Andrew D. Bagdanov

168 papers A* 13A 8B 18C 6Misc 3Journal 84Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-Modal Prototype Alignment and Mixing for Training-Free Few-Shot Classification. CoRR Dipam Goswami, Simone Magistri, Gido M. van de Ven, Bartlomiej Twardowski, Andrew D. Bagdanov, Tinne Tuytelaars, Joost van de Weijer
2026	J	`jnl`	IsoCLIP: Decomposing CLIP Projectors for Efficient Intra-modal Alignment. CoRR Simone Magistri, Dipam Goswami, Marco Mistretta, Bartlomiej Twardowski, Joost van de Weijer, Andrew D. Bagdanov
2026	J	`jnl`	Modular Memory is the Key to Continual Learning Agents. CoRR Vaggelis Dorovatas, Malte Schwerin, Andrew D. Bagdanov, Lucas Caccia, Antonio Carta, Laurent Charlin, Barbara Hammer, Tyler L. Hayes, Timm Hess, Christopher Kanan, Dhireesha Kudithipudi, Xialei Liu, Vincenzo Lomonaco, Jorge Mendez-Mendez, Darshan Patil, Ameya Prabhu, Elisa Ricci, Tinne Tuytelaars, Gido M. van de Ven, Liyuan Wang, Joost van de Weijer, Jonghyun Choi, Martin Mundt, Rahaf Aljundi
2026	J	`jnl`	SpectralGCD: Spectral Concept Selection and Cross-modal Representation Learning for Generalized Category Discovery. CoRR Lorenzo Caselli, Marco Mistretta, Simone Magistri, Andrew D. Bagdanov
2025	J	`jnl`	Accurate and Efficient Low-Rank Model Merging in Core Space. CoRR Aniello Panariello, Daniel Marczak, Simone Magistri, Angelo Porrello, Bartlomiej Twardowski, Andrew D. Bagdanov, Simone Calderara, Joost van de Weijer
2025	A*	`conf`	Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion. ICLR Marco Mistretta, Alberto Baldrati, Lorenzo Agnolucci, Marco Bertini, Andrew D. Bagdanov
2025	J	`jnl`	Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion. CoRR Marco Mistretta, Alberto Baldrati, Lorenzo Agnolucci, Marco Bertini, Andrew D. Bagdanov
2025	J	`jnl`	EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning. CoRR Simone Magistri, Tomaso Trinci, Albin Soutif-Cormerais, Joost van de Weijer, Andrew D. Bagdanov
2025	J	`jnl`	EUFCC-340K: A faceted hierarchical dataset for metadata annotation in GLAM collections. Multim. Tools Appl. Francesc Net, Marc Folia, Pep Casals, Andrew D. Bagdanov, Lluís Gómez
2025	J	`jnl`	Exemplar-Free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation. Int. J. Comput. Vis. Marco Cotogni, Fei Yang, Claudio Cusano, Andrew D. Bagdanov, Joost van de Weijer
2025	C	`conf`	NTRL: Encounter Generation via Reinforcement Learning for Dynamic Difficulty Adjustment in Dungeons and Dragons. CoG Carlo Romeo, Andrew D. Bagdanov
2025	J	`jnl`	NTRL: Encounter Generation via Reinforcement Learning for Dynamic Difficulty Adjustment in Dungeons and Dragons. CoRR Carlo Romeo, Andrew D. Bagdanov
2025	J	`jnl`	No MoCap Needed: Post-Training Motion Diffusion Models with Reinforcement Learning using Only Textual Prompts. CoRR Girolamo Macaluso, Lorenzo Mandelli, Mirko Bicchierai, Stefano Berretti, Andrew D. Bagdanov
2025	A*	`conf`	No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces. ICML Daniel Marczak, Simone Magistri, Sebastian Cygert, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer
2025	J	`jnl`	No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces. CoRR Daniel Marczak, Simone Magistri, Sebastian Cygert, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer
2025	J	`jnl`	SPEQ: Stabilization Phases for Efficient Q-Learning in High Update-To-Data Ratio Reinforcement Learning. CoRR Carlo Romeo, Girolamo Macaluso, Alessandro Sestini, Andrew D. Bagdanov
2025	J	`jnl`	TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning. CoRR Alessandro Sestini, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov, Linus Gisslén
