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JLQ's Projects

2d-3d-semantics icon 2d-3d-semantics

The data skeleton from Joint 2D-3D-Semantic Data for Indoor Scene Understanding

2dpass icon 2dpass

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) :fire:

3d-bat icon 3d-bat

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

3d-bonet icon 3d-bonet

3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)

3d-deepbox icon 3d-deepbox

3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)

3d-detection-papers icon 3d-detection-papers

The papers in this list are about 3d detection, especially those using point clouds.

3d-oae icon 3d-oae

Implementation of paper: Self-Supervised Point Cloud Representation Learning with Occlusion Auto-Encoder

3d-semantic-segmentation icon 3d-semantic-segmentation

This work is based on our paper Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds, which is appeared at the IEEE International Conference on Computer Vision (ICCV) 2017, 3DRMS Workshop.

3detr icon 3detr

Code & Models for 3DETR - an End-to-end transformer model for 3D object detection

3dfeatnet icon 3dfeatnet

3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration

3dioumatch icon 3dioumatch

[CVPR 2021] PyTorch implementation of 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection.

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