31 citations · 39 across the 24 of their papers we have counts for
4 papers · 1 filter
Euclid Quick Data Release (Q1). From simulations to sky: Advancing machine-learning lens detection with real Euclid data
Euclid Collaboration, N. E. P. Lines, T. E. Collett +301
In the era of large-scale surveys like Euclid, machine learning has become an essential tool for identifying rare yet scientifically valuable objects, such as strong gravitational…
sketch2symm: Symmetry-aware sketch-to-shape generation via semantic bridging
Yan Zhou, Mingji Li, Xiantao Zeng +2
Sketch-based 3D reconstruction remains a challenging task due to the abstract and sparse nature of sketch inputs, which often lack sufficient semantic and geometric information. To…
Quenching of single-particle strength inferred from nucleon-removal transfer reactions on C
Y. C. Jiang, J. Chen, B. P. Kay +24
The difference in the proton and neutron separation energies () of the weakly bound C ground state is -19.86 MeV, an extreme value. Data from intermediate-energy heavy-i…
PlantSegNeRF: A few-shot, cross-species method for plant 3D instance point cloud reconstruction via joint-channel NeRF with multi-view image instance matching
Xin Yang, Ruiming Du, Hanyang Huang +7
Organ segmentation of plant point clouds is a prerequisite for the high-resolution and accurate extraction of organ-level phenotypic traits. Although the fast development of deep l…