Hossein Azizpour

86 papers A* 7A 7Journal 53Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Earth Embeddings as Products: Taxonomy, Ecosystem, and Standardized Access. CoRR Heng Fang, Adam J. Stewart, Isaac Corley, Xiao Xiang Zhu, Hossein Azizpour
2025	A	`conf`	A Non-Adversarial Approach to Idempotent Generative Modelling. ECAI Mohammed Al-Jaff, Giovanni Luca Marchetti, Michael C. Welle, Jens Lundell, Mats G. Gustafsson, Gustav Eje Henter, Hossein Azizpour, Danica Kragic
2025	J	`jnl`	A Non-Adversarial Approach to Idempotent Generative Modelling. CoRR Mohammed Al-Jaff, Giovanni Luca Marchetti, Michael C. Welle, Jens Lundell, Mats G. Gustafsson, Gustav Eje Henter, Hossein Azizpour, Danica Kragic
2025	J	`jnl`	Continuous Urban Change Detection From Satellite Image Time Series With Temporal Feature Refinement and Multitask Integration. IEEE Trans. Geosci. Remote. Sens. Sebastian Hafner, Heng Fang, Hossein Azizpour, Yifang Ban
2025	J	`jnl`	Diff-SPORT: Diffusion-based Sensor Placement Optimization and Reconstruction of Turbulent flows in urban environments. CoRR Abhijeet Vishwasrao, Sai Bharath Chandra Gutha, Andres Cremades, Klas Wijk, Aakash Patil, Catherine Gorlé, Beverley J. McKeon, Hossein Azizpour, Ricardo Vinuesa
2025	A*	`conf`	Energy-Based Flow Matching for Generating 3D Molecular Structure. ICML Wenyin Zhou, Christopher Iliffe Sprague, Vsevolod Viliuga, Matteo Tadiello, Arne Elofsson, Hossein Azizpour
2025	J	`jnl`	Energy-Based Flow Matching for Generating 3D Molecular Structure. CoRR Wenyin Zhou, Christopher Iliffe Sprague, Vsevolod Viliuga, Matteo Tadiello, Arne Elofsson, Hossein Azizpour
2025	J	`jnl`	FlexiFlow: decomposable flow matching for generation of flexible molecular ensemble. CoRR Riccardo Tedoldi, Ola Engkvist, Patrick Bryant, Hossein Azizpour, Jon Paul Janet, Alessandro Tibo
2025	A	`conf`	Inverse Problems with Diffusion Models: A MAP Estimation Perspective. WACV Sai Bharath Chandra Gutha, Ricardo Vinuesa, Hossein Azizpour
2025	—	`conf`	Leveraging Satellite Image Time Series for Accurate Extreme Event Detection. WACV (Workshops) Heng Fang, Hossein Azizpour
2025	J	`jnl`	Leveraging Satellite Image Time Series for Accurate Extreme Event Detection. CoRR Heng Fang, Hossein Azizpour
2025	J	`jnl`	Mode-Seeking for Inverse Problems with Diffusion Models. CoRR Sai Bharath Chandra Gutha, Ricardo Vinuesa, Hossein Azizpour
2025	J	`jnl`	On Spectral Properties of Gradient-based Explanation Methods. CoRR Amir Mehrpanah, Erik Englesson, Hossein Azizpour
2025	J	`jnl`	On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations. CoRR Amir Mehrpanah, Matteo Gamba, Kevin Smith, Hossein Azizpour
2025	—	`ed.`	Proceedings of The TerraBytes {ICML} Workshop: Towards global datasets and models for Earth Observation, 19 July 2025, Vancouver, BC, Canada TerraBytes Nicolas Audebert, Hossein Azizpour, Valentin Barrière, Javiera Castillo Navarro, Mikolaj Czerkawski, Heng Fang, Alistair Francis, Valerio Marsocci, Andrea Nascetti, Ritu Yadav
2025	A*	`conf`	SFESS: Score Function Estimators for k-Subset Sampling. ICLR Klas Wijk, Ricardo Vinuesa, Hossein Azizpour
2024	J	`jnl`	Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task Integration. CoRR Sebastian Hafner, Heng Fang, Hossein Azizpour, Yifang Ban
2024	J	`jnl`	Hessian-Informed Flow Matching. CoRR Christopher Iliffe Sprague, Arne Elofsson, Hossein Azizpour
2024	A*	`conf`	Indirectly Parameterized Concrete Autoencoders. ICML Alfred Nilsson, Klas Wijk, Sai Bharath Chandra Gutha, Erik Englesson, Alexandra Hotti, Carlo Saccardi, Oskar Kviman, Jens Lagergren, Ricardo Vinuesa, Hossein Azizpour
