Alvaro Soto

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 60

Top Topics

Predictive Coding

Robotic Navigation

Activity Recognition

Top Venues

Image Vis. Comput.

Publications

Pablo Messina, René Vidal, Denis Parra, Alvaro Soto, Vladimir Araujo
Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation. ACL (Findings) (2024)
Gabriel Sepulveda, Marynel Vázquez, Alvaro Soto
APEX: affordance-based plan executor for indoor robotic navigation. Adv. Robotics 38 (13) (2024)
Andrés Villa, Juan Carlos León Alcázar, Alvaro Soto, Bernard Ghanem
Behind the Magic, MERLIM: Multi-modal Evaluation Benchmark for Large Image-Language Models. CoRR (2023)
Andrés Villa, Juan León Alcázar, Motasem Alfarra, Kumail Alhamoud, Julio Hurtado, Fabian Caba Heilbron, Alvaro Soto, Bernard Ghanem
PIVOT: Prompting for Video Continual Learning. CVPR (2023)
Vladimir Araujo, Alvaro Soto, Marie-Francine Moens
A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information. CoRR (2023)
Vladimir Araujo, Alvaro Soto, Marie-Francine Moens
A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information. ACL (Findings) (2023)
Vladimir Araujo, Marie-Francine Moens, Alvaro Soto
Learning Sentence-Level Representations with Predictive Coding. Mach. Learn. Knowl. Extr. 5 (1) (2023)
Julio Hurtado, Alain Raymond-Saez, Vladimir Araujo, Vincenzo Lomonaco, Alvaro Soto, Davide Bacciu
Memory Population in Continual Learning via Outlier Elimination. ICCV (Workshops) (2023)
Felipe del Río, Julio Hurtado, Cristian Buc, Alvaro Soto, Vincenzo Lomonaco
Studying Generalization on Memory-Based Methods in Continual Learning. CoRR (2023)
Alain Raymond-Saez, Julio Hurtado, Alvaro Soto
A Study on the Predictability of Sample Learning Consistency. CoRR (2022)
Vladimir Araujo, Julio Hurtado, Alvaro Soto, Marie-Francine Moens
Entropy-based Stability-Plasticity for Lifelong Learning. CVPR Workshops (2022)
Andrés Villa, Juan León Alcázar, Motasem Alfarra, Kumail Alhamoud, Julio Hurtado, Fabian Caba Heilbron, Alvaro Soto, Bernard Ghanem
PIVOT: Prompting for Video Continual Learning. CoRR (2022)
Vladimir Araujo, Julio Hurtado, Alvaro Soto, Marie-Francine Moens
Entropy-based Stability-Plasticity for Lifelong Learning. CoRR (2022)
Pablo Messina, Pablo Pino, Denis Parra, Alvaro Soto, Cecilia Besa, Sergio Uribe, Marcelo E. Andia, Cristian Tejos, Claudia Prieto, Daniel Capurro
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images. ACM Comput. Surv. 54 (10s) (2022)
Vladimir Araujo, Helena Balabin, Julio Hurtado, Alvaro Soto, Marie-Francine Moens
How Relevant is Selective Memory Population in Lifelong Language Learning? AACL/IJCNLP (2) (2022)
Vladimir Araujo, Andrés Carvallo, Souvik Kundu, José Cañete, Marcelo Mendoza, Robert E. Mercer, Felipe Bravo-Marquez, Marie-Francine Moens, Alvaro Soto
Evaluation Benchmarks for Spanish Sentence Representations. LREC (2022)
Vladimir Araujo, Andrés Carvallo, Souvik Kundu, José Cañete, Marcelo Mendoza, Robert E. Mercer, Felipe Bravo-Marquez, Marie-Francine Moens, Alvaro Soto
Evaluation Benchmarks for Spanish Sentence Representations. CoRR (2022)
Vladimir Araujo, Helena Balabin, Julio Hurtado, Alvaro Soto, Marie-Francine Moens
How Relevant is Selective Memory Population in Lifelong Language Learning? CoRR (2022)
Carlos Aspillaga, Marcelo Mendoza, Alvaro Soto
Inspecting the concept knowledge graph encoded by modern language models. CoRR (2021)
Vladimir Araujo, Andrés Villa, Marcelo Mendoza, Marie-Francine Moens, Alvaro Soto
Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations. CoRR (2021)
Vladimir Araujo, Andrés Villa, Marcelo Mendoza, Marie-Francine Moens, Alvaro Soto
Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations. EMNLP (1) (2021)
Julio Hurtado, Hans Lobel, Alvaro Soto
Overcoming Catastrophic Forgetting Using Sparse Coding and Meta Learning. IEEE Access 9 (2021)
Carlos Aspillaga, Marcelo Mendoza, Alvaro Soto
Inspecting the concept knowledge graph encoded by modern language models. ACL/IJCNLP (Findings) (2021)
Andrés Villa, Juan-Manuel Perez-Rua, Vladimir Araujo, Juan Carlos Niebles, Victor Escorcia, Alvaro Soto
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification. CoRR (2021)
Andrés Villa, Juan-Manuel Pérez-Rúa, Vladimir Araujo, Juan Carlos Niebles, Victor Escorcia, Alvaro Soto
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification. BMVC (2021)
Juan Pablo de Vicente, Alvaro Soto
DeepSocNav: Social Navigation by Imitating Human Behaviors. CoRR (2021)
Julio Hurtado, Alain Raymond-Saez, Alvaro Soto
Optimizing Reusable Knowledge for Continual Learning via Metalearning. CoRR (2021)
Julio Hurtado, Alain Raymond-Saez, Alvaro Soto
Optimizing Reusable Knowledge for Continual Learning via Metalearning. NeurIPS (2021)
Patricio Cerda-Mardini, Vladimir Araujo, Alvaro Soto
Translating Natural Language Instructions for Behavioral Robot Navigation with a Multi-Head Attention Mechanism. CoRR (2020)
Felipe Riquelme, Alfredo De Goyeneche, Yundong Zhang, Juan Carlos Niebles, Alvaro Soto
Explaining VQA predictions using visual grounding and a knowledge base. Image Vis. Comput. 101 (2020)
Hans Lobel, René Vidal, Alvaro Soto
CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition. Comput. Vis. Image Underst. 191 (2020)
Cristóbal Eyzaguirre, Alvaro Soto
Differentiable Adaptive Computation Time for Visual Reasoning. CoRR (2020)
Pablo Messina, Pablo Pino, Denis Parra, Alvaro Soto, Cecilia Besa, Sergio Uribe, Marcelo E. Andia, Cristian Tejos, Claudia Prieto, Daniel Capurro
A Survey on Deep Learning and Explainability for Automatic Image-based Medical Report Generation. CoRR (2020)
Andres Carvallo, Denis Parra, Hans Lobel, Alvaro Soto
Automatic document screening of medical literature using word and text embeddings in an active learning setting. Scientometrics 125 (3) (2020)
Yundong Zhang, Juan Carlos Niebles, Alvaro Soto
Interpretable Visual Question Answering by Visual Grounding From Attention Supervision Mining. WACV (2019)
Kevin Chen, Juan Pablo de Vicente, Gabriel Sepulveda, Fei Xia, Alvaro Soto, Marynel Vázquez, Silvio Savarese
A Behavioral Approach to Visual Navigation with Graph Localization Networks. CoRR (2019)
Billy Peralta, Ariel Saavedra, Luis Alberto Caro, Alvaro Soto
Mixture of Experts with Entropic Regularization for Data Classification. Entropy 21 (2) (2019)
Pablo Messina, Vicente Dominguez, Denis Parra, Christoph Trattner, Alvaro Soto
Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features. User Model. User Adapt. Interact. 29 (2) (2019)
Kevin Chen, Juan Pablo de Vicente, Gabriel Sepulveda, Fei Xia, Alvaro Soto, Marynel Vázquez, Silvio Savarese
A Behavioral Approach to Visual Navigation with Graph Localization Networks. Robotics: Science and Systems (2019)
Xiaoxue Zang, Marynel Vázquez, Juan Carlos Niebles, Alvaro Soto, Silvio Savarese
Behavioral Indoor Navigation With Natural Language Directions. HRI (Companion) (2018)
Jingwei Ji, Shyamal Buch, Alvaro Soto, Juan Carlos Niebles
End-to-End Joint Semantic Segmentation of Actors and Actions in Video. ECCV (4) (2018)
Yundong Zhang, Juan Carlos Niebles, Alvaro Soto
Interpretable Visual Question Answering by Visual Grounding from Attention Supervision Mining. CoRR (2018)
Xiaoxue Zang, Ashwini Pokle, Marynel Vázquez, Kevin Chen, Juan Carlos Niebles, Alvaro Soto, Silvio Savarese
Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation. EMNLP (2018)
Gabriel Sepulveda, Juan Carlos Niebles, Alvaro Soto
A Deep Learning Based Behavioral Approach to Indoor Autonomous Navigation. ICRA (2018)
Xiaoxue Zang, Ashwini Pokle, Marynel Vázquez, Kevin Chen, Juan Carlos Niebles, Alvaro Soto, Silvio Savarese
Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation. CoRR (2018)
Gabriel Sepulveda, Juan Carlos Niebles, Alvaro Soto
