Projects per year
Personal profile
Professional Information
José Delpiano did his BSc in Electrical Engineering at the Pontificia Universidad Católica de Chile (2003) and works at the Universidad de los Andes since 2004. José is PhD in Electrical Engineering, Universidad de Chile (2013). He was a Visiting Lecturer at University College London, UK (2015). He has been part of the board of the Chilean chapter of the IEEE Computational Intelligence Society (CIS) several times.
Additional Research Interests
His research interests are in the fields of computer vision and image analysis, particularly concerning computational intelligence techniques. Dr Delpiano has worked on motion analysis problems, especially the estimation of optical flow and tracking of objects. He has focused mainly on biological and bioprocess applications. More recently, he has ventured into studying the application of computer vision to problems related to precision agriculture. In the area of computational intelligence, he has experience in genetic algorithms, convolutional neural networks and transfer learning applied to computer vision problems such as classification and segmentation.
External positions
Investigador Asociado, Advanced Center of Electrical and Electronic Engineering (AC3E)
1 Oct 2018 → …
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Collaborations and top research areas from the last five years
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FONDECYT INICIACIÓN - 11220510: OPTIMIZATION AND CHARACTERIZATION OF OPTICAL FLOW METHODS THAT ARE BASED ON DEEP LEARNING AND APPLICATION TO PROBLEMS FROM BIOMEDICINE
Delpiano, J. F. (Principal Investigator)
Agencia Nacional de Investigación y Desarrollo (ANID)
15/03/22 → 14/03/25
Project: Research
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Project Number: ID21I10360: ArboCensus: evaluación masiva de arbolado urbano asistida por tecnología
Delpiano, J. F. (Principal Investigator)
Agencia Nacional de Investigación y Desarrollo (ANID)
1/01/22 → 31/12/23
Project: Research
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Project Number: N/A: Computer Vision for Hazard Tree Identification and Assessment
Delpiano, J. F. (Principal Investigator)
1/01/22 → 15/01/23
Project: Research
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Optimization and Characterization of Optical Flow Methods That Are Based on Machine Learning and Application to the Study of Voice Pathology
Delpiano, J. F. (Principal Investigator)
Universidad de los Andes Chile
10/03/20 → 10/03/22
Project: Research
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TRANSPORT ALLIANCE BASED ON LABORATORY EXPERIMENTS (TABLE)
Seriani, S. (Principal Investigator), Delpiano, J. F. (Associate Investigator), Fernández, R. (Associate Investigator) & Delpiano, R. (Associate Investigator)
3/01/20 → 2/01/22
Project: Research
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A two-stage deep learning strategy for weed identification in grassfields
Calderara-Cea, F., Torres-Torriti, M., Auat Cheein, F. & Delpiano, J., Oct 2024, In: Computers and Electronics in Agriculture. 225, 109300.Research output: Contribution to journal › Article › peer-review
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Challenges for computer vision as a tool for screening urban trees through street-view images
Arevalo-Ramirez, T., Alfaro, A., Figueroa, J., Ponce-Donoso, M., Saavedra, J. M., Recabarren, M. & Delpiano, J., May 2024, In: Urban Forestry and Urban Greening. 95, p. 1-12 12 p., 128316.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
Exploring the Potential of Reconstructed Multispectral Images for Urban Tree Segmentation in Street View Images
Arevalo-Ramirez, T., Alfaro, A., Saavedra, J. M., Recabarren, M., Ponce-Donoso, M. & Delpiano, J., 2024, (Accepted/In press) In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. p. 1-12 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Apple orchard production estimation using deep learning strategies: A comparison of tracking-by-detection algorithms
Villacrés, J., Viscaino, M., Delpiano, J., Vougioukas, S. & Auat Cheein, F., Jan 2023, In: Computers and Electronics in Agriculture. 204, 107513.Research output: Contribution to journal › Article › peer-review
31 Scopus citations -
Experimental Method to Estimate the Density of Passengers on Urban Railway Platforms
Aguayo, P., Seriani, S., Delpiano, J., Farias, G., Fujiyama, T. & Velastin, S. A., 5 Jan 2023, In: Sustainability. 15, 2, p. 1000Research output: Contribution to journal › Article › peer-review