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ORCIDLucas Pascotti Valem
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2020 – today
- 2024
[j18]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: 100657 (2024)- [j17]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: 127717 (2024) - [j16]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: 17-25 (2024) - 2023
- [j15]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): 34:1-34:34 (2023) - [j14]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: 103618 (2023) - [j13]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): 118995 (2023) - [j12]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: 2811-2826 (2023) - [c19]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: 75-82 - [c18]Lucas Pascotti Valem, Vanessa Helena Pereira-Ferrero, Daniel Carlos Guimarães Pedronette:
Self-Supervised Regression for Query Performance Prediction on Image Retrieval. AIKE 2023: 95-98 - [c17]Gustavo Leticio, Lucas Pascotti Valem, Leonardo Tadeu Lopes, Daniel Carlos Guimarães Pedronette:
pyUDLF: A Python Framework for Unsupervised Distance Learning Tasks. ACM Multimedia 2023: 9680-9684 - [i4]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki:
Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning. CoRR abs/2304.12448 (2023) - [i3]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki:
Graph Convolutional Networks based on Manifold Learning for Semi-Supervised Image Classification. CoRR abs/2304.12492 (2023) - [i2]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
Person Re-ID through Unsupervised Hypergraph Rank Selection and Fusion. CoRR abs/2304.14321 (2023) - 2022
- [j11]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): 100078 (2022) - [j10]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
Person Re-ID through unsupervised hypergraph rank selection and fusion. Image Vis. Comput. 123: 104473 (2022) - [j9]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: 103666 (2022) - [c16]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: 1371-1375 - [c15]Lucas Barbosa de Almeida, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
Graph Convolutional Networks and Manifold Ranking for Multimodal Video Retrieval. ICIP 2022: 2811-2815 - [i1]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 Silva Santana, Mateus Roder, João Paulo Papa, Danilo Colombo:
Gait Recognition Based on Deep Learning: A Survey. CoRR abs/2201.03323 (2022) - 2021
- [j8]Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, Longin Jan Latecki:
Efficient Rank-Based Diffusion Process with Assured Convergence. J. Imaging 7(3): 49 (2021) - [j7]Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, Ricardo da Silva Torres:
A BFS-Tree of ranking references for unsupervised manifold learning. Pattern Recognit. 111: 107666 (2021) - [c14]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
A Denoising Convolutional Neural Network for Self-Supervised Rank Effectiveness Estimation on Image Retrieval. ICMR 2021: 294-302 - [c13]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: 417-424 - [c12]Nikolas Gomes de Sá, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
A Multi-level Rank Correlation Measure for Image Retrieval. VISIGRAPP (5: VISAPP) 2021: 370-378 - 2020
- [j6]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) - [j5]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
Unsupervised selective rank fusion for image retrieval tasks. Neurocomputing 377: 182-199 (2020) - [j4]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
Graph-based selective rank fusion for unsupervised image retrieval. Pattern Recognit. Lett. 135: 82-89 (2020) - [c11]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: 5752-5759 - [c10]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: 142-152 - [c9]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: 404-412
2010 – 2019
- 2019
- [j3]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): 5824-5838 (2019) - [c8]João Gabriel Camacho Presotto, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
Unsupervised Effectiveness Estimation Through Intersection of Ranking References. CAIP (2) 2019: 231-244 - [c7]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
An Unsupervised Genetic Algorithm Framework for Rank Selection and Fusion on Image Retrieval. ICMR 2019: 58-62 - 2018
- [j2]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Jurandy Almeida:
Unsupervised similarity learning through Cartesian product of ranking references. Pattern Recognit. Lett. 114: 41-52 (2018) - [j1]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): 80:1-80:23 (2018) - [c6]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Fabricio Aparecido Breve, Ivan Rizzo Guilherme:
Manifold Correlation Graph for Semi-Supervised Learning. IJCNN 2018: 1-7 - 2017
- [c5]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
Selection and Combination of Unsupervised Learning Methods for Image Retrieval. CBMI 2017: 27:1-27:6 - [c4]Jurandy Almeida, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
A Rank Aggregation Framework for Video Interestingness Prediction. ICIAP (1) 2017: 3-14 - [c3]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
An Unsupervised Distance Learning Framework for Multimedia Retrieval. ICMR 2017: 107-111 - 2016
- [c2]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
Unsupervised Similarity Learning through Cartesian Product of Ranking References for Image Retrieval Tasks. SIBGRAPI 2016: 249-256 - 2015
- [c1]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: 51-58
Coauthor Index
aka: Daniel Carlos Guimarães Pedronette
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