Continuous SO(3) Equivariant Convolution for 3D Point Cloud Analysis
No official code found. Best implementation: jykim2958/CSEConv (5 stars, MIT, last commit 2025-02-03).
No official code found. Best implementation: jykim2958/CSEConv (5 stars, MIT, last commit 2025-02-03).
A Dataset for Analyzing Streaming Media Performance over HTTP/3 Browsers
Functional Transform-Based Low-Rank Tensor Factorization for Multi-dimensional Data Recovery
Learning in the Presence of Low-dimensional Structure: A Spiked Random Matrix Perspective
Towards Explaining the Power of Constant-depth Graph Neural Networks for Structured Linear Programming
${C}^{3}$-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting
The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space
@article{kim2026continuous,
title = {Continuous SO(3) Equivariant Convolution for 3D Point Cloud Analysis},
author = {Jaein Kim and H. Yoo and Dong-Sig Han and Yeon-Ji Song and Byoung-Tak Zhang},
year = {2026},
doi = {10.1007/978-3-031-72943-0_4},
url = {https://doi.org/10.1007/978-3-031-72943-0_4},
journal = {ECCV 2024 2024}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/5ea15ef46d97f14b20f1c69c6e4a598c96d396ac)