Hossein Azizpour

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 55

Top Venues

CoRR

BMVC

IEEE Trans. Pattern Anal. Mach. Intell.

NLDL

Royal Institute of Technology, Stockholm, Sweden (PHD)

Education History

Royal Institute of Technology, Stockholm, Sweden

PHD

Publications

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 (2024)
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 (2024)
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 (2024)
Sai Bharath Chandra Gutha, Hossein Azizpour, Ricardo Vinuesa
Inverse Problems with Diffusion Models: A MAP Estimation Perspective. CoRR (2024)
Christopher Iliffe Sprague, Arne Elofsson, Hossein Azizpour
Stable Autonomous Flow Matching. CoRR (2024)
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 (2024)
Erik Englesson, Hossein Azizpour
Robust Classification via Regression for Learning with Noisy Labels. ICLR (2024)
Klas Wijk, Ricardo Vinuesa, Hossein Azizpour
-Subset Sampling. CoRR (2024)
Matteo Gamba, Hossein Azizpour, Mårten Björkman
On the Lipschitz Constant of Deep Networks and Double Descent. BMVC (2023)
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 (2023)
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)
Matteo Gamba, Erik Englesson, Mårten Björkman, Hossein Azizpour
Deep Double Descent via Smooth Interpolation. Trans. Mach. Learn. Res. 2023 (2023)
Erik Englesson, Amir Mehrpanah, Hossein Azizpour
Logistic-Normal Likelihoods for Heteroscedastic Label Noise. Trans. Mach. Learn. Res. 2023 (2023)
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)
Matteo Gamba, Hossein Azizpour, Mårten Björkman
On the Lipschitz Constant of Deep Networks and Double Descent. CoRR (2023)
Yue Liu, Christos Matsoukas, Fredrik Strand, Hossein Azizpour, Kevin Smith
PatchDropout: Economizing Vision Transformers Using Patch Dropout. WACV (2023)
Erik Englesson, Amir Mehrpanah, Hossein Azizpour
Logistic-Normal Likelihoods for Heteroscedastic Label Noise in Classification. CoRR (2023)
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)
Matteo Gamba, Adrian Chmielewski-Anders, Josephine Sullivan, Hossein Azizpour, Mårten Björkman
Are All Linear Regions Created Equal? AISTATS (2022)
Matteo Gamba, Erik Englesson, Mårten Björkman, Hossein Azizpour
Deep Double Descent via Smooth Interpolation. CoRR (2022)
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) (2022)
Miquel Martí i Rabadán, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks. CoRR (2022)
Yue Liu, Christos Matsoukas, Fredrik Strand, Hossein Azizpour, Kevin Smith
PatchDropout: Economizing Vision Transformers Using Patch Dropout. CoRR (2022)
Beril Sirmaçek, S. Gupta, Fermín Mallor, Hossein Azizpour, Y. Ban, Hamidreza Eivazi, H. Fang, F. Golzar, Iolanda Leite, Gaspar Isaac Melsión, K. Smith, F. Fuso Nerini, Ricardo Vinuesa
The potential of artificial intelligence for achieving healthy and sustainable societies. CoRR (2022)
Matteo Gamba, Adrian Chmielewski-Anders, Josephine Sullivan, Hossein Azizpour, Mårten Björkman
Are All Linear Regions Created Equal? CoRR (2022)
Ritu Yadav, Andrea Nascetti, Hossein Azizpour, Yifang Ban
Unsupervised Flood Detection on SAR Time Series. CoRR (2022)
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 (2022)
Hao Hu, Federico Baldassarre, Hossein Azizpour
Learnable Masked Tokens for Improved Transferability of Self-supervised Vision Transformers. ECML/PKDD (3) (2022)
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 (2022)
Federico Baldassarre, Hossein Azizpour
Towards Self-Supervised Learning of Global and Object-Centric Representations. CoRR (2022)
Erik Englesson, Hossein Azizpour
Consistency Regularization Can Improve Robustness to Label Noise. CoRR (2021)
Erik Englesson, Hossein Azizpour
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels. NeurIPS (2021)
Federico Baldassarre, David Menéndez Hurtado, Arne Elofsson, Hossein Azizpour
GraphQA: protein model quality assessment using graph convolutional networks. Bioinform. 37 (3) (2021)
