624 citations · 1.4k across the 39 of their papers we have counts for
40 papers
Towards Robust Few-shot Point Cloud Semantic Segmentation
Yating Xu, Na Zhao, Gim Hee Lee
Few-shot point cloud semantic segmentation aims to train a model to quickly adapt to new unseen classes with only a handful of support set samples. However, the noise-free assumpti…
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words
Yating Xu, Conghui Hu, Na Zhao +1
Existing fully-supervised point cloud segmentation methods suffer in the dynamic testing environment with emerging new classes. Few-shot point cloud segmentation algorithms address…
Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motion
Weng Fei Low, Gim Hee Lee
Event cameras offer many advantages over standard cameras due to their distinctive principle of operation: low power, low latency, high temporal resolution and high dynamic range.…
Weakly-supervised 3D Pose Transfer with Keypoints
Jinnan Chen, Chen Li, Gim Hee Lee
The main challenges of 3D pose transfer are: 1) Lack of paired training data with different characters performing the same pose; 2) Disentangling pose and shape information from th…
Minimal Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion
Weng Fei Low, Gim Hee Lee
Explicit neural surface representations allow for exact and efficient extraction of the encoded surface at arbitrary precision, as well as analytic derivation of differential geome…
REGTR: End-to-end Point Cloud Correspondences with Transformers
Zi Jian Yew, Gim Hee Lee
Despite recent success in incorporating learning into point cloud registration, many works focus on learning feature descriptors and continue to rely on nearest-neighbor feature ma…