Andrew D. Bagdanov

According to our database, Andrew D. Bagdanov authored at least 120 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, March, 2024

Continual learning for adaptive social network identification.

Simone Magistri, Daniele Baracchi, Dasara Shullani, Andrew D. Bagdanov, Alessandro Piva

Pattern Recognit. Lett., 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

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

CoRR, 2024

Offline Reinforcement Learning with Imputed Rewards.

Carlo Romeo, 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

An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates.

Albin Soutif-Cormerais, Simone Magistri, Joost van de Weijer, Andrew D. Bagdanov

CoRR, 2024

Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning.

Simone Magistri, Tomaso Trinci, Albin Soutif-Cormerais, Joost van de Weijer, Andrew D. Bagdanov

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Improving Zero-Shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation.

Marco Mistretta, Alberto Baldrati, Marco Bertini, Andrew D. Bagdanov

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

Task-Adaptive Saliency Guidance for Exemplar-Free Class Incremental Learning.

Xialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Benchmark Environment for Offline Reinforcement Learning in Racing Games.

Girolamo Macaluso, Alessandro Sestini, Andrew D. Bagdanov

Proceedings of the IEEE Conference on Games, 2024

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

IEEE Trans. Pattern Anal. Mach. Intell., May, 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 with Pre-trained Vision-Language Models.

Xialei Liu, Xusheng Cao, Haori Lu, Jia-Wen Xiao, Andrew D. Bagdanov, Ming-Ming Cheng

CoRR, 2023

Towards Continual Social Network Identification.

Simone Magistri, Daniele Baracchi, Dasara Shullani, Andrew D. Bagdanov, Alessandro Piva

Proceedings of the 11th International Workshop on Biometrics and Forensics, 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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Masked Autoencoders are Efficient Class Incremental Learners.

Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning.

Alessandro Sestini, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov, Linus Gisslén

Proceedings of the IEEE Conference on Games, 2023

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

Gated Class-Attention with Cascaded Feature Drift Compensation for Exemplar-free Continual Learning of Vision Transformers.

Marco Cotogni, Fei Yang, Claudio Cusano, Andrew D. Bagdanov, Joost van de Weijer

CoRR, 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

Long-Tailed Class Incremental Learning.

Xialei Liu, Yusong Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng

Proceedings of the Computer Vision - ECCV 2022, 2022

Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition.

Kai Wang, Xialei Liu, Andy Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Continually Learning Self-Supervised Representations with Projected Functional Regularization.

Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification.

Kai Wang, Chenshen Wu, Andy Bagdanov, Xialei Liu, Shiqi Yang, Shangling Jui, Joost van de Weijer

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Bottom-up and Layerwise Domain Adaptation for Pedestrian Detection in Thermal Images.

My Kieu, Andrew D. Bagdanov, Marco Bertini

ACM Trans. Multim. Comput. Commun. Appl., 2021

Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents.

Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

Demonstration-Efficient Inverse Reinforcement Learning in Procedurally Generated Environments.

Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

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

DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games.

Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov

CoRR, 2020

Class-incremental learning: survey and performance evaluation.

Marc Masana, Xialei Liu, Bartlomiej Twardowski, Mikel Menta, Andrew D. Bagdanov, Joost van de Weijer

CoRR, 2020

Visual Question Answering for Cultural Heritage.

Pietro Bongini, Federico Becattini, Andrew D. Bagdanov, Alberto Del Bimbo

CoRR, 2020

RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning.

Riccardo Del Chiaro, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robust pedestrian detection in thermal imagery using synthesized images.

My Kieu, Lorenzo Berlincioni, Leonardo Galteri, Marco Bertini, Andrew D. Bagdanov, Alberto Del Bimbo

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Task-Conditioned Domain Adaptation for Pedestrian Detection in Thermal Imagery.

My Kieu, Andrew D. Bagdanov, Marco Bertini, Alberto Del Bimbo

Proceedings of the Computer Vision - ECCV 2020, 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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Webly-supervised zero-shot learning for artwork instance recognition.

Riccardo Del Chiaro, Andrew D. Bagdanov, Alberto Del Bimbo

Pattern Recognit. Lett., 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

Exploiting Unlabeled Data in CNNs by Self-Supervised Learning to Rank.

Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov

IEEE Trans. Pattern Anal. Mach. Intell., 2019

NoisyArt: A Dataset for Webly-supervised Artwork Recognition.

Riccardo Del Chiaro, Andrew D. Bagdanov, Alberto Del Bimbo

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

DeepPhysio: Monitored Physiotherapeutic Exercise in the Comfort of your Own Home.

