Andrew D. Bagdanov

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 82

Top Venues

CoRR

ICPR

IEEE Trans. Pattern Anal. Mach. Intell.

CoG

Publications

Alessandro Sestini, Linus Gisslén, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov
Automated Gameplay Testing and Validation With Curiosity-Conditioned Proximal Trajectories. IEEE Trans. Games 16 (1) (2024)
Simone Magistri, Tomaso Trinci, Albin Soutif-Cormerais, Joost van de Weijer, Andrew D. Bagdanov
Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning. ICLR (2024)
Girolamo Macaluso, Alessandro Sestini, Andrew D. Bagdanov
A Benchmark Environment for Offline Reinforcement Learning in Racing Games. CoRR (2024)
Simone Magistri, Tomaso Trinci, Albin Soutif-Cormerais, Joost van de Weijer, Andrew D. Bagdanov
Elastic Feature Consolidation for Cold Start Exemplar-free Incremental Learning. CoRR (2024)
Simone Magistri, Daniele Baracchi, Dasara Shullani, Andrew D. Bagdanov, Alessandro Piva
Continual learning for adaptive social network identification. Pattern Recognit. Lett. 180 (2024)
Francesc Net, Marc Folia, Pep Casals, Andrew D. Bagdanov, Lluís Gómez
EUFCC-340K: A Faceted Hierarchical Dataset for Metadata Annotation in GLAM Collections. CoRR (2024)
Alex Gomez-Villa, Dipam Goswami, Kai Wang, Andrew D. Bagdanov, Bartlomiej Twardowski, Joost van de Weijer
Exemplar-free Continual Representation Learning via Learnable Drift Compensation. CoRR (2024)
Albin Soutif-Cormerais, Simone Magistri, Joost van de Weijer, Andrew D. Bagdanov
An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates. CoRR (2024)
Carlo Romeo, Andrew D. Bagdanov
Offline Reinforcement Learning with Imputed Rewards. CoRR (2024)
Marco Mistretta, Alberto Baldrati, Marco Bertini, Andrew D. Bagdanov
Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation. CoRR (2024)
Alessandro Sestini, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov, Linus Gisslén
Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning. CoG (2023)
Simone Magistri, Daniele Baracchi, Dasara Shullani, Andrew D. Bagdanov, Alessandro Piva
Towards Continual Social Network Identification. IWBF (2023)
Xialei Liu, Xu-Sheng Cao, Haori Lu, Jia-Wen Xiao, Andrew D. Bagdanov, Ming-Ming Cheng
Class Incremental Learning with Pre-trained Vision-Language Models. CoRR (2023)
Girolamo Macaluso, Alessandro Sestini, Andrew D. Bagdanov
Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline Pre-Training with Model Based Augmentation. CoRR (2023)
Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
Masked Autoencoders are Efficient Class Incremental Learners. CoRR (2023)
Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
Masked Autoencoders are Efficient Class Incremental Learners. ICCV (2023)
Marc Masana, Xialei Liu, Bartlomiej Twardowski, Mikel Menta, Andrew D. Bagdanov, Joost van de Weijer
Class-Incremental Learning: Survey and Performance Evaluation on Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Simone Zini, Alex Gomez-Villa, Marco Buzzelli, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer
Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training. ICLR (2023)
Alessandro Sestini, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov, Linus Gisslén
Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning. CoRR (2022)
Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer
Continually Learning Self-Supervised Representations with Projected Functional Regularization. CVPR Workshops (2022)
Marco Cotogni, Fei Yang, Claudio Cusano, Andrew D. Bagdanov, Joost van de Weijer
Gated Class-Attention with Cascaded Feature Drift Compensation for Exemplar-free Continual Learning of Vision Transformers. CoRR (2022)
Xialei Liu, Yu-Song Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
Long-Tailed Class Incremental Learning. CoRR (2022)
Xialei Liu, Yu-Song Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
Long-Tailed Class Incremental Learning. ECCV (33) (2022)
Xialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
Robust Saliency Guidance for Data-free Class Incremental Learning. CoRR (2022)
