A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space

8 November 2023

Papers citing "A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space"

8 / 8 papers shown

Title
Incorporating Inductive Biases to Energy-based Generative Models Yukun Li Li-Ping Liu 52 0 0 02 May 2025
HOTFormerLoc: Hierarchical Octree Transformer for Versatile Lidar Place Recognition Across Ground and Aerial Views Ethan Griffiths Maryam Haghighat Simon Denman Clinton Fookes Milad Ramezani 3DPC 59 0 0 11 Mar 2025
Hierarchical Graph Transformer with Adaptive Node Sampling Zaixin Zhang Qi Liu Qingyong Hu Cheekong Lee 78 82 0 08 Oct 2022
QuadTree Attention for Vision Transformers Shitao Tang Jiahui Zhang Siyu Zhu Ping Tan ViT 166 156 0 08 Jan 2022
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 188 157 0 14 Dec 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 214 2,287 0 18 Oct 2020
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks John Bradshaw A. G. Matthews Zoubin Ghahramani BDL AAML 65 171 0 08 Jul 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015