Hernán Carrillo is a PhD student in computer science at Université de Bordeaux. He is part of the image and sound research team at LaBRI, and currently working in the PostProdLEAP project funded by the ANR (French National Agency for Research). His research interests include imaging inverse problems, deep learning, computational imaging and image and video processing.
His thesis focuses on developing new tools for video archive post-production by leveraging both, recent deep learning approaches and patch-based and variational approaches. More precisely, he designs deep learning models which include spatial and temporal regularization, and constraints on texture features as a way to automate the process of colorization on post-production videos and images.
PhD in Computer science, 2020 - Now
Université de Bordeaux - France
MSc in Signal and Image Processing, 2018 - 2020
Ecole Centrale de Nantes - France
B.Eng in Electronics, 2012 - 2017
Universidad del Norte - Colombia
For quantitative analysis, cells in microscopic images need to be segmented from the image. In this project it model the problem in terms of semantic segmentation and approach it by means of deep learning, and more specifically with the U-Net architecture.
In this project it is proposed a method for the calibration of a vehicle equipped with a 3DLIDAR and cameras. Combining known vehicle trajectory with the poses from camera and LIDAR, the idea is to propose a non-linear minimization framework to solve the relative transformation between the LIDAR sensor and the camera.
This project aims to automatically transcripts music notes based on a scoring metric. The signal is divided into successive time slots of small duration, on which spectral analysis is performed by Fourier transform.
This project presents a coin counter system based on Convolutional Neural Networks (CNNs) and Digital Image Processing techniques. The framework’s uses images taken by a cellphone camera as input and output the quantity of coins and the amount of money. Note: it should be noted that the system has been tests ONLY on Colombian coins.