Gianmarco Sanesi, Andrew D. Bagdanov, Marco Bertini, Alberto Del Bimbo

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Domain Adaptation for Privacy-Preserving Pedestrian Detection in Thermal Imagery.

My Kieu, Andrew D. Bagdanov, Marco Bertini, Alberto Del Bimbo

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

GADA: Generative Adversarial Data Augmentation for Image Quality Assessment.

Pietro Bongini, Riccardo Del Chiaro, Andrew D. Bagdanov, Alberto Del Bimbo

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

2018

Scale coding bag of deep features for human attribute and action recognition.

Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen

Mach. Vis. Appl., 2018

Review on computer vision techniques in emergency situations.

Laura Lopez-Fuentes, Joost van de Weijer, Manuel González Hidalgo, Harald Skinnemoen, Andrew D. Bagdanov

Multim. Tools Appl., 2018

Soft-PHOC Descriptor for End-to-End Word Spotting in Egocentric Scene Images.

Dena Bazazian, Dimosthenis Karatzas, Andrew D. Bagdanov

CoRR, 2018

Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting.

Xialei Liu, Marc Masana, Luis Herranz, Joost van de Weijer, Antonio M. López, Andrew D. Bagdanov

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Leveraging Unlabeled Data for Crowd Counting by Learning to Rank.

Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Word Spotting in Scene Images Based on Character Recognition.

Dena Bazazian, Dimosthenis Karatzas, Andrew D. Bagdanov

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Review on Computer Vision Techniques in Emergency Situation.

Laura Lopez-Fuentes, Joost van de Weijer, Manuel González Hidalgo, Harald Skinnemoen, Andrew D. Bagdanov

CoRR, 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

Bandwidth Limited Object Recognition in High Resolution Imagery.

Laura Lopez-Fuentes, Andrew D. Bagdanov, Joost van de Weijer, Harald Skinnemoen

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Visual Attention Models for Scene Text Recognition.

Suman K. Ghosh, Ernest Valveny, Andrew D. Bagdanov

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 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

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Domain-Adaptive Deep Network Compression.

Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, José M. Álvarez

Proceedings of the IEEE International Conference on Computer Vision, 2017

RankIQA: Learning from Rankings for No-Reference Image Quality Assessment.

Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov

Proceedings of the IEEE International Conference on Computer Vision, 2017

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

On-the-fly Network Pruning for Object Detection.

Marc Masana, Joost van de Weijer, Andrew D. Bagdanov

CoRR, 2016

Hierarchical part detection with deep neural networks.

Esteve Cervantes, Longlong Yu, Andrew D. Bagdanov, Marc Masana, Joost van de Weijer

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Visual Script and Language Identification.

Anguelos Nicolaou, Andrew D. Bagdanov, Lluis Gomez i Bigorda, Dimosthenis Karatzas

Proceedings of the 12th IAPR Workshop on Document Analysis Systems, 2016

2015

Recognizing Actions Through Action-Specific Person Detection.

Fahad Shahbaz Khan, Jiaolong Xu, Joost van de Weijer, Andrew D. Bagdanov, Rao Muhammad Anwer, Antonio M. López

IEEE Trans. Image Process., 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

Sparse radial sampling LBP for writer identification.

Anguelos Nicolaou, Andrew D. Bagdanov, Marcus Liwicki, Dimosthenis Karatzas

Proceedings of the 13th International Conference on Document Analysis and Recognition, 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, Ernest Valveny

Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

MORF: Multi-Objective Random Forests for face characteristic estimation.

Dario Di Fina, Svebor Karaman, Andrew D. Bagdanov, Alberto Del Bimbo

Proceedings of the 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2015

2014

From Re-identification to Identity Inference: Labeling Consistency by Local Similarity Constraints.

Svebor Karaman, Giuseppe Lisanti, Andrew D. Bagdanov, Alberto Del Bimbo

Proceedings of the Person Re-Identification, 2014

Leveraging local neighborhood topology for large scale person re-identification.

Svebor Karaman, Giuseppe Lisanti, Andrew D. Bagdanov, Alberto Del Bimbo

Pattern Recognit., 2014

Local Pyramidal Descriptors for Image Recognition.

Lorenzo Seidenari, Giuseppe Serra, Andrew D. Bagdanov, Alberto Del Bimbo

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Multimodal page classification in administrative document image streams.

Marçal Rusiñol, Volkmar Frinken, Dimosthenis Karatzas, Andrew D. Bagdanov, Josep Lladós

Int. J. Document Anal. Recognit., 2014

Scale Coding Bag-of-Words for Action Recognition.

Fahad Shahbaz Khan, Joost van de Weijer, Andrew D. Bagdanov, Michael Felsberg

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Unsupervised Scene Adaptation for Faster Multi-scale Pedestrian Detection.

