Aishwarya Venkataramanan

According to our database, Aishwarya Venkataramanan authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Usefulness of synthetic datasets for diatom automatic detection using a deep-learning approach.

Aishwarya Venkataramanan, Pierre Faure-Giovagnoli, Cyril Regan, David Heudre, Cécile Figus, Philippe Usseglio-Polatera, Cédric Pradalier, Martin Laviale

Eng. Appl. Artif. Intell., 2023

Self-Supervised Gaussian Regularization of Deep Classifiers for Mahalanobis-Distance-Based Uncertainty Estimation.

Aishwarya Venkataramanan, Assia Benbihi, Martin Laviale, Cédric Pradalier

CoRR, 2023

Integrating Visual and Semantic Similarity Using Hierarchies for Image Retrieval.

Aishwarya Venkataramanan, Martin Laviale, Cédric Pradalier

Proceedings of the Computer Vision Systems: 14th International Conference, 2023

Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers.

Aishwarya Venkataramanan, Assia Benbihi, Martin Laviale, Cédric Pradalier

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

A data driven approach to generate realistic 3D tree barks.

Aishwarya Venkataramanan, Antoine Richard, Cédric Pradalier

Graph. Model., 2022

2021

Tackling Inter-class Similarity and Intra-class Variance for Microscopic Image-Based Classification.

Aishwarya Venkataramanan, Martin Laviale, Cécile Figus, Philippe Usseglio-Polatera, Cédric Pradalier

Proceedings of the Computer Vision Systems - 13th International Conference, 2021