shuluoshu

AD-MLP

FBMNet

Multi-Modal 3D Object Detection by Box Matching

CAPE

(CVPR2023) CAPE: Camera View Position Embedding for Multi-View 3D Object Detection

rope3d-dataset-tools

AdaptSegNet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

ElasticReconstruction

3D reconstruction system to creating detailed scene geometry from range video.

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

monodepth

Unsupervised single image depth prediction with CNNs

Rope3d-Dataset-tools

shuluoshu.github.io

shuluoshu/shuluoshu.github.io

shuluoshu/models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

shuluoshu/monodepth

Unsupervised single image depth prediction with CNNs

shuluoshu/Rope3d-Dataset-tools

shuluoshu/AdaptSegNet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

shuluoshu/ElasticReconstruction

3D reconstruction system to creating detailed scene geometry from range video.

shuluoshu/frustum-pointnets

Frustum PointNets for 3D Object Detection from RGB-D Data

shuluoshu/pointSIFT

a module for 3D semantic segmentation in point clouds.

shuluoshu/pvnet

Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral

shuluoshu/slambook

shuluoshu/superpoint_graph

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs