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ORCIDAndrew D. Bagdanov
Andy Bagdanov
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- affiliation: University of Florence, Italy
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2020 – today
- 2024
[j25]Simone Magistri
, Daniele Baracchi, Dasara Shullani, Andrew D. Bagdanov, Alessandro Piva:
Continual learning for adaptive social network identification. Pattern Recognit. Lett. 180: 82-89 (2024)- [j24]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): 113-126 (2024) - [c76]Girolamo Macaluso, Alessandro Sestini, Andrew D. Bagdanov:
A Benchmark Environment for Offline Reinforcement Learning in Racing Games. CoG 2024: 1-4 - [c75]Xialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng:
Task-Adaptive Saliency Guidance for Exemplar-Free Class Incremental Learning. CVPR 2024: 23954-23963 - [c74]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. ECCV (7) 2024: 473-490 - [c73]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 - [i41]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 abs/2402.03917 (2024) - [i40]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 abs/2405.18069 (2024) - [i39]Francesc Net, Marc Folia, Pep Casals, Andrew D. Bagdanov, Lluís Gómez:
EUFCC-340K: A Faceted Hierarchical Dataset for Metadata Annotation in GLAM Collections. CoRR abs/2406.02380 (2024) - [i38]Marco Mistretta, Alberto Baldrati, Marco Bertini, Andrew D. Bagdanov:
Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation. CoRR abs/2407.03056 (2024) - [i37]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 abs/2407.08536 (2024) - [i36]Girolamo Macaluso, Alessandro Sestini, Andrew D. Bagdanov:
A Benchmark Environment for Offline Reinforcement Learning in Racing Games. CoRR abs/2407.09415 (2024) - [i35]Carlo Romeo, Andrew D. Bagdanov:
Offline Reinforcement Learning with Imputed Rewards. CoRR abs/2407.10839 (2024) - 2023
- [j23]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): 5513-5533 (2023) - [c72]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: 1-8 - [c71]Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng:
Masked Autoencoders are Efficient Class Incremental Learners. ICCV 2023: 19047-19056 - [c70]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 - [c69]Simone Magistri, Daniele Baracchi, Dasara Shullani, Andrew D. Bagdanov, Alessandro Piva:
Towards Continual Social Network Identification. IWBF 2023: 1-6 - [i34]Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng:
Masked Autoencoders are Efficient Class Incremental Learners. CoRR abs/2308.12510 (2023) - [i33]Xialei Liu, Xusheng Cao, Haori Lu, Jia-Wen Xiao, Andrew D. Bagdanov, Ming-Ming Cheng:
Class Incremental Learning with Pre-trained Vision-Language Models. CoRR abs/2310.20348 (2023) - [i32]Girolamo Macaluso, Alessandro Sestini, Andrew D. Bagdanov:
Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline Pre-Training with Model Based Augmentation. CoRR abs/2312.09844 (2023) - 2022
- [c68]Kai Wang, Chenshen Wu, Andy Bagdanov, Xialei Liu, Shiqi Yang, Shangling Jui, Joost van de Weijer:
Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification. BMVC 2022: 38 - [c67]Kai Wang, Xialei Liu, Andy Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer:
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. CVPR Workshops 2022: 3728-3738 - [c66]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: 3866-3876 - [c65]Xialei Liu, Yu-Song Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng:
Long-Tailed Class Incremental Learning. ECCV (33) 2022: 495-512 - [i31]Alessandro Sestini, Linus Gisslén, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov:
CCPT: Automatic Gameplay Testing and Validation with Curiosity-Conditioned Proximal Trajectories. CoRR abs/2202.10057 (2022) - [i30]Alessandro Sestini, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov, Linus Gisslén:
Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning. CoRR abs/2208.07811 (2022) - [i29]Xialei Liu, Yu-Song Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng:
