Rafael S. Rezende

Orcid: 0000-0002-4853-105X

Affiliations:
  • Naver Labs Europe, Grenoble, France
  • École Normale Supérieure, Paris, France, (PhD 2017)


According to our database1, Rafael S. Rezende authored at least 12 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

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Bibliography

2024
Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022
Learning with Label Noise for Image Retrieval by Selecting Interactions.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Simple and Effective Balance of Contrastive Losses.
CoRR, 2021

StacMR: Scene-Text Aware Cross-Modal Retrieval.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Probabilistic Embeddings for Cross-Modal Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019
Learning With Average Precision: Training Image Retrieval With a Listwise Loss.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017
New methods for image classification, image retrieval and semantic correspondence . (Nouvelles méthodes pour classification d'image, recherche d'image et correspondance sémantique ).
PhD thesis, 2017

SCNet: Learning Semantic Correspondence.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Kernel Square-Loss Exemplar Machines for Image Retrieval.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


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