2025	J	`jnl`	Training-Free Diffusion Priors for Text-to-Image Generation via Optimization-based Visual Inversion. CoRR Samuele Dell'Erba, Andrew D. Bagdanov
2024	C	`conf`	A Benchmark Environment for Offline Reinforcement Learning in Racing Games. CoG Girolamo Macaluso, Alessandro Sestini, Andrew D. Bagdanov
2024	J	`jnl`	A Benchmark Environment for Offline Reinforcement Learning in Racing Games. CoRR Girolamo Macaluso, Alessandro Sestini, Andrew D. Bagdanov
2024	J	`jnl`	A New Dataset for Monocular Depth Estimation Under Viewpoint Shifts. CoRR Aurel Pjetri, Stefano Caprasecca, Leonardo Taccari, Matteo Simoncini, Henrique Piñeiro Monteagudo, Walter Wallace, Douglas Coimbra de Andrade, Francesco Sambo, Andrew D. Bagdanov
2024	—	`conf`	An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates. CoLLAs Albin Soutif, Simone Magistri, Joost van de Weijer, Andrew D. Bagdanov
2024	J	`jnl`	An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates. CoRR Albin Soutif-Cormerais, Simone Magistri, Joost van de Weijer, Andrew D. Bagdanov
2024	J	`jnl`	Automated Gameplay Testing and Validation With Curiosity-Conditioned Proximal Trajectories. IEEE Trans. Games Alessandro Sestini, Linus Gisslén, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov
2024	J	`jnl`	Continual learning for adaptive social network identification. Pattern Recognit. Lett. Simone Magistri, Daniele Baracchi, Dasara Shullani, Andrew D. Bagdanov, Alessandro Piva
2024	J	`jnl`	Covariances for Free: Exploiting Mean Distributions for Federated Learning with Pre-Trained Models. CoRR Dipam Goswami, Simone Magistri, Kai Wang, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer
2024	J	`jnl`	EUFCC-340K: A Faceted Hierarchical Dataset for Metadata Annotation in GLAM Collections. CoRR Francesc Net, Marc Folia, Pep Casals, Andrew D. Bagdanov, Lluís Gómez
2024	A*	`conf`	Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning. ICLR Simone Magistri, Tomaso Trinci, Albin Soutif-Cormerais, Joost van de Weijer, Andrew D. Bagdanov
2024	J	`jnl`	Elastic Feature Consolidation for Cold Start Exemplar-free Incremental Learning. CoRR Simone Magistri, Tomaso Trinci, Albin Soutif-Cormerais, Joost van de Weijer, Andrew D. Bagdanov
2024	—	`conf`	Exemplar-Free Continual Representation Learning via Learnable Drift Compensation. ECCV (7) Alex Gomez-Villa, Dipam Goswami, Kai Wang, Andrew D. Bagdanov, Bartlomiej Twardowski, Joost van de Weijer
2024	J	`jnl`	Exemplar-free Continual Representation Learning via Learnable Drift Compensation. CoRR Alex Gomez-Villa, Dipam Goswami, Kai Wang, Andrew D. Bagdanov, Bartlomiej Twardowski, Joost van de Weijer
2024	—	`conf`	How Green Is Continual Learning, Really? Analyzing the Energy Consumption in Continual Training of Vision Foundation Models. ECCV Workshops (22) Tomaso Trinci, Simone Magistri, Roberto Verdecchia, Andrew D. Bagdanov
2024	J	`jnl`	How green is continual learning, really? Analyzing the energy consumption in continual training of vision foundation models. CoRR Tomaso Trinci, Simone Magistri, Roberto Verdecchia, Andrew D. Bagdanov
2024	—	`conf`	Improving Zero-Shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation. ECCV (84) Marco Mistretta, Alberto Baldrati, Marco Bertini, Andrew D. Bagdanov
2024	J	`jnl`	Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation. CoRR Marco Mistretta, Alberto Baldrati, Marco Bertini, Andrew D. Bagdanov
2024	—	`conf`	Incremental and Decremental Continual Learning for Privacy-Preserving Video Recognition. ECCV Workshops (21) Lorenzo Caselli, Simone Magistri, Tommaso Bianconcini, Andrea Benericetti, Douglas Coimbra de Andrade, Andrew D. Bagdanov