A Deep Learning Based Behavioral Approach to Indoor Autonomous Navigation. CoRR (2018)
Billy Peralta, Luis Alberto Caro, Alvaro Soto
Unsupervised Local Regressive Attributes for Pedestrian Re-identification. CIARP (2017)
Rodrigo Toro Icarte, Jorge A. Baier, Cristian Ruz, Alvaro Soto
How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval. CoRR (2017)
Tomas Puelma, Viviana Araus, Javier Canales, Elena A. Vidal, Juan M. Cabello, Alvaro Soto, Rodrigo A. Gutiérrez
GENIUS: web server to predict local gene networks and key genes for biological functions. Bioinform. 33 (5) (2017)
Pablo Messina, Vicente Dominguez, Denis Parra, Christoph Trattner, Alvaro Soto
Exploring Content-based Artwork Recommendation with Metadata and Visual Features. CoRR (2017)
Ivan Lillo, Juan Carlos Niebles, Alvaro Soto
Sparse composition of body poses and atomic actions for human activity recognition in RGB-D videos. Image Vis. Comput. 59 (2017)
Vicente Dominguez, Pablo Messina, Denis Parra, Domingo Mery, Christoph Trattner, Alvaro Soto
Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation. CoRR (2017)
Rodrigo Toro Icarte, Jorge A. Baier, Cristian Ruz, Alvaro Soto
How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval. IJCAI (2017)
Ivan Lillo, Juan Carlos Niebles, Alvaro Soto
Corrigendum to "Sparse Composition of Body Poses and Atomic Actions for Human Activity Recognition in RGB-D Videos" [Image Vis. Comput. 59 (2017) 63-75]. Image Vis. Comput. 66 (2017)
Vicente Dominguez, Pablo Messina, Denis Parra, Domingo Mery, Christoph Trattner, Alvaro Soto
Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation. DLRS@RecSys (2017)
Ivan Lillo, Juan Carlos Niebles, Alvaro Soto
A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets. CVPR (2016)
Analí Alfaro, Domingo Mery, Alvaro Soto
Action Recognition in Video Using Sparse Coding and Relative Features. CoRR (2016)
Ivan Lillo, Juan Carlos Niebles, Alvaro Soto
A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets. CoRR (2016)
Analí Alfaro, Domingo Mery, Alvaro Soto
Action Recognition in Video Using Sparse Coding and Relative Features. CVPR (2016)
Billy Peralta, Luis Alberto Caro, Alvaro Soto
A proposal for supervised clustering with Dirichlet Process using labels. Pattern Recognit. Lett. 80 (2016)
Santiago Larrain, Denis Parra, Alvaro Soto
Towards Improving Top-N Recommendation by Generalization of SLIM. RecSys Posters (2015)
Hans Lobel, René Vidal, Alvaro Soto
Learning Shared, Discriminative, and Compact Representations for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37 (11) (2015)
Cristian Ruz, Christian Pieringer, Billy Peralta, Ivan Lillo, Pablo Espinace, R. Gonzalez, B. Wendt, Domingo Mery, Alvaro Soto
Visual Recognition to Access and Analyze People Density and Flow Patterns in Indoor Environments. WACV (2015)
Ivan Lillo, Alvaro Soto, Juan Carlos Niebles
Discriminative Hierarchical Modeling of Spatio-temporally Composable Human Activities. CVPR (2014)
Karim Pichara, Alvaro Soto
Local feature selection using Gaussian process regression. Intell. Data Anal. 18 (3) (2014)
Billy Peralta, Alvaro Soto
Embedded local feature selection within mixture of experts. Inf. Sci. 269 (2014)
Billy Peralta, Alvaro Soto
Multi-target Tracking with Sparse Group Features and Position Using Discrete-Continuous Optimization. ACCV Workshops (3) (2014)
Analí Alfaro, Domingo Mery, Alvaro Soto
Human Action Recognition from Inter-temporal Dictionaries of Key-Sequences. PSIVT (2013)
Billy Peralta, Pablo Espinace, Alvaro Soto
Enhancing K-Means using class labels. Intell. Data Anal. 17 (6) (2013)
Hans Lobel, René Vidal, Alvaro Soto
Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition. ICCV (2013)
Hans Lobel, René Vidal, Domingo Mery, Alvaro Soto
Joint Dictionary and Classifier Learning for Categorization of Images Using a Max-margin Framework. PSIVT (2013)
Pablo Espinace, Thomas Kollar, Nicholas Roy, Alvaro Soto
