Lucas Pascotti Valem

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 40

Top Topics

Cartesian Product

Manifold Ranking

Supervised Learning

Rank Correlation

Top Venues

Pattern Recognit. Lett.

VISIGRAPP (5: VISAPP)

Publications

João Gabriel Camacho Presotto, Lucas Pascotti Valem, Nikolas Gomes de Sá, Daniel Carlos Guimarães Pedronette, João Paulo Papa
Weakly supervised classification through manifold learning and rank-based contextual measures. Neurocomputing 589 (2024)
Gustavo Rosseto Leticio, Vinicius Atsushi Sato Kawai, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Manifold information through neighbor embedding projection for image retrieval. Pattern Recognit. Lett. 183 (2024)
Vanessa Helena Pereira-Ferrero, T. G. Lewis, Lucas Pascotti Valem, L. G. P. Ferrero, Daniel C. G. Pedronette, Longin Jan Latecki
Unsupervised affinity learning based on manifold analysis for image retrieval: A survey. Comput. Sci. Rev. 53 (2024)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki
Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning. IEEE Trans. Image Process. 32 (2023)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki
Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning. CoRR (2023)
Lucas Pascotti Valem, Vanessa Helena Pereira-Ferrero, Daniel Carlos Guimarães Pedronette
Self-Supervised Regression for Query Performance Prediction on Image Retrieval. AIKE (2023)
Claudio Filipi Gonçalves dos Santos, Diego de Souza Oliveira, Leandro A. Passos, Rafael Gonçalves Pires, Daniel Felipe Silva Santos, Lucas Pascotti Valem, Thierry Pinheiro Moreira, Marcos Cleison S. Santana, Mateus Roder, João Paulo Papa, Danilo Colombo
Gait Recognition Based on Deep Learning: A Survey. ACM Comput. Surv. 55 (2) (2023)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki
Graph Convolutional Networks based on Manifold Learning for Semi-Supervised Image Classification. CoRR (2023)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
Person Re-ID through Unsupervised Hypergraph Rank Selection and Fusion. CoRR (2023)
Vanessa Helena Pereira-Ferrero, Lucas Pascotti Valem, Gustavo Rosseto Leticio, Daniel Carlos Guimarães Pedronette
Feature Fusion and Augmentation based on Manifold Ranking for Image Classification. AIKE (2023)
Vanessa Helena Pereira-Ferrero, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
Feature augmentation based on manifold ranking and LSTM for image classification. Expert Syst. Appl. 213 (Part) (2023)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki
Graph Convolutional Networks based on manifold learning for semi-supervised image classification. Comput. Vis. Image Underst. 227 (2023)
Gustavo Leticio, Lucas Pascotti Valem, Leonardo Tadeu Lopes, Daniel Carlos Guimarães Pedronette
pyUDLF: A Python Framework for Unsupervised Distance Learning Tasks. ACM Multimedia (2023)
Lucas Barbosa de Almeida, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
Graph Convolutional Networks and Manifold Ranking for Multimodal Video Retrieval. ICIP (2022)
Claudio Filipi Gonçalves dos Santos, Diego de Souza Oliveira, Leandro A. Passos, Rafael Gonçalves Pires, Daniel Felipe Silva Santos, Lucas Pascotti Valem, Thierry Pinheiro Moreira, Marcos C. S. Cleison S. Santana, Mateus Roder, João Paulo Papa, Danilo Colombo
Gait Recognition Based on Deep Learning: A Survey. CoRR (2022)
Filipe Alves de Fernando, Daniel Carlos Guimarães Pedronette, Gustavo José de Sousa, Lucas Pascotti Valem, Ivan Rizzo Guilherme
RaDE+: A semantic rank-based graph embedding algorithm. Int. J. Inf. Manag. Data Insights 2 (1) (2022)
Lucas Pascotti Valem, Vinicius Atsushi Sato Kawai, Vanessa Helena Pereira-Ferrero, Daniel Carlos Guimarães Pedronette
A Novel Rank Correlation Measure for Manifold Learning on Image Retrieval and Person Re-ID. ICIP (2022)
João Gabriel Camacho Presotto, Samuel Felipe dos Santos, Lucas Pascotti Valem, Fábio Augusto Faria, João Paulo Papa, Jurandy Almeida, Daniel Carlos Guimarães Pedronette
Weakly supervised learning based on hypergraph manifold ranking. J. Vis. Commun. Image Represent. 89 (2022)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