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 (2021)
Erik Englesson, Hossein Azizpour
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels. CoRR (2021)
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)
Federico Baldassarre, Kevin Smith, Josephine Sullivan, Hossein Azizpour
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks. CoRR (2020)
Luca Guastoni, Prem A. Srinivasan, Hossein Azizpour, Philipp Schlatter, Ricardo Vinuesa
On the use of recurrent neural networks for predictions of turbulent flows. CoRR (2020)
Hamidreza Eivazi, Luca Guastoni, Philipp Schlatter, Hossein Azizpour, Ricardo Vinuesa
Recurrent neural networks and Koopman-based frameworks for temporal predictions in turbulence. CoRR (2020)
Yue Liu, Hossein Azizpour, Fredrik Strand, Kevin Smith
Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models. CoRR (2020)
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)
Matteo Gamba, Stefan Carlsson, Hossein Azizpour, Mårten Björkman
Hyperplane Arrangements of Trained ConvNets Are Biased. CoRR (2020)
Federico Baldassarre, Kevin Smith, Josephine Sullivan, Hossein Azizpour
Explanation-Based Weakly-Supervised Learning of Visual Relations with Graph Networks. ECCV (28) (2020)
Erik Englesson, Hossein Azizpour
Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation. CoRR (2019)
Matteo Gamba, Hossein Azizpour, Stefan Carlsson, Mårten Björkman
On the Geometry of Rectifier Convolutional Neural Networks. ICCV Workshops (2019)
Federico Baldassarre, Hossein Azizpour
Explainability Techniques for Graph Convolutional Networks. CoRR (2019)
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 (2019)
Sebastian Bujwid, Miquel Martí, Hossein Azizpour, Alessandro Pieropan
GANtruth - an unpaired image-to-image translation method for driving scenarios. CoRR (2018)
Mattias Teye, Hossein Azizpour, Kevin Smith
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks. ICML (2018)
Stefan Carlsson, Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Kevin Smith
The Preimage of Rectifier Network Activities. ICLR (Workshop) (2017)
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) (2016)
Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Atsuto Maki, Stefan Carlsson
From generic to specific deep representations for visual recognition. CVPR Workshops (2015)
Hossein Azizpour, Mostafa Arefiyan, Sobhan Naderi Parizi, Stefan Carlsson
Spotlight the Negatives: A Generalized Discriminative Latent Model. CoRR (2015)
Hossein Azizpour, Mostafa Arefiyan, Sobhan Naderi Parizi, Stefan Carlsson
Spotlight the Negatives: A Generalized Discriminative Latent Model. BMVC (2015)
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)
Ali Sharif Razavian, Hossein Azizpour, Atsuto Maki, Josephine Sullivan, Carl Henrik Ek, Stefan Carlsson
Persistent Evidence of Local Image Properties in Generic ConvNets. CoRR (2014)
Ali Sharif Razavian, Hossein Azizpour, Josephine Sullivan, Stefan Carlsson
CNN Features off-the-shelf: an Astounding Baseline for Recognition. CoRR (2014)
Ali Sharif Razavian, Hossein Azizpour, Josephine Sullivan, Stefan Carlsson
CNN Features Off-the-Shelf: An Astounding Baseline for Recognition. CVPR Workshops (2014)
Hossein Azizpour, Stefan Carlsson
Self-tuned Visual Subclass Learning with Shared Samples An Incremental Approach. CoRR (2014)
Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Atsuto Maki, Stefan Carlsson
From Generic to Specific Deep Representations for Visual Recognition. CoRR (2014)
Vahid Kazemi, Magnus Burenius, Hossein Azizpour, Josephine Sullivan
Multi-view Body Part Recognition with Random Forests. BMVC (2013)
Hossein Azizpour, Ivan Laptev
Object Detection Using Strongly-Supervised Deformable Part Models. ECCV (1) (2012)
Omid Aghazadeh, Hossein Azizpour, Josephine Sullivan, Stefan Carlsson
Mixture Component Identification and Learning for Visual Recognition. ECCV (6) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hossein Azizpour