Jordao, Artur; Kloss, Ricardo; Yamada, Fernando; Schwartz, William Robson Pruning Deep Networks using Partial Least Squares Inproceedings Em: British Machine Vision Conference (BMVC) Workshops, pp. 1-9, 2019. @inproceedings{Jordao:2019:BMVC,
title = {Pruning Deep Networks using Partial Least Squares},
author = {Artur Jordao and Ricardo Kloss and Fernando Yamada and William Robson Schwartz},
url = {http://www.dcc.ufmg.br/~william/papers/paper_2019_BMVCW_Jordao.pdf},
year = {2019},
date = {2019-01-01},
booktitle = {British Machine Vision Conference (BMVC) Workshops},
pages = {1-9},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Caetano, Carlos; de Melo, Victor H C; Brémond, François; dos Santos, Jefersson A; Schwartz, William Robson Magnitude-Orientation Stream network and depth information applied to activity recognition Journal Article Em: Journal of Visual Communication and Image Representation, 63 , pp. 102596, 2019, ISSN: 1047-3203. @article{CAETANO2019102596,
title = {Magnitude-Orientation Stream network and depth information applied to activity recognition},
author = {Carlos Caetano and Victor H C de Melo and François Brémond and Jefersson A dos Santos and William Robson Schwartz},
url = {http://www.sciencedirect.com/science/article/pii/S1047320319302172},
doi = {https://doi.org/10.1016/j.jvcir.2019.102596},
issn = {1047-3203},
year = {2019},
date = {2019-01-01},
journal = {Journal of Visual Communication and Image Representation},
volume = {63},
pages = {102596},
abstract = {The temporal component of videos provides an important clue for activity recognition, as a number of activities can be reliably recognized based on the motion information. In view of that, this work proposes a novel temporal stream for two-stream convolutional networks based on images computed from the optical flow magnitude and orientation, named Magnitude-Orientation Stream (MOS), to learn the motion in a better and richer manner. Our method applies simple non-linear transformations on the vertical and horizontal components of the optical flow to generate input images for the temporal stream. Moreover, we also employ depth information to use as a weighting scheme on the magnitude information to compensate the distance of the subjects performing the activity to the camera. Experimental results, carried on two well-known datasets (UCF101 and NTU), demonstrate that using our proposed temporal stream as input to existing neural network architectures can improve their performance for activity recognition. Results demonstrate that our temporal stream provides complementary information able to improve the classical two-stream methods, indicating the suitability of our approach to be used as a temporal video representation.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The temporal component of videos provides an important clue for activity recognition, as a number of activities can be reliably recognized based on the motion information. In view of that, this work proposes a novel temporal stream for two-stream convolutional networks based on images computed from the optical flow magnitude and orientation, named Magnitude-Orientation Stream (MOS), to learn the motion in a better and richer manner. Our method applies simple non-linear transformations on the vertical and horizontal components of the optical flow to generate input images for the temporal stream. Moreover, we also employ depth information to use as a weighting scheme on the magnitude information to compensate the distance of the subjects performing the activity to the camera. Experimental results, carried on two well-known datasets (UCF101 and NTU), demonstrate that using our proposed temporal stream as input to existing neural network architectures can improve their performance for activity recognition. Results demonstrate that our temporal stream provides complementary information able to improve the classical two-stream methods, indicating the suitability of our approach to be used as a temporal video representation. |
Goncalves, Gabriel Resende; Diniz, Matheus Alves; Laroca, Rayson; Menotti, David; Schwartz, William Robson Multi-Task Learning for Low-Resolution License Plate Recognition Inproceedings Em: Iberoamerican Congress on Pattern Recognition (CIARP), pp. 1-10, 2019. @inproceedings{Goncalves:2019:CIARP,
title = {Multi-Task Learning for Low-Resolution License Plate Recognition},
author = {Gabriel Resende Goncalves and Matheus Alves Diniz and Rayson Laroca and David Menotti and William Robson Schwartz},
url = {http://www.dcc.ufmg.br/~william/papers/paper_2019_CIARP_Goncalves.pdf},
year = {2019},
date = {2019-01-01},
booktitle = {Iberoamerican Congress on Pattern Recognition (CIARP)},
pages = {1-10},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Vareto, Rafael Henrique; Diniz, Matheus Alves; Schwartz, William Robson Face Spoofing Detection on Low-Power Devices using Embeddings with Spatial and Frequency-based Descriptors Inproceedings Em: Iberoamerican Congress on Pattern Recognition (CIARP), pp. 1-10, 2019. @inproceedings{Vareto:2019:CIARP,
title = {Face Spoofing Detection on Low-Power Devices using Embeddings with Spatial and Frequency-based Descriptors},
author = {Rafael Henrique Vareto and Matheus Alves Diniz and William Robson Schwartz},
url = {http://www.dcc.ufmg.br/~william/papers/paper_2019_CIARP_Vareto.pdf},
year = {2019},
date = {2019-01-01},
booktitle = {Iberoamerican Congress on Pattern Recognition (CIARP)},
pages = {1-10},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
