Juan Guillermo Paniagua, David Restrepo Rivera, Leandro Ariza-Jimenez,Jose Julian Garces Echeverri, Christian Andres Diaz Leon, Diana Lucia Serna-Higuita,Wiston Arrazola, Sebastian Arango, Ramiro Vélez-Koeppel, Miguel Angel Mejia, ​ Wayner Barrios​ , Jesus Francisco Vargas-Bonilla and O. L. Quintero.

Jia Chen, Jiang Liu, Junwei Liang, Ting-Yao Hu, Wei Ke, ​Wayner Barrios​ , Dong Huang, Alexander Hauptman

Fabian Caba Heilbron, Wayner Barrios, Victor Escorcia, Bernard Ghanem

The ActivityNet Large Scale Activity Recognition Challenge stimulates the computer vision community to develop new algorithms and techinques that improve the state-of-the-art in human activity understanding.
Role: Program Chair.

The workshop is a one-day event with invited speakers, oral presentations, and posters. The event brings together faculty, graduate students, research scientists, and engineers for an opportunity to connect and exchange ideas. There will be a panel discussion and a mentoring session to discuss current research trends and career choices in artificial intelligence and machine learning. While all presenters will identify primarily as latinx, all are invited to attend.
Role: Mentor.

Computer Scientist

Description:​ VivaMed addresses problems derived from COVID-19 and helps physicians to detect COVID-19 using medical imaging in colombian high-level hospitals. Sponsored by Colombian Ministry of Science, Technology and Innovation. My tasks were based on serving Machine Learning (ML) models in production, computer vision advising, data privacy and system architecture.

Computer Vision Research Associate

Description: ​DIVA program sought to develop robust automatic activity detection for a multi-camera streaming video environment. Fully supported by IARPA and NIST funding. I developed computer vision algorithms for detection and recognition of complex activities and events across multiple overlapping and nonoverlapping camera viewpoints in surveillance videos. I participated on ActEv Challenge held by CVPR'19 ActivityNet workshop (CMU team).

Computer Vision Research Associate

Description: ​ActivityNet can be used to compare algorithms for human activity understanding: global video classification, trimmed activity classification and activity detection. I developed algorithms and interfaces for: collecting candidate videos, filtering and temporal annotation tools, QA process, building dataset and evaluation server.

Software Contributor

Description: Harvard Worldmap is an online and open source mapping platform developed to lower barriers for scholars who wish to explore, visualize, edit, and publish geospatial information. I was dedicated on: Large-scale Workloads optimization for production, code developing for visualization and storing big geospatial information and migration processes.