Ricardo Guerrero

58 papers A* 6A 4B 3Journal 30Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degrading Zero-shot Capabilities of Contrastive Models. CoRR Hai X. Pham, David T. Hoffmann, Ricardo Guerrero, Brais Martínez
2024	A*	`conf`	Efficient Vision-Language pre-training via domain-specific learning for human activities. EMNLP Adrian Bulat, Yassine Ouali, Ricardo Guerrero, Brais Martínez, Georgios Tzimiropoulos
2023	A	`conf`	D WACV Yuting Wang, Ricardo Guerrero, Vladimir Pavlovic
2023	A*	`conf`	FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training. ICCV Adrian Bulat, Ricardo Guerrero, Brais Martínez, Georgios Tzimiropoulos
2023	J	`jnl`	Helping Personal Service Firms to Cope with Digital Transformation: Evaluation of a Digitalization Maturity Model. Pac. Asia J. Assoc. Inf. Syst. Ricardo Guerrero, Christoph Lattemann, Pia Gebbing
2022	J	`jnl`	D2DF2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation. CoRR Yuting Wang, Ricardo Guerrero, Vladimir Pavlovic
2022	J	`jnl`	FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training. CoRR Adrian Bulat, Ricardo Guerrero, Brais Martínez, Georgios Tzimiropoulos
2022	J	`jnl`	SOS! Self-supervised Learning Over Sets Of Handled Objects In Egocentric Action Recognition. CoRR Victor Escorcia, Ricardo Guerrero, Xiatian Zhu, Brais Martínez
2022	—	`conf`	SOS! Self-supervised Learning over Sets of Handled Objects in Egocentric Action Recognition. ECCV (13) Victor Escorcia, Ricardo Guerrero, Xiatian Zhu, Brais Martínez
2022	A	`conf`	Variational Continual Proxy-Anchor for Deep Metric Learning. AISTATS Minyoung Kim, Ricardo Guerrero, Hai Xuan Pham, Vladimir Pavlovic
2021	—	`ed.`	AI & Food'21: Proceedings of the 3rd Workshop on AIxFood, Virtual Event, China, 20 October 2021 AIxFood @ ACM Multimedia Ricardo Guerrero, Michael Spranger, Shuqiang Jiang, Chong-Wah Ngo
2021	A*	`conf`	AIxFood'21: 3rd Workshop on AIxFood. ACM Multimedia Ricardo Guerrero, Michael Spranger, Shuqiang Jiang, Chong-Wah Ngo
2021	A*	`conf`	CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval. AAAI Hai Xuan Pham, Ricardo Guerrero, Vladimir Pavlovic, Jiatong Li
2021	J	`jnl`	CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval. CoRR Hai Xuan Pham, Ricardo Guerrero, Jiatong Li, Vladimir Pavlovic
2021	A*	`conf`	Cross-modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in Shared Subspace Learning. ACM Multimedia Ricardo Guerrero, Hai Xuan Pham, Vladimir Pavlovic
2021	A*	`conf`	Learning Disentangled Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach. ACM Multimedia Minyoung Kim, Ricardo Guerrero, Vladimir Pavlovic
2021	A	`conf`	Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN. BMVC Fangda Han, Guoyao Hao, Ricardo Guerrero, Vladimir Pavlovic
2021	J	`jnl`	Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN. CoRR Fangda Han, Guoyao Hao, Ricardo Guerrero, Vladimir Pavlovic
2020	A	`conf`	CookGAN: Meal Image Synthesis from Ingredients. WACV Fangda Han, Ricardo Guerrero, Vladimir Pavlovic
2020	J	`jnl`	CookGAN: Meal Image Synthesis from Ingredients. CoRR Fangda Han, Ricardo Guerrero, Vladimir Pavlovic
2020	J	`jnl`	Cross-modal Retrieval and Synthesis (X-MRS): Closing the modality gap in shared subspace. CoRR Ricardo Guerrero, Hai Xuan Pham, Vladimir Pavlovic
2020	J	`jnl`	Learning Disentangled Latent Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach. CoRR Minyoung Kim, Ricardo Guerrero, Vladimir Pavlovic
