Mihai Dusmanu

Orcid: 0000-0002-3219-1783

According to our database1, Mihai Dusmanu authored at least 14 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2024
Space3D-Bench: Spatial 3D Question Answering Benchmark.
CoRR, 2024

MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby References.
Proceedings of the Computer Vision - ECCV 2024, 2024

EgoGen: An Egocentric Synthetic Data Generator.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
On Challenges of Image Features for Cloud-Based Localization and Mapping.
PhD thesis, 2023

Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
LaMAR: Benchmarking Localization and Mapping for Augmented Reality.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Cross-Descriptor Visual Localization and Mapping.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DeepVideoMVS: Multi-View Stereo on Video With Recurrent Spatio-Temporal Fusion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Privacy-Preserving Visual Feature Descriptors through Adversarial Affine Subspace Embedding.
CoRR, 2020

Multi-view Optimization of Local Feature Geometry.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features.
CoRR, 2019

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017
Argument Mining on Twitter: Arguments, Facts and Sources.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017


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