Hossein Azizpour
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
10
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ECAI | A Non-Adversarial Approach to Idempotent Generative Modelling. | Mohammed Al-Jaff, Giovanni Luca Marchetti, Michael C. Welle, Jens Lundell, Mats G. Gustafsson, Gustav Eje Henter, Hossein Azizpour, Danica Kragic |
| 2025 | ICCV | On the Complexity-Faithfulness Trade-Off of Gradient-Based Explanations. | Amir Mehrpanah, Matteo Gamba, Kevin Smith, Hossein Azizpour |
| 2025 | ICLR | SFESS: Score Function Estimators for k-Subset Sampling. | Klas Wijk, Ricardo Vinuesa, Hossein Azizpour |
| 2025 | ICML | Energy-Based Flow Matching for Generating 3D Molecular Structure. | Wenyin Zhou, Christopher Iliffe Sprague, Vsevolod Viliuga, Matteo Tadiello, Arne Elofsson, Hossein Azizpour |
| 2025 | WACV | Leveraging Satellite Image Time Series for Accurate Extreme Event Detection. | Heng Fang, Hossein Azizpour |
| 2025 | WACV | Inverse Problems with Diffusion Models: A MAP Estimation Perspective. | Sai Bharath Chandra Gutha, Ricardo Vinuesa, Hossein Azizpour |
| 2024 | ECCV | Medical Image Segmentation with SAM-Generated Annotations. | Iira Hkkinen, Iaroslav Melekhov, Erik Englesson, Hossein Azizpour, Juho Kannala |
| 2024 | ECCV | On Spectral Properties of Gradient-Based Explanation Methods. | Amir Mehrpanah, Erik Englesson, Hossein Azizpour |
| 2024 | ICLR | Robust Classification via Regression for Learning with Noisy Labels. | Erik Englesson, Hossein Azizpour |
| 2024 | ICML | 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 |
| 2023 | BMVC | On the Lipschitz Constant of Deep Networks and Double Descent. | Matteo Gamba, Hossein Azizpour, Mrten Bjrkman |
| 2023 | ICCV | To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation. | Marc Botet Colomer, Pier Luigi Dovesi, Theodoros Panagiotakopoulos, Joao Frederico Carvalho, Linus Hrenstam-Nielsen, Hossein Azizpour, Hedvig Kjellstrm, Daniel Cremers, Matteo Poggi |
| 2023 | WACV | PatchDropout: Economizing Vision Transformers Using Patch Dropout. | Yue Liu, Christos Matsoukas, Fredrik Strand, Hossein Azizpour, Kevin Smith |
| 2022 | AISTATS | Are All Linear Regions Created Equal? | Matteo Gamba, Adrian Chmielewski-Anders, Josephine Sullivan, Hossein Azizpour, Mrten Bjrkman |
| 2020 | ECCV | Explanation-Based Weakly-Supervised Learning of Visual Relations with Graph Networks. | Federico Baldassarre, Kevin Smith, Josephine Sullivan, Hossein Azizpour |
| 2020 | MICCAI | Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models. | Yue Liu, Hossein Azizpour, Fredrik Strand, Kevin Smith |
| 2018 | ICML | Bayesian Uncertainty Estimation for Batch Normalized Deep Networks. | Mattias Teye, Hossein Azizpour, Kevin Smith |
| 2017 | ICLR | The Preimage of Rectifier Network Activities. | Stefan Carlsson, Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Kevin Smith |
| 2015 | BMVC | Spotlight the Negatives: A Generalized Discriminative Latent Model. | Hossein Azizpour, Mostafa Arefiyan, Sobhan Naderi Parizi, Stefan Carlsson |
| 2015 | CVPR | From generic to specific deep representations for visual recognition. | Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Atsuto Maki, Stefan Carlsson |
| 2014 | CVPR | CNN Features Off-the-Shelf: An Astounding Baseline for Recognition. | Ali Sharif Razavian, Hossein Azizpour, Josephine Sullivan, Stefan Carlsson |
| 2013 | BMVC | Multi-view Body Part Recognition with Random Forests. | Vahid Kazemi, Magnus Burenius, Hossein Azizpour, Josephine Sullivan |
| 2012 | ECCV | Mixture Component Identification and Learning for Visual Recognition. | Omid Aghazadeh, Hossein Azizpour, Josephine Sullivan, Stefan Carlsson |
| 2012 | ECCV | Object Detection Using Strongly-Supervised Deformable Part Models. | Hossein Azizpour, Ivan Laptev |