2024	J	`jnl`	Offline Reinforcement Learning with Imputed Rewards. CoRR Carlo Romeo, Andrew D. Bagdanov
2024	J	`jnl`	RE-tune: Incremental Fine Tuning of Biomedical Vision-Language Models for Multi-label Chest X-ray Classification. CoRR Marco Mistretta, Andrew D. Bagdanov
2024	—	`conf`	Self-supervised Road Accident Anticipation with Non-decreasing Danger. ECCV Workshops (7) Aurel Pjetri, Davide Abbondandolo, Douglas Coimbra de Andrade, Stefano Caprasecca, Francesco Sambo, Andrew D. Bagdanov
2024	A*	`conf`	Task-Adaptive Saliency Guidance for Exemplar-Free Class Incremental Learning. CVPR Xialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
2024	B	`conf`	The intrinsic convenience of federated learning in malware IoT detection. CNSM Chiara Camerota, Tommaso Pecorella, Andrew D. Bagdanov
2023	J	`jnl`	Class Incremental Learning with Pre-trained Vision-Language Models. CoRR Xialei Liu, Xusheng Cao, Haori Lu, Jia-Wen Xiao, Andrew D. Bagdanov, Ming-Ming Cheng
2023	J	`jnl`	Class-Incremental Learning: Survey and Performance Evaluation on Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. Marc Masana, Xialei Liu, Bartlomiej Twardowski, Mikel Menta, Andrew D. Bagdanov, Joost van de Weijer
2023	A*	`conf`	Masked Autoencoders are Efficient Class Incremental Learners. ICCV Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
2023	J	`jnl`	Masked Autoencoders are Efficient Class Incremental Learners. CoRR Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
2023	A*	`conf`	Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training. ICLR Simone Zini, Alex Gomez-Villa, Marco Buzzelli, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer
2023	J	`jnl`	Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline Pre-Training with Model Based Augmentation. CoRR Girolamo Macaluso, Alessandro Sestini, Andrew D. Bagdanov
2023	—	`conf`	Towards Continual Social Network Identification. IWBF Simone Magistri, Daniele Baracchi, Dasara Shullani, Andrew D. Bagdanov, Alessandro Piva
2023	C	`conf`	Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning. CoG Alessandro Sestini, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov, Linus Gisslén
2022	J	`jnl`	CCPT: Automatic Gameplay Testing and Validation with Curiosity-Conditioned Proximal Trajectories. CoRR Alessandro Sestini, Linus Gisslén, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov
2022	—	`conf`	Continually Learning Self-Supervised Representations with Projected Functional Regularization. CVPR Workshops Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer
2022	J	`jnl`	Gated Class-Attention with Cascaded Feature Drift Compensation for Exemplar-free Continual Learning of Vision Transformers. CoRR Marco Cotogni, Fei Yang, Claudio Cusano, Andrew D. Bagdanov, Joost van de Weijer
2022	—	`conf`	Long-Tailed Class Incremental Learning. ECCV (33) Xialei Liu, Yusong Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
2022	J	`jnl`	Long-Tailed Class Incremental Learning. CoRR Xialei Liu, Yusong Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
2022	J	`jnl`	Robust Saliency Guidance for Data-free Class Incremental Learning. CoRR Xialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
2022	J	`jnl`	Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning. CoRR Alessandro Sestini, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov, Linus Gisslén
2021	J	`jnl`	Bottom-up and Layerwise Domain Adaptation for Pedestrian Detection in Thermal Images. ACM Trans. Multim. Comput. Commun. Appl. My Kieu, Andrew D. Bagdanov, Marco Bertini
