Petia Radeva

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 171

Top Venues

CoRR

IbPRIA

Comput. Biol. Medicine

CCIA

Publications

Albert Tatjer, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva
Decoding class dynamics in learning with noisy labels. Pattern Recognit. Lett. 184 (2024)
Jesús M. Rodríguez-de-Vera, Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva
Precision at Scale: Domain-Specific Datasets On-Demand. CoRR (2024)
Bhalaji Nagarajan, Ricardo Marques, Eduardo Aguilar, Petia Radeva
Bayesian DivideMix++ for Enhanced Learning with Noisy Labels. Neural Networks 172 (2024)
Amir Sezavar, Hassan Farsi, Sajad Mohamadzadeh, Petia Radeva
A new person re-identification method by defining CNN-based feature extractor and sparse representation. Multim. Tools Appl. 83 (4) (2024)
Daniel Ponte, Eduardo Aguilar, Mireia Ribera, Petia Radeva
Ontology-Driven Deep Learning Model for Multitask Visual Food Analysis. VISIGRAPP (2): VISAPP (2024)
Soumick Chatterjee, Fatima Saad, Chompunuch Sarasaen, Suhita Ghosh, Valerie Krug, Rupali Khatun, Rahul Mishra, Nirja Desai, Petia Radeva, Georg Rose, Sebastian Stober, Oliver Speck, Andreas Nürnberger
Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray Images. J. Imaging 10 (2) (2024)
Ahmad AlMughrabi, Ricardo Marques, Petia Radeva
MomentsNeRF: Leveraging Orthogonal Moments for Few-Shot Neural Rendering. CoRR (2024)
Ahmed M. A. Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, Elisa Rauseo, Aaron M. Lee, Karim Lekadir, Petia Radeva, Steffen E. Petersen, Gloria Menegaz
A review of evaluation approaches for explainable AI with applications in cardiology. Artif. Intell. Rev. 57 (9) (2024)
Umair Haroon, Ahmad AlMughrabi, Ricardo Marques, Petia Radeva
MVSBoost: An Efficient Point Cloud-based 3D Reconstruction. CoRR (2024)
Jiangpeng He, Yuhao Chen, Gautham Vinod, Talha Ibn Mahmud, Fengqing Zhu, Edward J. Delp, Alexander Wong, Pengcheng Xi, Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva, Jiadong Tang, Dianyi Yang, Yu Gao, Zhaoxiang Liang, Yawei Jueluo, Chengyu Shi, Pengyu Wang
MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results. CoRR (2024)
Ahmad AlMughrabi, Adrián Galán, Ricardo Marques, Petia Radeva
FoodMem: Near Real-time and Precise Food Video Segmentation. CoRR (2024)
Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva
VolETA: One- and Few-shot Food Volume Estimation. CoRR (2024)
Albert Tatjer, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva
CCLM: Class-Conditional Label Noise Modelling. IbPRIA (2023)
Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction. ICCV (2023)
Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer
Continual Evidential Deep Learning for Out-of-Distribution Detection. CoRR (2023)
Payal Wankhede, Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde
A New Multimodal Medical Image Fusion based on Laplacian Autoencoder with Channel Attention. CoRR (2023)
Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction. CoRR (2023)
Martín Menchón, Estefanía Talavera, Jose M. Massa, Petia Radeva
Behavioural patterns discovery for lifestyle analysis from egocentric photo-streams. Pervasive Mob. Comput. 95 (2023)
Jesús M. Rodríguez-de-Vera, Pablo Villacorta, Imanol G. Estepa, Marc Bolaños, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva
Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition. MADiMa@MM (2023)
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 (2023)
Bhalaji Nagarajan, Marc Bolaños, Eduardo Aguilar, Petia Radeva
Deep ensemble-based hard sample mining for food recognition. J. Vis. Commun. Image Represent. 95 (2023)
Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer
Continual Evidential Deep Learning for Out-of-Distribution Detection. ICCV (Workshops) (2023)
Petia Radeva
Self-Supervised Fine-Grained Food Recognition. ICPRAM (2023)
Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde
Multi-modal Medical Neurological Image Fusion using Wavelet Pooled Edge Preserving Autoencoder. CoRR (2023)
Imanol González Estepa, Jesús M. Rodríguez-de-Vera, Bhalaji Nagarajan, Petia Radeva
Good Fences Make Good Neighbours. ICCV (Workshops) (2023)
David Dueñas Gaviria, Md Mostafa Kamal Saker, Petia Radeva
Efficient Deep Learning Ensemble for Skin Lesion Classification. VISIGRAPP (5: VISAPP) (2023)
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 (2023)
Pierfrancesco Bruni, Alex Falcon, Petia Radeva