Long-Tailed Class Incremental Learning. CoRR abs/2210.00266 (2022) - [i28]Kai Wang, Chenshen Wu, Andy Bagdanov, Xialei Liu, Shiqi Yang, Shangling Jui, Joost van de Weijer:
Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification. CoRR abs/2210.01600 (2022) - [i27]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 abs/2211.12292 (2022) - [i26]Xialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng:
Robust Saliency Guidance for Data-free Class Incremental Learning. CoRR abs/2212.08251 (2022) - 2021
- [j22]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): 32:1-32:19 (2021) - [c64]Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov:
Demonstration-Efficient Inverse Reinforcement Learning in Procedurally Generated Environments. CoG 2021: 1-8 - [c63]Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov:
Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents. CoG 2021: 1-8 - [i25]My Kieu, Lorenzo Berlincioni, Leonardo Galteri, Marco Bertini, Andrew D. Bagdanov, Alberto Del Bimbo:
Robust pedestrian detection in thermal imagery using synthesized images. CoRR abs/2102.02005 (2021) - [i24]Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov:
Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents. CoRR abs/2104.10610 (2021) - [i23]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 abs/2111.04993 (2021) - [i22]Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer:
Continually Learning Self-Supervised Representations with Projected Functional Regularization. CoRR abs/2112.15022 (2021) - 2020
- [c62]Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer:
Generative Feature Replay For Class-Incremental Learning. CVPR Workshops 2020: 915-924 - [c61]My Kieu, Andrew D. Bagdanov, Marco Bertini, Alberto Del Bimbo:
Task-Conditioned Domain Adaptation for Pedestrian Detection in Thermal Imagery. ECCV (22) 2020: 546-562 - [c60]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: 8804-8811 - [c59]Riccardo Del Chiaro, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer:
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning. NeurIPS 2020 - [i21]Pietro Bongini, Federico Becattini, Andrew D. Bagdanov, Alberto Del Bimbo:
Visual Question Answering for Cultural Heritage. CoRR abs/2003.09853 (2020) - [i20]Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer:
Generative Feature Replay For Class-Incremental Learning. CoRR abs/2004.09199 (2020) - [i19]Riccardo Del Chiaro, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer:
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning. CoRR abs/2007.06271 (2020) - [i18]Marc Masana, Xialei Liu, Bartlomiej Twardowski, Mikel Menta, Andrew D. Bagdanov, Joost van de Weijer:
Class-incremental learning: survey and performance evaluation. CoRR abs/2010.15277 (2020) - [i17]Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov:
DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games. CoRR abs/2012.01914 (2020) - [i16]Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov:
Demonstration-efficient Inverse Reinforcement Learning in Procedurally Generated Environments. CoRR abs/2012.02527 (2020) - [i15]Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov:
Deep Policy Networks for NPC Behaviors that Adapt to Changing Design Parameters in Roguelike Games. CoRR abs/2012.03532 (2020)
2010 – 2019
- 2019
- [j21]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): 1862-1878 (2019) - [j20]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: 112-120 (2019) - [j19]Riccardo Del Chiaro, Andrew D. Bagdanov, Alberto Del Bimbo:
Webly-supervised zero-shot learning for artwork instance recognition. Pattern Recognit. Lett. 128: 420-426 (2019) - [c58]My Kieu, Andrew D. Bagdanov, Marco Bertini, Alberto Del Bimbo:
Domain Adaptation for Privacy-Preserving Pedestrian Detection in Thermal Imagery. ICIAP (2) 2019: 203-213 - [c57]Pietro Bongini, Riccardo Del Chiaro, Andrew D. Bagdanov, Alberto Del Bimbo:
GADA: Generative Adversarial Data Augmentation for Image Quality Assessment. ICIAP (2) 2019: 214-224 - [c56]Gianmarco Sanesi, Andrew D. Bagdanov, Marco Bertini, Alberto Del Bimbo:
DeepPhysio: Monitored Physiotherapeutic Exercise in the Comfort of your Own Home. ACM Multimedia 2019: 2219-2220 - [c55]Riccardo Del Chiaro, Andrew D. Bagdanov, Alberto Del Bimbo:
NoisyArt: A Dataset for Webly-supervised Artwork Recognition. VISIGRAPP (4: VISAPP) 2019: 467-475 - [i14]Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov:
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank. CoRR abs/1902.06285 (2019) - 2018
- [j18]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): 17069-17107 (2018) - [j17]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): 55-71 (2018) - [c54]Dena Bazazian, Dimosthenis Karatzas, Andrew D. Bagdanov:
Word Spotting in Scene Images Based on Character Recognition. CVPR Workshops 2018: 1872-1874 - [c53]Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov:
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank. CVPR 2018: 7661-7669 - [c52]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: 2262-2268 - [i13]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 abs/1802.02950 (2018) - [i12]Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov:
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank. CoRR abs/1803.03095 (2018) - [i11]Dena Bazazian, Dimosthenis Karatzas, Andrew D. Bagdanov:
Soft-PHOC Descriptor for End-to-End Word Spotting in Egocentric Scene Images. CoRR abs/1809.00854 (2018) - 2017
- [c51]Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov:
RankIQA: Learning from Rankings for No-Reference Image Quality Assessment. ICCV 2017: 1040-1049 - [c50]Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, José M. Álvarez:
Domain-Adaptive Deep Network Compression. ICCV 2017: 4299-4307 - [c49]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: 2399-2407 - [c48]Suman K. Ghosh, Ernest Valveny, Andrew D. Bagdanov:
Visual Attention Models for Scene Text Recognition. ICDAR 2017: 943-948 - [c47]Laura Lopez-Fuentes, Andrew D. Bagdanov, Joost van de Weijer, Harald Skinnemoen:
Bandwidth Limited Object Recognition in High Resolution Imagery. WACV 2017: 1197-1205 - [i10]Laura Lopez-Fuentes, Andrew D. Bagdanov, Joost van de Weijer, Harald Skinnemoen:
Bandwidth limited object recognition in high resolution imagery. CoRR abs/1701.04210 (2017) - [i9]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 abs/1702.05089 (2017) - [i8]Suman K. Ghosh, Ernest Valveny, Andrew D. Bagdanov:
Visual attention models for scene text recognition. CoRR abs/1706.01487 (2017) - [i7]Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov:
RankIQA: Learning from Rankings for No-reference Image Quality Assessment. CoRR abs/1707.08347 (2017) - [i6]Laura Lopez-Fuentes, Joost van de Weijer, Manuel González Hidalgo, Harald Skinnemoen, Andrew D. Bagdanov:
Review on Computer Vision Techniques in Emergency Situation. CoRR abs/1708.07455 (2017) - [i5]Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, José M. Álvarez:
Domain-adaptive deep network compression. CoRR abs/1709.01041 (2017) - 2016
- [j16]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): 3787-3811 (2016) - [c46]Anguelos Nicolaou, Andrew D. Bagdanov, Lluis Gomez i Bigorda, Dimosthenis Karatzas:
Visual Script and Language Identification. DAS 2016: 393-398 - [c45]Esteve Cervantes, Longlong Yu, Andrew D. Bagdanov, Marc Masana, Joost van de Weijer:
Hierarchical part detection with deep neural networks. ICIP 2016: 1933-1937 - [i4]Anguelos Nicolaou, Andrew D. Bagdanov, Lluis Gomez-Bigorda, Dimosthenis Karatzas:
Visual Script and Language Identification. CoRR abs/1601.01885 (2016) - [i3]Marc Masana, Joost van de Weijer, Andrew D. Bagdanov:
On-the-fly Network Pruning for Object Detection. CoRR abs/1605.03477 (2016) - [i2]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 abs/1612.04884 (2016) - 2015
- [j15]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): 1629-1642 (2015) - [j14]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): 4422-4432 (2015) - [c44]Dario Di Fina, Svebor Karaman, Andrew D. Bagdanov, Alberto Del Bimbo:
