no code implementations • 14 Mar 2024 • Shiqing Wei, Prashanth Krishnamurthy, Farshad Khorrami
Designing control inputs that satisfy safety requirements is crucial in safety-critical nonlinear control, and this task becomes particularly challenging when full-state measurements are unavailable.
no code implementations • 16 Mar 2023 • Shiqing Wei, Prashanth Krishnamurthy, Farshad Khorrami
Based on a regularity condition on these uncertainties, we model them as bounded disturbances and prove that a CLF for the nominal system (estimate of the true system) is an input-to-state stable control Lyapunov function (ISS-CLF) for the true system when the CLF's gradient is bounded.
no code implementations • 7 Nov 2022 • Shiqing Wei, Tao Zhang, Shunping Ji, Muying Luo, Jianya Gong
Deep learning based methods have significantly boosted the study of automatic building extraction from remote sensing images.
no code implementations • 22 Aug 2022 • Muying Luo, Shunping Ji, Shiqing Wei
In addition, to further improve the generalization ability of a building extraction model, we propose a domain generalization method named batch style mixing (BSM), which can be embedded as an efficient plug-and-play module in the frond-end of a building extraction model, providing the model with a progressively larger data distribution to learn data-invariant knowledge.
1 code implementation • CVPR 2022 • Tao Zhang, Shiqing Wei, Shunping Ji
In this paper, we introduce a novel contour-based method, named E2EC, for high-quality instance segmentation.
Ranked #97 on Instance Segmentation on COCO test-dev