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Yongzhi Xu's Projects

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

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

3dmv icon 3dmv

[ECCV'18] 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation

asis icon asis

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

atlantanet icon atlantanet

Pytorch implementation of the ECCV 2020 paper: AtlantaNet: Inferring the 3D Indoor Layout from a Single 360 Image beyond the Manhattan World Assumption

awesome-object-detection icon awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

centernet icon centernet

Object detection, 3D detection, and pose estimation using center point detection:

colmap icon colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

cordet icon cordet

All the data and codes will be opened soon.

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deit icon deit

Official DeiT repository

detectron2 icon detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

dula-net icon dula-net

Pytorch demo code of our CVPR 2019 paper: DuLa-Net: A Dual-Projection Network for Estimating Room Layouts from a Single RGB Panorama

dynamic_pointnet icon dynamic_pointnet

pointnet with dynamic sampling, pyramid multiscale architecture and difficulty aware abilities

floor-sp icon floor-sp

Floor-SP: Inverse CAD for Floorplans by Sequential Room-wise Shortest Path, ICCV 2019

horizonnet icon horizonnet

Pytorch implementation of HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation.

lavis icon lavis

LAVIS - A One-stop Library for Language-Vision Intelligence

layoutnetv2 icon layoutnetv2

PyTorch implementation of our IJCV paper: "Manhattan Room Layout Reconstruction from a Single 360 image: A Comparative Study of State-of-the-art Methods"

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