David Peter

Orcid: 0000-0001-7950-9915

According to our database1, David Peter authored at least 9 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2022
A Realism Metric for Generated LiDAR Point Clouds.
Int. J. Comput. Vis., 2022

End-to-End Keyword Spotting Using Neural Architecture Search and Quantization.
Proceedings of the IEEE International Conference on Acoustics, 2022

Point Cloud Generation with Continuous Conditioning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Semi-Local Convolutions for LiDAR Scan Processing.
CoRR, 2021

Quantifying Point Cloud Realism Through Adversarially Learned Latent Representations.
Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

2020
Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Resource-Efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
CNN-based synthesis of realistic high-resolution LiDAR data.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2018
Boosting LiDAR-Based Semantic Labeling by Cross-modal Training Data Generation.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018


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