Time-Aware Circulant Matrices for Question-Based Temporal Localization. ICIAP (2) (2023)
Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva
Pre-NeRF 360: Enriching Unbounded Appearances for Neural Radiance Fields. CoRR (2023)
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) (2023)
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 (2023)
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) (2023)
Eduardo Aguilar, Bhalaji Nagarajan, Petia Radeva
Uncertainty-aware selecting for an ensemble of deep food recognition models. Comput. Biol. Medicine 146 (2022)
Vishwesh Pillai, Pranav Mehar, Manisha Das, Deep Gupta, Petia Radeva
Integrated Hierarchical and Flat Classifiers for Food Image Classification using Epistemic Uncertainty. SPCOM (2022)
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) (2022)
Nil Ballús, Bhalaji Nagarajan, Petia Radeva
Opt-SSL: An Enhanced Self-Supervised Framework for Food Recognition. IbPRIA (2022)
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)
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)
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 (2022)
Bhalaji Nagarajan, Ricardo Marques, Marcos Mejia, Petia Radeva
Class-conditional Importance Weighting for Deep Learning with Noisy Labels. VISIGRAPP (5: VISAPP) (2022)
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)
Eduardo Aguilar, Bhalaji Nagarajan, Beatriz Remeseiro, Petia Radeva
Bayesian deep learning for semantic segmentation of food images. Comput. Electr. Eng. 103 (2022)
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 (2022)
Rishesh Agarwal, Manisha Das, Deep Gupta, Petia Radeva
Video Colorization Using Modified Autoencoder Generative Adversarial Networks. CVIP (1) (2022)
Javier Ródenas, Bhalaji Nagarajan, Marc Bolaños, Petia Radeva
Learning Multi-Subset of Classes for Fine-Grained Food Recognition. MADiMa @ ACM Multimedia (2022)
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)
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 (2022)
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 (2021)
Petia Radeva, Giovanni Maria Farinella
Editorial: Computer Vision Theory and Applications at VISAPP 2020. Int. J. Pattern Recognit. Artif. Intell. 35 (16) (2021)
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 (2021)
Alina Matei, Andreea Glavan, Petia Radeva, Estefanía Talavera
Towards Eating Habits Discovery in Egocentric Photo-Streams. IEEE Access 9 (2021)
Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde
Deep and Bio-Inspired Spiking Neural Networks Based Optimized Multi-modal Neurological Image Fusion Model. PReMI (2021)
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)
Giuseppe Pezzano, Oliver Díaz, Vicent Ribas Ripoll, Petia Radeva
CoLe-CNN+: Context learning - Convolutional neural network for COVID-19-Ground-Glass-Opacities detection and segmentation. Comput. Biol. Medicine 136 (2021)
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) (2021)
Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde
layer decomposition domain. Biomed. Signal Process. Control. 68 (2021)
Alejandro Cartas, Petia Radeva, Mariella Dimiccoli
Modeling long-term interactions to enhance action recognition. CoRR (2021)
Giuseppe Pezzano, Vicent Ribas Ripoll, Petia Radeva
CoLe-CNN: Context-learning convolutional neural network with adaptive loss function for lung nodule segmentation. Comput. Methods Programs Biomed. 198 (2021)
Estefanía Talavera, Andreea Glavan, Alina Matei, Petia Radeva
Eating Habits Discovery in Egocentric Photo-streams. CoRR (2020)
Khalid El Asnaoui, Petia Radeva
Automatically Assess Day Similarity Using Visual Lifelogs. J. Intell. Syst. 29 (1) (2020)
Martin Menchon, Estefanía Talavera, Jose M. Massa, Petia Radeva
Behavioural Pattern Discovery from Collections of Egocentric Photo-Streams. ECCV Workshops (4) (2020)
Alejandro Cartas, Estefanía Talavera, Petia Radeva, Mariella Dimiccoli
Understanding Event Boundaries for Egocentric Activity Recognition from Photo-Streams. ICPR Workshops (3) (2020)
Martin Menchon, Estefanía Talavera, Jose M. Massa, Petia Radeva
Behavioural pattern discovery from collections of egocentric photo-streams. CoRR (2020)
Mariona Caros, Maite Garolera, Petia Radeva, Xavier Giró-i-Nieto
Automatic Reminiscence Therapy for Dementia. ICMR (2020)
Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva
Uncertainty Modeling and Deep Learning Applied to Food Image Analysis. BIOSTEC (Selected Papers) (2020)
