22 citations · 66 across the 6 of their papers we have counts for
6 papers
Person Re-ID through Unsupervised Hypergraph Rank Selection and Fusion
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
Person Re-ID has been gaining a lot of attention and nowadays is of fundamental importance in many camera surveillance applications. The task consists of identifying individuals ac…
Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki
Impressive advances in acquisition and sharing technologies have made the growth of multimedia collections and their applications almost unlimited. However, the opposite is true fo…
Mixup-based Deep Metric Learning Approaches for Incomplete Supervision
Luiz H. Buris, Daniel C. G. Pedronette, Joao P. Papa +3
Deep learning architectures have achieved promising results in different areas (e.g., medicine, agriculture, and security). However, using those powerful techniques in many real ap…
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization
Guilherme C. Oliveira, Gustavo H. Rosa, Daniel C. G. Pedronette +4
Deep learning applications for assessing medical images are limited because the datasets are often small and imbalanced. The use of synthetic data has been proposed in the literatu…
Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers
Lucas Fernando Alvarenga e Silva, Daniel Carlos Guimarães Pedronette, Fábio Augusto Faria +2
Deep learning (DL) has been the primary approach used in various computer vision tasks due to its relevant results achieved on many tasks. However, on real-world scenarios with par…
Unsupervised Graph-based Rank Aggregation for Improved Retrieval
Icaro Cavalcante Dourado, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
This paper presents a robust and comprehensive graph-based rank aggregation approach, used to combine results of isolated ranker models in retrieval tasks. The method follows an un…