Alvaro Soto

Orcid: 0000-0001-9378-397X

According to our database1, Alvaro Soto authored at least 89 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
APEX: affordance-based plan executor for indoor robotic navigation.
Adv. Robotics, July, 2024

Eigenpruning.
CoRR, 2024

iHealth-Chile-3&2 at RRG24: Template Based Report Generation.
Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Learning Sentence-Level Representations with Predictive Coding.
Mach. Learn. Knowl. Extr., March, 2023

Behind the Magic, MERLIM: Multi-modal Evaluation Benchmark for Large Image-Language Models.
CoRR, 2023

Studying Generalization on Memory-Based Methods in Continual Learning.
CoRR, 2023

Memory Population in Continual Learning via Outlier Elimination.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PIVOT: Prompting for Video Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images.
ACM Comput. Surv., January, 2022

Bridging the visual gap in VLN via semantically richer instructions.
CoRR, 2022

A Study on the Predictability of Sample Learning Consistency.
CoRR, 2022

Evaluation Benchmarks for Spanish Sentence Representations.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

How Relevant is Selective Memory Population in Lifelong Language Learning?
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Bridging the Visual Semantic Gap in VLN via Semantically Richer Instructions.
Proceedings of the Computer Vision - ECCV 2022, 2022

Entropy-based Stability-Plasticity for Lifelong Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
DACT-BERT: Differentiable Adaptive Computation Time for an Efficient BERT Inference.
CoRR, 2021

DeepSocNav: Social Navigation by Imitating Human Behaviors.
CoRR, 2021

Overcoming Catastrophic Forgetting Using Sparse Coding and Meta Learning.
IEEE Access, 2021

Optimizing Reusable Knowledge for Continual Learning via Metalearning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Inspecting the concept knowledge graph encoded by modern language models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Automatic document screening of medical literature using word and text embeddings in an active learning setting.
Scientometrics, 2020

Explaining VQA predictions using visual grounding and a knowledge base.
Image Vis. Comput., 2020

GENE: Graph generation conditioned on named entities for polarity and controversy detection in social media.
Inf. Process. Manag., 2020

CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition.
Comput. Vis. Image Underst., 2020

A Survey on Deep Learning and Explainability for Automatic Image-based Medical Report Generation.
CoRR, 2020

Translating Natural Language Instructions for Behavioral Robot Navigation with a Multi-Head Attention Mechanism.
CoRR, 2020

Differentiable Adaptive Computation Time for Visual Reasoning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features.
User Model. User Adapt. Interact., 2019

Mixture of Experts with Entropic Regularization for Data Classification.
Entropy, 2019

Interpretable Visual Question Answering by Visual Grounding From Attention Supervision Mining.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

A Behavioral Approach to Visual Navigation with Graph Localization Networks.
Proceedings of the Robotics: Science and Systems XV, 2019

2018
A Deep Learning Based Behavioral Approach to Indoor Autonomous Navigation.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Behavioral Indoor Navigation With Natural Language Directions.
Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

End-to-End Joint Semantic Segmentation of Actors and Actions in Video.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
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., 2017

Sparse composition of body poses and atomic actions for human activity recognition in RGB-D videos.
Image Vis. Comput., 2017

Exploring Content-based Artwork Recommendation with Metadata and Visual Features.
CoRR, 2017

GENIUS: web server to predict local gene networks and key genes for biological functions.
Bioinform., 2017

Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation.
Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, 2017

How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Unsupervised Local Regressive Attributes for Pedestrian Re-identification.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2016
A proposal for supervised clustering with Dirichlet Process using labels.
Pattern Recognit. Lett., 2016

A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Action Recognition in Video Using Sparse Coding and Relative Features.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Learning Shared, Discriminative, and Compact Representations for Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Visual Recognition to Access and Analyze People Density and Flow Patterns in Indoor Environments.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Towards Improving Top-N Recommendation by Generalization of SLIM.
Proceedings of the Poster Proceedings of the 9th ACM Conference on Recommender Systems, 2015

2014
Embedded local feature selection within mixture of experts.
Inf. Sci., 2014

Local feature selection using Gaussian process regression.
Intell. Data Anal., 2014

