Bagdanov, Andrew D.

31 publications

NeurIPS 2025 Accurate and Efficient Low-Rank Model Merging in Core Space Aniello Panariello, Daniel Marczak, Simone Magistri, Angelo Porrello, Bartłomiej Twardowski, Andrew D. Bagdanov, Simone Calderara, Joost van de Weijer

NeurIPS 2025 Covariances for Free: Exploiting Mean Distributions for Training-Free Federated Learning Dipam Goswami, Simone Magistri, Kai Wang, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer

ICLR 2025 Cross the Gap: Exposing the Intra-Modal Misalignment in CLIP via Modality Inversion Marco Mistretta, Alberto Baldrati, Lorenzo Agnolucci, Marco Bertini, Andrew D. Bagdanov

ICML 2025 No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces Daniel Marczak, Simone Magistri, Sebastian Cygert, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost Van De Weijer

CoLLAs 2024 An Empirical Analysis of Forgetting in Pre-Trained Models with Incremental Low-Rank Updates Albin Soutif, Simone Magistri, Joost van de Weijer, Andrew D. Bagdanov

ICLR 2024 Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning Simone Magistri, Tomaso Trinci, Albin Soutif, Joost van de Weijer, Andrew D. Bagdanov

ECCVW 2024 How Green Is Continual Learning, Really? Analyzing the Energy Consumption in Continual Training of Vision Foundation Models Tomaso Trinci, Simone Magistri, Roberto Verdecchia, Andrew D. Bagdanov

ECCV 2024 Improving Zero-Shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation Marco Mistretta, Alberto Baldrati, Marco Bertini, Andrew D. Bagdanov

ECCVW 2024 Incremental and Decremental Continual Learning for Privacy-Preserving Video Recognition Lorenzo Caselli, Simone Magistri, Tommaso Bianconcini, Andrea Benericetti, Douglas Coimbra de Andrade, Andrew D. Bagdanov

ECCVW 2024 Self-Supervised Road Accident Anticipation with Non-Decreasing Danger Aurel Pjetri, Davide Abbondandolo, Douglas Coimbra de Andrade, Stefano Caprasecca, Francesco Sambo, Andrew D. Bagdanov

CVPR 2024 Task-Adaptive Saliency Guidance for Exemplar-Free Class Incremental Learning Xialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng

ICCV 2023 Masked Autoencoders Are Efficient Class Incremental Learners Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng

ICLR 2023 Planckian Jitter: Countering the Color-Crippling Effects of Color Jitter on Self-Supervised Training Simone Zini, Alex Gomez-Villa, Marco Buzzelli, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost Van De Weijer

CVPRW 2022 Continually Learning Self-Supervised Representations with Projected Functional Regularization Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer

ECCV 2022 Long-Tailed Class Incremental Learning Xialei Liu, Yu-Song Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng

CVPRW 2020 Generative Feature Replay for Class-Incremental Learning Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer

NeurIPS 2020 RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning Riccardo Del Chiaro, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer

ICMLW 2020 RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning Riccardo Del Chiaro, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost Van De Weijer

ECCV 2020 Task-Conditioned Domain Adaptation for Pedestrian Detection in Thermal Imagery My Kieu, Andrew D. Bagdanov, Marco Bertini, Alberto del Bimbo

CVPRW 2018 Word Spotting in Scene Images Based on Character Recognition Dena Bazazian, Dimosthenis Karatzas, Andrew D. Bagdanov

WACV 2017 Bandwidth Limited Object Recognition in High Resolution Imagery Laura Lopez-Fuentes, Andrew D. Bagdanov, Joost van de Weijer, Harald Skinnemoen

ICCV 2017 Domain-Adaptive Deep Network Compression Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, Jose M. Alvarez

ICCV 2017 RankIQA: Learning from Rankings for No-Reference Image Quality Assessment Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov

ICCVW 2017 Reading Text in the Wild from Compressed Images Leonardo Galteri, Dena Bazazian, Lorenzo Seidenari, Marco Bertini, Andrew D. Bagdanov, Anguelos Nicolaou, Dimosthenis Karatzas, Alberto Del Bimbo

CVPRW 2013 Using 3D Models to Recognize 2D Faces in the Wild Iacopo Masi, Giuseppe Lisanti, Andrew D. Bagdanov, Pietro Pala, Alberto Del Bimbo

CVPR 2012 Color Attributes for Object Detection Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Andrew D. Bagdanov, María Vanrell, Antonio M. López

ECCV 2012 Identity Inference: Generalizing Person Re-Identification Scenarios Svebor Karaman, Andrew D. Bagdanov

ECCVW 2012 Identity Inference: Generalizing Person Re-Identification Scenarios Svebor Karaman, Andrew D. Bagdanov

NeurIPS 2011 Portmanteau Vocabularies for Multi-Cue Image Representation Fahad S. Khan, Joost Weijer, Andrew D. Bagdanov, Maria Vanrell

CVPR 2010 Harmony Potentials for Joint Classification and Segmentation Josep M. Gonfaus, Xavier Boix Bosch, Joost van de Weijer, Andrew D. Bagdanov, Joan Serrat Gual, Jordi Gonzàlez

ECCV 2010 Recursive Coarse-to-Fine Localization for Fast Object Detection Marco Pedersoli, Jordi Gonzàlez, Andrew D. Bagdanov, Juan José Villanueva