de Lima, Vitor Cezar; Schwartz, William Robson Gait Recognition using Pose Estimation and Signal Processing Inproceedings Em: Iberoamerican Congress on Pattern Recognition (CIARP), pp. 1-10, 2019. @inproceedings{Lima:2019:CIARP,
title = {Gait Recognition using Pose Estimation and Signal Processing},
author = {Vitor Cezar de Lima and William Robson Schwartz},
url = {http://www.dcc.ufmg.br/~william/papers/paper_2019_CIARP_Vitor.pdf},
year = {2019},
date = {2019-01-01},
booktitle = {Iberoamerican Congress on Pattern Recognition (CIARP)},
pages = {1-10},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Bastos, Igor; de Melo, Victor Hugo Cunha; Schwartz, William Robson Multi-Loss Recurrent Residual Networks for Gesture Detection and Recognition Inproceedings Em: Conference on Graphic, Patterns and Images (SIBGRAPI), pp. 1-8, 2019. @inproceedings{Bastos:2019:SIBGRAPIb,
title = {Multi-Loss Recurrent Residual Networks for Gesture Detection and Recognition},
author = {Igor Bastos and Victor Hugo Cunha de Melo and William Robson Schwartz},
url = {http://www.dcc.ufmg.br/~william/papers/paper_2019_SIBGRAPI_Bastos.pdf},
year = {2019},
date = {2019-01-01},
booktitle = {Conference on Graphic, Patterns and Images (SIBGRAPI)},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Mendes, G; Paiva, Jose Gustavo; Schwartz, William Robson Point-placement techniques and Temporal Self-similarity Maps for Visual Analysis of Surveillance Videos Inproceedings Em: International Conference Information Visualisation, pp. 1-8, 2019. @inproceedings{Mendes:2019:ICIV,
title = {Point-placement techniques and Temporal Self-similarity Maps for Visual Analysis of Surveillance Videos},
author = {G Mendes and Jose Gustavo Paiva and William Robson Schwartz},
year = {2019},
date = {2019-01-01},
booktitle = {International Conference Information Visualisation},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Caetano, Carlos; Bremond, Francois; Schwartz, William Robson Skeleton Image Representation for 3D Action Recognition based on Tree Structure and Reference
Joints Inproceedings Em: Conference on Graphic, Patterns and Images (SIBGRAPI), pp. 1-8, 2019. @inproceedings{Caetano:2019:SIBGRAPIb,
title = {Skeleton Image Representation for 3D Action Recognition based on Tree Structure and Reference
Joints},
author = {Carlos Caetano and Francois Bremond and William Robson Schwartz},
url = {http://www.dcc.ufmg.br/~william/papers/paper_2019_SIBGRAPI_Caetano.pdf},
year = {2019},
date = {2019-01-01},
booktitle = {Conference on Graphic, Patterns and Images (SIBGRAPI)},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Caetano, Carlos; Souza, Jessica; Bremond, Francois; Santos, Jefersson; Schwartz, William Robson SkeleMotion: A New Representation of Skeleton Joint Sequences based on Motion Information for 3D Action Recognition Inproceedings Em: 16th International Conference on Advanced Video and Signal-based Surveillance (AVSS), pp. 1-6, 2019. @inproceedings{Caetano:2019:AVSSb,
title = {SkeleMotion: A New Representation of Skeleton Joint Sequences based on Motion Information for 3D Action Recognition},
author = {Carlos Caetano and Jessica Souza and Francois Bremond and Jefersson Santos and William Robson Schwartz},
url = {http://www.dcc.ufmg.br/~william/papers/paper_2019_AVSS_Caetano.pdf},
year = {2019},
date = {2019-01-01},
booktitle = {16th International Conference on Advanced Video and Signal-based Surveillance (AVSS)},
pages = {1-6},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
de Prates, Raphael Felipe Carvalho; Schwartz, William Robson Kernel cross-view collaborative representation based classification for person re-identification Journal Article Em: Journal of Visual Communication and Image Representation, 58 (1), pp. 304-315, 2019. @article{Prates:2019:JVCI,
title = {Kernel cross-view collaborative representation based classification for person re-identification},
author = {Raphael Felipe Carvalho de Prates and William Robson Schwartz},
doi = {https://doi.org/10.1016/j.jvcir.2018.12.003},
year = {2019},
date = {2019-01-01},
journal = {Journal of Visual Communication and Image Representation},
volume = {58},
number = {1},
pages = {304-315},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
de Melo, Victor Hugo Cunha; Santos, Jesimon Barreto; Junior, Carlos Antonio Caetano; Sena, Jessica; Penatti, Otavio A B; Schwartz, William Robson Object-based Temporal Segment Relational Network for Activity Recognition Inproceedings Em: Conference on Graphic, Patterns and Images (SIBGRAPI), pp. 1-8, 2018. @inproceedings{DeMelo:2018:SIBGRAPI,
title = {Object-based Temporal Segment Relational Network for Activity Recognition},
author = {Victor Hugo Cunha de Melo and Jesimon Barreto Santos and Carlos Antonio Caetano Junior and Jessica Sena and Otavio A B Penatti and William Robson Schwartz},
year = {2018},
date = {2018-09-21},
booktitle = {Conference on Graphic, Patterns and Images (SIBGRAPI)},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Sena, Jessica; Santos, Jesimon Barreto; Schwartz, William Robson Multiscale DCNN Ensemble Applied to Human Activity Recognition Based on Wearable Sensors Inproceedings Em: 26th European Signal Processing Conference (EUSIPCO 2018), pp. 1-5, 2018. @inproceedings{Sena:2018:EUSIPCO,
title = {Multiscale DCNN Ensemble Applied to Human Activity Recognition Based on Wearable Sensors},
author = {Jessica Sena and Jesimon Barreto Santos and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/PID5428933.pdf},
year = {2018},
date = {2018-09-06},
booktitle = {26th European Signal Processing Conference (EUSIPCO 2018)},
pages = {1-5},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Gonçalves, Gabriel Resende; Diniz, Matheus Alves; Laroca, Rayson; Menotti, David; Schwartz, William Robson Real-time Automatic License Plate Recognition Through Deep Multi-Task Networks Inproceedings Em: Conference on Graphic, Patterns and Images (SIBGRAPI), pp. 1-8, 2018. @inproceedings{Goncalves:2018:SIBGRAPI,
title = {Real-time Automatic License Plate Recognition Through Deep Multi-Task Networks},
author = {Gabriel Resende Gonçalves and Matheus Alves Diniz and Rayson Laroca and David Menotti and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper.pdf},
year = {2018},
date = {2018-09-04},
booktitle = {Conference on Graphic, Patterns and Images (SIBGRAPI)},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
de Prates, Raphael Felipe Carvalho; Schwartz, William Robson Kernel multiblock partial least squares for a scalable and multicamera person reidentification system Journal Article Em: pp. 1-33, 2018. @article{Prates:2018:JEI,
title = {Kernel multiblock partial least squares for a scalable and multicamera person reidentification system},
author = {Raphael Felipe Carvalho de Prates and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/article.pdf},
year = {2018},
date = {2018-06-25},
booktitle = {Journal of Electronic Imaging},
pages = {1-33},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Junior, Carlos Antonio Caetano; dos Santos, Jefersson A; Schwartz, William Robson Statistical Measures from Co-occurrence of Codewords for Action Recognition Inproceedings Em: VISAPP 2018 - International Conference on Computer Vision Theory and Applications, pp. 1-8, 2018. @inproceedings{Caetano:2018:VISAPP,
title = {Statistical Measures from Co-occurrence of Codewords for Action Recognition},
author = {Carlos Antonio Caetano Junior and Jefersson A dos Santos and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/VISAPP_2018_CarlosCaetano.pdf},
year = {2018},
date = {2018-01-27},
booktitle = {VISAPP 2018 - International Conference on Computer Vision Theory and Applications},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ferreira, Gabriel Sousa; Padua, Flavio Luis Cardeal; Schwartz, William Robson; Rodrigues, Marco Tulio Alves Nolasco Mapping Sports Interest with Social Network Inproceedings Em: XV Encontro Nacional de Inteligencia Artificial e Computacional (ENIAC), pp. 1-12, 2018. @inproceedings{Ferreira:2018:ENIAC,
title = {Mapping Sports Interest with Social Network},
author = {Gabriel Sousa Ferreira and Flavio Luis Cardeal Padua and William Robson Schwartz and Marco Tulio Alves Nolasco Rodrigues},
url = {http://www.dcc.ufmg.br/~william/papers/paper_2018_ENIAC.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {XV Encontro Nacional de Inteligencia Artificial e Computacional (ENIAC)},
pages = {1-12},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Kloss, Ricardo Barbosa; Jordao, Artur; Schwartz, William Robson Face Verification Strategies for Employing Deep Models Inproceedings Em: 13th IEEE International Conference on Automatic Face & Gesture Recognition, pp. 258-262, 2018. @inproceedings{Kloss:2018:FG,
title = {Face Verification Strategies for Employing Deep Models},
author = {Ricardo Barbosa Kloss and Artur Jordao and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/Face-Verification-Strategies-for-Employing-Deep-Models.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {13th IEEE International Conference on Automatic Face & Gesture Recognition},
pages = {258-262},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Jordao, Artur; Junior, Antonio Carlos Nazare; Sena, Jessica; Schwartz, William Robson Human Activity Recognition based on Wearable Sensor Data: A Benchmark Journal Article Em: arXiv, pp. 1-12, 2018. @article{Jordao:2018:arXiv,
title = {Human Activity Recognition based on Wearable Sensor Data: A Benchmark},
author = {Artur Jordao and Antonio Carlos Nazare Junior and Jessica Sena and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/03/Human-Activity-Recognition-based-on-Wearable-A-Benchmark.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {Arvix},
journal = {arXiv},
pages = {1-12},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Jordao, Artur; Kloss, Ricardo Barbosa; Schwartz, William Robson Latent hypernet: Exploring all Layers from Convolutional Neural Networks Inproceedings Em: IEEE International Joint Conference on Neural Networks (IJCNN), pp. 1-7, 2018. @inproceedings{Jordao:2018b:IJCNN,
title = {Latent hypernet: Exploring all Layers from Convolutional Neural Networks},
author = {Artur Jordao and Ricardo Barbosa Kloss and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/Latent-HyperNet-Exploring-the-Layers.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {IEEE International Joint Conference on Neural Networks (IJCNN)},
pages = {1-7},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Jordao, Artur; Torres, Leonardo Antônio Borges; Schwartz, William Robson Novel Approaches to Human Activity Recognition based on Accelerometer Data Journal Article Em: 12 (7), pp. 1387–1394, 2018. @article{Jordao:2018:SIVP,
title = {Novel Approaches to Human Activity Recognition based on Accelerometer Data},
author = {Artur Jordao and Leonardo Antônio Borges Torres and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/Novel-Approaches-to-Human-Activity-Recognition-based-on.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {Signal, Image and Video Processing},
volume = {12},
number = {7},
pages = {1387–1394},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Colque, Rensso Victor Hugo Mora; Junior, Carlos Antonio Caetano; de Melo, Victor Hugo Cunha; Chavez, Guillermo Camara; Schwartz, William Robson Novel Anomalous Event Detection based on Human-object Interactions Inproceedings Em: VISAPP 2018 - International Conference on Computer Vision Theory and Applications, pp. 1-8, 2018. @inproceedings{Colque:2018:VISAPP,