2021	J	`jnl`	Continually Learning Self-Supervised Representations with Projected Functional Regularization. CoRR Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer
2021	C	`conf`	Demonstration-Efficient Inverse Reinforcement Learning in Procedurally Generated Environments. CoG Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
2021	J	`jnl`	Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. CoRR Kai Wang, Xialei Liu, Andrew D. Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer
2021	C	`conf`	Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents. CoG Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
2021	J	`jnl`	Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents. CoRR Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
2021	J	`jnl`	Robust pedestrian detection in thermal imagery using synthesized images. CoRR My Kieu, Lorenzo Berlincioni, Leonardo Galteri, Marco Bertini, Andrew D. Bagdanov, Alberto Del Bimbo
2020	J	`jnl`	Class-incremental learning: survey and performance evaluation. CoRR Marc Masana, Xialei Liu, Bartlomiej Twardowski, Mikel Menta, Andrew D. Bagdanov, Joost van de Weijer
2020	J	`jnl`	Deep Policy Networks for NPC Behaviors that Adapt to Changing Design Parameters in Roguelike Games. CoRR Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
2020	J	`jnl`	DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games. CoRR Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
2020	J	`jnl`	Demonstration-efficient Inverse Reinforcement Learning in Procedurally Generated Environments. CoRR Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
2020	—	`conf`	Generative Feature Replay For Class-Incremental Learning. CVPR Workshops Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer
2020	J	`jnl`	Generative Feature Replay For Class-Incremental Learning. CoRR Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer
2020	A*	`conf`	RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning. NeurIPS Riccardo Del Chiaro, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer
2020	J	`jnl`	RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning. CoRR Riccardo Del Chiaro, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer
2020	B	`conf`	Robust pedestrian detection in thermal imagery using synthesized images. ICPR My Kieu, Lorenzo Berlincioni, Leonardo Galteri, Marco Bertini, Andrew D. Bagdanov, Alberto Del Bimbo
2020	—	`conf`	Task-Conditioned Domain Adaptation for Pedestrian Detection in Thermal Imagery. ECCV (22) My Kieu, Andrew D. Bagdanov, Marco Bertini, Alberto Del Bimbo
2020	J	`jnl`	Visual Question Answering for Cultural Heritage. CoRR Pietro Bongini, Federico Becattini, Andrew D. Bagdanov, Alberto Del Bimbo
2019	A*	`conf`	DeepPhysio: Monitored Physiotherapeutic Exercise in the Comfort of your Own Home. ACM Multimedia Gianmarco Sanesi, Andrew D. Bagdanov, Marco Bertini, Alberto Del Bimbo
2019	—	`conf`	Domain Adaptation for Privacy-Preserving Pedestrian Detection in Thermal Imagery. ICIAP (2) My Kieu, Andrew D. Bagdanov, Marco Bertini, Alberto Del Bimbo
2019	J	`jnl`	Exploiting Unlabeled Data in CNNs by Self-Supervised Learning to Rank. IEEE Trans. Pattern Anal. Mach. Intell. Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
2019	J	`jnl`	Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank. CoRR Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
2019	J	`jnl`	FAST: Facilitated and Accurate Scene Text Proposals through FCN Guided Pruning. Pattern Recognit. Lett. Dena Bazazian, Raul Gomez, Anguelos Nicolaou, Lluís Gómez, Dimosthenis Karatzas, Andrew D. Bagdanov
2019	—	`conf`	GADA: Generative Adversarial Data Augmentation for Image Quality Assessment. ICIAP (2) Pietro Bongini, Riccardo Del Chiaro, Andrew D. Bagdanov, Alberto Del Bimbo