2024	J	`jnl`	Indirectly Parameterized Concrete Autoencoders. CoRR Alfred Nilsson, Klas Wijk, Sai Bharath Chandra Gutha, Erik Englesson, Alexandra Hotti, Carlo Saccardi, Oskar Kviman, Jens Lagergren, Ricardo Vinuesa, Hossein Azizpour
2024	J	`jnl`	Inverse Problems with Diffusion Models: A MAP Estimation Perspective. CoRR Sai Bharath Chandra Gutha, Hossein Azizpour, Ricardo Vinuesa
2024	—	`conf`	Medical Image Segmentation with SAM-Generated Annotations. ECCV Workshops (22) Iira Häkkinen, Iaroslav Melekhov, Erik Englesson, Hossein Azizpour, Juho Kannala
2024	J	`jnl`	Medical Image Segmentation with SAM-generated Annotations. CoRR Iira Häkkinen, Iaroslav Melekhov, Erik Englesson, Hossein Azizpour, Juho Kannala
2024	—	`conf`	On Spectral Properties of Gradient-Based Explanation Methods. ECCV (87) Amir Mehrpanah, Erik Englesson, Hossein Azizpour
2024	J	`jnl`	Opportunities for machine learning in scientific discovery. CoRR 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
2024	—	`conf`	Regularizing and Interpreting Vision Transformer by Patch Selection on Echocardiography Data. CHIL Alfred Nilsson, Hossein Azizpour
2024	J	`jnl`	Revisiting Score Function Estimators for CoRR Klas Wijk, Ricardo Vinuesa, Hossein Azizpour
2024	A*	`conf`	Robust Classification via Regression for Learning with Noisy Labels. ICLR Erik Englesson, Hossein Azizpour
2024	J	`jnl`	Stable Autonomous Flow Matching. CoRR Christopher Iliffe Sprague, Arne Elofsson, Hossein Azizpour
2024	J	`jnl`	Unsupervised flood detection on SAR time series using variational autoencoder. Int. J. Appl. Earth Obs. Geoinformation Ritu Yadav, Andrea Nascetti, Hossein Azizpour, Yifang Ban
2023	J	`jnl`	Deep Double Descent via Smooth Interpolation. Trans. Mach. Learn. Res. Matteo Gamba, Erik Englesson, Mårten Björkman, Hossein Azizpour
2023	—	`conf`	Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks. NLDL Miquel Martí i Rabadán, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki
2023	J	`jnl`	Logistic-Normal Likelihoods for Heteroscedastic Label Noise in Classification. CoRR Erik Englesson, Amir Mehrpanah, Hossein Azizpour
2023	J	`jnl`	Logistic-Normal Likelihoods for Heteroscedastic Label Noise. Trans. Mach. Learn. Res. Erik Englesson, Amir Mehrpanah, Hossein Azizpour
2023	A	`conf`	On the Lipschitz Constant of Deep Networks and Double Descent. BMVC Matteo Gamba, Hossein Azizpour, Mårten Björkman
2023	J	`jnl`	On the Lipschitz Constant of Deep Networks and Double Descent. CoRR Matteo Gamba, Hossein Azizpour, Mårten Björkman
2023	A	`conf`	PatchDropout: Economizing Vision Transformers Using Patch Dropout. WACV Yue Liu, Christos Matsoukas, Fredrik Strand, Hossein Azizpour, Kevin Smith
2023	A*	`conf`	To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation. ICCV Marc Botet Colomer, Pier Luigi Dovesi, Theodoros Panagiotakopoulos, Joao Frederico Carvalho, Linus Härenstam-Nielsen, Hossein Azizpour, Hedvig Kjellström, Daniel Cremers, Matteo Poggi
2023	J	`jnl`	To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation. CoRR Marc Botet Colomer, Pier Luigi Dovesi, Theodoros Panagiotakopoulos, Joao Frederico Carvalho, Linus Härenstam-Nielsen, Hossein Azizpour, Hedvig Kjellström, Daniel Cremers, Matteo Poggi
2022	—	`conf`	An analysis of over-sampling labeled data in semi-supervised learning with FixMatch. NLDL Miquel Martí, Sebastian Bujwid, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki
2022	J	`jnl`	An analysis of over-sampling labeled data in semi-supervised learning with FixMatch. CoRR Miquel Martí i Rabadán, Sebastian Bujwid, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki
2022	A	`conf`	Are All Linear Regions Created Equal? AISTATS Matteo Gamba, Adrian Chmielewski-Anders, Josephine Sullivan, Hossein Azizpour, Mårten Björkman
