Francesco Pasti
(PhD Student)

Short BIO

I'm a PhD Student at the Machine Intelligence Group of the University of Padova under the supervision of Nicola Bellotto.
Currently, I'm a visiting researcher at Columbia University in New York under the supervision of Shree Nayar

I am a Robotics and Computer Vision researcher dedicated to making robot perception faster, and more efficient. My work spans the full visual pipeline: I study how to optimize core vision sensors and how to deploy robust neural networks on severely resource-constrained devices, ultimately enabling greater autonomy at the edge.

I previously worked at Amazon RME as an Automation Engineer.

NEWS

04/2026: Guest lecture at Columbia University on Visual Odometry and SLAM [slides] 🧑‍🏫
06/2025: Replay Consolidation with Label Propagation for Continual Object Detection has been accepted to COLLAs 2025
04/2025: Joined as a Visiting PhD the CAVE lab at Columbia University in New York under the supervision of Shree Nayar 🗽
01/2025: MicroFlow: An Efficient Rust-Based Inference Engine for TinyML, has been published in the Internet of Things Journal.
01/2025: Guest lecture on Continual Learning at University of Padua [slides] 🧑‍🏫
08/2024: Latent Distillation for Continual Object Detection at the Edge has been accepted at CADL, an ECCV-2024 Workshop [slides]
08/2024: OpenNav: Efficient Open Vocabulary 3D Object Detection for Smart Wheelchair Navigation has been accepted at ACVR, an ECCV-2024 Workshop
05/2024: Guest lecture on Continual Learning at University of Padua [slides] 🧑‍🏫
11/2023: Started my "National" PhD at the University of Padua 🧑‍💻
03/2023: Presented my Master Thesis Evaluation of Computer Vision-Based Person Detection on Low-Cost Embedded Systems at VISAPP-2023 in Lisbon, won the "Best Industrial Paper" award 🏆
11/2022: Graduated from the University of Padova with a Master’s in Control Systems Engineering 🎓
09/2022: Started working at Amazon as an Automation Engineer Apprentice 👷