2020	J	`jnl`	Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images. Comput. Medical Imaging Graph. Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Hongwei Li, Ricardo Guerrero, Rozanna Meijboom, Stewart Wiseman, Adam Waldman, Jianguo Zhang, Daniel Rueckert, Joanna M. Wardlaw, Taku Komura
2020	J	`jnl`	MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs. CoRR Fangda Han, Guoyao Hao, Ricardo Guerrero, Vladimir Pavlovic
2020	B	`conf`	Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images. ICPR Jiatong Li, Fangda Han, Ricardo Guerrero, Vladimir Pavlovic
2020	J	`jnl`	Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images. CoRR Jiatong Li, Fangda Han, Ricardo Guerrero, Vladimir Pavlovic
2019	—	`conf`	Deep Cooking: Predicting Relative Food Ingredient Amounts from Images. MADiMa @ ACM Multimedia Jiatong Li, Ricardo Guerrero, Vladimir Pavlovic
2019	J	`jnl`	Deep Cooking: Predicting Relative Food Ingredient Amounts from Images. CoRR Jiatong Li, Ricardo Guerrero, Vladimir Pavlovic
2019	—	`conf`	Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes. MLHC Ognjen (Oggi) Rudovic, Yuria Utsumi, Ricardo Guerrero, Kelly Peterson, Daniel Rueckert, Rosalind W. Picard
2019	J	`jnl`	Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes. CoRR Ognjen Rudovic, Yuria Utsumi, Ricardo Guerrero, Kelly Peterson, Daniel Rueckert, Rosalind W. Picard
2019	J	`jnl`	The Art of Food: Meal Image Synthesis from Ingredients. CoRR Fangda Han, Ricardo Guerrero, Vladimir Pavlovic
2018	J	`jnl`	A large margin algorithm for automated segmentation of white matter hyperintensity. Pattern Recognit. Chen Qin, Ricardo Guerrero, Christopher Bowles, Liang Chen, David Alexander Dickie, Maria del C. Valdés Hernández, Joanna M. Wardlaw, Daniel Rueckert
2018	—	`conf`	Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. MICCAI (1) Amir Alansary, Loïc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert
2018	J	`jnl`	Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. CoRR Amir Alansary, Loïc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven G. McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert
2018	J	`jnl`	Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease. CoRR Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew Lee, Ricardo Guerrero, Ben Glocker, Daniel Rueckert
2018	J	`jnl`	Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease. Medical Image Anal. Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero, Ben Glocker, Daniel Rueckert
2018	J	`jnl`	GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks. CoRR Christopher Bowles, Liang Chen, Ricardo Guerrero, Paul Bentley, Roger N. Gunn, Alexander Hammers, David Alexander Dickie, Maria del C. Valdés Hernández, Joanna M. Wardlaw, Daniel Rueckert
2018	—	`conf`	Personalized Gaussian Processes for Forecasting of Alzheimer's Disease Assessment Scale-Cognition Sub-Scale (ADAS-Cog13). EMBC Yuria Utsumi, Ognjen (Oggi) Rudovic, Kelly Peterson, Ricardo Guerrero, Rosalind W. Picard
2018	J	`jnl`	Personalized Gaussian Processes for Forecasting of Alzheimer's Disease Assessment Scale-Cognition Sub-Scale (ADAS-Cog13). CoRR Yuria Utsumi, Kelly Peterson, Ognjen Rudovic, Ricardo Guerrero, Rosalind W. Picard
2017	J	`jnl`	A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease. IEEE Trans. Biomed. Eng. Tong Tong, Qinquan Gao, Ricardo Guerrero, Christian Ledig, Liang Chen, Daniel Rueckert
2017	J	`jnl`	Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation. CoRR Ozan Oktay, Enzo Ferrante, Konstantinos Kamnitsas, Mattias P. Heinrich, Wenjia Bai, Jose Caballero, Ricardo Guerrero, Stuart A. Cook, Antonio de Marvao, Timothy Dawes, Declan P. O'Regan, Bernhard Kainz, Ben Glocker, Daniel Rueckert
