no code implementations • 28 Feb 2024 • Xinhao Liu, Yingzhao Jiang, Zetao Lin
Model inversion attacks (MIAs) seek to infer the private training data of a target classifier by generating synthetic images that reflect the characteristics of the target class through querying the model.
1 code implementation • 17 Oct 2023 • Xinhao Liu, Moonjun Gong, Qi Fang, Haoyu Xie, Yiming Li, Hang Zhao, Chen Feng
In this paper, we introduce a novel LiDAR perception task of Occupancy Completion and Forecasting (OCF) in the context of autonomous driving to unify these aspects into a cohesive framework.
1 code implementation • 15 Jun 2023 • Yiming Li, Sihang Li, Xinhao Liu, Moonjun Gong, Kenan Li, Nuo Chen, Zijun Wang, Zhiheng Li, Tao Jiang, Fisher Yu, Yue Wang, Hang Zhao, Zhiding Yu, Chen Feng
Monocular scene understanding is a foundational component of autonomous systems.
3D Semantic Scene Completion 3D Semantic Scene Completion from a single 2D image
no code implementations • CVPR 2023 • Chao Chen, Xinhao Liu, Yiming Li, Li Ding, Chen Feng
LiDAR mapping is important yet challenging in self-driving and mobile robotics.
no code implementations • 19 Aug 2022 • Chao Chen, Xinhao Liu, Xuchu Xu, Yiming Li, Li Ding, Ruoyu Wang, Chen Feng
Inspired by noisy label learning, we propose a novel self-supervised framework named \textit{TF-VPR} that uses temporal neighborhoods and learnable feature neighborhoods to discover unknown spatial neighborhoods.