7 citations · 8 across the 3 of their papers we have counts for
3 papers
LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning
S P Sharan, Francesco Pittaluga, Vijay Kumar B G +1
Although planning is a crucial component of the autonomous driving stack, researchers have yet to develop robust planning algorithms that are capable of safely handling the diverse…
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning
Wenxuan Bao, Francesco Pittaluga, Vijay Kumar B G +1
Data augmentation techniques, such as simple image transformations and combinations, are highly effective at improving the generalization of computer vision models, especially when…
LDP-Feat: Image Features with Local Differential Privacy
Francesco Pittaluga, Bingbing Zhuang
Modern computer vision services often require users to share raw feature descriptors with an untrusted server. This presents an inherent privacy risk, as raw descriptors may be use…