Andrew D. Bagdanov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
62
Venues
17
Active years
1997–2026
Best venue rank
A*
Where they publish
Papers
62 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | No MoCap Needed: Post-Training Motion Diffusion Models with Reinforcement Learning using Only Textual Prompts. | Girolamo Macaluso, Lorenzo Mandelli, Mirko Bicchierai, Stefano Berretti, Andrew D. Bagdanov |
| 2025 | ICLR | Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion. | Marco Mistretta, Alberto Baldrati, Lorenzo Agnolucci, Marco Bertini, Andrew D. Bagdanov |
| 2025 | ICML | No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces. | Daniel Marczak, Simone Magistri, Sebastian Cygert, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer |
| 2024 | CNSM | The intrinsic convenience of federated learning in malware IoT detection. | Chiara Camerota, Tommaso Pecorella, Andrew D. Bagdanov |
| 2024 | CVPR | Task-Adaptive Saliency Guidance for Exemplar-Free Class Incremental Learning. | Xialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng |
| 2024 | ECCV | 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 |
| 2024 | ECCV | Exemplar-Free Continual Representation Learning via Learnable Drift Compensation. | Alex Gomez-Villa, Dipam Goswami, Kai Wang, Andrew D. Bagdanov, Bartlomiej Twardowski, Joost van de Weijer |
| 2024 | ECCV | Improving Zero-Shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation. | Marco Mistretta, Alberto Baldrati, Marco Bertini, Andrew D. Bagdanov |
| 2024 | ECCV | Self-supervised Road Accident Anticipation with Non-decreasing Danger. | Aurel Pjetri, Davide Abbondandolo, Douglas Coimbra de Andrade, Stefano Caprasecca, Francesco Sambo, Andrew D. Bagdanov |
| 2024 | ECCV | 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 |
| 2024 | ICLR | Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning. | Simone Magistri, Tomaso Trinci, Albin Soutif-Cormerais, Joost van de Weijer, Andrew D. Bagdanov |
| 2023 | ICCV | Masked Autoencoders are Efficient Class Incremental Learners. | Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng |
| 2023 | ICLR | Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training. | Simone Zini, Alex Gomez-Villa, Marco Buzzelli, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer |
| 2022 | CVPR | Continually Learning Self-Supervised Representations with Projected Functional Regularization. | Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer |
| 2022 | ECCV | Long-Tailed Class Incremental Learning. | Xialei Liu, Yusong Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng |
| 2020 | CVPR | 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 |
| 2020 | ECCV | Task-Conditioned Domain Adaptation for Pedestrian Detection in Thermal Imagery. | My Kieu, Andrew D. Bagdanov, Marco Bertini, Alberto Del Bimbo |
| 2020 | ICPR | Robust pedestrian detection in thermal imagery using synthesized images. | My Kieu, Lorenzo Berlincioni, Leonardo Galteri, Marco Bertini, Andrew D. Bagdanov, Alberto Del Bimbo |
| 2019 | ICIAP | GADA: Generative Adversarial Data Augmentation for Image Quality Assessment. | Pietro Bongini, Riccardo Del Chiaro, Andrew D. Bagdanov, Alberto Del Bimbo |
| 2019 | ICIAP | Domain Adaptation for Privacy-Preserving Pedestrian Detection in Thermal Imagery. | My Kieu, Andrew D. Bagdanov, Marco Bertini, Alberto Del Bimbo |
