Michael Kopp
Orcid: 0000-0002-1385-1109Affiliations:
- HERE Technologies, Zurich, Switzerland
- Institute of Advanced Research in Artificial Intelligence (IARAI), Vienna, Austria
According to our database1,
Michael Kopp
authored at least 30 papers
between 2018 and 2024.
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Bibliography
2024
Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks.
IEEE Trans. Geosci. Remote. Sens., 2024
2023
IEEE Trans. Intell. Transp. Syst., November, 2023
Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network.
Nat. Mac. Intell., October, 2023
Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks.
IEEE Trans. Image Process., 2023
Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks.
CoRR, 2023
2022
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection.
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
Profiling and Improving the PyTorch Dataloader for high-latency Storage: A Technical Report.
CoRR, 2022
CoRR, 2022
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022
A Deep Feature Retrieved Network for Bitemporal Remote Sensing Image Change Detection.
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022
2021
Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors.
Proceedings of the NeurIPS 2022 Competition Track, 2021
Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts.
Proceedings of the NeurIPS 2022 Competition Track, 2021
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021
Proceedings of the NeurIPS 2022 Competition Track, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
High-resolution multi-channel weather forecasting - First insights on transfer learning from the Weather4cast Competitions 2021.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes.
Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020
2019
The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019.
Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019
Towards Modeling Geographical Processes with Generative Adversarial Networks (GANs) (Short Paper).
Proceedings of the 14th International Conference on Spatial Information Theory, 2019
2018
Proceedings of the ECML PKDD 2018 Workshops, 2018