2022	J	`jnl`	Are All Linear Regions Created Equal? CoRR Matteo Gamba, Adrian Chmielewski-Anders, Josephine Sullivan, Hossein Azizpour, Mårten Björkman
2022	J	`jnl`	Deep Double Descent via Smooth Interpolation. CoRR Matteo Gamba, Erik Englesson, Mårten Björkman, Hossein Azizpour
2022	J	`jnl`	Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks. CoRR Miquel Martí i Rabadán, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki
2022	J	`jnl`	In Memoriam: Jan-Olof Eklundh. IEEE Trans. Pattern Anal. Mach. Intell. Atsuto Maki, Danica Kragic, Hedvig Kjellström, Hossein Azizpour, Josephine Sullivan, Mårten Björkman, Patric Jensfelt, Stefan Carlsson, Tony Lindeberg, Yngve Sundblad
2022	—	`conf`	Learnable Masked Tokens for Improved Transferability of Self-supervised Vision Transformers. ECML/PKDD (3) Hao Hu, Federico Baldassarre, Hossein Azizpour
2022	J	`jnl`	PatchDropout: Economizing Vision Transformers Using Patch Dropout. CoRR Yue Liu, Christos Matsoukas, Fredrik Strand, Hossein Azizpour, Kevin Smith
2022	J	`jnl`	Sentinel-1 and Sentinel-2 Data Fusion for Urban Change Detection Using a Dual Stream U-Net. IEEE Geosci. Remote. Sens. Lett. Sebastian Hafner, Andrea Nascetti, Hossein Azizpour, Yifang Ban
2022	J	`jnl`	The potential of artificial intelligence for achieving healthy and sustainable societies. CoRR Beril Sirmaçek, S. Gupta, Fermín Mallor, Hossein Azizpour, Yifang Ban, Hamidreza Eivazi, Heng Fang, F. Golzar, Iolanda Leite, Gaspar Isaac Melsión, Kevin Smith, Francesco Fuso Nerini, Ricardo Vinuesa
2022	J	`jnl`	Towards Self-Supervised Learning of Global and Object-Centric Representations. CoRR Federico Baldassarre, Hossein Azizpour
2022	J	`jnl`	Unsupervised Flood Detection on SAR Time Series. CoRR Ritu Yadav, Andrea Nascetti, Hossein Azizpour, Yifang Ban
2021	—	`conf`	CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer. NeurIPS Datasets and Benchmarks Moein Sorkhei, Yue Liu, Hossein Azizpour, Edward Azavedo, Karin Dembrower, Dimitra Ntoula, Athanasios Zouzos, Fredrik Strand, Kevin Smith
2021	J	`jnl`	CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer. CoRR Moein Sorkhei, Yue Liu, Hossein Azizpour, Edward Azavedo, Karin Dembrower, Dimitra Ntoula, Athanasios Zouzos, Fredrik Strand, Kevin Smith
2021	J	`jnl`	Consistency Regularization Can Improve Robustness to Label Noise. CoRR Erik Englesson, Hossein Azizpour
2021	A*	`conf`	Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels. NeurIPS Erik Englesson, Hossein Azizpour
2021	J	`jnl`	Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels. CoRR Erik Englesson, Hossein Azizpour
2021	J	`jnl`	GraphQA: protein model quality assessment using graph convolutional networks. Bioinform. Federico Baldassarre, David Menéndez Hurtado, Arne Elofsson, Hossein Azizpour
2020	—	`conf`	Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models. MICCAI (6) Yue Liu, Hossein Azizpour, Fredrik Strand, Kevin Smith
2020	J	`jnl`	Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models. CoRR Yue Liu, Hossein Azizpour, Fredrik Strand, Kevin Smith
2020	—	`conf`	Explanation-Based Weakly-Supervised Learning of Visual Relations with Graph Networks. ECCV (28) Federico Baldassarre, Kevin Smith, Josephine Sullivan, Hossein Azizpour
2020	J	`jnl`	Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks. CoRR Federico Baldassarre, Kevin Smith, Josephine Sullivan, Hossein Azizpour
2020	J	`jnl`	Hyperplane Arrangements of Trained ConvNets Are Biased. CoRR Matteo Gamba, Stefan Carlsson, Hossein Azizpour, Mårten Björkman
