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ORCIDLeonardo Chang 0001
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- affiliation: Monterrey Institute of Technology and Higher Education (ITESM), School of Engineering and Sciences, Mexico
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2020 – today
- 2022
[j16]Yoanna Martínez-Díaz, Heydi Méndez-Vázquez
, Luis S. Luevano, Miguel Nicolás-Díaz, Leonardo Chang, Miguel González-Mendoza:
Towards Accurate and Lightweight Masked Face Recognition: An Experimental Evaluation. IEEE Access 10: 7341-7353 (2022)- [j15]Juan Carlos Angeles Ceron, Gilberto Ochoa Ruiz, Leonardo Chang, Sharib Ali:
Real-time instance segmentation of surgical instruments using attention and multi-scale feature fusion. Medical Image Anal. 81: 102569 (2022) - [j14]Fernando Camarena, Leonardo Chang, Miguel González-Mendoza, Ricardo J. Cuevas-Ascencio:
Action recognition by key trajectories. Pattern Anal. Appl. 25(2): 409-423 (2022) - [j13]Fernando Camarena, Leonardo Chang, Miguel González-Mendoza, Ricardo J. Cuevas-Ascencio:
Correction to: Action recognition by key trajectories. Pattern Anal. Appl. 25(2): 485 (2022) - [c23]Carlos Vilchis, Miguel González-Mendoza, Leonardo Chang, Sergio A. Navarro-Tuch, Gilberto Ochoa Ruiz, Isaac Rudomín:
A Study of the Frameworks for Digital Humans: Analyzing Facial Tracking evolution and New Research Directions with AI. VISIGRAPP (2: HUCAPP) 2022: 154-162 - 2021
- [j12]Lázaro Janier González-Soler, Marta Gomez-Barrero, Leonardo Chang, Airel Pérez Suárez, Christoph Busch:
Fingerprint Presentation Attack Detection Based on Local Features Encoding for Unknown Attacks. IEEE Access 9: 5806-5820 (2021) - [j11]Luis S. Luevano, Leonardo Chang, Heydi Méndez-Vázquez, Yoanna Martínez-Díaz, Miguel González-Mendoza:
A Study on the Performance of Unconstrained Very Low Resolution Face Recognition: Analyzing Current Trends and New Research Directions. IEEE Access 9: 75470-75493 (2021) - [j10]Yoanna Martínez-Díaz, Miguel Nicolás-Díaz, Heydi Méndez-Vázquez, Luis S. Luevano, Leonardo Chang, Miguel González-Mendoza, Luis Enrique Sucar:
Benchmarking lightweight face architectures on specific face recognition scenarios. Artif. Intell. Rev. 54(8): 6201-6244 (2021) - [j9]Lázaro J. González Soler, Marta Gomez-Barrero, Jascha Kolberg, Leonardo Chang, Airel Pérez Suárez, Christoph Busch:
Local feature encoding for unknown presentation attack detection: An analysis of different local feature descriptors. IET Biom. 10(4): 374-391 (2021) - [c22]Cuauhtemoc Daniel Suarez-Ramirez, Miguel González-Mendoza, Leonardo Chang, Gilberto Ochoa-Ruiz, Mario Alberto Duran-Vega:
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks. CVPR Workshops 2021: 1273-1281 - [c21]Juan Carlos Angeles Ceron, Leonardo Chang, Gilberto Ochoa Ruiz, Sharib Ali:
Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures. EMBC 2021: 1824-1827 - [c20]Cuauhtemoc Daniel Suarez-Ramirez, Mario Alberto Duran-Vega, Héctor M. Sánchez C., Miguel González-Mendoza, Leonardo Chang, John M. Marshall:
Deep Learning Architectures Applied to Mosquito Count Regressions in US Datasets. MICAI (1) 2021: 199-212 - [c19]Andrés Alberto López Esquivel, Miguel González-Mendoza, Leonardo Chang, Antonio Marín-Hernández:
Real Time Distraction Detection by Facial Attributes Recognition. MICAI (1) 2021: 265-276 - [i5]Juan Carlos Angeles Ceron, Leonardo Chang, Gilberto Ochoa-Ruiz, Sharib Ali:
Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures. CoRR abs/2103.15997 (2021) - [i4]Cuauhtemoc Daniel Suarez-Ramirez, Miguel González-Mendoza, Leonardo Chang-Fernandez, Gilberto Ochoa-Ruiz, Mario Alberto Duran-Vega:
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks. CoRR abs/2104.05124 (2021) - [i3]Juan Carlos Angeles Ceron, Gilberto Ochoa-Ruiz, Leonardo Chang, Sharib Ali:
Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion. CoRR abs/2111.04911 (2021) - [i2]Mario Alberto Duran-Vega, Miguel González-Mendoza, Leonardo Chang, Cuauhtemoc Daniel Suarez-Ramirez:
TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video. CoRR abs/2111.08867 (2021) - 2020
- [c18]Yoanna Martínez-Díaz, Heydi Méndez-Vázquez, Luis S. Luevano, Leonardo Chang, Miguel González-Mendoza:
Lightweight Low-Resolution Face Recognition for Surveillance Applications. ICPR 2020: 5421-5428 - [c17]Emmanuel Byrd, Miguel González-Mendoza, Leonardo Chang:
Exploitation of Deaths Registry in Mexico to Estimate the Total Deaths by Influenza Virus: A Preparation to Estimate the Advancement of COVID-19. MICAI (1) 2020: 459-469
2010 – 2019
- 2019
- [j8]Leonardo Chang, Airel Pérez Suárez, Miguel González-Mendoza:
Effective and Generalizable Graph-Based Clustering for Faces in the Wild. Comput. Intell. Neurosci. 2019: 6065056:1-6065056:12 (2019) - [c16]Lázaro J. González Soler, Marta Gomez-Barrero, Leonardo Chang, Airel Pérez Suárez, Christoph Busch:
On the Impact of Different Fabrication Materials on Fingerprint Presentation Attack Detection. ICB 2019: 1-6 - [c15]Yoanna Martínez-Díaz, Luis S. Luevano, Heydi Mendez Vazquez, Miguel Nicolás-Díaz, Leonardo Chang, Miguel González-Mendoza:
ShuffleFaceNet: A Lightweight Face Architecture for Efficient and Highly-Accurate Face Recognition. ICCV Workshops 2019: 2721-2728 - [c14]Fernando Camarena, Leonardo Chang, Miguel González-Mendoza:
Improving the Dense Trajectories Approach Towards Efficient Recognition of Simple Human Activities. IWBF 2019: 1-6 - [i1]Lázaro J. González Soler, Marta Gomez-Barrero, Leonardo Chang, Airel Pérez Suárez, Christoph Busch:
Fingerprint Presentation Attack Detection Based on Local Features Encoding for Unknown Attacks. CoRR abs/1908.10163 (2019) - 2018
- [j7]Yoanna Martínez-Díaz, Noslén Hernández-González, Rolando J. Biscay, Leonardo Chang, Heydi Méndez-Vázquez, Luis Enrique Sucar:
On Fisher vector encoding of binary features for video face recognition. J. Vis. Commun. Image Represent. 51: 155-161 (2018) - [j6]Nisim Hurst Tarrab, Leonardo Chang, Miguel González-Mendoza:
Recopilación de bases de datos de estacionamientos para aplicaciones en visión computacional. Res. Comput. Sci. 147(7): 173-188 (2018) - [j5]Fernando Camarena, Leonardo Chang, Miguel González-Mendoza:
Mejoras al algoritmo de trayectorias densas para el reconocimiento de acciones en video. Res. Comput. Sci. 147(7): 257-268 (2018) - [c13]Yoanna Martínez-Díaz, Heydi Méndez-Vázquez, Leyanis López-Avila, Leonardo Chang, Luis Enrique Sucar, Massimo Tistarelli:
Toward More Realistic Face Recognition Evaluation Protocols for the YouTube Faces Database. CVPR Workshops 2018: 413-421 - 2017