2019	—	`conf`	NoisyArt: A Dataset for Webly-supervised Artwork Recognition. VISIGRAPP (4: VISAPP) Riccardo Del Chiaro, Andrew D. Bagdanov, Alberto Del Bimbo
2019	J	`jnl`	Webly-supervised zero-shot learning for artwork instance recognition. Pattern Recognit. Lett. Riccardo Del Chiaro, Andrew D. Bagdanov, Alberto Del Bimbo
2018	A*	`conf`	Leveraging Unlabeled Data for Crowd Counting by Learning to Rank. CVPR Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
2018	J	`jnl`	Leveraging Unlabeled Data for Crowd Counting by Learning to Rank. CoRR Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
2018	J	`jnl`	Review on computer vision techniques in emergency situations. Multim. Tools Appl. Laura Lopez-Fuentes, Joost van de Weijer, Manuel González Hidalgo, Harald Skinnemoen, Andrew D. Bagdanov
2018	B	`conf`	Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. ICPR Xialei Liu, Marc Masana, Luis Herranz, Joost van de Weijer, Antonio M. López, Andrew D. Bagdanov
2018	J	`jnl`	Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. CoRR Xialei Liu, Marc Masana, Luis Herranz, Joost van de Weijer, Antonio M. López, Andrew D. Bagdanov
2018	J	`jnl`	Scale coding bag of deep features for human attribute and action recognition. Mach. Vis. Appl. Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen
2018	J	`jnl`	Soft-PHOC Descriptor for End-to-End Word Spotting in Egocentric Scene Images. CoRR Dena Bazazian, Dimosthenis Karatzas, Andrew D. Bagdanov
2018	—	`conf`	Word Spotting in Scene Images Based on Character Recognition. CVPR Workshops Dena Bazazian, Dimosthenis Karatzas, Andrew D. Bagdanov
2017	A	`conf`	Bandwidth Limited Object Recognition in High Resolution Imagery. WACV Laura Lopez-Fuentes, Andrew D. Bagdanov, Joost van de Weijer, Harald Skinnemoen
2017	J	`jnl`	Bandwidth limited object recognition in high resolution imagery. CoRR Laura Lopez-Fuentes, Andrew D. Bagdanov, Joost van de Weijer, Harald Skinnemoen
2017	A*	`conf`	Domain-Adaptive Deep Network Compression. ICCV Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, José M. Álvarez
2017	J	`jnl`	Domain-adaptive deep network compression. CoRR Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, José M. Álvarez
2017	J	`jnl`	Improving Text Proposals for Scene Images with Fully Convolutional Networks. CoRR Dena Bazazian, Raul Gomez, Anguelos Nicolaou, Lluís Gómez i Bigorda, Dimosthenis Karatzas, Andrew D. Bagdanov
2017	A*	`conf`	RankIQA: Learning from Rankings for No-Reference Image Quality Assessment. ICCV Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
2017	J	`jnl`	RankIQA: Learning from Rankings for No-reference Image Quality Assessment. CoRR Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
2017	—	`conf`	Reading Text in the Wild from Compressed Images. ICCV Workshops Leonardo Galteri, Dena Bazazian, Lorenzo Seidenari, Marco Bertini, Andrew D. Bagdanov, Anguelos Nicolaou, Dimosthenis Karatzas, Alberto Del Bimbo
2017	J	`jnl`	Review on Computer Vision Techniques in Emergency Situation. CoRR Laura Lopez-Fuentes, Joost van de Weijer, Manuel González Hidalgo, Harald Skinnemoen, Andrew D. Bagdanov
2017	A	`conf`	Visual Attention Models for Scene Text Recognition. ICDAR Suman K. Ghosh, Ernest Valveny, Andrew D. Bagdanov
2017	J	`jnl`	Visual attention models for scene text recognition. CoRR Suman K. Ghosh, Ernest Valveny, Andrew D. Bagdanov
2016	B	`conf`	Hierarchical part detection with deep neural networks. ICIP Esteve Cervantes, Longlong Yu, Andrew D. Bagdanov, Marc Masana, Joost van de Weijer
