Gait recognition based on deep learning: a survey C Filipi Gonçalves dos Santos, DS Oliveira, L A. Passos, ... ACM Computing Surveys (CSUR) 55 (2), 1-34, 2022 | 67* | 2022 |
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 | 52 | 2019 |
Unsupervised selective rank fusion for image retrieval tasks LP Valem, DCG Pedronette Neurocomputing 377, 182-199, 2020 | 24 | 2020 |
An unsupervised distance learning framework for multimedia retrieval LP Valem, DCG Pedronette Proceedings of the 2017 ACM on International Conference on Multimedia …, 2017 | 24 | 2017 |
A bfs-tree of ranking references for unsupervised manifold learning DCG Pedronette, LP Valem, RS Torres Pattern Recognition 111, 107666, 2021 | 23 | 2021 |
Unsupervised similarity learning through Cartesian product of ranking references LP Valem, DCG Pedronette, J Almeida Pattern Recognition Letters 114, 41-52, 2018 | 20 | 2018 |
Graph-based selective rank fusion for unsupervised image retrieval LP Valem, DCG Pedronette Pattern Recognition Letters 135, 82-89, 2020 | 19 | 2020 |
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 | 19 | 2015 |
Feature augmentation based on manifold ranking and LSTM for image classification VH Pereira-Ferrero, LP Valem, DCG Pedronette Expert Systems with Applications 213, 118995, 2023 | 16 | 2023 |
Graph Convolutional Networks based on manifold learning for semi-supervised image classification LP Valem, DCG Pedronette, LJ Latecki Computer Vision and Image Understanding 227, 103618, 2023 | 15 | 2023 |
Efficient rank-based diffusion process with assured convergence DC Guimaraes Pedronette, L Pascotti Valem, LJ Latecki Journal of Imaging 7 (3), 49, 2021 | 15 | 2021 |
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 | 15 | 2018 |
Rank flow embedding for unsupervised and semi-supervised manifold learning LP Valem, DCG Pedronette, LJ Latecki IEEE Transactions on Image Processing 32, 2811-2826, 2023 | 12 | 2023 |
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 | 10 | 2019 |
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 | 10 | 2016 |
A denoising convolutional neural network for self-supervised rank effectiveness estimation on image retrieval LP Valem, DCG Pedronette Proceedings of the 2021 International Conference on Multimedia Retrieval …, 2021 | 9 | 2021 |
A rank aggregation framework for video interestingness prediction J Almeida, LP Valem, DCG Pedronette International conference on image analysis and processing, 3-14, 2017 | 8 | 2017 |
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 | 7 | 2021 |
Person Re-ID through unsupervised hypergraph rank selection and fusion LP Valem, DCG Pedronette Image and Vision Computing 123, 104473, 2022 | 6 | 2022 |
Manifold information through neighbor embedding projection for image retrieval GR Leticio, VS Kawai, LP Valem, DCG Pedronette, RS Torres Pattern Recognition Letters 183, 17-25, 2024 | 5 | 2024 |