title = {Novel Anomalous Event Detection based on Human-object Interactions},
author = {Rensso Victor Hugo Mora Colque and Carlos Antonio Caetano Junior and Victor Hugo Cunha de Melo and Guillermo Camara Chavez and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/VISAPP_2018_92.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {VISAPP 2018 - International Conference on Computer Vision Theory and Applications},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Bastos, Igor Leonardo Oliveira; de Melo, Victor Hugo Cunha; Gonçalves, Gabriel Resende; Schwartz, William Robson MORA: A Generative Approach to Extract Spatiotemporal Information Applied to Gesture Recognition Inproceedings Em: 15th International Conference on Advanced Video and Signal-based Surveillance (AVSS), pp. 1-6, 2018. @inproceedings{Bastos:2018:AVSS,
title = {MORA: A Generative Approach to Extract Spatiotemporal Information Applied to Gesture Recognition},
author = {Igor Leonardo Oliveira Bastos and Victor Hugo Cunha de Melo and Gabriel Resende Gonçalves and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/MORA_.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {15th International Conference on Advanced Video and Signal-based Surveillance (AVSS)},
pages = {1-6},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Kloss, Ricardo Barbosa; Jordao, Artur; Schwartz, William Robson Boosted Projection An Ensemble of Transformation Models Inproceedings Em: 22nd Iberoamerican Congress on Pattern Recognition (CIARP), pp. 331-338, 2018. @inproceedings{Kloss:2018:CIARP,
title = {Boosted Projection An Ensemble of Transformation Models},
author = {Ricardo Barbosa Kloss and Artur Jordao and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/Boosted-Projection-An-Ensemble-of-Transformation-Models.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {22nd Iberoamerican Congress on Pattern Recognition (CIARP)},
pages = {331-338},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Reis, Renan Oliveira; Dias, Igor Henrique; Schwartz, William Robson Neural network control for active cameras using master-slave setup Inproceedings Em: International Conference on Advanced Video and Signal-based Surveillance (AVSS), pp. 1-6, 2018. @inproceedings{Reis:2018:AVSS,
title = {Neural network control for active cameras using master-slave setup},
author = {Renan Oliveira Reis and Igor Henrique Dias and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/renan_avss_2018-1-1.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {International Conference on Advanced Video and Signal-based Surveillance (AVSS)},
pages = {1-6},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Junior, Antonio Carlos Nazare; de Costa, Filipe Oliveira; Schwartz, William Robson Content-Based Multi-Camera Video Alignment using Accelerometer Data Inproceedings Em: Advanced Video and Signal Based Surveillance (AVSS), 2018 15th IEEE International Conference on, pp. 1-6, 2018. @inproceedings{Nazare:2018:AVSS,
title = {Content-Based Multi-Camera Video Alignment using Accelerometer Data},
author = {Antonio Carlos Nazare Junior and Filipe Oliveira de Costa and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/2018_avss_svsync_camera_ready.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {Advanced Video and Signal Based Surveillance (AVSS), 2018 15th IEEE International Conference on},
pages = {1-6},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Jordao, Artur; Kloss, Ricardo; Yamada, Fernando; Schwartz, William Robson Pruning Deep Neural Networks using Partial Least Squares Journal Article Em: ArXiv e-prints, 2018. @article{Jordao:2018:arXivb,
title = {Pruning Deep Neural Networks using Partial Least Squares},
author = {Artur Jordao and Ricardo Kloss and Fernando Yamada and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/03/1810.07610.pdf},
year = {2018},
date = {2018-01-01},
journal = {ArXiv e-prints},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Prates, Raphael; Schwartz, William Robson Kernel Multiblock Partial Least Squares for a Scalable and Multicamera Person Reidentification System Journal Article Em: Journal of Electronic Imaging, 27 (3), pp. 1-33, 2018. @article{Prates:2018:JEIb,
title = {Kernel Multiblock Partial Least Squares for a Scalable and Multicamera Person Reidentification System},
author = {Raphael Prates and William Robson Schwartz},
url = {http://www.dcc.ufmg.br/~william/papers/paper_2018_JEI.pdf},
doi = {10.1117/1.JEI.27.3.033041},
year = {2018},
date = {2018-01-01},
journal = {Journal of Electronic Imaging},
volume = {27},
number = {3},
pages = {1-33},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Sales, Anderson Luis Cavalcanti; Vareto, Rafael Henrique; Schwartz, William Robson; Chavez, Guillermo Camara Single-Shot Person Re-Identification Combining Similarity Metrics and Support Vectors Inproceedings Em: Conference on Graphic, Patterns and Images (SIBGRAPI), pp. 1-8, 2018. @inproceedings{Sales:2018:SIBGRAPI,
title = {Single-Shot Person Re-Identification Combining Similarity Metrics and Support Vectors},
author = {Anderson Luis Cavalcanti Sales and Rafael Henrique Vareto and William Robson Schwartz and Guillermo Camara Chavez},
url = {http://www.dcc.ufmg.br/~william/papers/paper_2018_SIBGRAPI_Sales.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {Conference on Graphic, Patterns and Images (SIBGRAPI)},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Bastos, Igor Leonardo Oliveira; Soares, Larissa Rocha; Schwartz, William Robson Pyramidal Zernike Over Time: A spatiotemporal feature descriptor based on Zernike Moments Inproceedings Em: Iberoamerican Congress on Pattern Recognition (CIARP 2017), pp. 77-85, 2017. @inproceedings{Bastos:2017:CIARP,
