Lucas Pascotti Valem

Orcid: 0000-0002-3833-9072

According to our database1, Lucas Pascotti Valem authored at least 34 papers between 2015 and 2023.

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

Timeline

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Bibliography

2023
Graph Convolutional Networks based on manifold learning for semi-supervised image classification.
Comput. Vis. Image Underst., January, 2023

Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning.
IEEE Trans. Image Process., 2023

Feature augmentation based on manifold ranking and LSTM for image classification.
Expert Syst. Appl., 2023

Gait Recognition Based on Deep Learning: A Survey.
ACM Comput. Surv., 2023

pyUDLF: A Python Framework for Unsupervised Distance Learning Tasks.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Self-Supervised Regression for Query Performance Prediction on Image Retrieval.
Proceedings of the Sixth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2023

Feature Fusion and Augmentation based on Manifold Ranking for Image Classification.
Proceedings of the Sixth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2023

2022
Weakly supervised learning based on hypergraph manifold ranking.
J. Vis. Commun. Image Represent., 2022

Person Re-ID through unsupervised hypergraph rank selection and fusion.
Image Vis. Comput., 2022

RaDE+: A semantic rank-based graph embedding algorithm.
Int. J. Inf. Manag. Data Insights, 2022

A Novel Rank Correlation Measure for Manifold Learning on Image Retrieval and Person Re-ID.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Graph Convolutional Networks and Manifold Ranking for Multimodal Video Retrieval.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
A BFS-Tree of ranking references for unsupervised manifold learning.
Pattern Recognit., 2021

Efficient Rank-Based Diffusion Process with Assured Convergence.
J. Imaging, 2021

A Multi-level Rank Correlation Measure for Image Retrieval.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Representation Learning for Image Retrieval through 3D CNN and Manifold Ranking.
Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021

A Denoising Convolutional Neural Network for Self-Supervised Rank Effectiveness Estimation on Image Retrieval.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

2020
Graph-based selective rank fusion for unsupervised image retrieval.
Pattern Recognit. Lett., 2020

Unsupervised selective rank fusion for image retrieval tasks.
Neurocomputing, 2020

A unified model for accelerating unsupervised iterative re-ranking algorithms.
Concurr. Comput. Pract. Exp., 2020

Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance Videos.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

RaDE: A Rank-based Graph Embedding Approach.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Weakly Supervised Learning through Rank-based Contextual Measures.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking.
IEEE Trans. Image Process., 2019

An Unsupervised Genetic Algorithm Framework for Rank Selection and Fusion on Image Retrieval.
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

Unsupervised Effectiveness Estimation Through Intersection of Ranking References.
Proceedings of the Computer Analysis of Images and Patterns, 2019

2018
Unsupervised Similarity Learning through Rank Correlation and kNN Sets.
ACM Trans. Multim. Comput. Commun. Appl., 2018

Unsupervised similarity learning through Cartesian product of ranking references.
Pattern Recognit. Lett., 2018

Manifold Correlation Graph for Semi-Supervised Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
An Unsupervised Distance Learning Framework for Multimedia Retrieval.
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

A Rank Aggregation Framework for Video Interestingness Prediction.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Selection and Combination of Unsupervised Learning Methods for Image Retrieval.
Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing, 2017

2016
Unsupervised Similarity Learning through Cartesian Product of Ranking References for Image Retrieval Tasks.
Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016

2015
Effective, Efficient, and Scalable Unsupervised Distance Learning in Image Retrieval Tasks.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015


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