2017	J	`jnl`	Group-constrained manifold learning: Application to AD risk assessment. Pattern Recognit. Ricardo Guerrero, Christian Ledig, Alexander Schmidt-Richberg, Daniel Rueckert
2017	J	`jnl`	Personalized Gaussian Processes for Future Prediction of Alzheimer's Disease Progression. CoRR Kelly Peterson, Ognjen Rudovic, Ricardo Guerrero, Rosalind W. Picard
2017	J	`jnl`	Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images. IEEE Trans. Medical Imaging Ozan Oktay, Wenjia Bai, Ricardo Guerrero, Martin Rajchl, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Mattias P. Heinrich, Ben Glocker, Daniel Rueckert
2016	J	`jnl`	Instantiated mixed effects modeling of Alzheimer's disease markers. NeuroImage Ricardo Guerrero, Alexander Schmidt-Richberg, Christian Ledig, Tong Tong, Robin Wolz, Daniel Rueckert
2016	—	`conf`	Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks. MICCAI (3) Ozan Oktay, Wenjia Bai, Matthew C. H. Lee, Ricardo Guerrero, Konstantinos Kamnitsas, Jose Caballero, Antonio de Marvao, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert
2016	—	`conf`	Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation. SASHIMI@MICCAI Christopher Bowles, Chen Qin, Christian Ledig, Ricardo Guerrero, Roger N. Gunn, Alexander Hammers, Eleni Sakka, David Alexander Dickie, Maria del C. Valdés Hernández, Natalie A. Royle, Joanna M. Wardlaw, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Frederik Barkhof, Philip Scheltens, Daniel Rueckert
2015	—	`conf`	Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker Learning. MLMI Ricardo Guerrero, Christian Ledig, Alexander Schmidt-Richberg, Daniel Rueckert
2015	—	`conf`	Multi-stage Biomarker Models for Progression Estimation in Alzheimer's Disease. IPMI Alexander Schmidt-Richberg, Ricardo Guerrero, Christian Ledig, Helena Molina-Abril, Alejandro F. Frangi, Daniel Rueckert
2014	—	`conf`	Manifold Alignment and Transfer Learning for Classification of Alzheimer's Disease. MLMI Ricardo Guerrero, Christian Ledig, Daniel Rueckert
2014	J	`jnl`	Manifold population modeling as a neuro-imaging biomarker: Application to ADNI and ADNI-GO. NeuroImage Ricardo Guerrero, Robin Wolz, A. W. Rao, Daniel Rueckert
2014	J	`jnl`	Multiple instance learning for classification of dementia in brain MRI. Medical Image Anal. Tong Tong, Robin Wolz, Qinquan Gao, Ricardo Guerrero, Joseph V. Hajnal, Daniel Rueckert
2013	B	`conf`	Data-specific feature point descriptor matching using dictionary learning and graphical models. Image Processing Ricardo Guerrero, Daniel Rueckert
2012	—	`conf`	Automatic detection of coronary stent struts in intravascular OCT imaging. Computer-Aided Diagnosis Kai-Pin Tung, Wenzhe Shi, Luis Pizarro, Hiroto Tsujioka, Haiyan Wang, Ricardo Guerrero, Ranil De Silva, Philip Eddie Edwards, Daniel Rueckert
2012	—	`conf`	Landmark localisation in brain MR images using feature point descriptors based on 3D local self-similarities. ISBI Ricardo Guerrero, Luis Pizarro, Robin Wolz, Daniel Rueckert
2012	—	`conf`	Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative. MLMI Ricardo Guerrero, Claire R. Donoghue, Luis Pizarro, Daniel Rueckert
2012	B	`conf`	Nonrigid free-form registration using landmark-based statistical deformation models. Image Processing Stefan Pszczólkowski, Luis Pizarro, Ricardo Guerrero, Daniel Rueckert
2011	—	`conf`	Laplacian Eigenmaps Manifold Learning for Landmark Localization in Brain MR Images. MICCAI (2) Ricardo Guerrero, Robin Wolz, Daniel Rueckert