| An invitation to 3-d vision: from images to geometric models Y Ma, S Soatto, J Kosecka, SS Sastry Springer Science & Business Media, 2012 | 2915 | 2012 |
| Meta-learning with differentiable convex optimization K Lee, S Maji, A Ravichandran, S Soatto Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1817 | 2019 |
| Quick shift and kernel methods for mode seeking A Vedaldi, S Soatto European conference on computer vision, 705-718, 2008 | 1356 | 2008 |
| Fda: Fourier domain adaptation for semantic segmentation Y Yang, S Soatto Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 1341 | 2020 |
| Dynamic textures G Doretto, A Chiuso, YN Wu, S Soatto International Journal of Computer Vision, 2003, 2003 | 1216 | 2003 |
| Entropy-sgd: Biasing gradient descent into wide valleys P Chaudhari, A Choromanska, S Soatto, Y LeCun, C Baldassi, C Borgs, ... Proc. of the Intl. Conf. on Learning Representations (ICLR), 2017 | 984 | 2017 |
| Class segmentation and object localization with superpixel neighborhoods B Fulkerson, A Vedaldi, S Soatto 2009 IEEE 12th international conference on computer vision, 670-677, 2009 | 949 | 2009 |
| A baseline for few-shot image classification GS Dhillon, P Chaudhari, A Ravichandran, S Soatto Intl. Conf. on Learning Representations (ICLR) 2020, 2019 | 829 | 2019 |
| Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Neural Networks A Golatkar, A Achille, S Soatto Intl. Conf. on Comp. Vis. and Patt. Recog. (CVPR), 2019 | 782* | 2019 |
| Emergence of invariance and disentanglement in deep representations A Achille, S Soatto The Journal of Machine Learning Research 19 (1), 1947-1980, 2018 | 656 | 2018 |
| Visual-inertial navigation, mapping and localization: A scalable real-time causal approach ES Jones, S Soatto The International Journal of Robotics Research 30 (4), 407-430, 2011 | 605 | 2011 |
| Information dropout: Learning optimal representations through noisy computation A Achille, S Soatto IEEE transactions on pattern analysis and machine intelligence 40 (12), 2897 …, 2016 | 556 | 2016 |
| Kernel density estimation and intrinsic alignment for shape priors in level set segmentation D Cremers, SJ Osher, S Soatto International journal of computer vision 69 (3), 335-351, 2006 | 483 | 2006 |
| Structure from motion causally integrated over time A Chiuso, P Favaro, H Jin, S Soatto IEEE transactions on pattern analysis and machine intelligence 24 (4), 523-535, 2002 | 464 | 2002 |
| Dynamic texture recognition P Saisan, G Doretto, YN Wu, S Soatto Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001 | 451 | 2001 |
| Task2vec: Task embedding for meta-learning A Achille, M Lam, R Tewari, A Ravichandran, S Maji, CC Fowlkes, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 443 | 2019 |
| An algebraic geometric approach to the identification of a class of linear hybrid systems R Vidal, S Soatto, Y Ma, S Sastry 42nd IEEE international conference on decision and control (IEEE Cat. No …, 2003 | 436 | 2003 |
| Motion estimation via dynamic vision S Soatto, R Frezza, P Perona IEEE Transactions on Automatic Control 41 (3), 393-413, 1996 | 414 | 1996 |
| A geometric approach to shape from defocus P Favaro, S Soatto IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (3), 406-417, 2005 | 411 | 2005 |
| Structured prediction as translation between augmented natural languages G Paolini, B Athiwaratkun, J Krone, J Ma, A Achille, R Anubhai, ... Proc. of the Intl. Conf. on Learning Representations (ICLR), also arXiv:2101 …, 2021 | 407 | 2021 |
Alessandro AchillePrincipal Applied Scientist, Amazon Web Services and CaltechVerified email at caltech.edu
