Evaluation of document image skew estimation techniques. - Andrew D. Bagdanov; Junichi Kanai (Document Recognition, 1996)

Projection profile based skew estimation algorithm for JBIG compressed images. - Junichi Kanai; Andrew D. Bagdanov (Int. J. Document Anal. Recognit., 1998)

Fine-Grained Document Genre Classification Using First Order Random Graphs. - Andrew D. Bagdanov; Marcel Worring (ICDAR, 2001)

Multi-scale Document Description Using Rectangular Granulometries. - Andrew D. Bagdanov; Marcel Worring (Document Analysis Systems, 2002)

Granulometric Analysis of Document Images. - Andrew D. Bagdanov; Marcel Worring (ICPR (1), 2002)

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 (SOFSEM, 2002)

Understanding Document Analysis and Understanding (through Modeling). - Bertin Klein; Stefan Agne; Andrew D. Bagdanov (ICDAR, 2003)

First order Gaussian graphs for efficient structure classification. - Andrew D. Bagdanov; Marcel Worring (Pattern Recognit., 2003)

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 (Euro-Par, 2004)

Finite State Machine-Based Optimization of Data Parallel Regular Domain Problems Applied in Low-Level Image Processing. - Frank J. Seinstra; Dennis C. Koelma; Andrew D. Bagdanov (IEEE Trans. Parallel Distributed Syst., 2004)

Acquisition of high-resolution images through on-line saccade sequence planning. - Andrew D. Bagdanov; Alberto Del Bimbo; Federico Pernici (VSSN@MM, 2005)

Learning Foveal Sensing Strategies in Unconstrained Surveillance Environments. - Andrew D. Bagdanov; Alberto Del Bimbo; Walter Nunziati; Federico Pernici (AVSS, 2006)

Improving evidential quality of surveillance imagery through active face tracking. - Andrew D. Bagdanov; Alberto Del Bimbo; Walter Nunziati (ICPR (3), 2006)

A reinforcement learning approach to active camera foveation. - Andrew D. Bagdanov; Alberto Del Bimbo; Walter Nunziati; Federico Pernici (VSSN@MM, 2006)

Boosting Color Saliency in Image Feature Detection. - Joost van de Weijer 001; Theo Gevers; Andrew D. Bagdanov (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Improving the robustness of particle filter-based visual trackers using online parameter adaptation. - Andrew D. Bagdanov; Alberto Del Bimbo; Fabrizio Dini; Walter Nunziati (AVSS, 2007)

Adaptive uncertainty estimation for particle filter-based trackers. - Andrew D. Bagdanov; Alberto Del Bimbo; Fabrizio Dini; Walter Nunziati (ICIAP, 2007)

Trademark matching and retrieval in sports video databases. - Andrew D. Bagdanov; Lamberto Ballan; Marco Bertini 001; Alberto Del Bimbo (Multimedia Information Retrieval, 2007)

Semantic annotation and retrieval of video events using multimedia ontologies. - Andrew D. Bagdanov; Marco Bertini 001; Alberto Del Bimbo; Giuseppe Serra 001; Carlo Torniai (ICSC, 2007)

Towards Real-Time Human Action Recognition. - Bhaskar Chakraborty; Andrew D. Bagdanov; Jordi Gonzàlez 001 (IbPRIA, 2009)

Robust and Efficient Multipose Face Detection Using Skin Color Segmentation. - Murad Al Haj; Andrew D. Bagdanov; Jordi Gonzàlez 001; F. Xavier Roca (IbPRIA, 2009)

Automatic Key Pose Selection for 3D Human Action Recognition. - Wenjuan Gong; Andrew D. Bagdanov; F. Xavier Roca; Jordi Gonzàlez 001 (AMDO, 2010)

Harmony potentials for joint classification and segmentation. - Josep M. Gonfaus; Xavier Boix Bosch; Joost van de Weijer 001; Andrew D. Bagdanov; Joan Serrat Gual; Jordi Gonzàlez 001 (CVPR, 2010)

Recursive Coarse-to-Fine Localization for Fast Object Detection. - Marco Pedersoli; Jordi Gonzàlez 001; Andrew D. Bagdanov; Juan José Villanueva (ECCV (6), 2010)

Reactive Object Tracking with a Single PTZ Camera. - Murad Al Haj; Andrew D. Bagdanov; Jordi Gonzàlez 001; F. Xavier Roca (ICPR, 2010)

