Francesco Pittaluga

Orcid: 0000-0001-6372-6077

According to our database1, Francesco Pittaluga authored at least 24 papers between 2013 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
HorizonWeaver: Generalizable Multi-Level Semantic Editing for Driving Scenes.
CoRR, April, 2026

RAD-LAD: Rule and Language Grounded Autonomous Driving in Real-Time.
CoRR, March, 2026

HorizonForge: Driving Scene Editing with Any Trajectories and Any Vehicles.
CoRR, February, 2026

2025
LangDriveCTRL: Natural Language Controllable Driving Scene Editing with Multi-modal Agents.
CoRR, December, 2025

LangTraj: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
OpEnCam: Lensless Optical Encryption Camera.
IEEE Trans. Computational Imaging, 2024

Controllable Safety-Critical Closed-loop Traffic Simulation via Guided Diffusion.
CoRR, 2024

LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning.
CoRR, 2024

SAFE-SIM: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LDP-Feat: Image Features with Local Differential Privacy.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Learning Phase Mask for Privacy-Preserving Passive Depth Estimation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Voting-based Approaches For Differentially Private Federated Learning.
CoRR, 2020

A MEMS-based Foveating LIDAR to enable Real-time Adaptive Depth Sensing.
CoRR, 2020

SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction.
Proceedings of the Computer Vision - ECCV 2020, 2020

Towards a MEMS-based Adaptive LIDAR.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Learning Privacy Preserving Encodings Through Adversarial Training.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Privacy-Preserving Action Recognition Using Coded Aperture Videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Revealing Scenes by Inverting Structure From Motion Reconstructions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017
Pre-Capture Privacy for Small Vision Sensors.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

2016
Sensor-level privacy for thermal cameras.
Proceedings of the 2016 IEEE International Conference on Computational Photography, 2016

2015
Privacy preserving optics for miniature vision sensors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2013
Facial recognition using human visual system algorithms for robotic and UAV platforms.
Proceedings of the 2013 IEEE Conference on Technologies for Practical Robot Applications, 2013


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