Federico Bartoli, Giuseppe Lisanti, Svebor Karaman, Andrew D. Bagdanov, Alberto Del Bimbo

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Fisher Vectors over Random Density Forests for Object Recognition.

Claudio Baecchi, Francesco Turchini, Lorenzo Seidenari, Andrew D. Bagdanov, Alberto Del Bimbo

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Real-time people counting from depth imagery of crowded environments.

Enrico Bondi, Lorenzo Seidenari, Andrew D. Bagdanov, Alberto Del Bimbo

Proceedings of the 11th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2014

2013

Coloring Action Recognition in Still Images.

Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Andrew D. Bagdanov, Antonio M. López, Michael Felsberg

Int. J. Comput. Vis., 2013

Human action recognition using an ensemble of body-part detectors.

Bhaskar Chakraborty, Andrew D. Bagdanov, Jordi Gonzàlez, F. Xavier Roca

Expert Syst. J. Knowl. Eng., 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

Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2013, 2013

Multi-target Data Association Using Sparse Reconstruction.

Andrew D. Bagdanov, Alberto Del Bimbo, Dario Di Fina, Svebor Karaman, Giuseppe Lisanti, Iacopo Masi

Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

Document Classification and Page Stream Segmentation for Digital Mailroom Applications.

Albert Gordo, Marçal Rusiñol, Dimosthenis Karatzas, Andrew D. Bagdanov

Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

Using 3D Models to Recognize 2D Faces in the Wild.

Iacopo Masi, Giuseppe Lisanti, Andrew D. Bagdanov, Pietro Pala, Alberto Del Bimbo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Harmony Potentials - Fusing Global and Local Scale for Semantic Image Segmentation.

Xavier Boix, Josep M. Gonfaus, Joost van de Weijer, Andrew D. Bagdanov, Joan Serrat Gual, Jordi Gonzàlez

Int. J. Comput. Vis., 2012

Posterity Logging of Face Imagery for Video Surveillance.

Andrew D. Bagdanov, Alberto Del Bimbo, Fabrizio Dini, Giuseppe Lisanti, Iacopo Masi

IEEE Multim., 2012

Florence faces: A dataset supporting 2D/3D face recognition.

Andrew D. Bagdanov, Alberto Del Bimbo, Iacopo Masi

Proceedings of the 5th International Symposium on Communications, 2012

Multipage document retrieval by textual and visual representations.

Marçal Rusiñol, Dimosthenis Karatzas, Andrew D. Bagdanov, Josep Lladós

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Real-time hand status recognition from RGB-D imagery.

Andrew D. Bagdanov, Alberto Del Bimbo, Lorenzo Seidenari, Lorenzo Usai

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Multi-pose face detection for accurate face logging.

Andrew D. Bagdanov, Alberto Del Bimbo, Giuseppe Lisanti, Iacopo Masi

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Identity Inference: Generalizing Person Re-identification Scenarios.

Svebor Karaman, Andrew D. Bagdanov

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Color attributes for object detection.

Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Andrew D. Bagdanov, María Vanrell, Antonio M. López

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Accurate Moving Cast Shadow Suppression Based on Local Color Constancy Detection.

Ariel Amato, Mikhail G. Mozerov, Andrew D. Bagdanov, Jordi Gonzàlez

IEEE Trans. Image Process., 2011

Efficient discriminative multiresolution cascade for real-time human detection applications.

Marco Pedersoli, Jordi Gonzàlez, Andrew D. Bagdanov, F. Xavier Roca

Pattern Recognit. Lett., 2011

Portmanteau Vocabularies for Multi-Cue Image Representation.

Fahad Shahbaz Khan, Joost van de Weijer, Andrew D. Bagdanov, María Vanrell

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Multimedia for Cultural Heritage: Key Issues.

Rita Cucchiara, Costantino Grana, Daniele Borghesani, Maristella Agosti, Andrew D. Bagdanov

Proceedings of the Multimedia for Cultural Heritage - First International Workshop, 2011

MNEMOSYNE: Enhancing the Museum Experience through Interactive Media and Visual Profiling.

Andrew D. Bagdanov, Alberto Del Bimbo, Lea Landucci, Federico Pernici

Proceedings of the Multimedia for Cultural Heritage - First International Workshop, 2011

The florence 2D/3D hybrid face dataset.

Andrew D. Bagdanov, Alberto Del Bimbo, Iacopo Masi

Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding, 2011

Adaptive Video Compression for Video Surveillance Applications.

