Learning to Rank 3D Features

By Oncel Tuzel, Ming-Yu Liu, Yuichi Taguchi, Arvind U. Raghunathan. 2014

34 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Information Retrieval & Search, 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 Aerospace Engineering

1. Yin Zhou
2. Vishwanath A. Sindagi
3. Oncel Tuzel
4. Jiaya Jia
5. Qi Chen
6. Shaoshuai Shi
7. Xiaogang Wang
8. Hongsheng Li

In Computer Vision and Pattern Recognition

1. Vishwanath A. Sindagi
2. Yin Zhou
3. Oncel Tuzel
4. Xiaogang Wang
5. Ming-Hsuan Yang
6. Jiaya Jia
7. Luc Van Gool
8. Vishal M. Patel

In Information Retrieval & Search

1. Yin Zhou
2. Oncel Tuzel

In 3D Vision & Pose

1. Yin Zhou
2. Vishwanath A. Sindagi
3. Oncel Tuzel
4. Jiaya Jia
5. Qi Chen
6. Shaoshuai Shi
7. Shu Liu
8. Charles Ruizhongtai Qi

Citations in the corpus

• VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection (2017, methodology): “Some of the earlier methods for feature representation are [41, 8, 7, 19, 42, 35, 6, 27, 1, 36, 2, 25, 26].”
• MVX-Net: Multimodal VoxelNet for 3D Object Detection (2019, background): “Earlier approaches ([6], [36], [1], [8], [37]) employ hand-crafted representations and achieve satisfactory results in the presence of rich and detailed 3D information.”