- [j4]Leonardo Chang, Airel Pérez Suárez, José Hernández Palancar, Miguel Arias-Estrada, Luis Enrique Sucar:
Improving visual vocabularies: a more discriminative, representative and compact bag of visual words. Informatica (Slovenia) 41(3) (2017) - [c12]Lázaro Janier González-Soler, Leonardo Chang, José Hernández Palancar, Airel Pérez Suárez, Marta Gomez-Barrero:
Fingerprint Presentation Attack Detection Method Based on a Bag-of-Words Approach. CIARP 2017: 263-271 - [c11]Nelson Méndez Llanes, Luis A. Bouza, Leonardo Chang, Heydi Méndez-Vázquez:
Efficient and Effective Face Frontalization for Face Recognition in the Wild. CIARP 2017: 391-398 - 2016
- [c10]Yoanna Martínez-Díaz, Leonardo Chang, Noslén Hernández, Heydi Mendez Vazquez, Luis Enrique Sucar:
Efficient video face recognition by using Fisher Vector encoding of binary features. ICPR 2016: 1436-1441 - 2015
- [c9]Leonardo Chang, Airel Pérez Suárez, Máximo Rodríguez-Collada, José Hernández Palancar, Miguel O. Arias-Estrada, Luis Enrique Sucar:
Assessing the Distinctiveness and Representativeness of Visual Vocabularies. CIARP 2015: 331-338 - 2014
- [c8]Leonardo Chang, Miguel O. Arias-Estrada, José Hernández Palancar, Luis Enrique Sucar:
Partial Shape Matching and Retrieval under Occlusion and Noise. CIARP 2014: 151-158 - [c7]Lázaro J. González Soler, Airel Pérez Suárez, Leonardo Chang:
Efficient Overlapping Document Clustering Using GPUs and Multi-core Systems. CIARP 2014: 264-271 - [c6]Leonardo Chang, Miguel O. Arias-Estrada, José Hernández Palancar, Luis Enrique Sucar:
An Efficient Shape Feature Extraction, Description and Matching Method Using GPU. ICPRAM (Selected Papers) 2014: 206-221 - [c5]Leonardo Chang, Miguel O. Arias-Estrada, Luis Enrique Sucar, José Hernández Palancar:
LISF: An Invariant Local Shape Features Descriptor Robust to Occlusion. ICPRAM 2014: 429-437 - 2013
- [j3]Leonardo Chang, José Hernández Palancar, Luis Enrique Sucar, Miguel O. Arias-Estrada:
FPGA-based detection of SIFT interest keypoints. Mach. Vis. Appl. 24(2): 371-392 (2013) - [c4]Nelson Méndez Llanes, Leonardo Chang, Yenisel Plasencia Calana, Heydi Méndez-Vázquez:
Facial Landmarks Detection Using Extended Profile LBP-Based Active Shape Models. CIARP (2) 2013: 407-414 - 2012
- [j2]Heydi Méndez-Vázquez, Leonardo Chang, Dayron Rizo-Rodriguez, Annette Morales-González:
Evaluación de la calidad de las imágenes de rostros utilizadas para la identificación de las personas. Computación y Sistemas 16(2) (2012) - [j1]Leonardo Chang, Miriam Monica Duarte, Luis Enrique Sucar, Eduardo F. Morales:
A Bayesian approach for object classification based on clusters of SIFT local features. Expert Syst. Appl. 39(2): 1679-1686 (2012) - 2010
- [c3]Leonardo Chang, Miriam Monica Duarte, Luis Enrique Sucar, Eduardo F. Morales:
Object Class Recognition Using SIFT and Bayesian Networks. MICAI (2) 2010: 56-66
2000 – 2009
- 2009
- [c2]Leonardo Chang, José Hernández Palancar:
A Hardware Architecture for SIFT Candidate Keypoints Detection. CIARP 2009: 95-102 - 2008
- [c1]Leonardo Chang, Ivis Rodés, Heydi Mendez Vazquez, Ernesto del Toro:
Best-Shot Selection for Video Face Recognition Using FPGA. CIARP 2008: 543-550
Coauthor Index
aka: Heydi Méndez-Vázquez
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