CV

CV / Resume

Education

• Ph.D. in Computer Vision, Universitat de Barcelona/Computer Vision Center, May 2024 - Current
  • Relevant Courses: Human-Robot-Object-Interactions (HROIs), Generative AI, Edge, Robotics, Video Analysis, 3D Vision, Detection, Multimodal, Psychology
• M.S. in Computer Vision, Universitat Autónoma Barcelona/Computer Vision Center, Sep 2023
  • GPA: 7.85
  • Relevant Courses: Intro to Computer Vision, Video Analysis, 3D Vision, Detection
• M.S. in Fundamental Principles of Data Science, Universitat de Barcelona, July 2022
  • GPA: 8.5
  • Relevant Courses: Intro to Databases, Machine Learning, Deep Learning, Big Data, Ethics
• B.S. in Computer Science, Universitat de Barcelona, June 2021
  • GPA: 7.1
  • Relevant Courses: Intro to Computer Science, Analysis of Algorithms, Deep Learning

Work experience

• Nov 2023 – Current: Researcher Student, Fundació Bosch i Gimpera
  • Developing an international private project on small multi-object detection and tracking in complex environments.
  • Researching knowledge distillation and quantization techniques for Edge AI.
• Sep 2020 – Current: Researcher Student, Human Pose Recovery and Behavior Analysis
  • Focus on Computer Vision for human analysis, deep learning, and co-organizing challenges.
  • Creation and support for datasets, papers publications, and Master thesis work.
• Mar 2023 – Nov 2023: Researcher Student, Milestone Systems
  • Worked on Loitering Anomaly Detection, Computer Vision, and Machine Learning.
• Aug 2020 – Sep 2021: Junior IT Manager, Brodynt/Expereo
  • Developed and implemented software solutions using the Odoo Framework and Python (APIs with Flask).
  • Provided technical assistance to users and customers.

Skills

• Programming Languages: C/C++/C#, Python, R, Java, HTML5/CSS, SQL, Bash, Yaml
• Frameworks: PyTorch, TensorFlow, Keras, Caffe, OpenCV, scikit-learn, NumPy, Pandas, Hydra
• Databases: PostgreSQL, MongoDB, Firebase
• Tools: GitHub, DataGrip, Google Cloud Services, AWS, Docker

Publications

Identifying Loitering Behavior with Trajectory Analysis

Johnny Núnez, Zenjie Li, Sergio Escalera, Kamal Nasrollahi. (2024). "Identifying Loitering Behavior with Trajectory Analysis." Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 251-259.

Comparison of Spatio-Temporal Hand Pose Denoising Models

Johnny Núnez. (2022). "Comparison of Spatio-Temporal Hand Pose Denoising Models." Universitat de Barcelona.

Chalearn LAP challenges on self-reported personality recognition and non-verbal behavior forecasting during social dyadic interactions: Dataset, design, and results

Cristina Palmero, German Barquero, Julio CS Jacques Junior, Albert Clapés, Johnny Núnez, David Curto, Sorina Smeureanu, Javier Selva, Zejian Zhang, David Saeteros, David Gallardo-Pujol, Georgina Guilera, David Leiva, Feng Han, Xiaoxue Feng, Jennifer He, Wei-Wei Tu, Thomas B Moeslund, Isabelle Guyon, Sergio Escalera. (2022). "Chalearn LAP challenges on self-reported personality recognition and non-verbal behavior forecasting during social dyadic interactions: Dataset, design, and results." Understanding Social Behavior in Dyadic and Small Group Interactions. 4-52.

Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios: Supplementary Material

German Barquero, Johnny Núnez, Zhen Xu, Sergio Escalera, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero. (2022). "Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios: Supplementary Material."

Didn’t see that coming: a survey on non-verbal social human behavior forecasting

German Barquero, Johnny Núnez, Sergio Escalera, Zhen Xu, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero. (2022). "Didn’t see that coming: a survey on non-verbal social human behavior forecasting." Understanding Social Behavior in Dyadic and Small Group Interactions. 139-178.