Daniel Olmeda Reino

According to our database1, Daniel Olmeda Reino authored at least 13 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Annotation Free Semantic Segmentation with Vision Foundation Models.
CoRR, 2024

2023
OOD Aware Supervised Contrastive Learning.
CoRR, 2023

First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Contrastive Classification and Representation Learning with Probabilistic Interpretation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Identifying Wrongly Predicted Samples: A Method for Active Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Efficient Large-scale Localization by Global Instance Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Continual Novelty Detection.
Proceedings of the Conference on Lifelong Learning Agents, 2022

Style2NeRF: An Unsupervised One-Shot NeRF for Semantic 3D Reconstruction.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
On the Road to Large-Scale 3D Monocular Scene Reconstruction using Deep Implicit Functions.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Road Anomaly Detection by Partial Image Reconstruction with Segmentation Coupling.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021


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