Lucas Pascotti Valem
Lucas Pascotti Valem
Computer Science, UNESP
Verified email at unesp.br - Homepage
Title
Cited by
Cited by
Year
Multimedia retrieval through unsupervised hypergraph-based manifold ranking
DCG Pedronette, LP Valem, J Almeida, RS Torres
IEEE Transactions on Image Processing 28 (12), 5824-5838, 2019
182019
Effective, efficient, and scalable unsupervised distance learning in image retrieval tasks
LP Valem, DCG Pedronette, RS Torres, E Borin, J Almeida
Proceedings of the 5th ACM on International Conference on Multimedia …, 2015
142015
Unsupervised similarity learning through cartesian product of ranking references for image retrieval tasks
LP Valem, DCG Pedronette
2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2016
102016
Unsupervised selective rank fusion for image retrieval tasks
LP Valem, DCG Pedronette
Neurocomputing 377, 182-199, 2020
92020
Unsupervised similarity learning through Cartesian product of ranking references
LP Valem, DCG Pedronette, J Almeida
Pattern Recognition Letters 114, 41-52, 2018
82018
Selection and combination of unsupervised learning methods for image retrieval
LP Valem, DCG Pedronette
Proceedings of the 15th International Workshop on Content-Based Multimedia …, 2017
72017
An unsupervised distance learning framework for multimedia retrieval
LP Valem, DCG Pedronette
Proceedings of the 2017 ACM on International Conference on Multimedia …, 2017
72017
Unsupervised similarity learning through rank correlation and knn sets
LP Valem, CRD Oliveira, DCG Pedronette, J Almeida
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2018
62018
A rank aggregation framework for video interestingness prediction
J Almeida, LP Valem, DCG Pedronette
International conference on image analysis and processing, 3-14, 2017
62017
An unsupervised genetic algorithm framework for rank selection and fusion on image retrieval
LP Valem, DCG Pedronette
Proceedings of the 2019 on International Conference on Multimedia Retrieval …, 2019
52019
Graph-based selective rank fusion for unsupervised image retrieval
LP Valem, DCG Pedronette
Pattern Recognition Letters 135, 82-89, 2020
42020
A BFS-Tree of ranking references for unsupervised manifold learning
DCG Pedronette, LP Valem, RS Torres
Pattern Recognition 111, 107666, 2021
22021
Manifold correlation graph for semi-supervised learning
LP Valem, DCG Pedronette, F Breve, IR Guilherme
2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018
22018
Weakly Supervised Learning through Rank-based Contextual Measures
JGC Presotto, LP Valem, NG de Sá, DCG Pedronette, JP Papa
2020 25th International Conference on Pattern Recognition (ICPR), 5752-5759, 2021
12021
RaDE: A Rank-based Graph Embedding Approach.
FA de Fernando, DCG Pedronette, GJ de Sousa, LP Valem, IR Guilherme
VISIGRAPP (5: VISAPP), 142-152, 2020
12020
Combinação seletiva não supervisionada de listas ranqueadas aplicada à busca de imagens pelo conteúdo
LP Valem
Universidade Estadual Paulista (UNESP), 2019
12019
A Denoising Convolutional Neural Network for Self-Supervised Rank Effectiveness Estimation on Image Retrieval
LP Valem, DCG Pedronette
2021
A Multi-level Rank Correlation Measure for Image Retrieval.
NG de Sá, LP Valem, DCG Pedronette
VISIGRAPP (5: VISAPP), 370-378, 2021
2021
VISIGRAPP 2020-PROCEEDINGS OF THE 15TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS
A Martinazzo, M Espadoto, NST Hirata, G Olmschenk, Z Zhu, H Tang, ...
2020
Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance Videos.
LT Lopes, LP Valem, DCG Pedronette, IR Guilherme, JP Papa, ...
VISIGRAPP (5: VISAPP), 404-412, 2020
2020
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