Adaptive Video Compression for Video Surveillance Applications. - Andrew D. Bagdanov; Marco Bertini 001; Alberto Del Bimbo; Lorenzo Seidenari (ISM, 2011)

The florence 2D/3D hybrid face dataset. - Andrew D. Bagdanov; Alberto Del Bimbo; Iacopo Masi (J-HGBU@MM, 2011)

MNEMOSYNE: Enhancing the Museum Experience through Interactive Media and Visual Profiling. - Andrew D. Bagdanov; Alberto Del Bimbo; Lea Landucci; Federico Pernici (MM4CH, 2011)

Multimedia for Cultural Heritage: Key Issues. - Rita Cucchiara; Costantino Grana; Daniele Borghesani; Maristella Agosti; Andrew D. Bagdanov (MM4CH, 2011)

Portmanteau Vocabularies for Multi-Cue Image Representation. - Fahad Shahbaz Khan; Joost van de Weijer 001; Andrew D. Bagdanov; María Vanrell 001 (NIPS, 2011)

Efficient discriminative multiresolution cascade for real-time human detection applications. - Marco Pedersoli; Jordi Gonzàlez 001; Andrew D. Bagdanov; F. Xavier Roca (Pattern Recognit. Lett., 2011)

Accurate Moving Cast Shadow Suppression Based on Local Color Constancy Detection. - Ariel Amato; Mikhail G. Mozerov; Andrew D. Bagdanov; Jordi Gonzàlez 001 (IEEE Trans. Image Process., 2011)

Color attributes for object detection. - Fahad Shahbaz Khan; Rao Muhammad Anwer; Joost van de Weijer 001; Andrew D. Bagdanov; María Vanrell 001; Antonio M. López 001 (CVPR, 2012)

Identity Inference: Generalizing Person Re-identification Scenarios. - Svebor Karaman; Andrew D. Bagdanov (ECCV Workshops (1), 2012)

Multi-pose face detection for accurate face logging. - Andrew D. Bagdanov; Alberto Del Bimbo; Giuseppe Lisanti; Iacopo Masi (ICPR, 2012)

Real-time hand status recognition from RGB-D imagery. - Andrew D. Bagdanov; Alberto Del Bimbo; Lorenzo Seidenari; Lorenzo Usai (ICPR, 2012)

Multipage document retrieval by textual and visual representations. - Marçal Rusiñol; Dimosthenis Karatzas; Andrew D. Bagdanov; Josep Lladós 001 (ICPR, 2012)

Florence faces: A dataset supporting 2D/3D face recognition. - Andrew D. Bagdanov; Alberto Del Bimbo; Iacopo Masi (ISCCSP, 2012)

Posterity Logging of Face Imagery for Video Surveillance. - Andrew D. Bagdanov; Alberto Del Bimbo; Fabrizio Dini; Giuseppe Lisanti; Iacopo Masi (IEEE Multim., 2012)

Harmony Potentials - Fusing Global and Local Scale for Semantic Image Segmentation. - Xavier Boix; Josep M. Gonfaus; Joost van de Weijer 001; Andrew D. Bagdanov; Joan Serrat Gual; Jordi Gonzàlez 001 (Int. J. Comput. Vis., 2012)

Using 3D Models to Recognize 2D Faces in the Wild. - Iacopo Masi; Giuseppe Lisanti; Andrew D. Bagdanov; Pietro Pala; Alberto Del Bimbo (CVPR Workshops, 2013)

Document Classification and Page Stream Segmentation for Digital Mailroom Applications. - Albert Gordo; Marçal Rusiñol; Dimosthenis Karatzas; Andrew D. Bagdanov (ICDAR, 2013)

Multi-target Data Association Using Sparse Reconstruction. - Andrew D. Bagdanov; Alberto Del Bimbo; Dario Di Fina; Svebor Karaman; Giuseppe Lisanti; Iacopo Masi (ICIAP (2), 2013)

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 (ICIAP Workshops, 2013)

Human action recognition using an ensemble of body-part detectors. - Bhaskar Chakraborty; Andrew D. Bagdanov; Jordi Gonzàlez 001; F. Xavier Roca (Expert Syst. J. Knowl. Eng., 2013)

Coloring Action Recognition in Still Images. - Fahad Shahbaz Khan; Rao Muhammad Anwer; Joost van de Weijer 001; Andrew D. Bagdanov; Antonio M. López 001; Michael Felsberg (Int. J. Comput. Vis., 2013)