| 2018 | CVPR | Word Spotting in Scene Images Based on Character Recognition. | Dena Bazazian, Dimosthenis Karatzas, Andrew D. Bagdanov |
| 2018 | CVPR | Leveraging Unlabeled Data for Crowd Counting by Learning to Rank. | Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov |
| 2018 | ICPR | Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. | Xialei Liu, Marc Masana, Luis Herranz, Joost van de Weijer, Antonio M. Lpez, Andrew D. Bagdanov |
| 2017 | ICCV | RankIQA: Learning from Rankings for No-Reference Image Quality Assessment. | Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov |
| 2017 | ICCV | Domain-Adaptive Deep Network Compression. | Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, Jos M. lvarez |
| 2017 | ICDAR | Visual Attention Models for Scene Text Recognition. | Suman K. Ghosh, Ernest Valveny, Andrew D. Bagdanov |
| 2017 | WACV | Bandwidth Limited Object Recognition in High Resolution Imagery. | Laura Lopez-Fuentes, Andrew D. Bagdanov, Joost van de Weijer, Harald Skinnemoen |
| 2016 | DAS | Visual Script and Language Identification. | Anguelos Nicolaou, Andrew D. Bagdanov, Lluis Gomez i Bigorda, Dimosthenis Karatzas |
| 2016 | ICIP | Hierarchical part detection with deep neural networks. | Esteve Cervantes, Longlong Yu, Andrew D. Bagdanov, Marc Masana, Joost van de Weijer |
| 2015 | AVSS | MORF: Multi-Objective Random Forests for face characteristic estimation. | Dario Di Fina, Svebor Karaman, Andrew D. Bagdanov, Alberto Del Bimbo |
| 2015 | ICDAR | ICDAR 2015 competition on Robust Reading. | Dimosthenis Karatzas, Lluis Gomez-Bigorda, Anguelos Nicolaou, Suman K. Ghosh, Andrew D. Bagdanov, Masakazu Iwamura, Jiri Matas, Luks Neumann, Vijay Ramaseshan Chandrasekhar, Shijian Lu, Faisal Shafait, Seiichi Uchida, Ernest Valveny |
| 2015 | ICDAR | Sparse radial sampling LBP for writer identification. | Anguelos Nicolaou, Andrew D. Bagdanov, Marcus Liwicki, Dimosthenis Karatzas |
| 2014 | AVSS | Real-time people counting from depth imagery of crowded environments. | Enrico Bondi, Lorenzo Seidenari, Andrew D. Bagdanov, Alberto Del Bimbo |
| 2014 | ICPR | Fisher Vectors over Random Density Forests for Object Recognition. | Claudio Baecchi, Francesco Turchini, Lorenzo Seidenari, Andrew D. Bagdanov, Alberto Del Bimbo |
| 2014 | ICPR | Unsupervised Scene Adaptation for Faster Multi-scale Pedestrian Detection. | Federico Bartoli, Giuseppe Lisanti, Svebor Karaman, Andrew D. Bagdanov, Alberto Del Bimbo |
| 2014 | ICPR | Scale Coding Bag-of-Words for Action Recognition. | Fahad Shahbaz Khan, Joost van de Weijer, Andrew D. Bagdanov, Michael Felsberg |
| 2013 | CVPR | Using 3D Models to Recognize 2D Faces in the Wild. | Iacopo Masi, Giuseppe Lisanti, Andrew D. Bagdanov, Pietro Pala, Alberto Del Bimbo |
| 2013 | ICDAR | Document Classification and Page Stream Segmentation for Digital Mailroom Applications. | Albert Gordo, Maral Rusiol, Dimosthenis Karatzas, Andrew D. Bagdanov |
| 2013 | ICIAP | Multi-target Data Association Using Sparse Reconstruction. | Andrew D. Bagdanov, Alberto Del Bimbo, Dario Di Fina, Svebor Karaman, Giuseppe Lisanti, Iacopo Masi |
| 2013 | ICIAP | Passive Profiling and Natural Interaction Metaphors for Personalized Multimedia Museum Experiences. | Svebor Karaman, Andrew D. Bagdanov, Gianpaolo D'Amico, Lea Landucci, Andrea Ferracani, Daniele Pezzatini, Alberto Del Bimbo |