Estefanía Talavera, Carolin Wuerich, Nicolai Petkov, Petia Radeva
Topic modelling for routine discovery from egocentric photo-streams. Pattern Recognit. 104 (2020)
Margaríta Torre, Beatriz Remeseiro, Petia Radeva, Fernando Martinez
DeepNEM: Deep Network Energy-Minimization for Agricultural Field Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
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 (2020)
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) (2020)
Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva
Uncertainty Modeling and Deep Learning Applied to Food Image Analysis. BIODEVICES (2020)
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) (2020)
Alejandro Cartas, Petia Radeva, Mariella Dimiccoli
Activities of Daily Living Monitoring via a Wearable Camera: Toward Real-World Applications. IEEE Access 8 (2020)
Alejandro Cartas, Petia Radeva, Mariella Dimiccoli
Modeling Long-Term Interactions to Enhance Action Recognition. ICPR (2020)
Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva
Uncertainty-Aware Data Augmentation for Food Recognition. ICPR (2020)
Bhalaji Nagarajan, Eduardo Aguilar, Petia Radeva
S2ML-TL Framework for Multi-label Food Recognition. ICPR Workshops (5) (2020)
Petia Radeva
DVAE-SR: denoiser variational auto-encoder and super-resolution to counter adversarial attacks. ICMV (2020)
Petia Radeva
Uncertainty Modeling within an End-to-end Framework for Food Image Analysis. DeLTA (2020)
Eduardo Aguilar, Petia Radeva
Uncertainty-aware integration of local and flat classifiers for food recognition. Pattern Recognit. Lett. 136 (2020)
Mariona Caros, Maite Garolera, Petia Radeva, Xavier Giró-i-Nieto
Automatic Reminiscence Therapy for Dementia. CoRR (2019)
Emanuel Sánchez Aimar, Petia Radeva, Mariella Dimiccoli
Social Relation Recognition in Egocentric Photostreams. ICIP (2019)
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)
Estefanía Talavera, Petia Radeva, Nicolai Petkov
Towards Emotion Retrieval in Egocentric PhotoStream. CoRR (2019)
Estefanía Talavera, Alexandre Cola, Nicolai Petkov, Petia Radeva
Towards Egocentric Person Re-identification and Social Pattern Analysis. CoRR (2019)
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 (2019)
Estefanía Talavera, Nicolai Petkov, Petia Radeva
Unsupervised Routine Discovery in Egocentric Photo-Streams. CAIP (1) (2019)
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 (2019)
Eduardo Aguilar, Marc Bolaños, Petia Radeva
Regularized uncertainty-based multi-task learning model for food analysis. J. Vis. Commun. Image Represent. 60 (2019)
Eduardo Aguilar, Petia Radeva
Class-Conditional Data Augmentation Applied to Image Classification. CAIP (2) (2019)
Stefan Lonn, Petia Radeva, Mariella Dimiccoli
Smartphone picture organization: A hierarchical approach. Comput. Vis. Image Underst. 187 (2019)
Alejandro Cartas, Jordi Luque, Petia Radeva, Carlos Segura, Mariella Dimiccoli
Seeing and Hearing Egocentric Actions: How Much Can We Learn? ICCV Workshops (2019)
Alejandro Cartas, Jordi Luque, Petia Radeva, Carlos Segura, Mariella Dimiccoli
Seeing and Hearing Egocentric Actions: How Much Can We Learn? CoRR (2019)
Eduardo Aguilar, Petia Radeva
Food Recognition by Integrating Local and Flat Classifiers. IbPRIA (1) (2019)
Estefanía Talavera, Nicolai Petkov, Petia Radeva
Towards Unsupervised Familiar Scene Recognition in Egocentric Videos. CoRR (2019)
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 (2019)
Emanuel Sanchez Aimar, Petia Radeva, Mariella Dimiccoli
Social Relation Recognition in Egocentric Photostreams. CoRR (2019)
Estefanía Talavera, Nicolai Petkov, Petia Radeva
Unsupervised routine discovery in egocentric photo-streams. CoRR (2019)
Alejandro Cartas, Jordi Luque, Petia Radeva, Carlos Segura, Mariella Dimiccoli
How Much Does Audio Matter to Recognize Egocentric Object Interactions? CoRR (2019)
Estefanía Talavera, Alexandre Cola, Nicolai Petkov, Petia Radeva
Towards Egocentric Person Re-Identification and Social Pattern Analysis. APPIS (2018)
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh, Forhad U. H. Chowdhury, Saddam Abdulwahab, Santiago Romani, Petia Radeva, Domenec Puig
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. MICCAI (2) (2018)
Aina Ferrà, Eduardo Aguilar, Petia Radeva
Multiple Wavelet Pooling for CNNs. ECCV Workshops (4) (2018)

Petia Radeva.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Petia Radeva