UrbanScene3D: A Large Scale Urban Scene Dataset and Simulator

By Yilin Liu, Fuyou Xue, Hui Huang. 2021

30 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Evaluation & Benchmarks, 3D Vision & Pose

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Ronghua Liang
2. Liangliang Nan
3. Yanghui Xu
4. Jiazhou Chen
5. Shufang Lu
6. Mahadev Satyanarayanan
7. Haithem Turki
8. Deva Ramanan

In Evaluation & Benchmarks

1. Mahadev Satyanarayanan
2. Deva Ramanan
3. Haithem Turki
4. Kaiming He
5. Ross B. Girshick
6. Chunhua Shen
7. Alan L. Yuille
8. Abhinav Kumar Gupta

In 3D Vision & Pose

1. Mahadev Satyanarayanan
2. Deva Ramanan
3. Haithem Turki
4. Ronghua Liang
5. Yanghui Xu
6. Jiazhou Chen
7. Liangliang Nan
8. Shufang Lu

Citations in the corpus

• 3D Instance Segmentation of MVS Buildings (2021, background): “The most related work about 3-D instance segmentation dataset is the Urban drone dataset (UDD) [57] and UrbanScene3D [58].”
• Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly- Throughs (2021, methodology): “The main third-party assets we used were the UrbanScene3D [20] dataset, the Quad 6k dataset [4], and Pytorch [27], all of which are cited in our main paper.”