A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields

By Katrin Honauer, O. Johannsen, Daniel Kondermann, Bastian Goldlücke. Asian Conference on Computer Vision, 2016

645 citations recorded by the source corpus.

Subfields: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/331a30863f04e91fc0ecc523a2686242972b43ab

How researchers see this paper

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

In Computer Graphics and Computer-Aided Design

1. Qionghai Dai
2. Yebin Liu
3. Dong Liu

In Computer Vision and Pattern Recognition

1. Qionghai Dai
2. Yebin Liu
3. Zhengjun Zha
4. Tianyou Chai
5. Dong Liu
6. Belén Masiá
7. Yuchen Zhang
8. Zhen Cheng

In Environmental Engineering

1. Zhengjun Zha
2. Yebin Liu

Citations in the corpus

• Light Field Image Processing: An Overview (2017, background): “[276] presented a light field benchmark that pro-”
• Light Field Super-Resolution with Zero-Shot Learning (2021, background): “For example, when the source is SAE and the target is Stan, Ours-FT gains over ResLF and InterNet with 0.51/0.21 dB; when the source is HFUT and the target is HCI2, Ours-FT gains over ResLF and InterNet with 0.46/0.59 dB.”