Task for Visual Understanding G Larsson, M Maire, G Shakhnarovich CVPR, 2017 | 598 | 2017 |
| Self-Supervised Relative Depth Learning for Urban Scene Understanding H Jiang, E Learned-Miller, G Larsson, M Maire, G Shakhnarovich ECCV, 2018 | 102 | 2018 |
| Evaluation methodology of eye movement classification algorithms G Larsson M.Sc. thesis, KTH, 2010 | 9 | 2010 |
| Discovery of Visual Semantics by Unsupervised and Self-Supervised Representation Learning G Larsson Ph.D. thesis, 2017 | 5 | 2017 |
| Machine learning assisted image prediction CE Guestrin, LA Gatys, SV Joshi, GM Larsson, KR Watson, S Sridhar, ... US Patent 11386355B2, 2022 | | 2022 |
| Object Detection with CAD-trained Statistical Models G Larsson M.Sc. thesis, University of Chicago, 2014 | | 2014 |
Greg ShakhnarovichProfessor, TTI-ChicagoDirección de correo verificada de ttic.edu