Real-time people counting from depth imagery of crowded environments. - Enrico Bondi; Lorenzo Seidenari; Andrew D. Bagdanov; Alberto Del Bimbo (AVSS, 2014)

Fisher Vectors over Random Density Forests for Object Recognition. - Claudio Baecchi; Francesco Turchini; Lorenzo Seidenari; Andrew D. Bagdanov; Alberto Del Bimbo (ICPR, 2014)

Unsupervised Scene Adaptation for Faster Multi-scale Pedestrian Detection. - Federico Bartoli; Giuseppe Lisanti; Svebor Karaman; Andrew D. Bagdanov; Alberto Del Bimbo (ICPR, 2014)

Scale Coding Bag-of-Words for Action Recognition. - Fahad Shahbaz Khan; Joost van de Weijer 001; Andrew D. Bagdanov; Michael Felsberg (ICPR, 2014)

Multimodal page classification in administrative document image streams. - Marçal Rusiñol; Volkmar Frinken; Dimosthenis Karatzas; Andrew D. Bagdanov; Josep Lladós 001 (Int. J. Document Anal. Recognit., 2014)

Local Pyramidal Descriptors for Image Recognition. - Lorenzo Seidenari; Giuseppe Serra 001; Andrew D. Bagdanov; Alberto Del Bimbo (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Leveraging local neighborhood topology for large scale person re-identification. - Svebor Karaman; Giuseppe Lisanti; Andrew D. Bagdanov; Alberto Del Bimbo (Pattern Recognit., 2014)

From Re-identification to Identity Inference: Labeling Consistency by Local Similarity Constraints. - Svebor Karaman; Giuseppe Lisanti; Andrew D. Bagdanov; Alberto Del Bimbo (Person Re-Identification, 2014)

MORF: Multi-Objective Random Forests for face characteristic estimation. - Dario Di Fina; Svebor Karaman; Andrew D. Bagdanov; Alberto Del Bimbo (AVSS, 2015)

ICDAR 2015 competition on Robust Reading. - Dimosthenis Karatzas; Lluis Gomez-Bigorda; Anguelos Nicolaou; Suman K. Ghosh; Andrew D. Bagdanov; Masakazu Iwamura; Jiri Matas; Lukás Neumann; Vijay Ramaseshan Chandrasekhar; Shijian Lu; Faisal Shafait; Seiichi Uchida; et al. (ICDAR, 2015)

Sparse radial sampling LBP for writer identification. - Anguelos Nicolaou; Andrew D. Bagdanov; Marcus Liwicki; Dimosthenis Karatzas (ICDAR, 2015)

Person Re-Identification by Iterative Re-Weighted Sparse Ranking. - Giuseppe Lisanti; Iacopo Masi; Andrew D. Bagdanov; Alberto Del Bimbo (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Recognizing Actions Through Action-Specific Person Detection. - Fahad Shahbaz Khan; Jiaolong Xu; Joost van de Weijer 001; Andrew D. Bagdanov; Rao Muhammad Anwer; Antonio M. López 001 (IEEE Trans. Image Process., 2015)

Visual Script and Language Identification. - Anguelos Nicolaou; Andrew D. Bagdanov; Lluis Gomez i Bigorda; Dimosthenis Karatzas (DAS, 2016)

Hierarchical part detection with deep neural networks. - Esteve Cervantes; Longlong Yu; Andrew D. Bagdanov; Marc Masana; Joost van de Weijer 001 (ICIP, 2016)

On-the-fly Network Pruning for Object Detection. - Marc Masana; Joost van de Weijer 001; Andrew D. Bagdanov (CoRR, 2016)

Personalized multimedia content delivery on an interactive table by passive observation of museum visitors. - Svebor Karaman; Andrew D. Bagdanov; Lea Landucci; Gianpaolo D'Amico; Andrea Ferracani; Daniele Pezzatini; Alberto Del Bimbo (Multim. Tools Appl., 2016)

RankIQA: Learning from Rankings for No-Reference Image Quality Assessment. - Xialei Liu; Joost van de Weijer 001; Andrew D. Bagdanov (ICCV, 2017)

Domain-Adaptive Deep Network Compression. - Marc Masana; Joost van de Weijer 001; Luis Herranz; Andrew D. Bagdanov; José M. Álvarez 004 (ICCV, 2017)

