Francesco Pittaluga

According to our database, Francesco Pittaluga authored at least 17 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Wei-Jer Chang, Francesco Pittaluga, Masayoshi Tomizuka, Wei Zhan, Manmohan Chandraker

CoRR, 2024

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

S. P. Sharan, Francesco Pittaluga, Vijay Kumar B. G, Manmohan Chandraker

CoRR, 2024

2023

DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning.

Wenxuan Bao, Francesco Pittaluga, Vijay Kumar B. G, Vincent Bindschaedler

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.

Francesco Pittaluga, Bingbing Zhuang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learning Phase Mask for Privacy-Preserving Passive Depth Estimation.

Zaid Tasneem, Giovanni Milione, Yi-Hsuan Tsai, Xiang Yu, Ashok Veeraraghavan, Manmohan Chandraker, Francesco Pittaluga

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction.

Sriram Narayanan, Ramin Moslemi, Francesco Pittaluga, Buyu Liu, Manmohan Chandraker

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Voting-based Approaches For Differentially Private Federated Learning.

Yuqing Zhu, Xiang Yu, Yi-Hsuan Tsai, Francesco Pittaluga, Masoud Faraki, Manmohan Chandraker, Yu-Xiang Wang

CoRR, 2020

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

Francesco Pittaluga, Zaid Tasneem, Justin Folden, Brevin Tilmon, Ayan Chakrabarti, Sanjeev J. Koppal

CoRR, 2020

SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction.

Sriram N. N, Buyu Liu, Francesco Pittaluga, Manmohan Chandraker

Proceedings of the Computer Vision - ECCV 2020, 2020

Towards a MEMS-based Adaptive LIDAR.

Francesco Pittaluga, Zaid Tasneem, Justin Folden, Brevin Tilmon, Ayan Chakrabarti, Sanjeev J. Koppal

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Learning Privacy Preserving Encodings Through Adversarial Training.

Francesco Pittaluga, Sanjeev J. Koppal, Ayan Chakrabarti

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Privacy-Preserving Action Recognition Using Coded Aperture Videos.

Zihao W. Wang, Vibhav Vineet, Francesco Pittaluga, Sudipta N. Sinha, Oliver Cossairt, Sing Bing Kang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Revealing Scenes by Inverting Structure From Motion Reconstructions.

Francesco Pittaluga, Sanjeev J. Koppal, Sing Bing Kang, Sudipta N. Sinha

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Pre-Capture Privacy for Small Vision Sensors.

Francesco Pittaluga, Sanjeev J. Koppal

IEEE Trans. Pattern Anal. Mach. Intell., 2017

2016

Sensor-level privacy for thermal cameras.

Francesco Pittaluga, Aleksandar Zivkovic, Sanjeev J. Koppal

Proceedings of the 2016 IEEE International Conference on Computational Photography, 2016

2015

Privacy preserving optics for miniature vision sensors.

Francesco Pittaluga, Sanjeev J. Koppal

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.

Nicholas Davis, Francesco Pittaluga, Karen Panetta

Proceedings of the 2013 IEEE Conference on Technologies for Practical Robot Applications, 2013