When the Crowd Challenges the Lab

Author:

Redi Judith1,Siahaan Ernestasia1,Korshunov Pavel2,Habigt Julian3,Hossfeld Tobias4

Affiliation:

1. TU Delft, Delft, Netherlands

2. Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

3. Technische Universität München, Munich, Germany

4. University of Duisburg-Essen, Essen, Germany

Publisher

ACM

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Textured Mesh Quality Assessment: Large-scale Dataset and Deep Learning-based Quality Metric;ACM Transactions on Graphics;2023-06-05

2. Towards Effective Crowd-Assisted Similarity Retrieval of Large Cursive Chinese Calligraphic Character Images;Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things;2023-05-26

3. Image Appeal Revisited: Analysis, New Dataset, and Prediction Models;IEEE Access;2023

4. Comparing the Robustness of Humans and Deep Neural Networks on Facial Expression Recognition;Electronics;2022-12-05

5. Related Work;Influencing Factors in Speech Quality Assessment using Crowdsourcing;2021-12-20

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