João C. Neves

About João C. Neves

João C. Neves, With an exceptional h-index of 18 and a recent h-index of 12 (since 2020), a distinguished researcher at Instituto Politécnico de Viseu, specializes in the field of Artificial Intelligence, Computer Vision, Biometrics, Visual Surveillance.

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

A Multilevel Strategy to Improve People Tracking in a Real-World Scenario

WildFruiP: Estimating Fruit Physicochemical Parameters from Images Captured in the Wild

Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models

People Tracking Methods Applied to Planalto Palace Security Videos

Explainable deep learning methods in medical image classification: A survey

Embedding Aggregation for Forensic Facial Comparison

Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis

Zero-shot face recognition: Improving the discriminability of visual face features using a Semantic-Guided Attention Model

João C. Neves Information

University

Position

Adjunct Professor NOVA-LINCS

Citations(all)

845

Citations(since 2020)

648

Cited By

436

hIndex(all)

18

hIndex(since 2020)

12

i10Index(all)

25

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

João C. Neves Skills & Research Interests

Artificial Intelligence

Computer Vision

Biometrics

Visual Surveillance

Top articles of João C. Neves

A Multilevel Strategy to Improve People Tracking in a Real-World Scenario

arXiv preprint arXiv:2404.18876

2024/4/29

WildFruiP: Estimating Fruit Physicochemical Parameters from Images Captured in the Wild

2023/11/27

Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models

arXiv preprint arXiv:2311.14339

2023/11/24

People Tracking Methods Applied to Planalto Palace Security Videos

2023/11/6

Explainable deep learning methods in medical image classification: A survey

2023/10/21

Embedding Aggregation for Forensic Facial Comparison

arXiv e-prints

2023/4

Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis

2023

Zero-shot face recognition: Improving the discriminability of visual face features using a Semantic-Guided Attention Model

Expert Systems with Applications

2023/1/1

Scamblk: A voice recognition-based natural language processing approach for the detection of telecommunication fraud

2022/7/9

Explainable deep learning methods in medical imaging diagnosis: a survey

2022/5/10

Generative Adversarial Graph Convolutional Networks for Human Action Synthesis

2022

ZSpeedL-Evaluating the Performance of Zero-Shot Learning Methods using Low-Power Devices

2021/11/16

An attention-based deep learning model for multiple pedestrian attributes recognition

Image and Vision Computing

2020/10/1

Human Attribute Recognition—A Comprehensive Survey

2020/8/13

GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection

2020/7/6

All-in-one “HairNet”: A Deep Neural Model for Joint Hair Segmentation and Characterization

2020/9/28

See List of Professors in João C. Neves University(Instituto Politécnico de Viseu)

Co-Authors

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