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Leandro Di Bella
Computer vision & generative AI for autonomous perception (detection, tracking, VLMs) in driving & drones.
CV
Curriculum vitae: education, experience, publications, talks, teaching, and supervision.
Projects
Selected projects in autonomous perception, multi-object tracking, motion forecasting, and mobile app development.
Publications
Peer-reviewed publications and preprints in computer vision, tracking, and vision-language models.
Talks and presentations
Invited talks and presentations on tracking, perception, and AI for autonomous systems.
Teaching
Teaching experience and course support in machine learning and big data processing.
Posts
portfolio
Embedded AI for Edge Devices (TensorRT/ONNX)
Published:
Real-time instance segmentation on NVIDIA edge hardware using ONNX and TensorRT.
HybridTrack (RA-L/ICRA 2025)
Published:
State-of-the-art 3D vehicle multi-object tracking with a real-time data-driven Kalman Filter for autonomous driving.
Mappx (Full-stack mobile app)
Published:
Map-centric social travel app (Flutter + FastAPI + Postgres on Azure, Mapbox) with 1000+ users.
Autonomous Drones (Perception + Sensor Fusion)
Published:
Multi-sensor fusion (RGB/LiDAR/multispectral/IMU/GNSS) for autonomous navigation, localization, and perception.
Autonomous Cars (Motion Forecasting)
Published:
Multi-agent motion forecasting for autonomous driving: interaction-aware trajectory prediction with generative models.
publications
Monokalman: Monocular Vehicle Pose Estimation with Kalman Filter-Based Temporal Consistency
IEEE International Conference on Mobile Data Management (MDM)
LAM3D: Leveraging Attention for Monocular 3D Object Detection
2024 IEEE 26th International Workshop on Multimedia Signal Processing (MMSP)
HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking
IEEE Robotics and Automation Letters (RA-L/ICRA)
ReferGPT: Towards Zero-Shot Referring Multi-Object Tracking
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
ChronoFusion: Spatio-Temporal Super-Resolution based on Graph VAEs and Gated Fusion
European Workshop on Visual Information Processing (EUVIP)
talks
Merging AI and deterministic approaches for better performance: AI-Enhanced Kalman Filtering for Robust Tracking
Published:
AI-enhanced Kalman filtering for robust tracking with real-time capability in autonomous driving/ADAS.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.
Teaching Assistant — Machine Learning & Big Data Processing (VUB)
Teaching Assistant, Vrije Universiteit Brussel (VUB), 2023
Teaching Assistant for Machine Learning and Big Data Processing (2.5 years).