2016	J	`jnl`	On-the-fly Network Pruning for Object Detection. CoRR Marc Masana, Joost van de Weijer, Andrew D. Bagdanov
2016	J	`jnl`	Personalized multimedia content delivery on an interactive table by passive observation of museum visitors. Multim. Tools Appl. Svebor Karaman, Andrew D. Bagdanov, Lea Landucci, Gianpaolo D'Amico, Andrea Ferracani, Daniele Pezzatini, Alberto Del Bimbo
2016	J	`jnl`	Scale Coding Bag of Deep Features for Human Attribute and Action Recognition. CoRR Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen
2016	B	`conf`	Visual Script and Language Identification. DAS Anguelos Nicolaou, Andrew D. Bagdanov, Lluis Gomez i Bigorda, Dimosthenis Karatzas
2016	J	`jnl`	Visual Script and Language Identification. CoRR Anguelos Nicolaou, Andrew D. Bagdanov, Lluis Gomez-Bigorda, Dimosthenis Karatzas
2015	A	`conf`	ICDAR 2015 competition on Robust Reading. ICDAR 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, Ernest Valveny
2015	B	`conf`	MORF: Multi-Objective Random Forests for face characteristic estimation. AVSS Dario Di Fina, Svebor Karaman, Andrew D. Bagdanov, Alberto Del Bimbo
2015	J	`jnl`	Person Re-Identification by Iterative Re-Weighted Sparse Ranking. IEEE Trans. Pattern Anal. Mach. Intell. Giuseppe Lisanti, Iacopo Masi, Andrew D. Bagdanov, Alberto Del Bimbo
2015	J	`jnl`	Recognizing Actions Through Action-Specific Person Detection. IEEE Trans. Image Process. Fahad Shahbaz Khan, Jiaolong Xu, Joost van de Weijer, Andrew D. Bagdanov, Rao Muhammad Anwer, Antonio M. López
2015	J	`jnl`	Sparse Radial Sampling LBP for Writer Identification. CoRR Anguelos Nicolaou, Andrew D. Bagdanov, Marcus Liwicki, Dimosthenis Karatzas
2015	A	`conf`	Sparse radial sampling LBP for writer identification. ICDAR Anguelos Nicolaou, Andrew D. Bagdanov, Marcus Liwicki, Dimosthenis Karatzas
2014	B	`conf`	Fisher Vectors over Random Density Forests for Object Recognition. ICPR Claudio Baecchi, Francesco Turchini, Lorenzo Seidenari, Andrew D. Bagdanov, Alberto Del Bimbo
2014	—	`ch.`	From Re-identification to Identity Inference: Labeling Consistency by Local Similarity Constraints. Person Re-Identification Svebor Karaman, Giuseppe Lisanti, Andrew D. Bagdanov, Alberto Del Bimbo
2014	J	`jnl`	Leveraging local neighborhood topology for large scale person re-identification. Pattern Recognit. Svebor Karaman, Giuseppe Lisanti, Andrew D. Bagdanov, Alberto Del Bimbo
2014	J	`jnl`	Local Pyramidal Descriptors for Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Lorenzo Seidenari, Giuseppe Serra, Andrew D. Bagdanov, Alberto Del Bimbo
2014	J	`jnl`	Multimodal page classification in administrative document image streams. Int. J. Document Anal. Recognit. Marçal Rusiñol, Volkmar Frinken, Dimosthenis Karatzas, Andrew D. Bagdanov, Josep Lladós
2014	B	`conf`	Real-time people counting from depth imagery of crowded environments. AVSS Enrico Bondi, Lorenzo Seidenari, Andrew D. Bagdanov, Alberto Del Bimbo
2014	B	`conf`	Scale Coding Bag-of-Words for Action Recognition. ICPR Fahad Shahbaz Khan, Joost van de Weijer, Andrew D. Bagdanov, Michael Felsberg
2014	B	`conf`	Unsupervised Scene Adaptation for Faster Multi-scale Pedestrian Detection. ICPR Federico Bartoli, Giuseppe Lisanti, Svebor Karaman, Andrew D. Bagdanov, Alberto Del Bimbo
2013	J	`jnl`	Coloring Action Recognition in Still Images. Int. J. Comput. Vis. Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Andrew D. Bagdanov, Antonio M. López, Michael Felsberg
2013	A	`conf`	Document Classification and Page Stream Segmentation for Digital Mailroom Applications. ICDAR Albert Gordo, Marçal Rusiñol, Dimosthenis Karatzas, Andrew D. Bagdanov