MORF: Multi-Objective Random Forests for face characteristic estimation. AVSS 2015: 1-6 - [c43]Anguelos Nicolaou, Andrew D. Bagdanov, Marcus Liwicki, Dimosthenis Karatzas:
Sparse radial sampling LBP for writer identification. ICDAR 2015: 716-720 - [c42]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:
ICDAR 2015 competition on Robust Reading. ICDAR 2015: 1156-1160 - [i1]Anguelos Nicolaou, Andrew D. Bagdanov, Marcus Liwicki, Dimosthenis Karatzas:
Sparse Radial Sampling LBP for Writer Identification. CoRR abs/1504.06133 (2015) - 2014
- [j13]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): 331-341 (2014) - [j12]Lorenzo Seidenari, Giuseppe Serra, Andrew D. Bagdanov, Alberto Del Bimbo:
Local Pyramidal Descriptors for Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 36(5): 1033-1040 (2014) - [j11]Svebor Karaman, Giuseppe Lisanti, Andrew D. Bagdanov, Alberto Del Bimbo:
Leveraging local neighborhood topology for large scale person re-identification. Pattern Recognit. 47(12): 3767-3778 (2014) - [c41]Enrico Bondi, Lorenzo Seidenari, Andrew D. Bagdanov, Alberto Del Bimbo:
Real-time people counting from depth imagery of crowded environments. AVSS 2014: 337-342 - [c40]Fahad Shahbaz Khan, Joost van de Weijer, Andrew D. Bagdanov, Michael Felsberg:
Scale Coding Bag-of-Words for Action Recognition. ICPR 2014: 1514-1519 - [c39]Federico Bartoli, Giuseppe Lisanti, Svebor Karaman, Andrew D. Bagdanov, Alberto Del Bimbo:
Unsupervised Scene Adaptation for Faster Multi-scale Pedestrian Detection. ICPR 2014: 3534-3539 - [c38]Claudio Baecchi, Francesco Turchini, Lorenzo Seidenari, Andrew D. Bagdanov, Alberto Del Bimbo:
Fisher Vectors over Random Density Forests for Object Recognition. ICPR 2014: 4328-4333 - [p1]Svebor Karaman, Giuseppe Lisanti, Andrew D. Bagdanov, Alberto Del Bimbo:
From Re-identification to Identity Inference: Labeling Consistency by Local Similarity Constraints. Person Re-Identification 2014: 287-307 - 2013
- [j10]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): 101-114 (2013) - [j9]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): 205-221 (2013) - [c37]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: 775-780 - [c36]Albert Gordo, Marçal Rusiñol, Dimosthenis Karatzas, Andrew D. Bagdanov:
Document Classification and Page Stream Segmentation for Digital Mailroom Applications. ICDAR 2013: 621-625 - [c35]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: 239-248 - [c34]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: 247-256 - 2012
- [j8]Andrew D. Bagdanov, Alberto Del Bimbo, Fabrizio Dini, Giuseppe Lisanti, Iacopo Masi:
Posterity Logging of Face Imagery for Video Surveillance. IEEE Multim. 19(4): 48-59 (2012) - [j7]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): 83-102 (2012) - [c33]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: 3306-3313 - [c32]Svebor Karaman, Andrew D. Bagdanov:
Identity Inference: Generalizing Person Re-identification Scenarios. ECCV Workshops (1) 2012: 443-452 - [c31]Marçal Rusiñol, Dimosthenis Karatzas, Andrew D. Bagdanov, Josep Lladós:
Multipage document retrieval by textual and visual representations. ICPR 2012: 521-524 - [c30]Andrew D. Bagdanov, Alberto Del Bimbo, Giuseppe Lisanti, Iacopo Masi:
Multi-pose face detection for accurate face logging. ICPR 2012: 2448-2451 - [c29]Andrew D. Bagdanov, Alberto Del Bimbo, Lorenzo Seidenari, Lorenzo Usai:
Real-time hand status recognition from RGB-D imagery. ICPR 2012: 2456-2459 - [c28]Andrew D. Bagdanov, Alberto Del Bimbo, Iacopo Masi:
Florence faces: A dataset supporting 2D/3D face recognition. ISCCSP 2012: 1-6 - 2011
- [j6]Marco Pedersoli, Jordi Gonzàlez, Andrew D. Bagdanov, F. Xavier Roca:
Efficient discriminative multiresolution cascade for real-time human detection applications. Pattern Recognit. Lett. 32(13): 1581-1587 (2011) - [j5]Ariel Amato, Mikhail G. Mozerov, Andrew D. Bagdanov, Jordi Gonzàlez:
Accurate Moving Cast Shadow Suppression Based on Local Color Constancy Detection. IEEE Trans. Image Process. 20(10): 2954-2966 (2011) - [c27]