Reading Text in the Wild from Compressed Images. - Leonardo Galteri; Dena Bazazian; Lorenzo Seidenari; Marco Bertini 001; Andrew D. Bagdanov; Anguelos Nicolaou; Dimosthenis Karatzas; Alberto Del Bimbo (ICCV Workshops, 2017)

Visual Attention Models for Scene Text Recognition. - Suman K. Ghosh; Ernest Valveny; Andrew D. Bagdanov (ICDAR, 2017)

Bandwidth Limited Object Recognition in High Resolution Imagery. - Laura Lopez-Fuentes; Andrew D. Bagdanov; Joost van de Weijer 001; Harald Skinnemoen (WACV, 2017)

Improving Text Proposals for Scene Images with Fully Convolutional Networks. - Dena Bazazian; Raul Gomez; Anguelos Nicolaou; Lluís Gómez i Bigorda; Dimosthenis Karatzas; Andrew D. Bagdanov (CoRR, 2017)

Review on Computer Vision Techniques in Emergency Situation. - Laura Lopez-Fuentes; Joost van de Weijer 001; Manuel González Hidalgo; Harald Skinnemoen; Andrew D. Bagdanov (CoRR, 2017)

Word Spotting in Scene Images Based on Character Recognition. - Dena Bazazian; Dimosthenis Karatzas; Andrew D. Bagdanov (CVPR Workshops, 2018)

Leveraging Unlabeled Data for Crowd Counting by Learning to Rank. - Xialei Liu; Joost van de Weijer 001; Andrew D. Bagdanov (CVPR, 2018)

Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. - Xialei Liu; Marc Masana; Luis Herranz; Joost van de Weijer 001; Antonio M. López 001; Andrew D. Bagdanov (ICPR, 2018)

Soft-PHOC Descriptor for End-to-End Word Spotting in Egocentric Scene Images. - Dena Bazazian; Dimosthenis Karatzas; Andrew D. Bagdanov (CoRR, 2018)

Review on computer vision techniques in emergency situations. - Laura Lopez-Fuentes; Joost van de Weijer 001; Manuel González Hidalgo; Harald Skinnemoen; Andrew D. Bagdanov (Multim. Tools Appl., 2018)

Scale coding bag of deep features for human attribute and action recognition. - Fahad Shahbaz Khan; Joost van de Weijer 001; Rao Muhammad Anwer; Andrew D. Bagdanov; Michael Felsberg; Jorma Laaksonen (Mach. Vis. Appl., 2018)

GADA: Generative Adversarial Data Augmentation for Image Quality Assessment. - Pietro Bongini; Riccardo Del Chiaro; Andrew D. Bagdanov; Alberto Del Bimbo (ICIAP (2), 2019)

Domain Adaptation for Privacy-Preserving Pedestrian Detection in Thermal Imagery. - My Kieu; Andrew D. Bagdanov; Marco Bertini 001; Alberto Del Bimbo (ICIAP (2), 2019)

DeepPhysio: Monitored Physiotherapeutic Exercise in the Comfort of your Own Home. - Gianmarco Sanesi; Andrew D. Bagdanov; Marco Bertini 001; Alberto Del Bimbo (ACM Multimedia, 2019)

NoisyArt: A Dataset for Webly-supervised Artwork Recognition. - Riccardo Del Chiaro; Andrew D. Bagdanov; Alberto Del Bimbo (VISIGRAPP (4: VISAPP), 2019)

Exploiting Unlabeled Data in CNNs by Self-Supervised Learning to Rank. - Xialei Liu; Joost van de Weijer 001; Andrew D. Bagdanov (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

FAST: Facilitated and Accurate Scene Text Proposals through FCN Guided Pruning. - Dena Bazazian; Raul Gomez; Anguelos Nicolaou; Lluís Gómez; Dimosthenis Karatzas; Andrew D. Bagdanov (Pattern Recognit. Lett., 2019)

Webly-supervised zero-shot learning for artwork instance recognition. - Riccardo Del Chiaro; Andrew D. Bagdanov; Alberto Del Bimbo (Pattern Recognit. Lett., 2019)

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 001 (CVPR Workshops, 2020)

Task-Conditioned Domain Adaptation for Pedestrian Detection in Thermal Imagery. - My Kieu; Andrew D. Bagdanov; Marco Bertini 001; Alberto Del Bimbo (ECCV (22), 2020)

