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ORCIDBogdan Raducanu
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- affiliation: Computer Vision Center, Universitat Autònoma de Barcelona, Spain
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2020 – today
- 2024
[c61]Sandesh Kamath, Albin Soutif-Cormerais, Joost van de Weijer, Bogdan Raducanu:
The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks. CVPR Workshops 2024: 4182-4186- [c60]Héctor Laria Mantecon, Kai Wang, Joost van de Weijer, Bogdan Raducanu, Yaxing Wang:
NeRF-Diffusion for 3D-Consistent Face Generation and Editing. VISIGRAPP (2): VISAPP 2024: 587-594 - [i20]Sandesh Kamath, Albin Soutif-Cormerais, Joost van de Weijer, Bogdan Raducanu:
The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks. CoRR abs/2406.05114 (2024) - [i19]Héctor Laria Mantecon, Alex Gomez-Villa, Imad Eddine Marouf, Kai Wang, Bogdan Raducanu, Joost van de Weijer:
Assessing Open-world Forgetting in Generative Image Model Customization. CoRR abs/2410.14159 (2024) - [i18]Kai Wang, Fei Yang, Bogdan Raducanu, Joost van de Weijer:
Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic Classifier. CoRR abs/2410.22317 (2024) - 2023
- [j27]Cristhian A. Aguilera-Carrasco
, Luis Felipe González-Böhme, Francisco Valdes, Francisco Javier Quitral-Zapata, Bogdan Raducanu:
A Hand-Drawn Language for Human-Robot Collaboration in Wood Stereotomy. IEEE Access 11: 100975-100985 (2023) - [c59]Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer:
Continual Evidential Deep Learning for Out-of-Distribution Detection. ICCV (Workshops) 2023: 3436-3446 - [i17]Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer:
Continual Evidential Deep Learning for Out-of-Distribution Detection. CoRR abs/2309.02995 (2023) - 2022
- [c58]Francesco Pelosin, Saurav Jha, Andrea Torsello, Bogdan Raducanu, Joost van de Weijer:
Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization. CVPR Workshops 2022: 3819-3828 - [c57]Héctor Laria Mantecon, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu:
Transferring Unconditional to Conditional GANs with Hyper-Modulation. CVPR Workshops 2022: 3839-3848 - [c56]Javad Zolfaghari Bengar, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu:
Class-Balanced Active Learning for Image Classification. WACV 2022: 3707-3716 - [i16]Francesco Pelosin, Saurav Jha, Andrea Torsello, Bogdan Raducanu, Joost van de Weijer:
Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization. CoRR abs/2203.13167 (2022) - 2021
- [j26]Carola Figueroa Flores, David Berga, Joost van de Weijer, Bogdan Raducanu:
Saliency for free: Saliency prediction as a side-effect of object recognition. Pattern Recognit. Lett. 150: 1-7 (2021) - [c55]Javad Zolfaghari Bengar, Bogdan Raducanu, Joost van de Weijer:
When Deep Learners Change Their Mind: Learning Dynamics for Active Learning. CAIP (1) 2021: 403-413 - [c54]Yaxing Wang, Héctor Laria Mantecon, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu:
TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets. ICCV 2021: 13990-13999 - [c53]Javad Zolfaghari Bengar, Joost van de Weijer, Bartlomiej Twardowski, Bogdan Raducanu:
Reducing Label Effort: Self-Supervised meets Active Learning. ICCVW 2021: 1631-1639 - [c52]Carola Figueroa Flores, Bogdan Raducanu, David Berga, Joost van de Weijer:
Hallucinating Saliency Maps for Fine-grained Image Classification for Limited Data Domains. VISIGRAPP (4: VISAPP) 2021: 163-171 - [i15]Yaxing Wang, Héctor Laria Mantecon, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu:
TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets. CoRR abs/2105.06219 (2021) - [i14]Carola Figueroa Flores, David Berga, Joost van de Weijer, Bogdan Raducanu:
Saliency for free: Saliency prediction as a side-effect of object recognition. CoRR abs/2107.09628 (2021) - [i13]Javad Zolfaghari Bengar, Bogdan Raducanu, Joost van de Weijer:
When Deep Learners Change Their Mind: Learning Dynamics for Active Learning. CoRR abs/2107.14707 (2021) - [i12]Javad Zolfaghari Bengar, Joost van de Weijer, Bartlomiej Twardowski, Bogdan Raducanu:
Reducing Label Effort: Self-Supervised meets Active Learning. CoRR abs/2108.11458 (2021) - [i11]Javad Zolfaghari Bengar, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu:
Class-Balanced Active Learning for Image Classification. CoRR abs/2110.04543 (2021) - [i10]Héctor Laria Mantecon, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu:
Hyper-GAN: Transferring Unconditional to Conditional GANs with HyperNetworks. CoRR abs/2112.02219 (2021) - 2020
- [j25]Idoia Ruiz, Bogdan Raducanu, Rakesh Mehta, Jaume Amores:
Optimizing speed/accuracy trade-off for person re-identification via knowledge distillation. Eng. Appl. Artif. Intell. 87 (2020) - [c51]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 - [c50]Minghan Li, Xialei Liu, Joost van de Weijer, Bogdan Raducanu:
Learning to Rank for Active Learning: A Listwise Approach. ICPR 2020: 5587-5594 - [i9]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) - [i8]Carola Figueroa Flores, Bogdan Raducanu, David Berga, Joost van de Weijer:
Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains. CoRR abs/2007.12562 (2020) - [i7]Minghan Li, Xialei Liu, Joost van de Weijer, Bogdan Raducanu:
Learning to Rank for Active Learning: A Listwise Approach. CoRR abs/2008.00078 (2020)
2010 – 2019
- 2019
- [j24]María Elena Meza-de-Luna, Juan R. Terven, Bogdan Raducanu, Joaquín Salas:
A Social-Aware Assistant to support individuals with visual impairments during social interaction: A systematic requirements analysis. Int. J. Hum. Comput. Stud. 122: 50-60 (2019) - [j23]Carola Figueroa Flores, Abel Gonzalez-Garcia, Joost van de Weijer, Bogdan Raducanu:
Saliency for fine-grained object recognition in domains with scarce training data. Pattern Recognit. 94: 62-73 (2019) - [c49]Javad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga, Bogdan Raducanu, Hamed Habibi Aghdam, Mikhail G. Mozerov, Antonio M. López, Joost van de Weijer:
Temporal Coherence for Active Learning in Videos. ICCV Workshops 2019: 914-923 - [c48]Victoria Ruíz, Ángel Sánchez, José Francisco Vélez, Bogdan Raducanu:
Automatic Image-Based Waste Classification. IWINAC (2) 2019: 422-431 - [i6]Javad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga, Bogdan Raducanu, Hamed H. Aghdam, Mikhail G. Mozerov, Antonio M. López, Joost van de Weijer:
Temporal Coherence for Active Learning in Videos. CoRR abs/1908.11757 (2019) - 2018
- [j22]María Elena Meza-de-Luna, Juan R. Terven, Bogdan Raducanu, Joaquín Salas:
Assessing the Influence of Mirroring on the Perception of Professional Competence Using Wearable Technology. IEEE Trans. Affect. Comput. 9(2): 161-175 (2018) - [c47]Yaxing Wang, Chenshen Wu, Luis Herranz, Joost van de Weijer, Abel Gonzalez-Garcia, Bogdan Raducanu:
Transferring GANs: Generating Images from Limited Data. ECCV (6) 2018: 220-236 - [c46]Alejandro Gomez-Garay, Bogdan Raducanu, Joaquín Salas:
Dense Captioning of Natural Scenes in Spanish. MCPR 2018: 145-154 - [c45]Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu:
Memory Replay GANs: Learning to Generate New Categories without Forgetting. NeurIPS 2018: 5966-5976 - [i5]Yaxing Wang, Chenshen Wu, Luis Herranz, Joost van de Weijer, Abel Gonzalez-Garcia, Bogdan Raducanu:
Transferring GANs: generating images from limited data. CoRR abs/1805.01677 (2018) - [i4]Carola Figueroa Flores, Abel Gonzalez-Garcia, Joost van de Weijer, Bogdan Raducanu:
Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data. CoRR abs/1808.00262 (2018) - [i3]Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu:
Memory Replay GANs: learning to generate images from new categories without forgetting. CoRR abs/1809.02058 (2018) - [i2]Idoia Ruiz, Bogdan Raducanu, Rakesh Mehta, Jaume Amores:
Optimizing Speed/Accuracy Trade-Off for Person Re-identification via Knowledge Distillation. CoRR abs/1812.02937 (2018) - 2016
- [j21]Juan R. Terven, Bogdan Raducanu, María Elena Meza-de-Luna, Joaquín Salas:
Head-gestures mirroring detection in dyadic social interactions with computer vision-based wearable devices. Neurocomputing 175: 866-876 (2016) - [c44]Andrei Costea, Adrian Ionescu, Bogdan Raducanu, Michal Switakowski, Cristian Bârca, Juliusz Sompolski, Alicja Luszczak, Michal Szafranski, Giel de Nijs, Peter A. Boncz:
VectorH: Taking SQL-on-Hadoop to the Next Level. SIGMOD Conference 2016: 1105-1117 - [i1]Guim Perarnau, Joost van de Weijer, Bogdan Raducanu, José M. Álvarez:
Invertible Conditional GANs for image editing. CoRR abs/1611.06355 (2016) - 2015
- [j20]Manuel Graña, Bogdan Raducanu:
Bioinspired and knowledge based techniques and applications. Neurocomputing 150: 1-3 (2015) - [c43]Bogdan Raducanu, Alireza Bosaghzadeh, Fadi Dornaika:
Multi-observation face recognition in videos based on label propagation. CVPR Workshops 2015: 10-17 - [c42]Juan R. Terven, Bogdan Raducanu, María Elena Meza-de-Luna, Joaquín Salas:
Evaluating Real-Time Mirroring of Head Gestures Using Smart Glasses. ICCV Workshops 2015: 452-460 - 2014
- [j19]Juan R. Terven, Joaquín Salas, Bogdan Raducanu:
New Opportunities for Computer Vision-Based Assistive Technology Systems for the Visually Impaired. Computer 47(4): 52-58 (2014) - [j18]Cesar Isaza, Joaquín Salas, Bogdan Raducanu:
Rendering ground truth data sets to detect shadows cast by static objects in outdoors. Multim. Tools Appl. 70(1): 557-571 (2014) - [j17]Bogdan Raducanu, Fadi Dornaika:
Embedding new observations via sparse-coding for non-linear manifold learning. Pattern Recognit. 47(1): 480-492 (2014) - [c41]Juan R. Terven, Joaquín Salas, Bogdan Raducanu:
Robust Head Gestures Recognition for Assistive Technology. MCPR 2014: 152-161 - 2013
- [j16]Fadi Dornaika, Abdelmalik Moujahid, Bogdan Raducanu:
Facial expression recognition using tracked facial actions: Classifier performance analysis. Eng. Appl. Artif. Intell. 26(1): 467-477 (2013) - [j15]Bogdan Raducanu, Fadi Dornaika:
Texture-independent recognition of facial expressions in image snapshots and videos. Mach. Vis. Appl. 24(4): 811-820 (2013) - [c40]Fadi Dornaika, Alireza Bosaghzadeh, Bogdan Raducanu:
Efficient Graph Construction for Label Propagation Based Multi-observation Face Recognition. HBU 2013: 124-135 - [c39]Bogdan Raducanu, Peter A. Boncz, Marcin Zukowski:
Micro adaptivity in Vectorwise. SIGMOD Conference 2013: 1231-1242 - 2012
- [j14]Bogdan Raducanu, Daniel Gatica-Perez:
Inferring competitive role patterns in reality TV show through nonverbal analysis. Multim. Tools Appl. 56(1): 207-226 (2012) - [j13]Bogdan Raducanu, Fadi Dornaika:
A supervised non-linear dimensionality reduction approach for manifold learning. Pattern Recognit. 45(6): 2432-2444 (2012) - [j12]Sergio Escalera, Xavier Baró, Jordi Vitrià, Petia Radeva, Bogdan Raducanu:
Social Network Extraction and Analysis Based on Multimodal Dyadic Interaction. Sensors 12(2): 1702-1719 (2012) - [j11]Cesar Isaza, Joaquín Salas, Bogdan Raducanu:
Evaluation of Intrinsic Image Algorithms to Detect the Shadows Cast by Static Objects Outdoors. Sensors 12(10): 13333-13348 (2012) - [c38]Bogdan Raducanu, Fadi Dornaika:
Pose-Invariant Face Recognition in Videos for Human-Machine Interaction. ECCV Workshops (2) 2012: 566-575 - [c37]Bogdan Raducanu, Fadi Dornaika:
Out-of-Sample Embedding by Sparse Representation. SSPR/SPR 2012: 336-344 - [c36]Fadi Dornaika, Ammar Assoum, Bogdan Raducanu:
Automatic Dimensionality Estimation for Manifold Learning through Optimal Feature Selection. SSPR/SPR 2012: 575-583 - [c35]Cesar Isaza, Joaquín Salas, Bogdan Raducanu:
Synthetic ground truth dataset to detect shadows cast by static objects in outdoors. VIGTA@AVI 2012: 11 - [c34]Bogdan Raducanu, Fadi Dornaika:
Appearance-based face recognition using a supervised manifold learning framework. WACV 2012: 465-470 - 2011
- [c33]Ruth Aylett, Ginevra Castellano, Bogdan Raducanu, Ana Paiva, Marc Hanheide:
Long-term socially perceptive and interactive robot companions: challenges and future perspectives. ICMI 2011: 323-326 - 2010
- [j10]Bogdan Raducanu, Jordi Vitrià, Ales Leonardis:
Online pattern recognition and machine learning techniques for computer-vision: Theory and applications. Image Vis. Comput. 28(7): 1063-1064 (2010) - [c32]Cesar Isaza, Joaquín Salas, Bogdan Raducanu:
Toward the Detection of Urban Infrastructure's Edge Shadows. ACIVS (1) 2010: 30-37 - [c31]Fadi Dornaika, Bogdan Raducanu:
Single snapshot-based 3D head pose initialization for tracking in a HRI scenario. CVPR Workshops 2010: 32-39 - [c30]Sergio Escalera, Petia Radeva, Jordi Vitrià, Xavier Baró, Bogdan Raducanu:
Modelling and analyzing multimodal dyadic interactions using social networks. ICMI-MLMI 2010: 52:1-52:8 - [c29]Fadi Dornaika, Bogdan Raducanu:
Person-Specific Face Shape Estimation under Varying Head Pose from Single Snapshots. ICPR 2010: 3496-3499 - [c28]Bogdan Raducanu, Fadi Dornaika:
Dynamic facial expression recognition using Laplacian Eigenmaps-based manifold learning. ICRA 2010: 156-161
2000 – 2009
- 2009
- [j9]Fadi Dornaika, Bogdan Raducanu:
Three-Dimensional Face Pose Detection and Tracking Using Monocular Videos: Tool and Application. IEEE Trans. Syst. Man Cybern. Part B 39(4): 935-944 (2009) - [c27]Bogdan Raducanu, Jordi Vitrià, Daniel Gatica-Perez:
You are fired! Nonverbal role analysis in competitive meetings. ICASSP 2009: 1949-1952 - [c26]Dinesh Babu Jayagopi, Bogdan Raducanu, Daniel Gatica-Perez:
Characterizing conversational group dynamics using nonverbal behaviour. ICME 2009: 370-373 - [c25]Bogdan Raducanu, Fadi Dornaika:
Natural Facial Expression Recognition Using Dynamic and Static Schemes. ISVC (1) 2009: 730-739 - [c24]Fadi Dornaika, Bogdan Raducanu:
Simultaneous 3D face pose and person-specific shape estimation from a single image using a holistic approach. WACV 2009: 1-6 - [r1]Fadi Dornaika, Bogdan Raducanu:
Facial Expression Recognition for HCI Applications. Encyclopedia of Artificial Intelligence 2009: 625-631 - 2008
- [j8]Bogdan Raducanu, Jordi Vitrià:
Face Recognition by Artificial Vision Systems: a Cognitive Perspective. Int. J. Pattern Recognit. Artif. Intell. 22(5): 899-913 (2008) - [j7]Bogdan Raducanu, Jordi Vitrià:
Online nonparametric discriminant analysis for incremental subspace learning and recognition. Pattern Anal. Appl. 11(3-4): 259-268 (2008) - [j6]Bogdan Raducanu, Jordi Vitrià:
Learning to learn: From smart machines to intelligent machines. Pattern Recognit. Lett. 29(8): 1024-1032 (2008) - [c23]Bogdan Raducanu, Fadi Dornaika:
Dynamic vs. Static Recognition of Facial Expressions. AmI 2008: 13-25 - [c22]Fadi Dornaika, Bogdan Raducanu:
Constructing panoramic views through facial gaze tracking. ICME 2008: 969-972 - [c21]Fadi Dornaika, Bogdan Raducanu:
Detecting and tracking of 3D face pose for human-robot interaction. ICRA 2008: 1716-1721 - 2007
- [j5]Fadi Dornaika, Bogdan Raducanu:
Inferring facial expressions from videos: Tool and application. Signal Process. Image Commun. 22(9): 769-784 (2007) - [c20]Bogdan Raducanu, Jordi Vitrià:
Incremental Subspace Learning for Cognitive Visual Processes. BVAI 2007: 214-223 - [c19]Bogdan Raducanu, Jordi Vitrià:
Online Learning for Human-Robot Interaction. CVPR 2007 - [c18]Elvina Motard, Bogdan Raducanu, Viviane Cadenat, Jordi Vitrià:
Incremental On-Line Topological Map Learning for A Visual Homing Application. ICRA 2007: 2049-2054 - [c17]Fadi Dornaika, Bogdan Raducanu:
Efficient Facial Expression Recognition for Human Robot Interaction. IWANN 2007: 700-708 - 2006
- [c16]Fadi Dornaika, Bogdan Raducanu:
Recognizing Facial Expressions in Videos Using a Facial Action Analysis-Synthesis Scheme. AVSS 2006: 8 - [c15]Bogdan Raducanu, Jordi Vitrià:
A Robust Particle Filter-Based Face Tracker Using Combination of Color and Geometric Information. ICIAR (1) 2006: 922-933 - 2005
- [c14]Bogdan Raducanu, Jordi Vitrià:
Real-Time Face Tracking for Context-Aware Computing. CCIA 2005: 91-98 - 2004
- [j4]Bogdan Raducanu, Manuel Graña, F. Xabier Albizuri, Alicia D'Anjou:
A probabilistic hit-and-miss transform for face localization. Pattern Anal. Appl. 7(2): 117-127 (2004) - 2003
- [j3]F. Xabier Albizuri, Manuel Graña, Bogdan Raducanu:
Statistical transmission delay guarantee for nonreal-time traffic multiplexed with real-time traffic. Comput. Commun. 26(12): 1365-1375 (2003) - [j2]Bogdan Raducanu, Manuel Graña, F. Xabier Albizuri:
Morphological Scale Spaces and Associative Morphological Memories: Results on Robustness and Practical Applications. J. Math. Imaging Vis. 19(2): 113-131 (2003) - [c13]Bogdan Raducanu, Panos Markopoulos:
Applications of Vision-Based Attention-Guided Perceptive Devices to Aware Environments. EUSAI 2003: 410-418 - 2002
- [c12]Manuel Graña, Bogdan Raducanu, Peter Sussner, Gerhard X. Ritter:
On Endmember Detection in Hyperspectral Images with Morphological Associative Memories. IBERAMIA 2002: 526-535 - 2001
- [j1]Bogdan Raducanu, Manuel Graña, F. Xabier Albizuri, Alicia D'Anjou:
Face localization based on the morphological multiscale fingerprints. Pattern Recognit. Lett. 22(3/4): 359-371 (2001) - [c11]Bogdan Raducanu, Manuel Graña:
Visual self-localization with morphological neural networks. ESANN 2001: 25-30 - [c10]Bogdan Raducanu, Manuel Graña:
On the application of morphological heteroassociative neural networks. ICIP (1) 2001: 501-504 - [c9]Bogdan Raducanu, Manuel Graña, Peter Sussner:
Morphological Neural Networks for Vision Based Self-Localization. ICRA 2001: 2059-2064 - [c8]Bogdan Raducanu, Manuel Graña:
On the Application of Heteroassociative Morphological Memories to Face Localization. IWANN (2) 2001: 563-570 - 2000
- [c7]Bogdan Raducanu, Manuel Graña:
A Grayscale Hit-or-Miss Transform Based on Level Sets. ICIP 2000: 931-933 - [c6]Bogdan Raducanu, Manuel Graña:
Face Localization Based on the Morphological Multiscale Fingerprint. ICPR 2000: 2925-2928 - [c5]Bogdan Raducanu, Manuel Graña:
Morphological Neural Networks for Robust Visual Processing in Mobile Robotics. IJCNN (6) 2000: 140-143 - [c4]Bogdan Raducanu, Manuel Graña:
Testing Some Morphological Approaches to Face Localization. ISMM 2000: 415-424
1990 – 1999
- 1998
- [c3]Bogdan Raducanu, Manuel Graña, Alicia D'Anjou, F. Xabier Albizuri:
ANN for facial information processing: a review of recent approaches. ESANN 1998: 369-376 - [c2]Bogdan Raducanu, Manuel Graña:
Robust and Fast Face Localization on Image Sequences. EUROMEDIA 1998: 81-85 - 1997
- [c1]Bogdan Raducanu, Manuel Graña:
An approach to face localization based on signature analysis. AVSP 1997: 109-112
Coauthor Index
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