Alessandro Sestini, Linus Gisslén, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov
CCPT: Automatic Gameplay Testing and Validation with Curiosity-Conditioned Proximal Trajectories. CoRR (2022)
Kai Wang, Xialei Liu, Andrew D. Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. CoRR (2021)
Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents. CoG (2021)
Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents. CoRR (2021)
My Kieu, Andrew D. Bagdanov, Marco Bertini
Bottom-up and Layerwise Domain Adaptation for Pedestrian Detection in Thermal Images. ACM Trans. Multim. Comput. Commun. Appl. 17 (1) (2021)
Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer
Continually Learning Self-Supervised Representations with Projected Functional Regularization. CoRR (2021)
Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
Demonstration-Efficient Inverse Reinforcement Learning in Procedurally Generated Environments. CoG (2021)
My Kieu, Lorenzo Berlincioni, Leonardo Galteri, Marco Bertini, Andrew D. Bagdanov, Alberto Del Bimbo
Robust pedestrian detection in thermal imagery using synthesized images. CoRR (2021)
Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan C. Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer
Generative Feature Replay For Class-Incremental Learning. CoRR (2020)
Pietro Bongini, Federico Becattini, Andrew D. Bagdanov, Alberto Del Bimbo
Visual Question Answering for Cultural Heritage. CoRR (2020)
Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan C. Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer
Generative Feature Replay For Class-Incremental Learning. CVPR Workshops (2020)
Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
Demonstration-efficient Inverse Reinforcement Learning in Procedurally Generated Environments. CoRR (2020)
My Kieu, Andrew D. Bagdanov, Marco Bertini, Alberto Del Bimbo
Task-Conditioned Domain Adaptation for Pedestrian Detection in Thermal Imagery. ECCV (22) (2020)
Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games. CoRR (2020)
Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
Deep Policy Networks for NPC Behaviors that Adapt to Changing Design Parameters in Roguelike Games. CoRR (2020)
Marc Masana, Xialei Liu, Bartlomiej Twardowski, Mikel Menta, Andrew D. Bagdanov, Joost van de Weijer
Class-incremental learning: survey and performance evaluation. CoRR (2020)
My Kieu, Lorenzo Berlincioni, Leonardo Galteri, Marco Bertini, Andrew D. Bagdanov, Alberto Del Bimbo
Robust pedestrian detection in thermal imagery using synthesized images. ICPR (2020)
Riccardo Del Chiaro, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning. NeurIPS (2020)
Riccardo Del Chiaro, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning. CoRR (2020)
Dena Bazazian, Raul Gomez, Anguelos Nicolaou, Lluís Gómez, Dimosthenis Karatzas, Andrew D. Bagdanov
FAST: Facilitated and Accurate Scene Text Proposals through FCN Guided Pruning. Pattern Recognit. Lett. 119 (2019)
Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
Exploiting Unlabeled Data in CNNs by Self-Supervised Learning to Rank. IEEE Trans. Pattern Anal. Mach. Intell. 41 (8) (2019)
Riccardo Del Chiaro, Andrew D. Bagdanov, Alberto Del Bimbo
NoisyArt: A Dataset for Webly-supervised Artwork Recognition. VISIGRAPP (4: VISAPP) (2019)
Pietro Bongini, Riccardo Del Chiaro, Andrew D. Bagdanov, Alberto Del Bimbo
GADA: Generative Adversarial Data Augmentation for Image Quality Assessment. ICIAP (2) (2019)
Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank. CoRR (2019)
Riccardo Del Chiaro, Andrew D. Bagdanov, Alberto Del Bimbo
Webly-supervised zero-shot learning for artwork instance recognition. Pattern Recognit. Lett. 128 (2019)
My Kieu, Andrew D. Bagdanov, Marco Bertini, Alberto Del Bimbo
Domain Adaptation for Privacy-Preserving Pedestrian Detection in Thermal Imagery. ICIAP (2) (2019)
Gianmarco Sanesi, Andrew D. Bagdanov, Marco Bertini, Alberto Del Bimbo
DeepPhysio: Monitored Physiotherapeutic Exercise in the Comfort of your Own Home. ACM Multimedia (2019)