| 2012 | CVPR | Color attributes for object detection. | Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Andrew D. Bagdanov, Mara Vanrell, Antonio M. Lpez |
| 2012 | ECCV | Identity Inference: Generalizing Person Re-identification Scenarios. | Svebor Karaman, Andrew D. Bagdanov |
| 2012 | ICPR | Multi-pose face detection for accurate face logging. | Andrew D. Bagdanov, Alberto Del Bimbo, Giuseppe Lisanti, Iacopo Masi |
| 2012 | ICPR | Real-time hand status recognition from RGB-D imagery. | Andrew D. Bagdanov, Alberto Del Bimbo, Lorenzo Seidenari, Lorenzo Usai |
| 2012 | ICPR | Multipage document retrieval by textual and visual representations. | Maral Rusiol, Dimosthenis Karatzas, Andrew D. Bagdanov, Josep Llads |
| 2011 | ISM | Adaptive Video Compression for Video Surveillance Applications. | Andrew D. Bagdanov, Marco Bertini, Alberto Del Bimbo, Lorenzo Seidenari |
| 2010 | CVPR | Harmony potentials for joint classification and segmentation. | Josep M. Gonfaus, Xavier Boix Bosch, Joost van de Weijer, Andrew D. Bagdanov, Joan Serrat Gual, Jordi Gonzlez |
| 2010 | ECCV | Recursive Coarse-to-Fine Localization for Fast Object Detection. | Marco Pedersoli, Jordi Gonzlez, Andrew D. Bagdanov, Juan Jos Villanueva |
| 2010 | ICPR | Reactive Object Tracking with a Single PTZ Camera. | Murad Al Haj, Andrew D. Bagdanov, Jordi Gonzlez, F. Xavier Roca |
| 2009 | IBPRIA | Towards Real-Time Human Action Recognition. | Bhaskar Chakraborty, Andrew D. Bagdanov, Jordi Gonzlez |
| 2009 | IBPRIA | Robust and Efficient Multipose Face Detection Using Skin Color Segmentation. | Murad Al Haj, Andrew D. Bagdanov, Jordi Gonzlez, F. Xavier Roca |
| 2007 | AVSS | Improving the robustness of particle filter-based visual trackers using online parameter adaptation. | Andrew D. Bagdanov, Alberto Del Bimbo, Fabrizio Dini, Walter Nunziati |
| 2007 | ICIAP | Adaptive uncertainty estimation for particle filter-based trackers. | Andrew D. Bagdanov, Alberto Del Bimbo, Fabrizio Dini, Walter Nunziati |
| 2006 | AVSS | Learning Foveal Sensing Strategies in Unconstrained Surveillance Environments. | Andrew D. Bagdanov, Alberto Del Bimbo, Walter Nunziati, Federico Pernici |
| 2006 | ICPR | Improving evidential quality of surveillance imagery through active face tracking. | Andrew D. Bagdanov, Alberto Del Bimbo, Walter Nunziati |
| 2004 | EuroPar | Towards User Transparent Data and Task Parallel Image and Video Processing: An Overview of the Parallel-Horus Project. | Frank J. Seinstra, Dennis C. Koelma, Andrew D. Bagdanov |
| 2003 | ICDAR | Understanding Document Analysis and Understanding (through Modeling). | Bertin Klein, Stefan Agne, Andrew D. Bagdanov |
| 2002 | DAS | Multi-scale Document Description Using Rectangular Granulometries. | Andrew D. Bagdanov, Marcel Worring |
| 2002 | ICPR | Granulometric Analysis of Document Images. | Andrew D. Bagdanov, Marcel Worring |
| 2002 | SOFSEM | Interactive Indexing and Retrieval of Multimedia Content. | Marcel Worring, Andrew D. Bagdanov, Jan C. van Gemert, Jan-Mark Geusebroek, Hoang Minh, Guus Schreiber, Cees Snoek, Jeroen Vendrig, Jan Wielemaker, Arnold W. M. Smeulders |
| 2001 | ICDAR | Fine-Grained Document Genre Classification Using First Order Random Graphs. | Andrew D. Bagdanov, Marcel Worring |
| 1997 | ICDAR | Projection profile based skew estimation algorithm for JBIG compressed images. | Andrew D. Bagdanov, Junichi Kanai |