29 citations · 129 across the 15 of their papers we have counts for
29 papers · 1 filter
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…
Weakly Supervised Generative Network for Multiple 3D Human Pose Hypotheses
Chen Li, Gim Hee Lee
3D human pose estimation from a single image is an inverse problem due to the inherent ambiguity of the missing depth. Several previous works addressed the inverse problem by gener…
Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry
He Chen, Pengfei Guo, Pengfei Li +2
Epipolar constraints are at the core of feature matching and depth estimation in current multi-person multi-camera 3D human pose estimation methods. Despite the satisfactory perfor…
HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization
Jiahao Lin, Gim Hee Lee
Current works on multi-person 3D pose estimation mainly focus on the estimation of the 3D joint locations relative to the root joint and ignore the absolute locations of each pose.…
Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation
Meng Tian, Marcelo H Ang, Gim Hee Lee
We present a novel learning approach to recover the 6D poses and sizes of unseen object instances from an RGB-D image. To handle the intra-class shape variation, we propose a deep…
Few-shot 3D Point Cloud Semantic Segmentation
Na Zhao, Tat-Seng Chua, Gim Hee Lee
Many existing approaches for 3D point cloud semantic segmentation are fully supervised. These fully supervised approaches heavily rely on large amounts of labeled training data tha…