Mixture Component Identification and Learning for Visual Recognition. - Omid Aghazadeh; Hossein Azizpour; Josephine Sullivan; Stefan Carlsson (ECCV (6), 2012)

Object Detection Using Strongly-Supervised Deformable Part Models. - Hossein Azizpour; Ivan Laptev (ECCV (1), 2012)

Multi-view Body Part Recognition with Random Forests. - Vahid Kazemi; Magnus Burenius; Hossein Azizpour; Josephine Sullivan (BMVC, 2013)

CNN Features Off-the-Shelf: An Astounding Baseline for Recognition. - Ali Sharif Razavian; Hossein Azizpour; Josephine Sullivan; Stefan Carlsson (CVPR Workshops, 2014)

Self-tuned Visual Subclass Learning with Shared Samples An Incremental Approach. - Hossein Azizpour; Stefan Carlsson (CoRR, 2014)

Spotlight the Negatives: A Generalized Discriminative Latent Model. - Hossein Azizpour; Mostafa Arefiyan; Sobhan Naderi Parizi; Stefan Carlsson (BMVC, 2015)

From generic to specific deep representations for visual recognition. - Hossein Azizpour; Ali Sharif Razavian; Josephine Sullivan; Atsuto Maki; Stefan Carlsson (CVPR Workshops, 2015)

Persistent Evidence of Local Image Properties in Generic ConvNets. - Ali Sharif Razavian; Hossein Azizpour; Atsuto Maki; Josephine Sullivan; Carl Henrik Ek; Stefan Carlsson (SCIA, 2015)

Factors of Transferability for a Generic ConvNet Representation. - Hossein Azizpour; Ali Sharif Razavian; Josephine Sullivan; Atsuto Maki; Stefan Carlsson (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Visual Representations and Models: From Latent SVM to Deep Learning. - Hossein Azizpour (2016)

The Preimage of Rectifier Network Activities. - Stefan Carlsson; Hossein Azizpour; Ali Sharif Razavian; Josephine Sullivan; Kevin Smith 001 (ICLR (Workshop), 2017)

Bayesian Uncertainty Estimation for Batch Normalized Deep Networks. - Mattias Teye; Hossein Azizpour; Kevin Smith 001 (ICML, 2018)

GANtruth - an unpaired image-to-image translation method for driving scenarios. - Sebastian Bujwid; Miquel Martí; Hossein Azizpour; Alessandro Pieropan (CoRR, 2018)

On the Geometry of Rectifier Convolutional Neural Networks. - Matteo Gamba; Hossein Azizpour; Stefan Carlsson; Mårten Björkman (ICCV Workshops, 2019)

The role of artificial intelligence in achieving the Sustainable Development Goals. - Ricardo Vinuesa; Hossein Azizpour; Iolanda Leite; Madeline Balaam; Virginia Dignum; Sami Domisch; Anna Felländer; Simone Langhans; Max Tegmark; Francesco Fuso Nerini (CoRR, 2019)

Explainability Techniques for Graph Convolutional Networks. - Federico Baldassarre; Hossein Azizpour (CoRR, 2019)

Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation. - Erik Englesson; Hossein Azizpour (CoRR, 2019)

Explanation-Based Weakly-Supervised Learning of Visual Relations with Graph Networks. - Federico Baldassarre; Kevin Smith 001; Josephine Sullivan; Hossein Azizpour (ECCV (28), 2020)

Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models. - Yue Liu; Hossein Azizpour; Fredrik Strand; Kevin Smith 001 (MICCAI (6), 2020)

On the use of recurrent neural networks for predictions of turbulent flows. - Luca Guastoni; Prem A. Srinivasan; Hossein Azizpour; Philipp Schlatter; Ricardo Vinuesa (CoRR, 2020)

Hyperplane Arrangements of Trained ConvNets Are Biased. - Matteo Gamba; Stefan Carlsson; Hossein Azizpour; Mårten Björkman (CoRR, 2020)

