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2020 – today
- 2023
[j104]Manisha Das
, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
Multimodal image sensor fusion in a cascaded framework using optimized dual channel pulse coupled neural network. J. Ambient Intell. Humaniz. Comput. 14(9): 11985-12004 (2023)- [j103]Moloud Abdar, Mohammad Amin Fahami, Leonardo Rundo, Petia Radeva, Alejandro F. Frangi, U. Rajendra Acharya, Abbas Khosravi, Hak-Keung Lam, Alexander Jung, Saeid Nahavandi:
Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification. IEEE Trans. Ind. Informatics 19(1): 274-285 (2023) - [c198]Albert Tatjer, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva:
CCLM: Class-Conditional Label Noise Modelling. IbPRIA 2023: 3-14 - [c197]Pierfrancesco Bruni, Alex Falcon, Petia Radeva:
Time-Aware Circulant Matrices for Question-Based Temporal Localization. ICIAP (2) 2023: 182-195 - [c196]Petia Radeva:
Self-Supervised Fine-Grained Food Recognition. ICPRAM 2023: 5 - [c195]David Dueñas Gaviria, Md Mostafa Kamal Saker, Petia Radeva:
Efficient Deep Learning Ensemble for Skin Lesion Classification. VISIGRAPP (5: VISAPP) 2023: 303-314 - [e19]A. Augusto de Sousa, Vlastimil Havran, Alexis Paljic, Tabitha C. Peck, Christophe Hurter, Helen C. Purchase, Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch:
Computer Vision, Imaging and Computer Graphics Theory and Applications - 16th International Joint Conference, VISIGRAPP 2021, Virtual Event, February 8-10, 2021, Revised Selected Papers. Communications in Computer and Information Science 1691, Springer 2023, ISBN 978-3-031-25476-5 [contents] - [e18]Petia Radeva, Giovanni Maria Farinella, Kadi Bouatouch:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2023, Volume 4: VISAPP, Lisbon, Portugal, February 19-21, 2023. SCITEPRESS 2023, ISBN 978-989-758-634-7 [contents] - [e17]Petia Radeva, Giovanni Maria Farinella, Kadi Bouatouch:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2023, Volume 5: VISAPP, Lisbon, Portugal, February 19-21, 2023. SCITEPRESS 2023, ISBN 978-989-758-634-7 [contents] - [i55]Pablo Villacorta, Jesús M. Rodríguez-de-Vera, Marc Bolaños, Ignacio Sarasua, Bhalaji Nagarajan, Petia Radeva:
ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets. CoRR abs/2303.09269 (2023) - [i54]Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva:
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction. CoRR abs/2303.09417 (2023) - [i53]Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva:
Pre-NeRF 360: Enriching Unbounded Appearances for Neural Radiance Fields. CoRR abs/2303.12234 (2023) - [i52]Ahmed M. A. Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen E. Petersen, Gloria Menegaz, Petia Radeva:
Characterizing the contribution of dependent features in XAI methods. CoRR abs/2304.01717 (2023) - [i51]Ahmed M. A. Salih, Zahra Raisi-Estabragh, Ilaria Boscolo Galazzo, Petia Radeva, Steffen E. Petersen, Gloria Menegaz, Karim Lekadir:
Commentary on explainable artificial intelligence methods: SHAP and LIME. CoRR abs/2305.02012 (2023) - [i50]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
- [j102]Eduardo Aguilar, Bhalaji Nagarajan, Petia Radeva:
Uncertainty-aware selecting for an ensemble of deep food recognition models. Comput. Biol. Medicine 146: 105645 (2022) - [j101]Eduardo Aguilar, Bhalaji Nagarajan, Beatriz Remeseiro, Petia Radeva:
Bayesian deep learning for semantic segmentation of food images. Comput. Electr. Eng. 103: 108380 (2022) - [j100]Ilaria Boscolo Galazzo, Federica Cruciani, Lorenza Brusini, Ahmed M. A. Salih, Petia Radeva, Silvia Francesca Storti, Gloria Menegaz:
Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges. IEEE Signal Process. Mag. 39(2): 99-116 (2022) - [j99]Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
