most citedAIM 2024 Sparse Neural Rendering Challenge: Methods and Results

8 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20248 cited

AIM 2024 Sparse Neural Rendering Challenge: Methods and Results

Michal Nazarczuk, Sibi Catley-Chandar, Thomas Tanay +27

This paper reviews the challenge on Sparse Neural Rendering that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2024. This manuscript…

math.DS2024

Port-Hamiltonian modeling and control of a curling HASEL actuator

Nelson Cisneros, Yongxin Wu, Kanty Rabenorosoa +1

This paper is concerned with the modeling and control of a curling Hydraulically Amplified Self-healing Electrostatic (HASEL) actuator using the port-Hamiltonian (PH) approach. For…

math.DS2023

Port-Hamiltonian modeling of multidimensional flexible mechanical structures defined by linear elastic relations

Cristobal Ponce, Yongxin Wu, Yann Le Gorrec +1

This article presents a systematic methodology for modeling a class of flexible multidimensional mechanical structures defined by linear elastic relations that directly allows to o…

eess.SY2023

Infinite-dimensional observers for high order boundary-controlled port-Hamiltonian systems

Jesus-Pablo Toledo-Zucco, Yongxin Wu, Hector Ramirez +1

This letter investigates the design of a class of infinite-dimensional observers for one dimensional (1D) boundary controlled port-Hamiltonian systems (BC-PHS) defined by different…

math.OC20231 cited

Reduced order in domain control of distributed parameter port-Hamiltonian systems via energy shaping

Ning Liu, Yongxin Wu, Yann Le Gorrec +2

An in-domain finite dimensional controller for a class of distributed parameter systems on a one-dimensional spatial domain formulated under the port-Hamiltonian framework is prese…