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ORCIDJoão C. Neves 0001
Person information
- affiliation (PhD 2017): University of Beira Interior, Castelo Branco, Portugal
Other persons with the same name
- João Neves — disambiguation page
- João Neves 0001
![[0000-0002-5252-0716]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5252-0716")
— Mediclinic Arabian Ranches, Dubai, UAE (and 1 more)
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Journal Articles
- 2024
[j14]Cristiano Patrício, João C. Neves, Luís F. Teixeira:
Explainable Deep Learning Methods in Medical Image Classification: A Survey. ACM Comput. Surv. 56(4): 85:1-85:41 (2024)- 2023
- [j13]Cristiano Patrício, João C. Neves:
Zero-shot face recognition: Improving the discriminability of visual face features using a Semantic-Guided Attention Model. Expert Syst. Appl. 211: 118635 (2023) - 2020
- [j12]Ehsan Yaghoubi, Diana Borza, João Neves, Aruna Kumar, Hugo Proença:
An attention-based deep learning model for multiple pedestrian attributes recognition. Image Vis. Comput. 102: 103981 (2020) - [j11]João C. Neves, Ruben Tolosana, Rubén Vera-Rodríguez, Vasco Lopes, Hugo Proença, Julian Fiérrez:
GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection. IEEE J. Sel. Top. Signal Process. 14(5): 1038-1048 (2020) - 2019
- [j10]João Neves, Hugo Proença:
"A Leopard Cannot Change Its Spots": Improving Face Recognition Using 3D-Based Caricatures. IEEE Trans. Inf. Forensics Secur. 14(1): 151-161 (2019) - [j9]Hugo Proença, João C. Neves:
A Reminiscence of "Mastermind": Iris/Periocular Biometrics by "In-Set" CNN Iterative Analysis. IEEE Trans. Inf. Forensics Secur. 14(7): 1702-1712 (2019) - 2018
- [j8]João Neves, Juan Carlos Moreno, Hugo Proença:
QUIS-CAMPI: an annotated multi-biometrics data feed from surveillance scenarios. IET Biom. 7(4): 371-379 (2018) - [j7]Hugo Proença, João C. Neves:
Deep-PRWIS: Periocular Recognition Without the Iris and Sclera Using Deep Learning Frameworks. IEEE Trans. Inf. Forensics Secur. 13(4): 888-896 (2018) - 2017
- [j6]Hugo Proença, João C. Neves:
Fusing Vantage Point Trees and Linear Discriminants for Fast Feature Classification. J. Classif. 34(1): 85-107 (2017) - [j5]Hugo Proença, João C. Neves:
Soft Biometrics: Globally Coherent Solutions for Hair Segmentation and Style Recognition Based on Hierarchical MRFs. IEEE Trans. Inf. Forensics Secur. 12(7): 1637-1645 (2017) - 2016
- [j4]João C. Neves, Fabio Narducci, Silvio Barra, Hugo Proença:
Biometric recognition in surveillance scenarios: a survey. Artif. Intell. Rev. 46(4): 515-541 (2016) - [j3]Hugo Proença, João C. Neves:
Visible-wavelength iris/periocular imaging and recognition surveillance environments. Image Vis. Comput. 55: 22-25 (2016) - [j2]Hugo Proença, João C. Neves, Silvio Barra, Tiago Marques, Juan Carlos Moreno:
Joint Head Pose/Soft Label Estimation for Human Recognition In-The-Wild. IEEE Trans. Pattern Anal. Mach. Intell. 38(12): 2444-2456 (2016) - 2015
- [j1]Hugo Proença, João Neves, Juan Carlos Briceño:
Face recognition: handling data misalignments implicitly by fusion of sparse representations. IET Comput. Vis. 9(2): 216-225 (2015)
Conference and Workshop Papers
- 2024
- [c26]Cristiano Patrício, Luís F. Teixeira, João C. Neves:
Towards Concept-Based Interpretability of Skin Lesion Diagnosis Using Vision-Language Models. ISBI 2024: 1-5 - [c25]Cristiano B. de Oliveira, João C. Neves, Rafael O. Ribeiro, David Menotti:
A Multilevel Strategy to Improve People Tracking in a Real-World Scenario. VISIGRAPP (4): VISAPP 2024: 130-137 - [c24]Marcelo dos Santos, João C. R. Neves, Hugo Proença, David Menotti:
Defying Limits: Super-Resolution Refinement with Diffusion Guidance. VISIGRAPP (4): VISAPP 2024: 426-434 - 2023
- [c23]Diogo J. Paulo, Cláudia M. B. Neves, Dulcineia Ferreira Wessel, João C. Neves:
WildFruiP: Estimating Fruit Physicochemical Parameters from Images Captured in the Wild. CIARP 2023: 314-326 - [c22]Cristiano Patrício, João C. Neves, Luís F. Teixeira:
Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis. CVPR Workshops 2023: 3799-3808 - 2022
- [c21]Marcelo dos Santos, Rayson Laroca, Rafael O. Ribeiro, João Neves, Hugo Proença, David Menotti:
Face Super-Resolution Using Stochastic Differential Equations. SIBGRAPI 2022: 216-221 - [c20]Bruno Degardin, João Neves, Vasco Lopes, João Brito, Ehsan Yaghoubi, Hugo Proença:
Generative Adversarial Graph Convolutional Networks for Human Action Synthesis. WACV 2022: 2753-2762 - 2021
- [c19]Cristiano Patrício, João C. Neves:
ZSpeedL - Evaluating the Performance of Zero-Shot Learning Methods using Low-Power Devices. AVSS 2021: 1-8 - 2020
- [c18]Diana Borza, Ehsan Yaghoubi, João Neves, Hugo Proença:
All-in-one "HairNet": A Deep Neural Model for Joint Hair Segmentation and Characterization. IJCB 2020: 1-10 - 2019
- [c17]Pendar Alirezazadeh, Ehsan Yaghoubi, Eduardo Assunção, João C. Neves, Hugo Proença:
Pose Switch-based Convolutional Neural Network for Clothing Analysis in Visual Surveillance Environment. BIOSIG 2019: 153-162 - [c16]Ehsan Yaghoubi, Pendar Alirezazadeh, Eduardo Assunção, João C. Neves, Hugo Proença:
Region-Based CNNs for Pedestrian Gender Recognition in Visual Surveillance Environments. BIOSIG 2019: 165-172 - [c15]Rubén Vera-Rodríguez, Marta Blázquez, Aythami Morales, Ester Gonzalez-Sosa, João C. Neves, Hugo Proença:
FaceGenderID: Exploiting Gender Information in DCNNs Face Recognition Systems. CVPR Workshops 2019: 2254-2260 - [c14]Hugo Proença, João C. Neves:
Segmentation-Less and Non-Holistic Deep-Learning Frameworks for Iris Recognition. CVPR Workshops 2019: 2296-2305 - 2018
- [c13]Hugo Proença, João C. Neves:
Biometric Recognition in Surveillance Environments Using Master-Slave Architectures. SIBGRAPI 2018: 479-486 - 2017
- [c12]Hugo Proença, João C. Neves:
IRINA: Iris Recognition (Even) in Inaccurately Segmented Data. CVPR 2017: 6747-6756 - [c11]João Neves, Hugo Proença:
Exploiting Data Redundancy for Error Detection in Degraded Biometric Signatures Resulting From in the Wild Environments. FG 2017: 981-986 - 2016
- [c10]João C. Neves, Hugo Proença:
ICB-RW 2016: International challenge on biometric recognition in the wild. ICB 2016: 1-6 - 2015
- [c9]João C. Neves, Hugo Proença:
Dynamic camera scheduling for visual surveillance in crowded scenes using Markov random fields. AVSS 2015: 1-6 - [c8]João C. Neves, Juan Carlos Moreno, Silvio Barra, Hugo Proença:
Acquiring high-resolution face images in outdoor environments: A master-slave calibration algorithm. BTAS 2015: 1-8 - [c7]João C. Neves, Juan Carlos Moreno, Silvio Barra, Hugo Proença:
A Calibration Algorithm for Multi-camera Visual Surveillance Systems Based on Single-View Metrology. IbPRIA 2015: 552-559 - [c6]João C. Neves, Gil Melfe Mateus Santos, Sílvio Filipe, Emanuel Grancho, Silvio Barra, Fabio Narducci, Hugo Proença:
Quis-Campi: Extending in the Wild Biometric Recognition to Surveillance Environments. ICIAP Workshops 2015: 59-68 - [c5]Maria Rosário de Oliveira, João Neves, Rui Valadas, Paulo Salvador:
Do we need a perfect ground-truth for benchmarking Internet traffic classifiers? INFOCOM 2015: 2452-2460 - 2014
- [c4]Hugo Proença, João C. Neves, Gil Melfe Mateus Santos:
Segmenting the periocular region using a hierarchical graphical model fed by texture / shape information and geometrical constraints. IJCB 2014: 1-7 - [c3]Damian Kacperski, Michal Wlodarczyk, Kamil Grabowski, João Neves:
Evaluation of human silhouette detection methods for a non-cooperative biometric system. MIXDES 2014: 446-450 - 2013
- [c2]João C. Neves, Helena Castro, Hugo Proença, Miguel T. Coimbra:
Automatic Annotation of Leishmania Infections in Fluorescence Microscopy Images. ICIAR 2013: 613-620 - 2011
- [c1]João N. Isento, João A. Dias, João C. Neves, Vasco N. G. J. Soares, Joel J. P. C. Rodrigues, António Manuel Duarte Nogueira, Paulo Salvador:
FTP@VDTN - A file transfer application for Vehicular Delay-Tolerant Networks. EUROCON 2011: 1-4
Informal and Other Publications
- 2024
- [i12]Cristiano B. de Oliveira, João C. Neves, Rafael O. Ribeiro, David Menotti:
A Multilevel Strategy to Improve People Tracking in a Real-World Scenario. CoRR abs/2404.18876 (2024) - [i11]Cristiano Patrício, Carlo Alberto Barbano, Attilio Fiandrotti, Riccardo Renzulli, Marco Grangetto, Luís F. Teixeira, João C. Neves:
Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion Models. CoRR abs/2406.00772 (2024) - [i10]Marcelo dos Santos, Rayson Laroca, Rafael O. Ribeiro, João C. Neves, David Menotti:
Multi-Feature Aggregation in Diffusion Models for Enhanced Face Super-Resolution. CoRR abs/2408.15386 (2024) - 2023
- [i9]Cristiano Patrício, João C. Neves, Luís F. Teixeira:
Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis. CoRR abs/2304.04579 (2023) - [i8]Rafael Oliveira Ribeiro, João C. R. Neves, Arnout C. C. Ruifrok, Flavio de Barros Vidal:
Embedding Aggregation for Forensic Facial Comparison. CoRR abs/2305.00352 (2023) - [i7]Cristiano Patrício, Luís F. Teixeira, João C. Neves:
Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models. CoRR abs/2311.14339 (2023) - 2022
- [i6]Cristiano Patrício, João C. Neves, Luís F. Teixeira:
Explainable Deep Learning Methods in Medical Diagnosis: A Survey. CoRR abs/2205.04766 (2022) - [i5]Marcelo dos Santos, Rayson Laroca, Rafael O. Ribeiro, João Neves, Hugo Proença, David Menotti:
Face Super-Resolution Using Stochastic Differential Equations. CoRR abs/2209.12064 (2022) - 2021
- [i4]Cristiano Patrício, João Neves:
ZSpeedL - Evaluating the Performance of Zero-Shot Learning Methods using Low-Power Devices. CoRR abs/2110.04535 (2021) - [i3]Bruno Degardin, João Neves, Vasco Lopes, João Brito, Ehsan Yaghoubi, Hugo Proença:
Generative Adversarial Graph Convolutional Networks for Human Action Synthesis. CoRR abs/2110.11191 (2021) - 2020
- [i2]Ehsan Yaghoubi, Diana Borza, João Neves, Aruna Kumar, Hugo Proença:
An Attention-Based Deep Learning Model for Multiple Pedestrian Attributes Recognition. CoRR abs/2004.01110 (2020) - 2019
- [i1]João Neves, Ruben Tolosana, Rubén Vera-Rodríguez, Vasco Lopes, Hugo Proença:
Real or Fake? Spoofing State-Of-The-Art Face Synthesis Detection Systems. CoRR abs/1911.05351 (2019)
Coauthor Index
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