| Mobilenets: Efficient convolutional neural networks for mobile vision applications AG Howard arXiv preprint arXiv:1704.04861, 2017 | 29160 | 2017 |
| MobileNets: efficient convolutional neural networks for mobile vision applications (2017) AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861 126, 2017 | 779 | 2017 |
| Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint (2017) AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861, 2017 | 232 | 2017 |
| Mobilenets: E cient convolutional neural networks for mobile vision applications AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861 2, 2017 | 104 | 2017 |
| 3d reconstruction by shadow carving: Theory and practical evaluation S Savarese, M Andreetto, H Rushmeier, F Bernardini, P Perona International journal of computer vision 71, 305-336, 2007 | 95 | 2007 |
| Automatic 3D modeling of textured cultural heritage objects M Andreetto, N Brusco, GM Cortelazzo IEEE Transactions on Image Processing 13 (3), 354-369, 2004 | 85 | 2004 |
| Caltech 101 FF Li, M Andreeto, M Ranzato, P Perona CaltechDATA: Pasadena, CA, USA, 2022 | 81 | 2022 |
| 3D registration by textured spin-images M Brusco, M Andreetto, A Giorgi, GM Cortelazzo Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05 …, 2005 | 64 | 2005 |
| Efficient convolutional neural networks and techniques to reduce associated computational costs AG Howard, B Chen, D Kalenichenko, TC Weyand, M Zhu, M Andreetto, ... US Patent 11,157,814, 2021 | 60 | 2021 |
| Mobilenets: Efficient convolutional neural networks for mobile vision applications, CoRR abs/1704.04861 AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861 735, 2017 | 55 | 2017 |
| Marc’Aurelio Ranzato, and Pietro Perona FF Li, M Andreeto Caltech 101 (13), 4, 2022 | 53 | 2022 |
| Mobilenets: effificient convolutional neural networks for mobile vision applications. arXiv 2017 AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861, 2017 | 46 | 2017 |
| Non-parametric probabilistic image segmentation M Andreetto, L Zelnik-Manor, P Perona 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 37 | 2007 |
| Unsupervised learning of categorical segments in image collections M Andreetto, L Zelnik-Manor, P Perona IEEE transactions on pattern analysis and machine intelligence 34 (9), 1842-1855, 2011 | 22 | 2011 |
| Metrological validation for 3D modeling of dental plaster casts N Brusco, M Andreetto, L Lucchese, S Carmignato, GM Cortelazzo Medical engineering & physics 29 (9), 954-966, 2007 | 22 | 2007 |
| Imagen 3 J Baldridge, J Bauer, M Bhutani, N Brichtova, A Bunner, K Chan, Y Chen, ... arXiv preprint arXiv:2408.07009, 2024 | 16 | 2024 |
| Frequency domain registration of computer tomography data M Andreetto, GM Cortelazzo, L Lucchese Proceedings. 2nd International Symposium on 3D Data Processing …, 2004 | 16 | 2004 |
| Caltech101 image dataset FF Li, M Andreetto, MA Ranzato CalTech Report, 2003 | 14 | 2003 |
| Determining location information for images using landmark, caption, and metadata location data F Bandukwala, H Adam, J Flynn, K Sikora, M Andreetto, AJ Preetham US Patent 9,069,794, 2015 | 13 | 2015 |
| Automatic 3D modelling of palatal plaster casts M Andreetto, N Brusco, GM Cortelazzo Fourth International Conference on 3-D Digital Imaging and Modeling, 2003 …, 2003 | 12 | 2003 |
Menglong ZhuDirector of Machine Learning, DJIDirección de correo verificada de dji.com
