Articles with public access mandates - Stefano SoattoLearn more
Not available anywhere: 2
Detecting occlusions as an inverse problem
V Estellers, S Soatto
Journal of Mathematical Imaging and Vision 54, 181-198, 2016
Mandates: Swiss National Science Foundation
Adaptive Discretizations for Non-smooth Variational Vision
V Estellers, S Soatto
Scale Space and Variational Methods in Computer Vision: 6th International …, 2017
Mandates: US National Science Foundation, Swiss National Science Foundation, US …
Available somewhere: 67
Fda: Fourier domain adaptation for semantic segmentation
Y Yang, S Soatto
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Mandates: US Department of Defense
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
Mandates: US Department of Defense
Emergence of invariance and disentanglement in deep representations
A Achille, S Soatto
The Journal of Machine Learning Research 19 (1), 1947-1980, 2018
Mandates: US Department of Defense
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
Mandates: German Research Foundation
Critical learning periods in deep networks
A Achille, M Rovere, S Soatto
International Conference on Learning Representations, 2018
Mandates: US Department of Defense
Shape from defocus via diffusion
P Favaro, S Soatto, M Burger, SJ Osher
IEEE transactions on pattern analysis and machine intelligence 30 (3), 518-531, 2008
Mandates: Austrian Science Fund
Empirical study of the topology and geometry of deep networks
A Fawzi, SM Moosavi-Dezfooli, P Frossard, S Soatto
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Mandates: Swiss National Science Foundation, US Department of Defense
Deep relaxation: partial differential equations for optimizing deep neural networks
P Chaudhari, A Oberman, S Osher, S Soatto, G Carlier
Research in the Mathematical Sciences 5, 1-30, 2018
Mandates: US Department of Energy, US Department of Defense
Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction
T He, J Collomosse, H Jin, S Soatto
Neural Information Processing Systems (NeurIPS), 2020
Mandates: US Department of Defense
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations
A Golatkar, A Achille, S Soatto
Proc. of the Eur. Conf. on Comp. Vis. (ECCV), arXiv preprint arXiv:2003.02960, 2020
Mandates: US Department of Defense
Unsupervised moving object detection via contextual information separation
Y Yang, A Loquercio, D Scaramuzza, S Soatto
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Mandates: Swiss National Science Foundation, US Department of Defense, European Commission
Unsupervised domain adaptation via regularized conditional alignment
S Cicek, S Soatto
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Mandates: US Department of Defense
The Information Complexity of Learning Tasks, their Structure and their Distance
A Achille, G Paolini, G Mbeng, S Soatto
NeurIPS '18 Workshop on Integration of Deep Learning Theories 2018, arXiv …, 2019
Mandates: US Department of Defense
Mono3d++: Monocular 3d vehicle detection with two-scale 3d hypotheses and task priors
T He, S Soatto
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8409-8416, 2019
Mandates: US Department of Defense
Dense depth posterior (ddp) from single image and sparse range
Y Yang, A Wong, S Soatto
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Mandates: US Department of Defense
Phase consistent ecological domain adaptation
Y Yang, D Lao, G Sundaramoorthi, S Soatto
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Mandates: US Department of Defense
Unsupervised depth completion from visual inertial odometry
A Wong, X Fei, S Tsuei, S Soatto
IEEE Robotics and Automation Letters 5 (2), 1899-1906, 2020
Mandates: US Department of Defense
Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence
AS Golatkar, A Achille, S Soatto
Advances in Neural Information Processing Systems (NeurIPS), 10677-10687, 2019
Mandates: US Department of Defense
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