Person Re-ID through unsupervised hypergraph rank selection and fusion. Image Vis. Comput. 123 (2022)
Lucas Barbosa de Almeida, Vanessa Helena Pereira-Ferrero, Lucas Pascotti Valem, Jurandy Almeida, Daniel Carlos Guimarães Pedronette
Representation Learning for Image Retrieval through 3D CNN and Manifold Ranking. SIBGRAPI (2021)
Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, Ricardo da Silva Torres
A BFS-Tree of ranking references for unsupervised manifold learning. Pattern Recognit. 111 (2021)
Nikolas Gomes de Sá, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
A Multi-level Rank Correlation Measure for Image Retrieval. VISIGRAPP (5: VISAPP) (2021)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
A Denoising Convolutional Neural Network for Self-Supervised Rank Effectiveness Estimation on Image Retrieval. ICMR (2021)
Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, Longin Jan Latecki
Efficient Rank-Based Diffusion Process with Assured Convergence. J. Imaging 7 (3) (2021)
João Gabriel Camacho Presotto, Lucas Pascotti Valem, Nikolas Gomes de Sá, Daniel Carlos Guimarães Pedronette, João Paulo Papa
Weakly Supervised Learning through Rank-based Contextual Measures. ICPR (2020)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
Graph-based selective rank fusion for unsupervised image retrieval. Pattern Recognit. Lett. 135 (2020)
Flávia Pisani, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin, Maurício Breternitz Jr.
A unified model for accelerating unsupervised iterative re-ranking algorithms. Concurr. Comput. Pract. Exp. 32 (14) (2020)
Leonardo Tadeu Lopes, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme, João Paulo Papa, Marcos Cleison Silva Santana, Danilo Colombo
Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance Videos. VISIGRAPP (5: VISAPP) (2020)
Filipe Alves de Fernando, Daniel Carlos Guimarães Pedronette, Gustavo José de Sousa, Lucas Pascotti Valem, Ivan Rizzo Guilherme
RaDE: A Rank-based Graph Embedding Approach. VISIGRAPP (5: VISAPP) (2020)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
Unsupervised selective rank fusion for image retrieval tasks. Neurocomputing 377 (2020)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
An Unsupervised Genetic Algorithm Framework for Rank Selection and Fusion on Image Retrieval. ICMR (2019)
Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, Jurandy Almeida, Ricardo da Silva Torres
Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking. IEEE Trans. Image Process. 28 (12) (2019)
João Gabriel Camacho Presotto, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
Unsupervised Effectiveness Estimation Through Intersection of Ranking References. CAIP (2) (2019)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Jurandy Almeida
Unsupervised similarity learning through Cartesian product of ranking references. Pattern Recognit. Lett. 114 (2018)
Lucas Pascotti Valem, Carlos Renan De Oliveira, Daniel Carlos Guimarães Pedronette, Jurandy Almeida
Unsupervised Similarity Learning through Rank Correlation and kNN Sets. ACM Trans. Multim. Comput. Commun. Appl. 14 (4) (2018)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Fabricio Aparecido Breve, Ivan Rizzo Guilherme
Manifold Correlation Graph for Semi-Supervised Learning. IJCNN (2018)
Jurandy Almeida, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
A Rank Aggregation Framework for Video Interestingness Prediction. ICIAP (1) (2017)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
An Unsupervised Distance Learning Framework for Multimedia Retrieval. ICMR (2017)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
Selection and Combination of Unsupervised Learning Methods for Image Retrieval. CBMI (2017)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
Unsupervised Similarity Learning through Cartesian Product of Ranking References for Image Retrieval Tasks. SIBGRAPI (2016)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin, Jurandy Almeida
Effective, Efficient, and Scalable Unsupervised Distance Learning in Image Retrieval Tasks. ICMR (2015)