Lucas Pascotti Valem

About Lucas Pascotti Valem

Lucas Pascotti Valem, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Universidade Estadual Paulista, specializes in the field of Content-Based Image Retrieval, Image Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Manifold information through neighbor embedding projection for image retrieval

Weakly supervised classification through manifold learning and rank-based contextual measures

Rank-based Hashing for Effective and Efficient Nearest Neighbor Search for Image Retrieval

pyUDLF: A Python Framework for Unsupervised Distance Learning Tasks

Self-Supervised Regression for Query Performance Prediction on Image Retrieval

Feature Fusion and Augmentation based on Manifold Ranking for Image Classification

Rank flow embedding for unsupervised and semi-supervised manifold learning

Person Re-ID through Unsupervised Hypergraph Rank Selection and Fusion

Lucas Pascotti Valem Information

University

Position

Computer Science

Citations(all)

248

Citations(since 2020)

226

Cited By

83

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Lucas Pascotti Valem Skills & Research Interests

Content-Based Image Retrieval

Image Processing

Top articles of Lucas Pascotti Valem

Manifold information through neighbor embedding projection for image retrieval

Pattern Recognition Letters

2024/4/26

Lucas Pascotti Valem
Lucas Pascotti Valem

H-Index: 6

Weakly supervised classification through manifold learning and rank-based contextual measures

Neurocomputing

2024/4/19

Rank-based Hashing for Effective and Efficient Nearest Neighbor Search for Image Retrieval

ACM Transactions on Multimedia Computing, Communications and Applications

2024

pyUDLF: A Python Framework for Unsupervised Distance Learning Tasks

2023/10/26

Self-Supervised Regression for Query Performance Prediction on Image Retrieval

2023/9/25

Feature Fusion and Augmentation based on Manifold Ranking for Image Classification

2023/9/25

Rank flow embedding for unsupervised and semi-supervised manifold learning

IEEE Transactions on Image Processing

2023/5/12

Person Re-ID through Unsupervised Hypergraph Rank Selection and Fusion

arXiv e-prints

2023/4

Graph Convolutional Networks based on Manifold Learning for Semi-Supervised Image Classification

arXiv e-prints

2023/4

Feature augmentation based on manifold ranking and LSTM for image classification

Expert Systems with Applications

2023/3/1

Weakly supervised learning based on hypergraph manifold ranking

Journal of Visual Communication and Image Representation

2022/11/1

A Novel Rank Correlation Measure for Manifold Learning on Image Retrieval and Person Re-ID

2022/10/16

Graph Convolutional Networks and Manifold Ranking for Multimodal Video Retrieval

2022/10/16

RaDE+: A semantic rank-based graph embedding algorithm

International Journal of Information Management Data Insights

2022/4/1

Gait recognition based on deep learning: a survey

2022/1/18

Lucas Pascotti Valem
Lucas Pascotti Valem

H-Index: 6

Mateus Roder
Mateus Roder

H-Index: 1

Representation Learning for Image Retrieval through 3D CNN and Manifold Ranking

2021/10/18

A denoising convolutional neural network for self-supervised rank effectiveness estimation on image retrieval

2021/8/24

Efficient rank-based diffusion process with assured convergence

Journal of Imaging

2021/3/8

Lucas Pascotti Valem
Lucas Pascotti Valem

H-Index: 6

Longin Jan Latecki
Longin Jan Latecki

H-Index: 37

A bfs-tree of ranking references for unsupervised manifold learning

Pattern Recognition

2021/3/1

Weakly supervised learning through rank-based contextual measures

2021/1/10

See List of Professors in Lucas Pascotti Valem University(Universidade Estadual Paulista)

Co-Authors

academic-engine