title = {Pyramidal Zernike Over Time: A spatiotemporal feature descriptor based on Zernike Moments},
author = {Igor Leonardo Oliveira Bastos and Larissa Rocha Soares and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/PZOT_camera_ready.pdf},
year = {2017},
date = {2017-11-07},
booktitle = {Iberoamerican Congress on Pattern Recognition (CIARP 2017)},
pages = {77-85},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Vareto, Rafael Henrique; da Silva, Samira Santos; de Costa, Filipe Oliveira; Schwartz, William Robson Towards Open-Set Face Recognition using Hashing Functions Inproceedings Em: International Joint Conference on Biometrics (IJCB), pp. 1-8, 2017. @inproceedings{Vareto:2017:IJCB,
title = {Towards Open-Set Face Recognition using Hashing Functions},
author = {Rafael Henrique Vareto and Samira Santos da Silva and Filipe Oliveira de Costa and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2017_IJCB.pdf
http://lena.dcc.ufmg.br/wordpress/towards-open-set-face-recognition-using-hashing-functions/},
year = {2017},
date = {2017-01-01},
booktitle = {International Joint Conference on Biometrics (IJCB)},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Colque, Rensso Victor Hugo Mora; Junior, Carlos Antonio Caetano; de Andrade, Matheus Toledo Lustosa; Schwartz, William Robson Histograms of Optical Flow Orientation and Magnitude and Entropy to Detect Anomalous Events in Videos Journal Article Em: IEEE Transactions on Circuits and Systems for Video Technology, 27 (3), pp. 673-682, 2017. @article{Colque:2016:TCSVT,
title = {Histograms of Optical Flow Orientation and Magnitude and Entropy to Detect Anomalous Events in Videos},
author = {Rensso Victor Hugo Mora Colque and Carlos Antonio Caetano Junior and Matheus Toledo Lustosa de Andrade and William Robson Schwartz},
url = {http://dx.doi.org/10.1109/TCSVT.2016.2637778},
year = {2017},
date = {2017-01-01},
journal = {IEEE Transactions on Circuits and Systems for Video Technology},
volume = {27},
number = {3},
pages = {673-682},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Bastos, Igor Leonardo Oliveira; Schwartz, William Robson Assigning Relative Importance to Scene Elements Inproceedings Em: Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 1-8, 2017. @inproceedings{Bastos:2017:SIBGRAPI,
title = {Assigning Relative Importance to Scene Elements},
author = {Igor Leonardo Oliveira Bastos and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2017_SIBGRAPI_Bastos.pdf},
year = {2017},
date = {2017-01-01},
booktitle = {Conference on Graphics, Patterns and Images (SIBGRAPI)},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Junior, Carlos Antonio Caetano; de Melo, Victor Hugo Cunha; dos Santos, Jefersson Alex; Schwartz, William Robson Activity Recognition based on a Magnitude-Orientation Stream Network Inproceedings Em: Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 1-8, 2017. @inproceedings{Caetano:2017:SIBGRAPI,
title = {Activity Recognition based on a Magnitude-Orientation Stream Network},
author = {Carlos Antonio Caetano Junior and Victor Hugo Cunha de Melo and Jefersson Alex dos Santos and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2017_SIBGRAPI_Caetano.pdf},
year = {2017},
date = {2017-01-01},
booktitle = {Conference on Graphics, Patterns and Images (SIBGRAPI)},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Vareto, Rafael Henrique; da Silva, Samira Santos; de Costa, Filipe Oliveira; Schwartz, William Robson Face Verification based on Relational Disparity Features and Partial Least Squares Models Inproceedings Em: Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 1-8, 2017. @inproceedings{Vareto:2017:SIBGRAPI,
title = {Face Verification based on Relational Disparity Features and Partial Least Squares Models},
author = {Rafael Henrique Vareto and Samira Santos da Silva and Filipe Oliveira de Costa and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2017_SIBGRAPI_Vareto.pdf
http://lena.dcc.ufmg.br/wordpress/face-verification-based-relational-disparity-features-partial-least-squares-models/},
year = {2017},
date = {2017-01-01},
booktitle = {Conference on Graphics, Patterns and Images (SIBGRAPI)},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
de Prates, Raphael Felipe Carvalho; Schwartz, William Robson Kernel Hierarchical PCA for Person Re-Identification Inproceedings Em: IAPR International Conference on Pattern Recognition (ICPR), 2016. @inproceedings{Prates2016ICPR,
title = {Kernel Hierarchical PCA for Person Re-Identification},
author = {Raphael Felipe Carvalho de Prates and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/Kernel_HPCA_final.pdf},
year = {2016},
date = {2016-12-13},
booktitle = {IAPR International Conference on Pattern Recognition (ICPR)},