2013	J	`jnl`	Human action recognition using an ensemble of body-part detectors. Expert Syst. J. Knowl. Eng. Bhaskar Chakraborty, Andrew D. Bagdanov, Jordi Gonzàlez, F. Xavier Roca
2013	—	`conf`	Multi-target Data Association Using Sparse Reconstruction. ICIAP (2) Andrew D. Bagdanov, Alberto Del Bimbo, Dario Di Fina, Svebor Karaman, Giuseppe Lisanti, Iacopo Masi
2013	—	`conf`	Passive Profiling and Natural Interaction Metaphors for Personalized Multimedia Museum Experiences. ICIAP Workshops Svebor Karaman, Andrew D. Bagdanov, Gianpaolo D'Amico, Lea Landucci, Andrea Ferracani, Daniele Pezzatini, Alberto Del Bimbo
2013	—	`conf`	Using 3D Models to Recognize 2D Faces in the Wild. CVPR Workshops Iacopo Masi, Giuseppe Lisanti, Andrew D. Bagdanov, Pietro Pala, Alberto Del Bimbo
2012	A*	`conf`	Color attributes for object detection. CVPR Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Andrew D. Bagdanov, María Vanrell, Antonio M. López
2012	—	`conf`	Florence faces: A dataset supporting 2D/3D face recognition. ISCCSP Andrew D. Bagdanov, Alberto Del Bimbo, Iacopo Masi
2012	J	`jnl`	Harmony Potentials - Fusing Global and Local Scale for Semantic Image Segmentation. Int. J. Comput. Vis. Xavier Boix, Josep M. Gonfaus, Joost van de Weijer, Andrew D. Bagdanov, Joan Serrat Gual, Jordi Gonzàlez
2012	—	`conf`	Identity Inference: Generalizing Person Re-identification Scenarios. ECCV Workshops (1) Svebor Karaman, Andrew D. Bagdanov
2012	B	`conf`	Multi-pose face detection for accurate face logging. ICPR Andrew D. Bagdanov, Alberto Del Bimbo, Giuseppe Lisanti, Iacopo Masi
2012	B	`conf`	Multipage document retrieval by textual and visual representations. ICPR Marçal Rusiñol, Dimosthenis Karatzas, Andrew D. Bagdanov, Josep Lladós
2012	J	`jnl`	Posterity Logging of Face Imagery for Video Surveillance. IEEE Multim. Andrew D. Bagdanov, Alberto Del Bimbo, Fabrizio Dini, Giuseppe Lisanti, Iacopo Masi
2012	B	`conf`	Real-time hand status recognition from RGB-D imagery. ICPR Andrew D. Bagdanov, Alberto Del Bimbo, Lorenzo Seidenari, Lorenzo Usai
2011	J	`jnl`	Accurate Moving Cast Shadow Suppression Based on Local Color Constancy Detection. IEEE Trans. Image Process. Ariel Amato, Mikhail G. Mozerov, Andrew D. Bagdanov, Jordi Gonzàlez
2011	C	`conf`	Adaptive Video Compression for Video Surveillance Applications. ISM Andrew D. Bagdanov, Marco Bertini, Alberto Del Bimbo, Lorenzo Seidenari
2011	J	`jnl`	Efficient discriminative multiresolution cascade for real-time human detection applications. Pattern Recognit. Lett. Marco Pedersoli, Jordi Gonzàlez, Andrew D. Bagdanov, F. Xavier Roca
2011	—	`conf`	MNEMOSYNE: Enhancing the Museum Experience through Interactive Media and Visual Profiling. MM4CH Andrew D. Bagdanov, Alberto Del Bimbo, Lea Landucci, Federico Pernici
2011	—	`conf`	Multimedia for Cultural Heritage: Key Issues. MM4CH Rita Cucchiara, Costantino Grana, Daniele Borghesani, Maristella Agosti, Andrew D. Bagdanov
2011	—	`conf`	Portmanteau Vocabularies for Multi-Cue Image Representation. NIPS Fahad Shahbaz Khan, Joost van de Weijer, Andrew D. Bagdanov, María Vanrell
2011	—	`conf`	The florence 2D/3D hybrid face dataset. J-HGBU@MM Andrew D. Bagdanov, Alberto Del Bimbo, Iacopo Masi
2010	—	`conf`	Automatic Key Pose Selection for 3D Human Action Recognition. AMDO Wenjuan Gong, Andrew D. Bagdanov, F. Xavier Roca, Jordi Gonzàlez
2010	A*	`conf`	Harmony potentials for joint classification and segmentation. CVPR Josep M. Gonfaus, Xavier Boix Bosch, Joost van de Weijer, Andrew D. Bagdanov, Joan Serrat Gual, Jordi Gonzàlez
2010	B	`conf`	Reactive Object Tracking with a Single PTZ Camera. ICPR Murad Al Haj, Andrew D. Bagdanov, Jordi Gonzàlez, F. Xavier Roca
