Emanuele Colonna

PhD Student

University of Bari Aldo Moro · Department of Computer Science

I am a PhD student in Computer Science & Mathematics in the Department of Computer Science at the University of Bari Aldo Moro, where I work on computer vision and deep learning, under the supervision of leading researchers.

I am currently pursuing a PhD funded by a fellowship within the framework of the Italian "D.M. n. 117/23" with QuestIT s.r.l., on the PhD project "Study of AI techniques for efficient generation of digital humans and 3D environments" . I am currently working in the CILab lab.

Research Interests

Computer Vision
Deep Learning
Vision and Language
Generative Models
Sign Language

Latest News

Stay updated with my recent activities

My six-month visiting period at Universidad de Las Palmas de Gran Canaria has concluded, but the collaboration with IDETIC and Prof. Moisés Diaz continues! 🇪🇸
Mar 2026
Out work Handscribe was accepted at Computer Vision and Image Understanding. 🏆
Feb 2026
I have joined the Universidad de Las Palmas de Gran Canaria as a visiting researcher at the Instituto Universitario para el Desarrollo tecnológico y la innovación en comunicaciones for six months, under the supervision of Prof. Moisés Diaz. I look forward to fruitful collaborations and new experiences in Spain! 🇪🇸
Sep 2025
Our work Label Anything was accepted at ECAI 2025 in Bologna! 🍝🇮🇹
Jul 2025
Our work Towards Italian Sign Language Generation for Digital Humans was accepted at the NL4AI Workshop at AIxIA 2024 in Bolzano, and received the Best Paper Award! 🏆🇮🇹
Nov 2024
I attended DeepLearn 2024 in Porto, learning about the latest advancements in deep learning. 🇵🇹
Jul 2024
I started my PhD in Computer Science & Mathematics at the University of Bari Aldo Moro, where I will work on computer vision and deep learning! 👁️🤖
Oct 2023
I defended my Master's thesis in Deep Learning at the University of Bari Aldo Moro! 🇮🇹
Mar 2023

Publications

Research contributions and academic work

Teaching & Lectures

Educational materials and course content

Completed
Computer Vision
Video Understanding
Deep Learning
Video Understanding 2026

Advanced topics in video understanding, including spatio-temporal features, action recognition, and state-of-the-art models for 2026.

Supervisor: Prof. Giovanna Castellano
Date: May 29, 2026
Active
Computer Vision
Challenge
Project
Computer Vision Challenge 2026

Guidelines, datasets, and resources for the Computer Vision course challenge in 2026.

Supervisor: Prof. Giovanna Castellano
Date: May 1, 2026
Completed
Computer Vision
Video Understanding
Video Understanding

Introduction and overview of video understanding, including key concepts and applications.

Supervisor: Prof. Giovanna Castellano
Date: May 23, 2024
Completed
Computer Vision
Video Understanding
Sign Language
Case Studies

Case studies for Computer Vision 2024/2025.

Supervisor: Prof. Giovanna Castellano
Date: Apr 23, 2024

Get in Touch

Feel free to reach out for collaborations, questions, or just to connect!