abstract = {Person re-identification (Re-ID) maintains a global identity for an individual while he moves along a large area covered by multiple cameras. Re-ID enables a multi-camera monitoring of individual activity that is critical for surveillance systems. However, the low-resolution images combined with the different poses, illumination conditions and camera viewpoints make person Re-ID a challenging problem. To reach a higher matching performance, state-of-the-art methods map the data to a nonlinear feature space where they learn a cross-view matching function using training data. Kernel PCA is a statistical method that learns a common subspace that captures most of the variability of samples using a small number of vector basis. However, Kernel PCA disregards that images were captured by distinct cameras, a critical problem in person ReID. Differently, Hierarchical PCA (HPCA) captures a consensus projection between multiblock data (e.g, two camera views), but it is a linear model. Therefore, we propose the Kernel Hierarchical PCA (Kernel HPCA) to tackle camera transition and dimensionality reduction in a unique framework. To the best of our knowledge, this is the first work to propose a kernel extension to the multiblock HPCA method. Experimental results demonstrate that Kernel HPCA reaches a matching performance comparable with state-of-the-art nonlinear subspace learning methods at PRID450S and VIPeR datasets. Furthermore, Kernel
HPCA reaches a better combination of subspace learning and dimensionality requiring significantly lower subspace dimensions.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Person re-identification (Re-ID) maintains a global identity for an individual while he moves along a large area covered by multiple cameras. Re-ID enables a multi-camera monitoring of individual activity that is critical for surveillance systems. However, the low-resolution images combined with the different poses, illumination conditions and camera viewpoints make person Re-ID a challenging problem. To reach a higher matching performance, state-of-the-art methods map the data to a nonlinear feature space where they learn a cross-view matching function using training data. Kernel PCA is a statistical method that learns a common subspace that captures most of the variability of samples using a small number of vector basis. However, Kernel PCA disregards that images were captured by distinct cameras, a critical problem in person ReID. Differently, Hierarchical PCA (HPCA) captures a consensus projection between multiblock data (e.g, two camera views), but it is a linear model. Therefore, we propose the Kernel Hierarchical PCA (Kernel HPCA) to tackle camera transition and dimensionality reduction in a unique framework. To the best of our knowledge, this is the first work to propose a kernel extension to the multiblock HPCA method. Experimental results demonstrate that Kernel HPCA reaches a matching performance comparable with state-of-the-art nonlinear subspace learning methods at PRID450S and VIPeR datasets. Furthermore, Kernel
HPCA reaches a better combination of subspace learning and dimensionality requiring significantly lower subspace dimensions. |
Jordao, Artur; Sena, Jessica; Schwartz, William Robson A Late Fusion Approach to Combine Multiple Pedestrian Detectors Inproceedings Em: IAPR International Conference on Pattern Recognition (ICPR), pp. 1-6, 2016. @inproceedings{Correia:2016:ICPR,
title = {A Late Fusion Approach to Combine Multiple Pedestrian Detectors},
author = {Artur Jordao and Jessica Sena and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/A-Late-Fusion-Approach-to-Combine-Multiple.pdf},
year = {2016},
date = {2016-12-13},
booktitle = {IAPR International Conference on Pattern Recognition (ICPR)},
pages = {1-6},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Junior, Carlos Antonio Caetano; dos Santos, Jefersson A; Schwartz, William Robson Optical Flow Co-occurrence Matrices: A Novel Spatiotemporal Feature Descriptor Inproceedings Em: IAPR International Conference on Pattern Recognition (ICPR), pp. 1-6, 2016. @inproceedings{Caetano:2016:ICPR,
title = {Optical Flow Co-occurrence Matrices: A Novel Spatiotemporal Feature Descriptor},
author = {Carlos Antonio Caetano Junior and Jefersson A dos Santos and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/ICPR2016.pdf},
year = {2016},
date = {2016-12-13},
booktitle = {IAPR International Conference on Pattern Recognition (ICPR)},
pages = {1-6},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Gonçalves, Gabriel Resende; Menotti, David; Schwartz, William Robson License Plate Recognition based on Temporal Redundancy Inproceedings Em: IEEE International Conference on Intelligent Transportation Systems (ITSC), pp. 1-5, 2016. @inproceedings{Goncalves:2016:ITSC,
title = {License Plate Recognition based on Temporal Redundancy},
author = {Gabriel Resende Gonçalves and David Menotti and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2016_ITSC.pdf},
year = {2016},
date = {2016-11-04},
booktitle = {IEEE International Conference on Intelligent Transportation Systems (ITSC)},
pages = {1-5},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Gonçalves, Gabriel Resende; da Silva, Sirlene Pio Gomes; Menotti, David; Schwartz, William Robson Benchmark for License Plate Character Segmentation Journal Article Em: Journal of Electronic Imaging, 25 (5), pp. 1-5, 2016, ISBN: 1017-9909. @article{2016:JEI:Gabriel,
title = {Benchmark for License Plate Character Segmentation},
author = {Gabriel Resende Gonçalves and Sirlene Pio Gomes da Silva and David Menotti and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/JEI-2016-Benchmark.pdf},
isbn = {1017-9909},
year = {2016},
date = {2016-10-24},
journal = {Journal of Electronic Imaging},
volume = {25},
number = {5},
pages = {1-5},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Vareto, Rafael Henrique; de Costa, Filipe Oliveira; Schwartz, William Robson Face Identification in Large Galleries Inproceedings Em: Workshop on Face Processing Applications, pp. 1-4, 2016. @inproceedings{Vareto:2016:WFPA,
title = {Face Identification in Large Galleries},
author = {Rafael Henrique Vareto and Filipe Oliveira de Costa and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2016_WFPA.pdf},