2020	J	`jnl`	On the use of recurrent neural networks for predictions of turbulent flows. CoRR Luca Guastoni, Prem A. Srinivasan, Hossein Azizpour, Philipp Schlatter, Ricardo Vinuesa
2020	J	`jnl`	Recurrent neural networks and Koopman-based frameworks for temporal predictions in turbulence. CoRR Hamidreza Eivazi, Luca Guastoni, Philipp Schlatter, Hossein Azizpour, Ricardo Vinuesa
2019	J	`jnl`	Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation. CoRR Erik Englesson, Hossein Azizpour
2019	J	`jnl`	Explainability Techniques for Graph Convolutional Networks. CoRR Federico Baldassarre, Hossein Azizpour
2019	—	`conf`	On the Geometry of Rectifier Convolutional Neural Networks. ICCV Workshops Matteo Gamba, Hossein Azizpour, Stefan Carlsson, Mårten Björkman
2019	J	`jnl`	The role of artificial intelligence in achieving the Sustainable Development Goals. CoRR Ricardo Vinuesa, Hossein Azizpour, Iolanda Leite, Madeline Balaam, Virginia Dignum, Sami Domisch, Anna Felländer, Simone Langhans, Max Tegmark, Francesco Fuso Nerini
2018	A*	`conf`	Bayesian Uncertainty Estimation for Batch Normalized Deep Networks. ICML Mattias Teye, Hossein Azizpour, Kevin Smith
2018	J	`jnl`	GANtruth - an unpaired image-to-image translation method for driving scenarios. CoRR Sebastian Bujwid, Miquel Martí, Hossein Azizpour, Alessandro Pieropan
2017	—	`conf`	The Preimage of Rectifier Network Activities. ICLR (Workshop) Stefan Carlsson, Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Kevin Smith
2016	J	`jnl`	Factors of Transferability for a Generic ConvNet Representation. IEEE Trans. Pattern Anal. Mach. Intell. Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Atsuto Maki, Stefan Carlsson
2016	—	`—`	Visual Representations and Models: From Latent SVM to Deep Learning. Hossein Azizpour
2015	—	`conf`	From generic to specific deep representations for visual recognition. CVPR Workshops Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Atsuto Maki, Stefan Carlsson
2015	—	`conf`	Persistent Evidence of Local Image Properties in Generic ConvNets. SCIA Ali Sharif Razavian, Hossein Azizpour, Atsuto Maki, Josephine Sullivan, Carl Henrik Ek, Stefan Carlsson
2015	A	`conf`	Spotlight the Negatives: A Generalized Discriminative Latent Model. BMVC Hossein Azizpour, Mostafa Arefiyan, Sobhan Naderi Parizi, Stefan Carlsson
2015	J	`jnl`	Spotlight the Negatives: A Generalized Discriminative Latent Model. CoRR Hossein Azizpour, Mostafa Arefiyan, Sobhan Naderi Parizi, Stefan Carlsson
2014	—	`conf`	CNN Features Off-the-Shelf: An Astounding Baseline for Recognition. CVPR Workshops Ali Sharif Razavian, Hossein Azizpour, Josephine Sullivan, Stefan Carlsson
2014	J	`jnl`	CNN Features off-the-shelf: an Astounding Baseline for Recognition. CoRR Ali Sharif Razavian, Hossein Azizpour, Josephine Sullivan, Stefan Carlsson
2014	J	`jnl`	From Generic to Specific Deep Representations for Visual Recognition. CoRR Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Atsuto Maki, Stefan Carlsson
2014	J	`jnl`	Persistent Evidence of Local Image Properties in Generic ConvNets. CoRR Ali Sharif Razavian, Hossein Azizpour, Atsuto Maki, Josephine Sullivan, Carl Henrik Ek, Stefan Carlsson
2014	J	`jnl`	Self-tuned Visual Subclass Learning with Shared Samples An Incremental Approach. CoRR Hossein Azizpour, Stefan Carlsson
2013	A	`conf`	Multi-view Body Part Recognition with Random Forests. BMVC Vahid Kazemi, Magnus Burenius, Hossein Azizpour, Josephine Sullivan
2012	—	`conf`	Mixture Component Identification and Learning for Visual Recognition. ECCV (6) Omid Aghazadeh, Hossein Azizpour, Josephine Sullivan, Stefan Carlsson
2012	—	`conf`	Object Detection Using Strongly-Supervised Deformable Part Models. ECCV (1) Hossein Azizpour, Ivan Laptev