An invitation to 3-d vision: from images to geometric models Y Ma, S Soatto, J Kosecka, SS Sastry Springer Science & Business Media, 2012 | 2749* | 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 | 1426 | 2019 |
Dynamic textures G Doretto, A Chiuso, YN Wu, S Soatto International Journal of Computer Vision, 2003, 2003 | 1192 | 2003 |
Quick shift and kernel methods for mode seeking A Vedaldi, S Soatto Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 1186 | 2008 |
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 | 909 | 2009 |
Fda: Fourier domain adaptation for semantic segmentation Y Yang, S Soatto Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 871 | 2020 |
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 | 793 | 2017 |
A baseline for few-shot image classification GS Dhillon, P Chaudhari, A Ravichandran, S Soatto Intl. Conf. on Learning Representations (ICLR) 2020, 2019 | 647 | 2019 |
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 | 574 | 2011 |
Emergence of invariance and disentanglement in deep representations A Achille, S Soatto The Journal of Machine Learning Research 19 (1), 1947-1980, 2018 | 502 | 2018 |
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, 335-351, 2006 | 477 | 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 | 455 | 2002 |
Information dropout: Learning optimal representations through noisy computation A Achille, S Soatto IEEE transactions on pattern analysis and machine intelligence 40 (12), 2897 …, 2016 | 445 | 2016 |
Dynamic texture recognition P Saisan, G Doretto, YN Wu, S Soatto Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001 | 440 | 2001 |
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 | 410 | 2003 |
Motion estimation via dynamic vision S Soatto, R Frezza, P Perona IEEE Transactions on Automatic Control 41 (3), 393-413, 1996 | 406 | 1996 |
Dynamic textures S Soatto, G Doretto, YN Wu Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001 | 400 | 2001 |
A geometric approach to shape from defocus P Favaro, S Soatto IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (3), 406-417, 2005 | 392 | 2005 |
Motion competition: A variational approach to piecewise parametric motion segmentation D Cremers, S Soatto International Journal of Computer Vision 62, 249-265, 2005 | 350 | 2005 |
Stochastic Gradient Descent Performs Variational Inference, Converges to Limit Cycles for Deep Networks P Chaudhari, S Soatto International Conference on Learning Representations (ICLR), 2018 | 342 | 2018 |