year = {2016},
date = {2016-10-02},
booktitle = {Workshop on Face Processing Applications},
pages = {1-4},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
de Prates, Raphael Felipe Carvalho; Dutra, Cristianne Rodrigues Santos; Schwartz, William Robson Predominant Color Name Indexing Structure for Person Re-Identification Inproceedings Em: IEEE International Conference on Image Processing (ICIP), 2016. @inproceedings{Prates2016ICIP,
title = {Predominant Color Name Indexing Structure for Person Re-Identification},
author = {Raphael Felipe Carvalho de Prates and Cristianne Rodrigues Santos Dutra and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2016_ICIP_Prates.pdf},
year = {2016},
date = {2016-09-25},
booktitle = {IEEE International Conference on Image Processing (ICIP)},
abstract = {The automation of surveillance systems is important to allow real-time analysis of critical events, crime investigation and prevention. A crucial step in the surveillance systems is the person re-identification (Re-ID) which aims at maintaining the identity of agents in non-overlapping camera networks. Most of the works in literature compare a test sample against the entire gallery, restricting the scalability. We address this problem employing multiple indexing lists obtained by color name descriptors extracted from partbased models using our proposed Predominant Color Name (PCN) indexing structure. PCN is a flexible indexing structure that relates features to gallery images without the need of labelled training images and can be integrated with existing supervised and unsupervised person Re-ID frameworks. Experimental results demonstrate that the proposed approach outperforms indexation based on unsupervised clustering methods such as k-means and c-means. Furthermore, PCN reduces the computational efforts with a minimum performance degradation. For instance, when indexing 50% and 75% of the gallery images, we observed a reduction in AUC curve of 0.01 and 0.08, respectively, when compared to indexing the entire gallery.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The automation of surveillance systems is important to allow real-time analysis of critical events, crime investigation and prevention. A crucial step in the surveillance systems is the person re-identification (Re-ID) which aims at maintaining the identity of agents in non-overlapping camera networks. Most of the works in literature compare a test sample against the entire gallery, restricting the scalability. We address this problem employing multiple indexing lists obtained by color name descriptors extracted from partbased models using our proposed Predominant Color Name (PCN) indexing structure. PCN is a flexible indexing structure that relates features to gallery images without the need of labelled training images and can be integrated with existing supervised and unsupervised person Re-ID frameworks. Experimental results demonstrate that the proposed approach outperforms indexation based on unsupervised clustering methods such as k-means and c-means. Furthermore, PCN reduces the computational efforts with a minimum performance degradation. For instance, when indexing 50% and 75% of the gallery images, we observed a reduction in AUC curve of 0.01 and 0.08, respectively, when compared to indexing the entire gallery. |
de Prates, Raphael Felipe Carvalho; Oliveira, Marina Santos; Schwartz, William Robson Kernel Partial Least Squares for Person Re-Identification Inproceedings Em: IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2016. @inproceedings{Prates2016AVSS,
title = {Kernel Partial Least Squares for Person Re-Identification},
author = {Raphael Felipe Carvalho de Prates and Marina Santos Oliveira and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/egpaper_for_DoubleBlindReview.pdf},
year = {2016},
date = {2016-09-25},
booktitle = {IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS)},
abstract = {Person re-identification (Re-ID) keeps the same identity for a person as he moves along an area with nonoverlapping surveillance cameras. Re-ID is a challenging task due to appearance changes caused by different camera viewpoints, occlusion and illumination conditions. While robust and discriminative descriptors are obtained combining texture, shape and color features in a high-dimensional representation, the achievement of accuracy and efficiency demands dimensionality reduction methods. At this paper, we propose variations of Kernel Partial Least Squares (KPLS) that simultaneously reduce the dimensionality and increase the discriminative power. The Cross-View KPLS (X-KPLS) and KPLS Mode A capture cross-view discriminative information and are successful for unsupervised and supervised Re-ID. Experimental results demonstrate that XKPLS presents equal or higher matching results when compared to other methods in literature at PRID450S.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Person re-identification (Re-ID) keeps the same identity for a person as he moves along an area with nonoverlapping surveillance cameras. Re-ID is a challenging task due to appearance changes caused by different camera viewpoints, occlusion and illumination conditions. While robust and discriminative descriptors are obtained combining texture, shape and color features in a high-dimensional representation, the achievement of accuracy and efficiency demands dimensionality reduction methods. At this paper, we propose variations of Kernel Partial Least Squares (KPLS) that simultaneously reduce the dimensionality and increase the discriminative power. The Cross-View KPLS (X-KPLS) and KPLS Mode A capture cross-view discriminative information and are successful for unsupervised and supervised Re-ID. Experimental results demonstrate that XKPLS presents equal or higher matching results when compared to other methods in literature at PRID450S. |