Andrew D. Bagdanov, Marco Bertini, Alberto Del Bimbo, Lorenzo Seidenari

Proceedings of the 2011 IEEE International Symposium on Multimedia, 2011

2010

Reactive Object Tracking with a Single PTZ Camera.

Murad Al Haj, Andrew D. Bagdanov, Jordi Gonzàlez, F. Xavier Roca

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Recursive Coarse-to-Fine Localization for Fast Object Detection.

Marco Pedersoli, Jordi Gonzàlez, Andrew D. Bagdanov, Juan José Villanueva

Proceedings of the Computer Vision - ECCV 2010, 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

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Automatic Key Pose Selection for 3D Human Action Recognition.

Wenjuan Gong, Andrew D. Bagdanov, F. Xavier Roca, Jordi Gonzàlez

Proceedings of the Articulated Motion and Deformable Objects, 6th International Conference, 2010

2009

Robust and Efficient Multipose Face Detection Using Skin Color Segmentation.

Murad Al Haj, Andrew D. Bagdanov, Jordi Gonzàlez, F. Xavier Roca

Proceedings of the Pattern Recognition and Image Analysis, 4th Iberian Conference, 2009

Towards Real-Time Human Action Recognition.

Bhaskar Chakraborty, Andrew D. Bagdanov, Jordi Gonzàlez

Proceedings of the Pattern Recognition and Image Analysis, 4th Iberian Conference, 2009

2007

Semantic annotation and retrieval of video events using multimedia ontologies.

Andrew D. Bagdanov, Marco Bertini, Alberto Del Bimbo, Giuseppe Serra, Carlo Torniai

Proceedings of the First IEEE International Conference on Semantic Computing (ICSC 2007), 2007

Trademark matching and retrieval in sports video databases.

Andrew D. Bagdanov, Lamberto Ballan, Marco Bertini, Alberto Del Bimbo

Proceedings of the 9th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2007

Adaptive uncertainty estimation for particle filter-based trackers.

Andrew D. Bagdanov, Alberto Del Bimbo, Fabrizio Dini, Walter Nunziati

Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007

Improving the robustness of particle filter-based visual trackers using online parameter adaptation.

Andrew D. Bagdanov, Alberto Del Bimbo, Fabrizio Dini, Walter Nunziati

Proceedings of the Fourth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2007

2006

Boosting Color Saliency in Image Feature Detection.

Joost van de Weijer, Theo Gevers, Andrew D. Bagdanov

IEEE Trans. Pattern Anal. Mach. Intell., 2006

A reinforcement learning approach to active camera foveation.

Andrew D. Bagdanov, Alberto Del Bimbo, Walter Nunziati, Federico Pernici

Proceedings of the 4th ACM International Workshop on Video Surveillance and Sensor Networks, 2006

Improving evidential quality of surveillance imagery through active face tracking.

Andrew D. Bagdanov, Alberto Del Bimbo, Walter Nunziati

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Learning Foveal Sensing Strategies in Unconstrained Surveillance Environments.

Andrew D. Bagdanov, Alberto Del Bimbo, Walter Nunziati, Federico Pernici

Proceedings of the Advanced Video and Signal Based Surveillance, 2006

2005

Acquisition of high-resolution images through on-line saccade sequence planning.

Andrew D. Bagdanov, Alberto Del Bimbo, Federico Pernici

Proceedings of the Third ACM International Workshop on Video Surveillance & Sensor Networks, 2005

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

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

Proceedings of the Euro-Par 2004 Parallel Processing, 2004

2003

First order Gaussian graphs for efficient structure classification.

Andrew D. Bagdanov, Marcel Worring

Pattern Recognit., 2003

Understanding Document Analysis and Understanding (through Modeling).

Bertin Klein, Stefan Agne, Andrew D. Bagdanov

Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003

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

Proceedings of the SOFSEM 2002: Theory and Practice of Informatics, 2002

Granulometric Analysis of Document Images.

Andrew D. Bagdanov, Marcel Worring

Proceedings of the 16th International Conference on Pattern Recognition, 2002

Multi-scale Document Description Using Rectangular Granulometries.

Andrew D. Bagdanov, Marcel Worring

Proceedings of the Document Analysis Systems V, 5th International Workshop, 2002

2001

Fine-Grained Document Genre Classification Using First Order Random Graphs.

Andrew D. Bagdanov, Marcel Worring

Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

1998

Projection profile based skew estimation algorithm for JBIG compressed images.

Junichi Kanai, Andrew D. Bagdanov

Int. J. Document Anal. Recognit., 1998

1996

Evaluation of document image skew estimation techniques.

Andrew D. Bagdanov, Junichi Kanai

Proceedings of the Document Recognition III, San Jose, CA, USA, January 28, 1996, 1996