Recurrent neural networks and Koopman-based frameworks for temporal predictions in turbulence. - Hamidreza Eivazi; Luca Guastoni; Philipp Schlatter; Hossein Azizpour; Ricardo Vinuesa (CoRR, 2020)

Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels. - Erik Englesson; Hossein Azizpour (NeurIPS, 2021)

CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer. - Moein Sorkhei; Yue Liu; Hossein Azizpour; Edward Azavedo; Karin Dembrower; Dimitra Ntoula; Athanasios Zouzos; Fredrik Strand; Kevin Smith 001 (NeurIPS Datasets and Benchmarks, 2021)

GraphQA: protein model quality assessment using graph convolutional networks. - Federico Baldassarre; David Menéndez Hurtado; Arne Elofsson; Hossein Azizpour (Bioinform., 2021)

Consistency Regularization Can Improve Robustness to Label Noise. - Erik Englesson; Hossein Azizpour (CoRR, 2021)

Are All Linear Regions Created Equal? - Matteo Gamba; Adrian Chmielewski-Anders; Josephine Sullivan; Hossein Azizpour; Mårten Björkman (AISTATS, 2022)

An analysis of over-sampling labeled data in semi-supervised learning with FixMatch. - Miquel Martí; Sebastian Bujwid; Alessandro Pieropan; Hossein Azizpour; Atsuto Maki (NLDL, 2022)

Learnable Masked Tokens for Improved Transferability of Self-supervised Vision Transformers. - Hao Hu; Federico Baldassarre; Hossein Azizpour (ECML/PKDD (3), 2022)

The potential of artificial intelligence for achieving healthy and sustainable societies. - Beril Sirmaçek; S. Gupta; Fermín Mallor; Hossein Azizpour; Yifang Ban; Hamidreza Eivazi; Heng Fang; F. Golzar; Iolanda Leite; Gaspar Isaac Melsión; Kevin Smith 001; Francesco Fuso Nerini; et al. (CoRR, 2022)

Towards Self-Supervised Learning of Global and Object-Centric Representations. - Federico Baldassarre; Hossein Azizpour (CoRR, 2022)

Unsupervised Flood Detection on SAR Time Series. - Ritu Yadav; Andrea Nascetti; Hossein Azizpour; Yifang Ban (CoRR, 2022)

Sentinel-1 and Sentinel-2 Data Fusion for Urban Change Detection Using a Dual Stream U-Net. - Sebastian Hafner; Andrea Nascetti; Hossein Azizpour; Yifang Ban (IEEE Geosci. Remote. Sens. Lett., 2022)

In Memoriam: Jan-Olof Eklundh. - Atsuto Maki; Danica Kragic; Hedvig Kjellström; Hossein Azizpour; Josephine Sullivan; Mårten Björkman; Patric Jensfelt; Stefan Carlsson; Tony Lindeberg; Yngve Sundblad (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

On the Lipschitz Constant of Deep Networks and Double Descent. - Matteo Gamba; Hossein Azizpour; Mårten Björkman (BMVC, 2023)

To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation. - Marc Botet Colomer; Pier Luigi Dovesi; Theodoros Panagiotakopoulos; Joao Frederico Carvalho; Linus Härenstam-Nielsen; Hossein Azizpour; Hedvig Kjellström; Daniel Cremers; Matteo Poggi (ICCV, 2023)

Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks. - Miquel Martí i Rabadán; Alessandro Pieropan; Hossein Azizpour; Atsuto Maki (NLDL, 2023)

PatchDropout: Economizing Vision Transformers Using Patch Dropout. - Yue Liu; Christos Matsoukas; Fredrik Strand; Hossein Azizpour; Kevin Smith 001 (WACV, 2023)

Logistic-Normal Likelihoods for Heteroscedastic Label Noise in Classification. - Erik Englesson; Amir Mehrpanah; Hossein Azizpour (CoRR, 2023)