Discriminative Hierarchical Modeling of Spatio-temporally Composable Human Activities.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Multi-target Tracking with Sparse Group Features and Position Using Discrete-Continuous Optimization.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2013
Indoor scene recognition by a mobile robot through adaptive object detection.
Robotics Auton. Syst., 2013

Enhancing K-Means using class labels.
Intell. Data Anal., 2013

Joint Dictionary and Classifier Learning for Categorization of Images Using a Max-margin Framework.
Proceedings of the Image and Video Technology - 6th Pacific-Rim Symposium, 2013

Human Action Recognition from Inter-temporal Dictionaries of Key-Sequences.
Proceedings of the Image and Video Technology - 6th Pacific-Rim Symposium, 2013

Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Indoor Mobile Robotics at Grima, PUC.
J. Intell. Robotic Syst., 2012

Discriminative local subspaces in gene expression data for effective gene function prediction.
Bioinform., 2012

Adaptive hierarchical contexts for object recognition with conditional mixture of trees.
Proceedings of the British Machine Vision Conference, 2012

2011
Active learning and subspace clustering for anomaly detection.
Intell. Data Anal., 2011

Learning discriminative local binary patterns for face recognition.
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

Mixing Hierarchical Contexts for Object Recognition.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

2010
Active Visual Perception for Mobile Robot Localization.
J. Intell. Robotic Syst., 2010

Human detection using a mobile platform and novel features derived from a visual saliency mechanism.
Image Vis. Comput., 2010

Indoor scene recognition through object detection.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Face Recognition with Decision Tree-Based Local Binary Patterns.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
Collaborative robotic instruction: A graph teaching experience.
Comput. Educ., 2009

Face Recognition with Local Binary Patterns, Spatial Pyramid Histograms and Naive Bayes Nearest Neighbor Classification.
Proceedings of the 2009 International Conference of the Chilean Computer Science Society, 2009

Performance Evaluation of the Covariance Descriptor for Target Detection.
Proceedings of the 2009 International Conference of the Chilean Computer Science Society, 2009

2008
Unsupervised identification of useful visual landmarks using multiple segmentations and top-down feedback.
Robotics Auton. Syst., 2008

An autonomous educational mobile robot mediator.
Auton. Robots, 2008

Unsupervised Anomaly Detection in Large Databases Using Bayesian Networks.
Appl. Artif. Intell., 2008

Detection of Anomalies in Large Datasets Using an Active Learning Scheme Based on Dirichlet Distributions.
Proceedings of the Advances in Artificial Intelligence, 2008

Improving the selection and detection of visual landmarks through object tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007
An Accelerated Algorithm for Density Estimation in Large Databases Using Gaussian Mixtures.
Cybern. Syst., 2007

Human Detection in Indoor Environments Using Multiple Visual Cues and a Mobile Robot.
Proceedings of the Progress in Pattern Recognition, 2007

2006
Automatic Selection and Detection of Visual Landmarks Using Multiple Segmentations.
Proceedings of the Advances in Image and Video Technology, First Pacific Rim Symposium, 2006

2005
Self Adaptive Particle Filter.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

2004
Mobile Robotic Supported Collaborative Learning (MRSCL).
Proceedings of the Advances in Artificial Intelligence, 2004

Statistical Inference in Mapping and Localization for Mobile Robots.
Proceedings of the Advances in Artificial Intelligence, 2004

2003
A Probabilistic Approach for Dynamic State Estimation Using Visual Information.
Proceedings of the KI 2003: Advances in Artificial Intelligence, 2003

A Method to Adaptively Propagate the Set of Samples Used by Particle Filters.
Proceedings of the Current Topics in Artificial Intelligence, 2003

2001
Adaptive Agent Based System for State Estimation Using Dynamic Multidimensional Information Sources.
Proceedings of the Self-Adaptive Software, Second International Workshop, 2001

Probabilistic Adaptive Agent Based System for Dynamic State Estimation using Multiple Visual Cues.
Proceedings of the Robotics Research, The Tenth International Symposium, 2001


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