Search Results for author:
Found 6 papers, 1 papers with code
DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo
Dense 3D correspondence can enhance robotic manipulation by enabling the generalization of spatial, functional, and dynamic information from one object to an unseen counterpart.
3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
Imitation learning provides an efficient way to teach robots dexterous skills; however, learning complex skills robustly and generalizablely usually consumes large amounts of human demonstrations.
Ranked #5 on
Robot Manipulation
on MimicGen
(using extra training data)
A Robust Super-resolution Gridless Imaging Framework for UAV-borne SAR Tomography
This paper presents an innovative gridless 3-D imaging framework tailored for UAV-borne TomoSAR.
Efficient Gridless DoA Estimation Method of Non-uniform Linear Arrays with Applications in Automotive Radars
This paper focuses on the gridless direction-of-arrival (DoA) estimation for data acquired by non-uniform linear arrays (NLAs) in automotive applications.
ATASI-Net: An Efficient Sparse Reconstruction Network for Tomographic SAR Imaging with Adaptive Threshold
In addition, adaptive threshold is introduced for each azimuth-range pixel, enabling the threshold shrinkage to be not only layer-varied but also element-wise.
TomoSAR-ALISTA: Efficient TomoSAR Imaging via Deep Unfolded Network
Synthetic aperture radar (SAR) tomography (TomoSAR) has attracted remarkable interest for its ability in achieving three-dimensional reconstruction along the elevation direction from multiple observations.