Logistic-Normal Likelihoods for Heteroscedastic Label Noise. - Erik Englesson; Amir Mehrpanah; Hossein Azizpour (Trans. Mach. Learn. Res., 2023)

Deep Double Descent via Smooth Interpolation. - Matteo Gamba; Erik Englesson; Mårten Björkman; Hossein Azizpour (Trans. Mach. Learn. Res., 2023)

Regularizing and Interpreting Vision Transformer by Patch Selection on Echocardiography Data. - Alfred Nilsson; Hossein Azizpour (CHIL, 2024)

Medical Image Segmentation with SAM-Generated Annotations. - Iira Häkkinen; Iaroslav Melekhov; Erik Englesson; Hossein Azizpour; Juho Kannala (ECCV Workshops (22), 2024)

On Spectral Properties of Gradient-Based Explanation Methods. - Amir Mehrpanah; Erik Englesson; Hossein Azizpour (ECCV (87), 2024)

Robust Classification via Regression for Learning with Noisy Labels. - Erik Englesson; Hossein Azizpour (ICLR, 2024)

Indirectly Parameterized Concrete Autoencoders. - Alfred Nilsson; Klas Wijk; Sai Bharath Chandra Gutha; Erik Englesson; Alexandra Hotti; Carlo Saccardi; Oskar Kviman; Jens Lagergren; Ricardo Vinuesa; Hossein Azizpour (ICML, 2024)

Stable Autonomous Flow Matching. - Christopher Iliffe Sprague; Arne Elofsson; Hossein Azizpour (CoRR, 2024)

Opportunities for machine learning in scientific discovery. - 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 (CoRR, 2024)

Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task Integration. - Sebastian Hafner; Heng Fang; Hossein Azizpour; Yifang Ban (CoRR, 2024)

Revisiting Score Function Estimators for k-Subset Sampling. - Klas Wijk; Ricardo Vinuesa; Hossein Azizpour (CoRR, 2024)

Hessian-Informed Flow Matching. - Christopher Iliffe Sprague; Arne Elofsson; Hossein Azizpour (CoRR, 2024)

Unsupervised flood detection on SAR time series using variational autoencoder. - Ritu Yadav; Andrea Nascetti; Hossein Azizpour; Yifang Ban (Int. J. Appl. Earth Obs. Geoinformation, 2024)

SFESS: Score Function Estimators for k-Subset Sampling. - Klas Wijk; Ricardo Vinuesa; Hossein Azizpour (ICLR, 2025)

Leveraging Satellite Image Time Series for Accurate Extreme Event Detection. - Heng Fang; Hossein Azizpour (WACV (Workshops), 2025)

Inverse Problems with Diffusion Models: A MAP Estimation Perspective. - Sai Bharath Chandra Gutha; Ricardo Vinuesa; Hossein Azizpour (WACV, 2025)

Continuous Urban Change Detection From Satellite Image Time Series With Temporal Feature Refinement and Multitask Integration. - Sebastian Hafner; Heng Fang; Hossein Azizpour; Yifang Ban (IEEE Trans. Geosci. Remote. Sens., 2025)

Diff-SPORT: Diffusion-based Sensor Placement Optimization and Reconstruction of Turbulent flows in urban environments. - Abhijeet Vishwasrao; Sai Bharath Chandra Gutha; Andres Cremades; Klas Wijk; Aakash Patil; Catherine Gorle; Beverley J. McKeon; Hossein Azizpour; Ricardo Vinuesa (CoRR, 2025)

On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations. - Amir Mehrpanah; Matteo Gamba; Kevin Smith 001; Hossein Azizpour (CoRR, 2025)

Energy-Based Flow Matching for Generating 3D Molecular Structure. - Wenyin Zhou; Christopher Iliffe Sprague; Vsevolod Viliuga; Matteo Tadiello; Arne Elofsson; Hossein Azizpour (CoRR, 2025)