Robust pedestrian detection in thermal imagery using synthesized images. - My Kieu; Lorenzo Berlincioni; Leonardo Galteri; Marco Bertini 001; Andrew D. Bagdanov; Alberto Del Bimbo (ICPR, 2020)

RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning. - Riccardo Del Chiaro; Bartlomiej Twardowski; Andrew D. Bagdanov; Joost van de Weijer 001 (NeurIPS, 2020)

Visual Question Answering for Cultural Heritage. - Pietro Bongini; Federico Becattini; Andrew D. Bagdanov; Alberto Del Bimbo (CoRR, 2020)

Class-incremental learning: survey and performance evaluation. - Marc Masana; Xialei Liu; Bartlomiej Twardowski; Mikel Menta; Andrew D. Bagdanov; Joost van de Weijer 001 (CoRR, 2020)

DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games. - Alessandro Sestini; Alexander Kuhnle; Andrew D. Bagdanov (CoRR, 2020)

Deep Policy Networks for NPC Behaviors that Adapt to Changing Design Parameters in Roguelike Games. - Alessandro Sestini; Alexander Kuhnle; Andrew D. Bagdanov (CoRR, 2020)

Demonstration-Efficient Inverse Reinforcement Learning in Procedurally Generated Environments. - Alessandro Sestini; Alexander Kuhnle; Andrew D. Bagdanov (CoG, 2021)

Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents. - Alessandro Sestini; Alexander Kuhnle; Andrew D. Bagdanov (CoG, 2021)

Bottom-up and Layerwise Domain Adaptation for Pedestrian Detection in Thermal Images. - My Kieu; Andrew D. Bagdanov; Marco Bertini 001 (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification. - Kai Wang 060; Chenshen Wu; Andy Bagdanov; Xialei Liu; Shiqi Yang; Shangling Jui; Joost van de Weijer 001 (BMVC, 2022)

Continually Learning Self-Supervised Representations with Projected Functional Regularization. - Alex Gomez-Villa; Bartlomiej Twardowski; Lu Yu 004; Andrew D. Bagdanov; Joost van de Weijer 001 (CVPR Workshops, 2022)

Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. - Kai Wang 060; Xialei Liu; Andy Bagdanov; Luis Herranz; Shangling Jui; Joost van de Weijer 001 (CVPR Workshops, 2022)

Long-Tailed Class Incremental Learning. - Xialei Liu; Yusong Hu; Xu-Sheng Cao; Andrew D. Bagdanov; Ke Li; Ming-Ming Cheng (ECCV (33), 2022)

CCPT: Automatic Gameplay Testing and Validation with Curiosity-Conditioned Proximal Trajectories. - Alessandro Sestini; Linus Gisslén; Joakim Bergdahl; Konrad Tollmar; Andrew D. Bagdanov (CoRR, 2022)

Gated Class-Attention with Cascaded Feature Drift Compensation for Exemplar-free Continual Learning of Vision Transformers. - Marco Cotogni; Fei Yang 004; Claudio Cusano; Andrew D. Bagdanov; Joost van de Weijer 001 (CoRR, 2022)

Robust Saliency Guidance for Data-free Class Incremental Learning. - Xialei Liu; Jiang-Tian Zhai; Andrew D. Bagdanov; Ke Li; Ming-Ming Cheng (CoRR, 2022)

Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning. - Alessandro Sestini; Joakim Bergdahl; Konrad Tollmar; Andrew D. Bagdanov; Linus Gisslén (CoG, 2023)

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

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 001 (ICLR, 2023)

Towards Continual Social Network Identification. - Simone Magistri; Daniele Baracchi; Dasara Shullani; Andrew D. Bagdanov; Alessandro Piva (IWBF, 2023)

Class Incremental Learning with Pre-trained Vision-Language Models. - Xialei Liu; Xusheng Cao; Haori Lu; Jia-Wen Xiao; Andrew D. Bagdanov; Ming-Ming Cheng (CoRR, 2023)

Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline Pre-Training with Model Based Augmentation. - Girolamo Macaluso; Alessandro Sestini; Andrew D. Bagdanov (CoRR, 2023)

Class-Incremental Learning: Survey and Performance Evaluation on Image Classification. - Marc Masana; Xialei Liu; Bartlomiej Twardowski; Mikel Menta; Andrew D. Bagdanov; Joost van de Weijer 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Benchmark Environment for Offline Reinforcement Learning in Racing Games. - Girolamo Macaluso; Alessandro Sestini; Andrew D. Bagdanov (CoG, 2024)

