Rob Romijnders

According to our database1, Rob Romijnders authored at least 13 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Protect Your Score: Contact-Tracing with Differential Privacy Guarantees.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
The Effect of Covariate Shift and Network Training on Out-of-Distribution Detection.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023

No time to waste: practical statistical contact tracing with few low-bit messages.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Beyond Transfer Learning: Co-finetuning for Action Localisation.
CoRR, 2022

2021
SI-Score: An image dataset for fine-grained analysis of robustness to object location, rotation and size.
CoRR, 2021

Representation learning from videos in-the-wild: An object-centric approach.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Revisiting the Calibration of Modern Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Impact of Aliasing on Generalization in Deep Convolutional Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

On Robustness and Transferability of Convolutional Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019
A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2017
Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction.
CoRR, 2017

2016
Applying Deep Learning to Basketball Trajectories.
CoRR, 2016


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