135 citations · 473 across the 31 of their papers we have counts for
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cs.CV2026
MonoPhysics: Estimating Geometry, Appearance, and Physical Parameters from Monocular Videos
Daniel Rho, Jun Myeong Choi, Matthew Thornton +2
Existing inverse physics methods recover physical parameters from multi-view videos, where geometric constraints across views resolve scale and 3D structure. In monocular settings,…
eess.SY2026
Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control
Ankur Kamboj, Biswadip Dey, Vaibhav Srivastava
We develop a physics-informed learning framework for energy-shaping control of port-Hamiltonian (pH) systems from trajectory data. The proposed approach co-learns a pH system model…