Jordao, Artur; Schwartz, William Robson Oblique Random Forest based on Partial Least Squares Applied to Pedestrian Detection Inproceedings Em: IEEE International Conference on Image Processing (ICIP), pp. 2931-2935, 2016. @inproceedings{Correia:2016:ICIP,
title = {Oblique Random Forest based on Partial Least Squares Applied to Pedestrian Detection},
author = {Artur Jordao and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/OBLIQUE-RANDOM-FOREST-BASED-ON-PARTIAL-LEAST-SQUARES-APPLIED-TO.pdf},
year = {2016},
date = {2016-09-25},
booktitle = {IEEE International Conference on Image Processing (ICIP)},
pages = {2931-2935},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
dos Junior, Cassio Elias Santos; Kijak, Ewa; Gravier, Guillaume; Schwartz, William Robson Partial least squares for face hashing Journal Article Em: Neurocomputing, 213 , pp. 34–47, 2016. @article{Santos:2016:Neurocomputing,
title = {Partial least squares for face hashing},
author = {Cassio Elias Santos dos Junior and Ewa Kijak and Guillaume Gravier and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2016_Neurocomputing_Santos.pdf},
year = {2016},
date = {2016-02-03},
journal = {Neurocomputing},
volume = {213},
pages = {34--47},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Junior, Antonio Carlos Nazare; Schwartz, William Robson A scalable and flexible framework for smart video surveillance Journal Article Em: Computer Vision and Image Understanding, 144 (C), pp. 258–275, 2016. @article{Nazare:2016:CVIU,
title = {A scalable and flexible framework for smart video surveillance},
author = {Antonio Carlos Nazare Junior and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2016_CVIU.pdf},
year = {2016},
date = {2016-01-01},
journal = {Computer Vision and Image Understanding},
volume = {144},
number = {C},
pages = {258--275},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Rodrigues, Marco Tulio Alves; de Mesquita, Daniel Balbino; Nascimento, Erickson R; Schwartz, William Robson Change detection based on feature invariant to monotonic transforms and spatially constrained matching Journal Article Em: Journal of Electronic Imaging, 25 (1), pp. 1-10, 2016. @article{Rodrigues:2016:JEI,
title = {Change detection based on feature invariant to monotonic transforms and spatially constrained matching},
author = {Marco Tulio Alves Rodrigues and Daniel Balbino de Mesquita and Erickson R Nascimento and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2016_JEI.pdf},
year = {2016},
date = {2016-01-01},
journal = {Journal of Electronic Imaging},
volume = {25},
number = {1},
pages = {1-10},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
dos Jr., Cassio Santos E; Kijak, Ewa; Gravier, Guillaume; Schwartz, William Robson Partial least squares for face hashing Journal Article Em: Neurocomputing, 213 , pp. 34-47, 2016. @article{Santos:2016:Neurocomputingb,
title = {Partial least squares for face hashing},
author = {Cassio Santos E dos Jr. and Ewa Kijak and Guillaume Gravier and William Robson Schwartz},
url = {http://www.dcc.ufmg.br/~william/papers/paper_2016_Neurocomputing_Santos.pdf},
doi = {10.1016/j.neucom.2016.02.083},
year = {2016},
date = {2016-01-01},
journal = {Neurocomputing},
volume = {213},
pages = {34-47},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Colque, Rensso Victor Hugo Mora; Junior, Carlos Antonio Caetano; Schwartz, William Robson Histograms of Optical Flow Orientation and Magnitude to Detect Anomalous Events in Videos Inproceedings Em: Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 1-8, 2015. @inproceedings{SIBGRAPI:2015:Colque,
title = {Histograms of Optical Flow Orientation and Magnitude to Detect Anomalous Events in Videos},
author = {Rensso Victor Hugo Mora Colque and Carlos Antonio Caetano Junior and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_camera_ready.pdf},
year = {2015},
date = {2015-08-25},
booktitle = {Conference on Graphics, Patterns and Images (SIBGRAPI)},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
dos Junior, Cassio Elias Santos; Kijak, E; Gravier, G; Schwartz, William Robson Learning to Hash Faces Using Large Feature Vectors Inproceedings Em: Content-Based Multimedia Indexing (CBMI), 13th International Workshop on, pp. 1–6, IEEE, 2015. @inproceedings{santos2015learning,
title = {Learning to Hash Faces Using Large Feature Vectors},
author = {Cassio Elias Santos dos Junior and E Kijak and G Gravier and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/2015-Learning_to_Hash_Faces_Using_Large_Feature_Vectors.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {Content-Based Multimedia Indexing (CBMI), 13th International Workshop on},
pages = {1--6},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Hu, Shuowen; Choi, Jonghyun; Chan, Alex L; Schwartz, William Robson Thermal-to-visible Face Recognition using Partial Least Squares Journal Article Em: Journal of the Optical Society of America A, 32 (3), pp. 431–442, 2015. @article{Hu:2015:JOSAA,
title = {Thermal-to-visible Face Recognition using Partial Least Squares},
author = {Shuowen Hu and Jonghyun Choi and Alex L Chan and William Robson Schwartz},
url = {http://dx.doi.org/10.1364/JOSAA.32.000431},
year = {2015},
date = {2015-01-01},
journal = {Journal of the Optical Society of America A},
volume = {32},
number = {3},
pages = {431--442},
publisher = {OSA},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