Optimized Multimodal Neurological Image Fusion Based on Low-Rank Texture Prior Decomposition and Super-Pixel Segmentation. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [c194]Rishesh Agarwal, Manisha Das, Deep Gupta, Petia Radeva:
Video Colorization Using Modified Autoencoder Generative Adversarial Networks. CVIP (1) 2022: 304-315 - [c193]Nil Ballús, Bhalaji Nagarajan, Petia Radeva:
Opt-SSL: An Enhanced Self-Supervised Framework for Food Recognition. IbPRIA 2022: 655-666 - [c192]Guillem Martinez, Maya Aghaei, Martin Dijkstra, Bhalaji Nagarajan, Femke Jaarsma, Jaap van de Loosdrecht, Petia Radeva, Klaas Dijkstra:
Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation. ICIP 2022: 2331-2335 - [c191]Ahmed M. A. Salih, Ilaria Boscolo Galazzo, Federica Cruciani, Lorenza Brusini, Petia Radeva:
Investigating Explainable Artificial Intelligence for MRI-based Classification of Dementia: a New Stability Criterion for Explainable Methods. ICIP 2022: 4003-4007 - [c190]Kaisar Kushibar, Víctor M. Campello, Lidia Garrucho, Akis Linardos, Petia Radeva, Karim Lekadir:
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation. MICCAI (8) 2022: 514-524 - [c189]Javier Ródenas, Bhalaji Nagarajan, Marc Bolaños, Petia Radeva:
Learning Multi-Subset of Classes for Fine-Grained Food Recognition. MADiMa @ ACM Multimedia 2022: 17-26 - [c188]Dhruvi Shah, Hareshwar Wani, Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
STPGANsFusion: Structure and Texture Preserving Generative Adversarial Networks for Multi-modal Medical Image Fusion. NCC 2022: 172-177 - [c187]Vishwesh Pillai, Pranav Mehar, Manisha Das, Deep Gupta, Petia Radeva:
Integrated Hierarchical and Flat Classifiers for Food Image Classification using Epistemic Uncertainty. SPCOM 2022: 1-5 - [c186]Bhalaji Nagarajan, Ricardo Marques, Marcos Mejia, Petia Radeva:
Class-conditional Importance Weighting for Deep Learning with Noisy Labels. VISIGRAPP (5: VISAPP) 2022: 679-686 - [e16]Kadi Bouatouch, A. Augusto de Sousa, Manuela Chessa, Alexis Paljic, Andreas Kerren, Christophe Hurter, Giovanni Maria Farinella, Petia Radeva, José Braz:
Computer Vision, Imaging and Computer Graphics Theory and Applications - 15th International Joint Conference, VISIGRAPP 2020 Valletta, Malta, February 27-29, 2020, Revised Selected Papers. Communications in Computer and Information Science 1474, Springer 2022, ISBN 978-3-030-94892-4 [contents] - [e15]Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, Volume 4: VISAPP, Online Streaming, February 6-8, 2022. SCITEPRESS 2022, ISBN 978-989-758-555-5 [contents] - [e14]Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, Volume 5: VISAPP, Online Streaming, February 6-8, 2022. SCITEPRESS 2022, ISBN 978-989-758-555-5 [contents] - [i49]Kaisar Kushibar, Víctor Manuel Campello, Lidia Garrucho Moras, Akis Linardos, Petia Radeva, Karim Lekadir:
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation. CoRR abs/2203.08878 (2022) - [i48]Guillem Martinez, Maya Aghaei, Martin Dijkstra, Bhalaji Nagarajan, Femke Jaarsma, Jaap van de Loosdrecht, Petia Radeva, Klaas Dijkstra:
Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation. CoRR abs/2203.12350 (2022) - 2021
- [j98]Alina Matei, Andreea Glavan, Petia Radeva, Estefanía Talavera:
Towards Eating Habits Discovery in Egocentric Photo-Streams. IEEE Access 9: 17495-17506 (2021) - [j97]Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
Optimized CT-MR neurological image fusion framework using biologically inspired spiking neural model in hybrid ℓ1 - ℓ0 layer decomposition domain. Biomed. Signal Process. Control. 68: 102535 (2021) - [j96]Giuseppe Pezzano, Oliver Díaz, Vicent J. Ribas Ripoll, Petia Radeva:
CoLe-CNN+: Context learning - Convolutional neural network for COVID-19-Ground-Glass-Opacities detection and segmentation. Comput. Biol. Medicine 136: 104689 (2021) - [j95]Giuseppe Pezzano, Vicent J. Ribas Ripoll, Petia Radeva:
CoLe-CNN: Context-learning convolutional neural network with adaptive loss function for lung nodule segmentation. Comput. Methods Programs Biomed. 198: 105792 (2021) - [j94]Andreea Glavan, Alina Matei, Petia Radeva, Estefanía Talavera:
Does our social life influence our nutritional behaviour? Understanding nutritional habits from egocentric photo-streams. Expert Syst. Appl. 171: 114506 (2021) - [j93]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Vivek Kumar Singh, Syeda Furruka Banu, Forhad U. H. Chowdhury, Kabir Ahmed Choudhury, Sylvie Chambon, Petia Radeva, Domenec Puig, Mohamed Abdel-Nasser:
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network. Expert Syst. Appl. 183: 115433 (2021) - [j92]Petia Radeva, Giovanni Maria Farinella:
Editorial: Computer Vision Theory and Applications at VISAPP 2020. Int. J. Pattern Recognit. Artif. Intell. 35(16): 2102002:1-2102002:4 (2021) - [j91]Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
Multi-scale decomposition-based CT-MR neurological image fusion using optimized bio-inspired spiking neural model with meta-heuristic optimization. Int. J. Imaging Syst. Technol. 31(4): 2170-2188 (2021) - [c185]Ahmed M. A. Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen E. Petersen, Polyxeni Gkontra, Karim Lekadir, Gloria Menegaz, Petia Radeva:
A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimation. CBMS 2021: 492-497 - [e13]Giovanni Maria Farinella, Petia Radeva, José Braz, Kadi Bouatouch:
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, Volume 4: VISAPP, Online Streaming, February 8-10, 2021. SCITEPRESS 2021, ISBN 978-989-758-488-6 [contents] - [e12]Giovanni Maria Farinella, Petia Radeva, José Braz, Kadi Bouatouch:
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, Volume 5: VISAPP, Online Streaming, February 8-10, 2021. SCITEPRESS 2021, ISBN 978-989-758-488-6 [contents] - [i47]Alejandro Cartas, Petia Radeva, Mariella Dimiccoli:
Modeling long-term interactions to enhance action recognition. CoRR abs/2104.11520 (2021) - 2020
- [j90]Alejandro Cartas, Petia Radeva, Mariella Dimiccoli:
Activities of Daily Living Monitoring via a Wearable Camera: Toward Real-World Applications. IEEE Access 8: 77344-77363 (2020) - [j89]Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
NSST domain CT-MR neurological image fusion using optimised biologically inspired neural network. IET Image Process. 14(16): 4291-4305 (2020) - [j88]Khalid El Asnaoui, Petia Radeva:
Automatically Assess Day Similarity Using Visual Lifelogs. J. Intell. Syst. 29(1): 298-310 (2020) - [j87]Estefanía Talavera, Carolin Wuerich, Nicolai Petkov, Petia Radeva:
Topic modelling for routine discovery from egocentric photo-streams. Pattern Recognit. 104: 107330 (2020) - [j86]Eduardo Aguilar, Petia Radeva:
Uncertainty-aware integration of local and flat classifiers for food recognition. Pattern Recognit. Lett. 136: 237-243 (2020) - [j85]Margaríta Torre, Beatriz Remeseiro, Petia Radeva, Fernando Martínez:
DeepNEM: Deep Network Energy-Minimization for Agricultural Field Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 726-737 (2020) - [j84]Estefanía Talavera, Maria Leyva-Vallina, Md. Mostafa Kamal Sarker, Domenec Puig, Nicolai Petkov, Petia Radeva:
Hierarchical Approach to Classify Food Scenes in Egocentric Photo-Streams. IEEE J. Biomed. Health Informatics 24(3): 866-877 (2020) - [c184]Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva:
Uncertainty Modeling and Deep Learning Applied to Food Image Analysis. BIOSTEC (Selected Papers) 2020: 3-16 - [c183]Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva:
Uncertainty Modeling and Deep Learning Applied to Food Image Analysis. BIOSTEC 2020: 9-16 - [c182]Petia Radeva:
Uncertainty Modeling within an End-to-end Framework for Food Image Analysis. DeLTA 2020: 5 - [c181]Martin Menchon, Estefanía Talavera, Jose M. Massa, Petia Radeva:
Behavioural Pattern Discovery from Collections of Egocentric Photo-Streams. ECCV Workshops (4) 2020: 469-484 - [c180]Petia Radeva:
DVAE-SR: denoiser variational auto-encoder and super-resolution to counter adversarial attacks. ICMV 2020: 1160522 - [c179]Alejandro Cartas, Estefanía Talavera, Petia Radeva, Mariella Dimiccoli:
Understanding Event Boundaries for Egocentric Activity Recognition from Photo-Streams. ICPR Workshops (3) 2020: 334-347 - [c178]Bhalaji Nagarajan, Eduardo Aguilar, Petia Radeva:
S2ML-TL Framework for Multi-label Food Recognition. ICPR Workshops (5) 2020: 629-646 - [c177]Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva:
Uncertainty-Aware Data Augmentation for Food Recognition. ICPR 2020: 4017-4024 - [c176]Alejandro Cartas, Petia Radeva, Mariella Dimiccoli:
Modeling Long-Term Interactions to Enhance Action Recognition. ICPR 2020: 10351-10358 - [c175]Mariona Caros, Maite Garolera, Petia Radeva, Xavier Giró-i-Nieto:
Automatic Reminiscence Therapy for Dementia. ICMR 2020: 383-387 - [e11]Giovanni Maria Farinella, Petia Radeva, José Braz:
Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020, Volume 4: VISAPP, Valletta, Malta, February 27-29, 2020. SCITEPRESS 2020, ISBN 978-989-758-402-2 [contents] - [e10]Giovanni Maria Farinella, Petia Radeva, José Braz:
Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020, Volume 5: VISAPP, Valletta, Malta, February 27-29, 2020. SCITEPRESS 2020, ISBN 978-989-758-402-2 [contents] - [i46]Soumick Chatterjee, Fatima Saad, Chompunuch Sarasaen, Suhita Ghosh, Rupali Khatun, Petia Radeva, Georg Rose, Sebastian Stober, Oliver Speck, Andreas Nürnberger:
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images. CoRR abs/2006.02570 (2020) - [i45]Martin Menchon, Estefanía Talavera, Jose M. Massa, Petia Radeva:
Behavioural pattern discovery from collections of egocentric photo-streams. CoRR abs/2008.09561 (2020) - [i44]Estefanía Talavera, Andreea Glavan, Alina Matei, Petia Radeva:
Eating Habits Discovery in Egocentric Photo-streams. CoRR abs/2009.07646 (2020)
2010 – 2019
- 2019
- [j83]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Estefanía Talavera, Syeda Furruka Banu, Petia Radeva, Domenec Puig:
Recognizing Food Places in Egocentric Photo-Streams Using Multi-Scale Atrous Convolutional Networks and Self-Attention Mechanism. IEEE Access 7: 39069-39082 (2019) - [j82]Stefan Lonn, Petia Radeva, Mariella Dimiccoli:
Smartphone picture organization: A hierarchical approach. Comput. Vis. Image Underst. 187 (2019) - [j81]Eduardo Aguilar, Marc Bolaños, Petia Radeva:
Regularized uncertainty-based multi-task learning model for food analysis. J. Vis. Commun. Image Represent. 60: 360-370 (2019) - [c174]Eduardo Aguilar, Petia Radeva:
Class-Conditional Data Augmentation Applied to Image Classification. CAIP (2) 2019: 182-192 - [c173]Estefanía Talavera, Nicolai Petkov, Petia Radeva:
Unsupervised Routine Discovery in Egocentric Photo-Streams. CAIP (1) 2019: 576-588 - [c172]Md. Mostafa Kamal Sarker, Syeda Furruka Banu, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Sylvie Chambon, Petia Radeva, Domenec Puig:
Food Places Classification in Egocentric Images Using Siamese Neural Networks. CCIA 2019: 145-151 - [c171]Eduardo Aguilar, Petia Radeva:
Food Recognition by Integrating Local and Flat Classifiers. IbPRIA (1) 2019: 65-74 - [c170]Alejandro Cartas, Jordi Luque, Petia Radeva, Carlos Segura, Mariella Dimiccoli:
Seeing and Hearing Egocentric Actions: How Much Can We Learn? ICCV Workshops 2019: 4470-4480 - [c169]Emanuel Sánchez Aimar, Petia Radeva, Mariella Dimiccoli:
Social Relation Recognition in Egocentric Photostreams. ICIP 2019: 3227-3231 - [i43]Estefanía Talavera, Alexandre Cola, Nicolai Petkov, Petia Radeva:
Towards Egocentric Person Re-identification and Social Pattern Analysis. CoRR abs/1905.04073 (2019) - [i42]Estefanía Talavera, Nicolai Petkov, Petia Radeva:
Unsupervised routine discovery in egocentric photo-streams. CoRR abs/1905.04076 (2019) - [i41]Estefanía Talavera, Nicolai Petkov, Petia Radeva:
Towards Unsupervised Familiar Scene Recognition in Egocentric Videos. CoRR abs/1905.04093 (2019) - [i40]Estefanía Talavera, Maria Leyva-Vallina, Md. Mostafa Kamal Sarker, Domenec Puig, Nicolai Petkov, Petia Radeva:
Hierarchical approach to classify food scenes in egocentric photo-streams. CoRR abs/1905.04097 (2019) - [i39]Estefanía Talavera, Petia Radeva, Nicolai Petkov:
Towards Emotion Retrieval in Egocentric PhotoStream. CoRR abs/1905.04107 (2019) - [i38]Emanuel Sanchez Aimar, Petia Radeva, Mariella Dimiccoli:
Social Relation Recognition in Egocentric Photostreams. CoRR abs/1905.04734 (2019) - [i37]Alejandro Cartas, Jordi Luque, Petia Radeva, Carlos Segura, Mariella Dimiccoli:
How Much Does Audio Matter to Recognize Egocentric Object Interactions? CoRR abs/1906.00634 (2019) - [i36]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Syeda Furruka Banu, Farhan Akram, Forhad U. H. Chowdhury, Kabir Ahmed Choudhury, Sylvie Chambon, Petia Radeva, Domenec Puig:
MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network. CoRR abs/1907.00856 (2019) - [i35]Alejandro Cartas, Jordi Luque, Petia Radeva, Carlos Segura, Mariella Dimiccoli:
Seeing and Hearing Egocentric Actions: How Much Can We Learn? CoRR abs/1910.06693 (2019) - [i34]Mariona Caros, Maite Garolera, Petia Radeva, Xavier Giró-i-Nieto:
Automatic Reminiscence Therapy for Dementia. CoRR abs/1910.11949 (2019) - 2018
- [j80]Sumit K. Banchhor, Narendra D. Londhe, Tadashi Araki, Luca Saba, Petia Radeva, Narendra N. Khanna, Jasjit S. Suri:
Calcium detection, its quantification, and grayscale morphology-based risk stratification using machine learning in multimodality big data coronary and carotid scans: A review. Comput. Biol. Medicine 101: 184-198 (2018) - [j79]Maedeh Aghaei, Mariella Dimiccoli, Cristian Canton-Ferrer, Petia Radeva:
Towards social pattern characterization in egocentric photo-streams. Comput. Vis. Image Underst. 171: 104-117 (2018) - [j78]Marc Bolaños, Álvaro Peris, Francisco Casacuberta, Sergi Soler, Petia Radeva:
Egocentric video description based on temporally-linked sequences. J. Vis. Commun. Image Represent. 50: 205-216 (2018) - [j77]Mariella Dimiccoli, Cathal Gurrin, David J. Crandall, Xavier Giró-i-Nieto, Petia Radeva:
Introduction to the special issue: Egocentric Vision and Lifelogging. J. Vis. Commun. Image Represent. 55: 352-353 (2018) - [j76]Alejandro Cartas, Juan Marín, Petia Radeva, Mariella Dimiccoli:
Batch-based activity recognition from egocentric photo-streams revisited. Pattern Anal. Appl. 21(4): 953-965 (2018) - [j75]Eduardo Aguilar, Beatriz Remeseiro, Marc Bolaños, Petia Radeva:
Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants. IEEE Trans. Multim. 20(12): 3266-3275 (2018) - [c168]Estefanía Talavera, Alexandre Cola, Nicolai Petkov, Petia Radeva:
Towards Egocentric Person Re-Identification and Social Pattern Analysis. APPIS 2018: 203-211 - [c167]Md. Mostafa Kamal Sarker, Mohammed Jabreel, Hatem A. Rashwan, Syeda Furruka Banu, Vivek Kumar Singh, Antonio Moreno, Petia Radeva, Domenec Puig:
CuisineNet: Food Attributes Classification Using Multi-Scale Convolution Network. CCIA 2018: 365-372 - [c166]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Estefanía Talavera, Syeda Furruka Banu, Petia Radeva, Domenec Puig:
MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-Streams. ECCV Workshops (5) 2018: 423-433 - [c165]Marc Bolaños, Marc Valdivia, Petia Radeva:
Where and What Am I Eating? Image-Based Food Menu Recognition. ECCV Workshops (6) 2018: 590-605 - [c164]Aina Ferrà, Eduardo Aguilar, Petia Radeva:
Multiple Wavelet Pooling for CNNs. ECCV Workshops (4) 2018: 671-675 - [c163]Stefan Schurischuster, Beatriz Remeseiro, Petia Radeva, Martin Kampel:
A Preliminary Study of Image Analysis for Parasite Detection on Honey Bees. ICIAR 2018: 465-473 - [c162]Simone Balocco, Mauricio González, Ricardo Ñanculef, Petia Radeva, Gabriel Thomas:
Calcified Plaque Detection in IVUS Sequences: Preliminary Results Using Convolutional Nets. IWAIPR 2018: 34-42 - [c161]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh, Forhad U. H. Chowdhury, Saddam Abdulwahab, Santiago Romaní, Petia Radeva, Domenec Puig:
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. MICCAI (2) 2018: 21-29 - [e9]Antanas Verikas, Dmitry P. Nikolaev, Petia Radeva, Jianhong Zhou:
Eleventh International Conference on Machine Vision, ICMV 2018, Munich, Germany, 1-3 November 2018. SPIE Proceedings 11041, SPIE 2018 [contents] - [i33]Stefan Lonn, Petia Radeva, Mariella Dimiccoli:
A picture is worth a thousand words but how to organize thousands of pictures? CoRR abs/1803.05940 (2018) - [i32]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh, Forhad U. H. Chowdhury, Saddam Abdulwahab, Santiago Romaní, Petia Radeva, Domenec Puig:
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. CoRR abs/1805.10241 (2018) - [i31]Md. Mostafa Kamal Sarker, Mohammed Jabreel, Hatem A. Rashwan, Syeda Furruka Banu, Petia Radeva, Domenec Puig:
CuisineNet: Food Attributes Classification using Multi-scale Convolution Network. CoRR abs/1805.12081 (2018) - [i30]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Estefanía Talavera, Syeda Furruka Banu, Petia Radeva, Domenec Puig:
MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-streams. CoRR abs/1808.09829 (2018) - [i29]Alejandro Cartas, Estefanía Talavera, Petia Radeva, Mariella Dimiccoli:
On the Role of Event Boundaries in Egocentric Activity Recognition from Photostreams. CoRR abs/1809.00402 (2018) - 2017
- [j74]Sumit K. Banchhor, Narendra D. Londhe, Tadashi Araki, Luca Saba, Petia Radeva, John R. Laird, Jasjit S. Suri:
Well-balanced system for coronary calcium detection and volume measurement in a low resolution intravascular ultrasound videos. Comput. Biol. Medicine 84: 168-181 (2017) - [j73]Sumit K. Banchhor, Narendra D. Londhe, Tadashi Araki, Luca Saba, Petia Radeva, John R. Laird, Jasjit S. Suri:
Wall-based measurement features provides an improved IVUS coronary artery risk assessment when fused with plaque texture-based features during machine learning paradigm. Comput. Biol. Medicine 91: 198-212 (2017) - [j72]Mariella Dimiccoli, Marc Bolaños, Estefanía Talavera, Maedeh Aghaei, Stavri G. Nikolov, Petia Radeva:
SR-clustering: Semantic regularized clustering for egocentric photo streams segmentation. Comput. Vis. Image Underst. 155: 55-69 (2017) - [j71]Yan Yan, Yahong Han, Petia Radeva, Qi Tian:
Guest Editorial: Intermediate representation for vision and multimedia applications. J. Vis. Commun. Image Represent. 44: 227-228 (2017) - [j70]Marc Bolaños, Mariella Dimiccoli, Petia Radeva:
Toward Storytelling From Visual Lifelogging: An Overview. IEEE Trans. Hum. Mach. Syst. 47(1): 77-90 (2017) - [j69]Karim Lekadir, Alfiia Galimzianova, Àngels Betriu, Maria del Mar Vila, Laura Igual, Daniel L. Rubin, Elvira Fernández, Petia Radeva, Sandy Napel:
A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound. IEEE J. Biomed. Health Informatics 21(1): 48-55 (2017) - [c160]Md. Mostafa Kamal Sarker, Maria Leyva, Adel Saleh, Vivek Kumar Singh, Farhan Akram, Petia Radeva, Domenec Puig:
FoodPlaces: Learning Deep Features for Food Related Scene Understanding. CCIA 2017: 156-165 - [c159]Estefanía Talavera, Petia Radeva, Nicolai Petkov:
Towards Egocentric Sentiment Analysis. EUROCAST (2) 2017: 297-305 - [c158]Alejandro Cartas, Mariella Dimiccoli, Petia Radeva:
Detecting Hands in Egocentric Videos: Towards Action Recognition. EUROCAST (2) 2017: 330-338 - [c157]