624 citations · 1.4k across the 39 of their papers we have counts for
15 papers · 1 filter
SESS: Self-Ensembling Semi-Supervised 3D Object Detection
Na Zhao, Tat-Seng Chua, Gim Hee Lee
The performance of existing point cloud-based 3D object detection methods heavily relies on large-scale high-quality 3D annotations. However, such annotations are often tedious and…
Identifying through Flows for Recovering Latent Representations
Shen Li, Bryan Hooi, Gim Hee Lee
Identifiability, or recovery of the true latent representations from which the observed data originates, is de facto a fundamental goal of representation learning. Yet, most deep g…
Trajectory Space Factorization for Deep Video-Based 3D Human Pose Estimation
Jiahao Lin, Gim Hee Lee
Existing deep learning approaches on 3d human pose estimation for videos are either based on Recurrent or Convolutional Neural Networks (RNNs or CNNs). However, RNN-based framework…
PS^2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation
Na Zhao, Tat-Seng Chua, Gim Hee Lee
In this paper, we present the PS^2-Net -- a locally and globally aware deep learning framework for semantic segmentation on 3D scene-level point clouds. In order to deeply incorpor…
Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM
Bingbing Zhuang, Quoc-Huy Tran, Pan Ji +3
Self-calibration of camera intrinsics and radial distortion has a long history of research in the computer vision community. However, it remains rare to see real applications of su…
PointAtrousGraph: Deep Hierarchical Encoder-Decoder with Point Atrous Convolution for Unorganized 3D Points
Liang Pan, Chee-Meng Chew, Gim Hee Lee
Motivated by the success of encoding multi-scale contextual information for image analysis, we propose our PointAtrousGraph (PAG) - a deep permutation-invariant hierarchical encode…