2010	—	`conf`	Recursive Coarse-to-Fine Localization for Fast Object Detection. ECCV (6) Marco Pedersoli, Jordi Gonzàlez, Andrew D. Bagdanov, Juan José Villanueva
2009	Misc	`conf`	Robust and Efficient Multipose Face Detection Using Skin Color Segmentation. IbPRIA Murad Al Haj, Andrew D. Bagdanov, Jordi Gonzàlez, F. Xavier Roca
2009	Misc	`conf`	Towards Real-Time Human Action Recognition. IbPRIA Bhaskar Chakraborty, Andrew D. Bagdanov, Jordi Gonzàlez
2007	Misc	`conf`	Adaptive uncertainty estimation for particle filter-based trackers. ICIAP Andrew D. Bagdanov, Alberto Del Bimbo, Fabrizio Dini, Walter Nunziati
2007	B	`conf`	Improving the robustness of particle filter-based visual trackers using online parameter adaptation. AVSS Andrew D. Bagdanov, Alberto Del Bimbo, Fabrizio Dini, Walter Nunziati
2007	—	`conf`	Semantic annotation and retrieval of video events using multimedia ontologies. ICSC Andrew D. Bagdanov, Marco Bertini, Alberto Del Bimbo, Giuseppe Serra, Carlo Torniai
2007	—	`conf`	Trademark matching and retrieval in sports video databases. Multimedia Information Retrieval Andrew D. Bagdanov, Lamberto Ballan, Marco Bertini, Alberto Del Bimbo
2006	—	`conf`	A reinforcement learning approach to active camera foveation. VSSN@MM Andrew D. Bagdanov, Alberto Del Bimbo, Walter Nunziati, Federico Pernici
2006	J	`jnl`	Boosting Color Saliency in Image Feature Detection. IEEE Trans. Pattern Anal. Mach. Intell. Joost van de Weijer, Theo Gevers, Andrew D. Bagdanov
2006	—	`conf`	Improving evidential quality of surveillance imagery through active face tracking. ICPR (3) Andrew D. Bagdanov, Alberto Del Bimbo, Walter Nunziati
2006	B	`conf`	Learning Foveal Sensing Strategies in Unconstrained Surveillance Environments. AVSS Andrew D. Bagdanov, Alberto Del Bimbo, Walter Nunziati, Federico Pernici
2005	—	`conf`	Acquisition of high-resolution images through on-line saccade sequence planning. VSSN@MM Andrew D. Bagdanov, Alberto Del Bimbo, Federico Pernici
2004	J	`jnl`	Finite State Machine-Based Optimization of Data Parallel Regular Domain Problems Applied in Low-Level Image Processing. IEEE Trans. Parallel Distributed Syst. Frank J. Seinstra, Dennis C. Koelma, Andrew D. Bagdanov
2004	—	`conf`	Towards User Transparent Data and Task Parallel Image and Video Processing: An Overview of the Parallel-Horus Project. Euro-Par Frank J. Seinstra, Dennis C. Koelma, Andrew D. Bagdanov
2003	J	`jnl`	First order Gaussian graphs for efficient structure classification. Pattern Recognit. Andrew D. Bagdanov, Marcel Worring
2003	A	`conf`	Understanding Document Analysis and Understanding (through Modeling). ICDAR Bertin Klein, Stefan Agne, Andrew D. Bagdanov
2002	—	`conf`	Granulometric Analysis of Document Images. ICPR (1) Andrew D. Bagdanov, Marcel Worring
2002	B	`conf`	Interactive Indexing and Retrieval of Multimedia Content. SOFSEM 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
2002	B	`conf`	Multi-scale Document Description Using Rectangular Granulometries. Document Analysis Systems Andrew D. Bagdanov, Marcel Worring
2001	A	`conf`	Fine-Grained Document Genre Classification Using First Order Random Graphs. ICDAR Andrew D. Bagdanov, Marcel Worring
1998	J	`jnl`	Projection profile based skew estimation algorithm for JBIG compressed images. Int. J. Document Anal. Recognit. Junichi Kanai, Andrew D. Bagdanov
1997	A	`conf`	Projection profile based skew estimation algorithm for JBIG compressed images. ICDAR Andrew D. Bagdanov, Junichi Kanai
1996	—	`conf`	Evaluation of document image skew estimation techniques. Document Recognition Andrew D. Bagdanov, Junichi Kanai