The intrinsic convenience of federated learning in malware IoT detection. - Chiara Camerota; Tommaso Pecorella; Andrew D. Bagdanov (CNSM, 2024)

An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates. - Albin Soutif; Simone Magistri; Joost van de Weijer 001; Andrew D. Bagdanov (CoLLAs, 2024)

Task-Adaptive Saliency Guidance for Exemplar-Free Class Incremental Learning. - Xialei Liu; Jiang-Tian Zhai; Andrew D. Bagdanov; Ke Li; Ming-Ming Cheng (CVPR, 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 (ECCV Workshops (21), 2024)

Exemplar-Free Continual Representation Learning via Learnable Drift Compensation. - Alex Gomez-Villa; Dipam Goswami; Kai Wang 060; Andrew D. Bagdanov; Bartlomiej Twardowski; Joost van de Weijer 001 (ECCV (7), 2024)

Improving Zero-Shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation. - Marco Mistretta; Alberto Baldrati; Marco Bertini 001; Andrew D. Bagdanov (ECCV (84), 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 (ECCV Workshops (7), 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 Workshops (22), 2024)

Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning. - Simone Magistri; Tomaso Trinci; Albin Soutif-Cormerais; Joost van de Weijer 001; Andrew D. Bagdanov (ICLR, 2024)

An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates. - Albin Soutif-Cormerais; Simone Magistri; Joost van de Weijer 001; Andrew D. Bagdanov (CoRR, 2024)

EUFCC-340K: A Faceted Hierarchical Dataset for Metadata Annotation in GLAM Collections. - Francesc Net; Marc Folia; Pep Casals; Andrew D. Bagdanov; Lluís Gómez (CoRR, 2024)

Offline Reinforcement Learning with Imputed Rewards. - Carlo Romeo; Andrew D. Bagdanov (CoRR, 2024)

A New Dataset for Monocular Depth Estimation Under Viewpoint Shifts. - Aurel Pjetri; Stefano Caprasecca; Leonardo Taccari; Matteo Simoncini; Henrique Piñeiro Monteagudo; Walter Wallace; Douglas Coimbra de Andrade; Francesco Sambo; Andrew D. Bagdanov (CoRR, 2024)

RE-tune: Incremental Fine Tuning of Biomedical Vision-Language Models for Multi-label Chest X-ray Classification. - Marco Mistretta; Andrew D. Bagdanov (CoRR, 2024)

Covariances for Free: Exploiting Mean Distributions for Federated Learning with Pre-Trained Models. - Dipam Goswami; Simone Magistri; Kai Wang 060; Bartlomiej Twardowski; Andrew D. Bagdanov; Joost van de Weijer 001 (CoRR, 2024)

Continual learning for adaptive social network identification. - Simone Magistri; Daniele Baracchi; Dasara Shullani; Andrew D. Bagdanov; Alessandro Piva (Pattern Recognit. Lett., 2024)

Automated Gameplay Testing and Validation With Curiosity-Conditioned Proximal Trajectories. - Alessandro Sestini; Linus Gisslén; Joakim Bergdahl; Konrad Tollmar; Andrew D. Bagdanov (IEEE Trans. Games, 2024)

NTRL: Encounter Generation via Reinforcement Learning for Dynamic Difficulty Adjustment in Dungeons and Dragons. - Carlo Romeo; Andrew D. Bagdanov (CoG, 2025)

Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion. - Marco Mistretta; Alberto Baldrati; Lorenzo Agnolucci; Marco Bertini 001; Andrew D. Bagdanov (ICLR, 2025)

SPEQ: Stabilization Phases for Efficient Q-Learning in High Update-To-Data Ratio Reinforcement Learning. - Carlo Romeo; Girolamo Macaluso; Alessandro Sestini; Andrew D. Bagdanov (CoRR, 2025)

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 001 (CoRR, 2025)

EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning. - Simone Magistri; Tomaso Trinci; Albin Soutif-Cormerais; Joost van de Weijer 001; Andrew D. Bagdanov (CoRR, 2025)

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning. - Alessandro Sestini; Joakim Bergdahl; Konrad Tollmar; Andrew D. Bagdanov; Linus Gisslén (CoRR, 2025)

Exemplar-Free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation. - Marco Cotogni; Fei Yang 004; Claudio Cusano; Andrew D. Bagdanov; Joost van de Weijer 001 (Int. J. Comput. Vis., 2025)