Xialei Liu, Marc Masana, Luis Herranz, Joost van de Weijer, Antonio M. López, Andrew D. Bagdanov
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. CoRR (2018)
Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen
Scale coding bag of deep features for human attribute and action recognition. Mach. Vis. Appl. 29 (1) (2018)
Xialei Liu, Marc Masana, Luis Herranz, Joost van de Weijer, Antonio M. López, Andrew D. Bagdanov
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. ICPR (2018)
Laura Lopez-Fuentes, Joost van de Weijer, Manuel González Hidalgo, Harald Skinnemoen, Andrew D. Bagdanov
Review on computer vision techniques in emergency situations. Multim. Tools Appl. 77 (13) (2018)
Dena Bazazian, Dimosthenis Karatzas, Andrew D. Bagdanov
Soft-PHOC Descriptor for End-to-End Word Spotting in Egocentric Scene Images. CoRR (2018)
Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank. CoRR (2018)
Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank. CVPR (2018)
Dena Bazazian, Dimosthenis Karatzas, Andrew D. Bagdanov
Word Spotting in Scene Images Based on Character Recognition. CVPR Workshops (2018)
Laura Lopez-Fuentes, Andrew D. Bagdanov, Joost van de Weijer, Harald Skinnemoen
Bandwidth limited object recognition in high resolution imagery. CoRR (2017)
Laura Lopez-Fuentes, Andrew D. Bagdanov, Joost van de Weijer, Harald Skinnemoen
Bandwidth Limited Object Recognition in High Resolution Imagery. WACV (2017)
Leonardo Galteri, Dena Bazazian, Lorenzo Seidenari, Marco Bertini, Andrew D. Bagdanov, Anguelos Nicolaou, Dimosthenis Karatzas, Alberto Del Bimbo
Reading Text in the Wild from Compressed Images. ICCV Workshops (2017)
Laura Lopez-Fuentes, Joost van de Weijer, Manuel González Hidalgo, Harald Skinnemoen, Andrew D. Bagdanov
Review on Computer Vision Techniques in Emergency Situation. CoRR (2017)
Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, Jose M. Álvarez
Domain-adaptive deep network compression. CoRR (2017)
Suman K. Ghosh, Ernest Valveny, Andrew D. Bagdanov
Visual attention models for scene text recognition. CoRR (2017)
Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, Jose M. Álvarez
Domain-Adaptive Deep Network Compression. ICCV (2017)
Dena Bazazian, Raul Gomez, Anguelos Nicolaou, Lluís Gómez i Bigorda, Dimosthenis Karatzas, Andrew D. Bagdanov
Improving Text Proposals for Scene Images with Fully Convolutional Networks. CoRR (2017)
Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
RankIQA: Learning from Rankings for No-Reference Image Quality Assessment. ICCV (2017)
Suman K. Ghosh, Ernest Valveny, Andrew D. Bagdanov
Visual Attention Models for Scene Text Recognition. ICDAR (2017)
Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
RankIQA: Learning from Rankings for No-reference Image Quality Assessment. CoRR (2017)
Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen
Scale Coding Bag of Deep Features for Human Attribute and Action Recognition. CoRR (2016)
Marc Masana, Joost van de Weijer, Andrew D. Bagdanov
On-the-fly Network Pruning for Object Detection. CoRR (2016)
Anguelos Nicolaou, Andrew D. Bagdanov, Lluis Gomez-Bigorda, Dimosthenis Karatzas
Visual Script and Language Identification. CoRR (2016)
Esteve Cervantes, Long Long Yu, Andrew D. Bagdanov, Marc Masana, Joost van de Weijer
Hierarchical part detection with deep neural networks. ICIP (2016)
Svebor Karaman, Andrew D. Bagdanov, Lea Landucci, Gianpaolo D'Amico, Andrea Ferracani, Daniele Pezzatini, Alberto Del Bimbo
Personalized multimedia content delivery on an interactive table by passive observation of museum visitors. Multim. Tools Appl. 75 (7) (2016)
Anguelos Nicolaou, Andrew D. Bagdanov, Lluis Gomez i Bigorda, Dimosthenis Karatzas
Visual Script and Language Identification. DAS (2016)
Fahad Shahbaz Khan, Jiaolong Xu, Joost van de Weijer, Andrew D. Bagdanov, Rao Muhammad Anwer, Antonio M. López
Recognizing Actions Through Action-Specific Person Detection. IEEE Trans. Image Process. 24 (11) (2015)
Giuseppe Lisanti, Iacopo Masi, Andrew D. Bagdanov, Alberto Del Bimbo
