Analysis of Sampling Strategies for Implicit 3D Reconstruction

no code implementations • 8 Apr 2023 • Q. Liu, X. Yang

In the training process of the implicit 3D reconstruction network, the choice of spatial query points' sampling strategy affects the final performance of the model.

3D Reconstruction

GlassNet: Label Decoupling-based Three-stream Neural Network for Robust Image Glass Detection

no code implementations • 25 Aug 2021 • C. Zheng, D. Shi, X. Yan, D. Liang, M. wei, X. Yang, Y. Guo, H. Xie

Most of the existing object detection methods generate poor glass detection results, due to the fact that the transparent glass shares the same appearance with arbitrary objects behind it in an image.

Object object-detection +1

A parsec-scale faint jet in the nearby changing-look Seyfert galaxy Mrk 590

no code implementations • 12 Jan 2021 • J. Yang, I. van Bemmel, Z. Paragi, S. Komossa, F. Yuan, X. Yang, T. An, J. Y. Koay, C. Reynolds, J. B. R. Oonk, X. Liu, Q. Wu

Broad Balmer emission lines in active galactic nuclei (AGN) may display dramatic changes in amplitude, even disappearance and re-appearance in some sources.

High Energy Astrophysical Phenomena Astrophysics of Galaxies

Detecting intracranial aneurysm rupture from 3D surfaces using a novel GraphNet approach

no code implementations • 17 Oct 2019 • Z. Ma, L. Song, X. Feng, G. Yang, W. Zhu, J. Liu, Y. Zhang, X. Yang, Y. Yin

In this paper, we propose a novel graph based neural network named GraphNet to detect IA rupture from 3D surface data.

General Classification Segmentation