6 papers
E2Pano: Learning Event-to-Panorama Image Reconstruction
Zhenyang Li, Zongqi He, Jia Pan +2
Event cameras offer microsecond-level temporal resolution and high dynamic range, potentially facilitating motion-blur-free panoramic imaging from fast rotational scanning. Nonethe…
See Silhouettes in Motion with Neuromorphic Vision
Pei Zhang, Shijie Lin, Zhou Ge +2
Quasi-bimodal objects, such as text, road signs, and barcodes, play a basic yet vital role in daily visual communication. By boiling these down to clear silhouettes, binarization u…
NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning
Ruihua Han, Shuai Wang, Shuaijun Wang +8
Navigating a nonholonomic robot in a cluttered, unknown environment requires accurate perception and precise motion control for real-time collision avoidance. This paper presents N…
EROAM: Event-based Camera Rotational Odometry and Mapping in Real-time
Wanli Xing, Shijie Lin, Linhan Yang +6
This paper presents EROAM, a novel event-based rotational odometry and mapping system that achieves real-time, accurate camera rotation estimation. Unlike existing approaches that…
Lyapunov Stability Learning with Nonlinear Control via Inductive Biases
Yupu Lu, Shijie Lin, Hao Xu +2
Finding a control Lyapunov function (CLF) in a dynamical system with a controller is an effective way to guarantee stability, which is a crucial issue in safety-concerned applicati…
Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity
Guangze Zheng, Shijie Lin, Haobo Zuo +4
This work proposes the Lattice Boltzmann Model (LBM) to learn real-world pixel dynamicity for visual tracking. LBM decomposes visual representations into dynamic pixel lattices and…