no code implementations • 18 Oct 2023 • M. Hashem Pesaran, Liying Yang
Extensions to panels with time effects are provided, and a Hausman-type test of correlated heterogeneity is proposed.
1 code implementation • ICCV 2023 • Liying Yang, Zhenwei Zhu, Xuxin Lin, Jian Nong, Yanyan Liang
The tokens in each group are sampled from all views and can provide macro representation for the resided view.
Ranked #1 on 3D Object Reconstruction on Data3D−R2N2
1 code implementation • 8 Jun 2023 • M. Hashem Pesaran, Liying Yang
It proposes estimators for the moments of the cross-sectional distribution of the autoregressive (AR) coefficients, assuming a random coefficient model for the autoregressive coefficients without imposing any restrictions on the fixed effects.
1 code implementation • ICCV 2023 • Zhenwei Zhu, Liying Yang, Ning li, Chaohao Jiang, Yanyan Liang
We empirically demonstrate on ShapeNet and confirm that our decoupled learning method is adaptable for unstructured multiple images.
Ranked #2 on 3D Object Reconstruction on Data3D−R2N2
1 code implementation • 4 Nov 2022 • Zhenwei Zhu, Liying Yang, Xuxin Lin, Chaohao Jiang, Ning li, Lin Yang, Yanyan Liang
Deep learning technology has made great progress in multi-view 3D reconstruction tasks.