Indoor scene recognition by a mobile robot through adaptive object detection. Robotics Auton. Syst. 61 (9) (2013)
Billy Peralta, Pablo Espinace, Alvaro Soto
Adaptive hierarchical contexts for object recognition with conditional mixture of trees. BMVC (2012)
Tomas Puelma, Rodrigo A. Gutiérrez, Alvaro Soto
Discriminative local subspaces in gene expression data for effective gene function prediction. Bioinform. 28 (17) (2012)
Luis Alberto Caro, Javier Correa, Pablo Espinace, Daniel Langdon, Daniel Maturana, Rubén Mitnik, Sebastian Montabone, Stefan Pszczólkowski, Anita Araneda, Domingo Mery, Miguel Torres, Alvaro Soto
Indoor Mobile Robotics at Grima, PUC. J. Intell. Robotic Syst. 66 (1-2) (2012)
Billy Peralta, Alvaro Soto
Mixing Hierarchical Contexts for Object Recognition. CIARP (2011)
Daniel Maturana, Domingo Mery, Alvaro Soto
Learning discriminative local binary patterns for face recognition. FG (2011)
Karim Pichara, Alvaro Soto
Active learning and subspace clustering for anomaly detection. Intell. Data Anal. 15 (2) (2011)
Javier Correa, Alvaro Soto
Active Visual Perception for Mobile Robot Localization. J. Intell. Robotic Syst. 58 (3-4) (2010)
Daniel Maturana, Domingo Mery, Alvaro Soto
Face Recognition with Decision Tree-Based Local Binary Patterns. ACCV (4) (2010)
Sebastian Montabone, Alvaro Soto
Human detection using a mobile platform and novel features derived from a visual saliency mechanism. Image Vis. Comput. 28 (3) (2010)
Pablo Espinace, Thomas Kollar, Alvaro Soto, Nicholas Roy
Indoor scene recognition through object detection. ICRA (2010)
Daniel Maturana, Domingo Mery, Alvaro Soto
Face Recognition with Local Binary Patterns, Spatial Pyramid Histograms and Naive Bayes Nearest Neighbor Classification. SCCC (2009)
Pedro Cortez Cargill, Cristobal Undurraga Rius, Domingo Mery, Alvaro Soto
Performance Evaluation of the Covariance Descriptor for Target Detection. SCCC (2009)
Rubén Mitnik, Matías Recabarren, Miguel Nussbaum, Alvaro Soto
Collaborative robotic instruction: A graph teaching experience. Comput. Educ. 53 (2) (2009)
Antonio Cansado, Alvaro Soto
Unsupervised Anomaly Detection in Large Databases Using Bayesian Networks. Appl. Artif. Intell. 22 (4) (2008)
Pablo Espinace, Daniel Langdon, Alvaro Soto
Unsupervised identification of useful visual landmarks using multiple segmentations and top-down feedback. Robotics Auton. Syst. 56 (6) (2008)
Karim Pichara, Alvaro Soto, Anita Araneda
Detection of Anomalies in Large Datasets Using an Active Learning Scheme Based on Dirichlet Distributions. IBERAMIA (2008)
Rubén Mitnik, Miguel Nussbaum, Alvaro Soto
An autonomous educational mobile robot mediator. Auton. Robots 25 (4) (2008)
Alvaro Soto, Felipe Zavala, Anita Araneda
An Accelerated Algorithm for Density Estimation in Large Databases Using Gaussian Mixtures. Cybern. Syst. 38 (2) (2007)
Stefan Pszczólkowski, Alvaro Soto
Human Detection in Indoor Environments Using Multiple Visual Cues and a Mobile Robot. CIARP (2007)
Daniel Langdon, Alvaro Soto, Domingo Mery
Automatic Selection and Detection of Visual Landmarks Using Multiple Segmentations. PSIVT (2006)
Alvaro Soto
Self Adaptive Particle Filter. IJCAI (2005)
Rubén Mitnik, Miguel Nussbaum, Alvaro Soto
Mobile Robotic Supported Collaborative Learning (MRSCL). IBERAMIA (2004)
Anita Araneda, Alvaro Soto
Statistical Inference in Mapping and Localization for Mobile Robots. IBERAMIA (2004)
Alvaro Soto, Pradeep K. Khosla
A Probabilistic Approach for Dynamic State Estimation Using Visual Information. KI (2003)
Alvaro Soto
A Method to Adaptively Propagate the Set of Samples Used by Particle Filters. CAEPIA (2003)
Alvaro Soto, Pradeep K. Khosla
Adaptive Agent Based System for State Estimation Using Dynamic Multidimensional Information Sources. IWSAS (2001)
Alvaro Soto, Pradeep K. Khosla
Probabilistic Adaptive Agent Based System for Dynamic State Estimation using Multiple Visual Cues. ISRR (2001)