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ORCIDHossein Azizpour
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2020 – today
- 2024
[j7]Ritu Yadav
, Andrea Nascetti, Hossein Azizpour, Yifang Ban:
Unsupervised flood detection on SAR time series using variational autoencoder. Int. J. Appl. Earth Obs. Geoinformation 126: 103635 (2024)- [c23]Erik Englesson, Hossein Azizpour:
Robust Classification via Regression for Learning with Noisy Labels. ICLR 2024 - [c22]Alfred Nilsson, Klas Wijk, Sai Bharath Chandra Gutha, Erik Englesson, Alexandra Hotti, Carlo Saccardi, Oskar Kviman, Jens Lagergren, Ricardo Vinuesa, Hossein Azizpour:
Indirectly Parameterized Concrete Autoencoders. ICML 2024 - [i35]Christopher Iliffe Sprague, Arne Elofsson, Hossein Azizpour:
Stable Autonomous Flow Matching. CoRR abs/2402.05774 (2024) - [i34]Alfred Nilsson, Klas Wijk, Sai Bharath Chandra Gutha, Erik Englesson, Alexandra Hotti, Carlo Saccardi, Oskar Kviman, Jens Lagergren, Ricardo Vinuesa, Hossein Azizpour:
Indirectly Parameterized Concrete Autoencoders. CoRR abs/2403.00563 (2024) - [i33]Ricardo Vinuesa, Jean Rabault, Hossein Azizpour, Stefan Bauer, Bingni W. Brunton, Arne Elofsson, Elias Jarlebring, Hedvig Kjellström, Stefano Markidis, David Marlevi, Paola Cinnella, Steven L. Brunton:
Opportunities for machine learning in scientific discovery. CoRR abs/2405.04161 (2024) - [i32]Sebastian Hafner, Heng Fang, Hossein Azizpour, Yifang Ban:
Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task Integration. CoRR abs/2406.17458 (2024) - [i31]Klas Wijk, Ricardo Vinuesa, Hossein Azizpour:
Revisiting Score Function Estimators for k-Subset Sampling. CoRR abs/2407.16058 (2024) - [i30]Sai Bharath Chandra Gutha, Hossein Azizpour, Ricardo Vinuesa:
Inverse Problems with Diffusion Models: A MAP Estimation Perspective. CoRR abs/2407.20784 (2024) - [i29]Iira Häkkinen, Iaroslav Melekhov, Erik Englesson, Hossein Azizpour, Juho Kannala:
Medical Image Segmentation with SAM-generated Annotations. CoRR abs/2409.20253 (2024) - 2023
- [j6]Erik Englesson, Amir Mehrpanah, Hossein Azizpour:
Logistic-Normal Likelihoods for Heteroscedastic Label Noise. Trans. Mach. Learn. Res. 2023 (2023) - [j5]Matteo Gamba, Erik Englesson, Mårten Björkman, Hossein Azizpour:
Deep Double Descent via Smooth Interpolation. Trans. Mach. Learn. Res. 2023 (2023) - [c21]Matteo Gamba, Hossein Azizpour, Mårten Björkman:
On the Lipschitz Constant of Deep Networks and Double Descent. BMVC 2023: 871-880 - [c20]Marc Botet Colomer, Pier Luigi Dovesi, Theodoros Panagiotakopoulos, Joao Frederico Carvalho, Linus Härenstam-Nielsen, Hossein Azizpour, Hedvig Kjellström, Daniel Cremers, Matteo Poggi:
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation. ICCV 2023: 16502-16513 - [c19]Miquel Martí i Rabadán, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki:
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks. NLDL 2023 - [c18]Yue Liu, Christos Matsoukas, Fredrik Strand, Hossein Azizpour, Kevin Smith:
PatchDropout: Economizing Vision Transformers Using Patch Dropout. WACV 2023: 3942-3951 - [i28]Matteo Gamba, Hossein Azizpour, Mårten Björkman:
On the Lipschitz Constant of Deep Networks and Double Descent. CoRR abs/2301.12309 (2023) - [i27]Erik Englesson, Amir Mehrpanah, Hossein Azizpour:
Logistic-Normal Likelihoods for Heteroscedastic Label Noise in Classification. CoRR abs/2304.02849 (2023) - [i26]Marc Botet Colomer, Pier Luigi Dovesi, Theodoros Panagiotakopoulos, Joao Frederico Carvalho, Linus Härenstam-Nielsen, Hossein Azizpour, Hedvig Kjellström, Daniel Cremers, Matteo Poggi:
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation. CoRR abs/2307.15063 (2023) - 2022
- [j4]Sebastian Hafner, Andrea Nascetti, Hossein Azizpour, Yifang Ban:
Sentinel-1 and Sentinel-2 Data Fusion for Urban Change Detection Using a Dual Stream U-Net. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j3]Atsuto Maki, Danica Kragic, Hedvig Kjellström, Hossein Azizpour, Josephine Sullivan, Mårten Björkman, Patric Jensfelt, Stefan Carlsson, Tony Lindeberg, Yngve Sundblad:
In Memoriam: Jan-Olof Eklundh. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4488-4489 (2022) - [c17]Matteo Gamba, Adrian Chmielewski-Anders, Josephine Sullivan, Hossein Azizpour, Mårten Björkman:
Are All Linear Regions Created Equal? AISTATS 2022: 6573-6590 - [c16]Miquel Martí, Sebastian Bujwid, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki:
An analysis of over-sampling labeled data in semi-supervised learning with FixMatch. NLDL 2022 - [c15]Hao Hu, Federico Baldassarre, Hossein Azizpour:
Learnable Masked Tokens for Improved Transferability of Self-supervised Vision Transformers. ECML/PKDD (3) 2022: 409-426 - [i25]Miquel Martí i Rabadán, Sebastian Bujwid, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki:
An analysis of over-sampling labeled data in semi-supervised learning with FixMatch. CoRR abs/2201.00604 (2022) - [i24]Beril Sirmaçek, S. Gupta, Fermín Mallor, Hossein Azizpour, Yifang Ban, Hamidreza Eivazi, H. Fang, F. Golzar, Iolanda Leite, Gaspar Isaac Melsión, Kevin Smith, F. Fuso Nerini, Ricardo Vinuesa:
The potential of artificial intelligence for achieving healthy and sustainable societies. CoRR abs/2202.07424 (2022) - [i23]Matteo Gamba, Adrian Chmielewski-Anders, Josephine Sullivan, Hossein Azizpour, Mårten Björkman:
Are All Linear Regions Created Equal? CoRR abs/2202.11749 (2022) - [i22]Federico Baldassarre, Hossein Azizpour:
Towards Self-Supervised Learning of Global and Object-Centric Representations. CoRR abs/2203.05997 (2022) - [i21]Yue Liu, Christos Matsoukas, Fredrik Strand, Hossein Azizpour, Kevin Smith:
PatchDropout: Economizing Vision Transformers Using Patch Dropout. CoRR abs/2208.07220 (2022) - [i20]Matteo Gamba, Erik Englesson, Mårten Björkman, Hossein Azizpour:
Deep Double Descent via Smooth Interpolation. CoRR abs/2209.10080 (2022) - [i19]Miquel Martí i Rabadán, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki:
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks. CoRR abs/2210.09919 (2022) - [i18]Ritu Yadav, Andrea Nascetti, Hossein Azizpour, Yifang Ban:
Unsupervised Flood Detection on SAR Time Series. CoRR abs/2212.03675 (2022) - 2021
- [j2]Federico Baldassarre, David Menéndez Hurtado, Arne Elofsson, Hossein Azizpour:
GraphQA: protein model quality assessment using graph convolutional networks. Bioinform. 37(3): 360-366 (2021) - [c14]Erik Englesson, Hossein Azizpour:
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels. NeurIPS 2021: 30284-30297 - [c13]Moein Sorkhei, Yue Liu, Hossein Azizpour, Edward Azavedo, Karin Dembrower, Dimitra Ntoula, Athanasios Zouzos, Fredrik Strand, Kevin Smith:
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer. NeurIPS Datasets and Benchmarks 2021 - [i17]Erik Englesson, Hossein Azizpour:
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels. CoRR abs/2105.04522 (2021) - [i16]Erik Englesson, Hossein Azizpour:
Consistency Regularization Can Improve Robustness to Label Noise. CoRR abs/2110.01242 (2021) - [i15]Moein Sorkhei, Yue Liu, Hossein Azizpour, Edward Azavedo, Karin Dembrower, Dimitra Ntoula, Athanasios Zouzos, Fredrik Strand, Kevin Smith:
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer. CoRR abs/2112.01330 (2021) - 2020
- [c12]Federico Baldassarre, Kevin Smith, Josephine Sullivan, Hossein Azizpour:
Explanation-Based Weakly-Supervised Learning of Visual Relations with Graph Networks. ECCV (28) 2020: 612-630 - [c11]Yue Liu, Hossein Azizpour, Fredrik Strand, Kevin Smith:
Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models. MICCAI (6) 2020: 230-240 - [i14]Luca Guastoni, Prem A. Srinivasan, Hossein Azizpour, Philipp Schlatter, Ricardo Vinuesa:
On the use of recurrent neural networks for predictions of turbulent flows. CoRR abs/2002.01222 (2020) - [i13]Matteo Gamba, Stefan Carlsson, Hossein Azizpour, Mårten Björkman:
Hyperplane Arrangements of Trained ConvNets Are Biased. CoRR abs/2003.07797 (2020) - [i12]Hamidreza Eivazi, Luca Guastoni, Philipp Schlatter, Hossein Azizpour, Ricardo Vinuesa:
Recurrent neural networks and Koopman-based frameworks for temporal predictions in turbulence. CoRR abs/2005.02762 (2020) - [i11]Federico Baldassarre, Kevin Smith, Josephine Sullivan, Hossein Azizpour:
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks. CoRR abs/2006.09562 (2020) - [i10]Yue Liu, Hossein Azizpour, Fredrik Strand, Kevin Smith:
Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models. CoRR abs/2007.05791 (2020)
2010 – 2019
- 2019
- [c10]Matteo Gamba, Hossein Azizpour, Stefan Carlsson, Mårten Björkman:
On the Geometry of Rectifier Convolutional Neural Networks. ICCV Workshops 2019: 793-797 - [i9]Ricardo Vinuesa, Hossein Azizpour, Iolanda Leite, Madeline Balaam, Virginia Dignum, Sami Domisch, Anna Felländer, Simone Langhans, Max Tegmark, Francesco Fuso Nerini:
The role of artificial intelligence in achieving the Sustainable Development Goals. CoRR abs/1905.00501 (2019) - [i8]Federico Baldassarre, Hossein Azizpour:
Explainability Techniques for Graph Convolutional Networks. CoRR abs/1905.13686 (2019) - [i7]Erik Englesson, Hossein Azizpour:
Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation. CoRR abs/1906.05419 (2019) - 2018
- [c9]Mattias Teye, Hossein Azizpour, Kevin Smith:
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks. ICML 2018: 4914-4923 - [i6]Sebastian Bujwid, Miquel Martí, Hossein Azizpour, Alessandro Pieropan:
GANtruth - an unpaired image-to-image translation method for driving scenarios. CoRR abs/1812.01710 (2018) - 2017
- [c8]Stefan Carlsson, Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Kevin Smith:
The Preimage of Rectifier Network Activities. ICLR (Workshop) 2017 - 2016
- [b1]Hossein Azizpour:
Visual Representations and Models: From Latent SVM to Deep Learning. Royal Institute of Technology, Stockholm, Sweden, 2016 - [j1]Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Atsuto Maki, Stefan Carlsson:
Factors of Transferability for a Generic ConvNet Representation. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1790-1802 (2016) - 2015
- [c7]Hossein Azizpour, Mostafa Arefiyan, Sobhan Naderi Parizi, Stefan Carlsson:
Spotlight the Negatives: A Generalized Discriminative Latent Model. BMVC 2015: 18.1-18.11 - [c6]Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Atsuto Maki, Stefan Carlsson:
From generic to specific deep representations for visual recognition. CVPR Workshops 2015: 36-45 - [c5]Ali Sharif Razavian, Hossein Azizpour, Atsuto Maki, Josephine Sullivan, Carl Henrik Ek, Stefan Carlsson:
Persistent Evidence of Local Image Properties in Generic ConvNets. SCIA 2015: 249-262 - [i5]Hossein Azizpour, Mostafa Arefiyan, Sobhan Naderi Parizi, Stefan Carlsson:
Spotlight the Negatives: A Generalized Discriminative Latent Model. CoRR abs/1507.02144 (2015) - 2014
- [c4]Ali Sharif Razavian, Hossein Azizpour, Josephine Sullivan, Stefan Carlsson:
CNN Features Off-the-Shelf: An Astounding Baseline for Recognition. CVPR Workshops 2014: 512-519 - [i4]Ali Sharif Razavian, Hossein Azizpour, Josephine Sullivan, Stefan Carlsson:
CNN Features off-the-shelf: an Astounding Baseline for Recognition. CoRR abs/1403.6382 (2014) - [i3]Hossein Azizpour, Stefan Carlsson:
Self-tuned Visual Subclass Learning with Shared Samples An Incremental Approach. CoRR abs/1405.5732 (2014) - [i2]Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Atsuto Maki, Stefan Carlsson:
From Generic to Specific Deep Representations for Visual Recognition. CoRR abs/1406.5774 (2014) - [i1]Ali Sharif Razavian, Hossein Azizpour, Atsuto Maki, Josephine Sullivan, Carl Henrik Ek, Stefan Carlsson:
Persistent Evidence of Local Image Properties in Generic ConvNets. CoRR abs/1411.6509 (2014) - 2013
- [c3]Vahid Kazemi, Magnus Burenius, Hossein Azizpour, Josephine Sullivan:
Multi-view Body Part Recognition with Random Forests. BMVC 2013 - 2012
- [c2]Omid Aghazadeh, Hossein Azizpour, Josephine Sullivan, Stefan Carlsson:
Mixture Component Identification and Learning for Visual Recognition. ECCV (6) 2012: 115-128 - [c1]Hossein Azizpour, Ivan Laptev:
Object Detection Using Strongly-Supervised Deformable Part Models. ECCV (1) 2012: 836-849
Coauthor Index
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last updated on 2024-10-22 20:13 CEST by the dblp team
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