Person Re-Identification by Iterative Re-Weighted Sparse Ranking. IEEE Trans. Pattern Anal. Mach. Intell. 37 (8) (2015)
Anguelos Nicolaou, Andrew D. Bagdanov, Marcus Liwicki, Dimosthenis Karatzas
Sparse Radial Sampling LBP for Writer Identification. CoRR (2015)
Dario Di Fina, Svebor Karaman, Andrew D. Bagdanov, Alberto Del Bimbo
MORF: Multi-Objective Random Forests for face characteristic estimation. AVSS (2015)
Dimosthenis Karatzas, Lluis Gomez-Bigorda, Anguelos Nicolaou, Suman K. Ghosh, Andrew D. Bagdanov, Masakazu Iwamura, Jiri Matas, Lukas Neumann, Vijay Ramaseshan Chandrasekhar, Shijian Lu, Faisal Shafait, Seiichi Uchida, Ernest Valveny
ICDAR 2015 competition on Robust Reading. ICDAR (2015)
Anguelos Nicolaou, Andrew D. Bagdanov, Marcus Liwicki, Dimosthenis Karatzas
Sparse radial sampling LBP for writer identification. ICDAR (2015)
Svebor Karaman, Giuseppe Lisanti, Andrew D. Bagdanov, Alberto Del Bimbo
Leveraging local neighborhood topology for large scale person re-identification. Pattern Recognit. 47 (12) (2014)
Marçal Rusiñol, Volkmar Frinken, Dimosthenis Karatzas, Andrew D. Bagdanov, Josep Lladós
Multimodal page classification in administrative document image streams. Int. J. Document Anal. Recognit. 17 (4) (2014)
Federico Bartoli, Giuseppe Lisanti, Svebor Karaman, Andrew D. Bagdanov, Alberto Del Bimbo
Unsupervised Scene Adaptation for Faster Multi-scale Pedestrian Detection. ICPR (2014)
Enrico Bondi, Lorenzo Seidenari, Andrew D. Bagdanov, Alberto Del Bimbo
Real-time people counting from depth imagery of crowded environments. AVSS (2014)
Fahad Shahbaz Khan, Joost van de Weijer, Andrew D. Bagdanov, Michael Felsberg
Scale Coding Bag-of-Words for Action Recognition. ICPR (2014)
Lorenzo Seidenari, Giuseppe Serra, Andrew D. Bagdanov, Alberto Del Bimbo
Local Pyramidal Descriptors for Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 36 (5) (2014)
Claudio Baecchi, Francesco Turchini, Lorenzo Seidenari, Andrew D. Bagdanov, Alberto Del Bimbo
Fisher Vectors over Random Density Forests for Object Recognition. ICPR (2014)
Bhaskar Chakraborty, Andrew D. Bagdanov, Jordi Gonzàlez, F. Xavier Roca
Human action recognition using an ensemble of body-part detectors. Expert Syst. J. Knowl. Eng. 30 (2) (2013)
Albert Gordo, Marçal Rusiñol, Dimosthenis Karatzas, Andrew D. Bagdanov
Document Classification and Page Stream Segmentation for Digital Mailroom Applications. ICDAR (2013)
Iacopo Masi, Giuseppe Lisanti, Andrew D. Bagdanov, Pietro Pala, Alberto Del Bimbo
Using 3D Models to Recognize 2D Faces in the Wild. CVPR Workshops (2013)
Andrew D. Bagdanov, Alberto Del Bimbo, Dario Di Fina, Svebor Karaman, Giuseppe Lisanti, Iacopo Masi
Multi-target Data Association Using Sparse Reconstruction. ICIAP (2) (2013)
Svebor Karaman, Andrew D. Bagdanov, Gianpaolo D'Amico, Lea Landucci, Andrea Ferracani, Daniele Pezzatini, Alberto Del Bimbo
Passive Profiling and Natural Interaction Metaphors for Personalized Multimedia Museum Experiences. ICIAP Workshops (2013)
Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Andrew D. Bagdanov, Antonio M. López, Michael Felsberg
Coloring Action Recognition in Still Images. Int. J. Comput. Vis. 105 (3) (2013)
Andrew D. Bagdanov, Alberto Del Bimbo, Giuseppe Lisanti, Iacopo Masi
Multi-pose face detection for accurate face logging. ICPR (2012)
Svebor Karaman, Andrew D. Bagdanov
Identity Inference: Generalizing Person Re-identification Scenarios. ECCV Workshops (1) (2012)
Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Andrew D. Bagdanov, María Vanrell, Antonio M. López
Color attributes for object detection. CVPR (2012)
Xavier Boix, Josep M. Gonfaus, Joost van de Weijer, Andrew D. Bagdanov, Joan Serrat Gual, Jordi Gonzàlez
Harmony Potentials - Fusing Global and Local Scale for Semantic Image Segmentation. Int. J. Comput. Vis. 96 (1) (2012)
Andrew D. Bagdanov, Alberto Del Bimbo, Lorenzo Seidenari, Lorenzo Usai
Real-time hand status recognition from RGB-D imagery. ICPR (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Andrew D. Bagdanov