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Deep Learning, Computer Vision

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Employment (1)

Friedrich-Schiller-Universität Jena: Jena, DE

2024-06 to present | Research Associate (Department of Mathematics and Computer Science)
Employment
Source: Self-asserted source
Aishwarya Venkataramanan

Education and qualifications (3)

Université de Lorraine: Metz, FR

2020 to present | Doctor of Philosophy
Education
Source: Self-asserted source
Aishwarya Venkataramanan

Georgia Institute of Technology: GA, GA, US

2018 to 2020 | Master of Science (Electrical and Computer Engineering)
Education
Source: Self-asserted source
Aishwarya Venkataramanan

SSN College of Engineering: Chennai, IN

2014 to 2018 | Bachelor of Engineering (Electrical and Electronics Engineering)
Education
Source: Self-asserted source
Aishwarya Venkataramanan

Works (14)

“UDE DIATOMS in the Wild 2024”: a new image dataset of freshwater diatoms for training deep learning models

GigaScience
2024-01-02 | Journal article
DOI: 10.1093/gigascience/giae087
Contributors: Aishwarya Venkataramanan; Michael Kloster; Andrea Burfeid-Castellanos; Mimoza Dani; Ntambwe A S Mayombo; Danijela Vidakovic; Daniel Langenkämper; Mingkun Tan; Cedric Pradalier; Tim Nattkemper et al.
Source: check_circle
Crossref

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

2023 | Working paper
DOI: 10.48550/arXiv.2305.13849
HAL: hal-04034465
Contributors: Aishwarya Venkataramanan; Assia Benbihi; Martin Laviale; Cedric Pradalier
Source: Self-asserted source
Aishwarya Venkataramanan via HAL

Automatic identification of diatoms using deep learning to improve ecological diagnosis of aquatic environments

2023-12-13 | Dissertation or Thesis
HAL: tel-04643505
Contributors: Aishwarya Venkataramanan
Source: Self-asserted source
Aishwarya Venkataramanan via HAL

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

2023-10 | Conference paper
DOI: 10.1109/ICCVW60793.2023.00483
HAL: hal-04423169
ARXIV: 2305.13849
ARXIV: 2305.13849
Contributors: Aishwarya Venkataramanan; Assia Benbihi; Martin Laviale; Cédric Pradalier
Source: Self-asserted source
Aishwarya Venkataramanan via HAL

Integrating Visual and Semantic Similarity Using Hierarchies for Image Retrieval

2023-09-21 | Conference paper
DOI: 10.1007/978-3-031-44137-0_35
HAL: hal-04423201
ARXIV: 2308.08431
ARXIV: 2308.08431
Contributors: Aishwarya Venkataramanan; Martin Laviale; Cédric Pradalier
Source: Self-asserted source
Aishwarya Venkataramanan via HAL
grade
Preferred source (of 2)‎

Reconnaissance automatique des diatomées : évaluation de l’influence des erreurs d’identification sur l’IBD et de l’état écologique des cours d’eau. Exemple du bassin Rhin-Meuse

2023-09-12 | Conference paper
HAL: hal-04208711
Contributors: Aishwarya Venkataramanan; Philippe Usseglio-Polatera; David Heudre; Cedric Pradalier; Martin Laviale
Source: Self-asserted source
Aishwarya Venkataramanan via HAL

The new University of Duisburg-Essen diatom digital image training data set (UDE did it v1.0)

2023-08-28 | Other
HAL: hal-04187561
Contributors: Michael Kloster; Andrea Burfeid-Castellanos; Danijela Vidacović; Ntambwe Albert Serge Mayombo; Mimoza Dani; Aishwarya Venkataramanan; Cedric Pradalier; Martin Laviale; Bánk Beszteri
Source: Self-asserted source
Aishwarya Venkataramanan via HAL

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

Engineering Applications of Artificial Intelligence
2023-01 | Journal article
DOI: 10.1016/j.engappai.2022.105594
Contributors: Aishwarya Venkataramanan; Pierre Faure-Giovagnoli; Cyril Regan; David Heudre; Cécile Figus; Philippe Usseglio-Polatera; Cédric Pradalier; Martin Laviale
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

A data driven approach to generate realistic 3D tree barks

Graphical Models
2022-09 | Journal article
DOI: 10.1016/j.gmod.2022.101166
Contributors: Aishwarya Venkataramanan; Antoine Richard; Cédric Pradalier
Source: check_circle
Crossref

Effet des pesticides sur la morphologie des diatomées benthiques d'eau douce : le cas du glyphosate

2022-06-30 | Other
HAL: hal-03718531
Contributors: Sarah Chéron; Aishwarya Venkataramanan; Clara Martinez; Huyên Phong Hamon; David Heudre; Cédric Pradalier; Philippe Usseglio-Polatera; Simon Devin; Vincent Felten; Martin Laviale
Source: Self-asserted source
Aishwarya Venkataramanan via HAL

Link between glyphosate exposure and teratological forms in freshwater benthic diatoms

2022-05-15 | Other
HAL: hal-03718551
Contributors: Sarah Chéron; Vincent Felten; David Heudre; Aishwarya Venkataramanan; Simon Devin; Martin Laviale
Source: Self-asserted source
Aishwarya Venkataramanan via HAL

Tackling inter-class similarity and intra-class variance for microscopic image-based classification

2021-09-19 | Conference paper
DOI: 10.1007/978-3-030-87156-7_8
DOI: 10.1007/978-3-030-87156-7_8
HAL: hal-03341742
Contributors: Aishwarya Venkataramanan; Martin Laviale; Cécile Figus; Philippe Usseglio-Polatera; Cedric Pradalier
Source: Self-asserted source
Aishwarya Venkataramanan via HAL
grade
Preferred source (of 2)‎

Utilisation d’images microscopiques artificielles en complément d’images réelles pour la détection automatique de diatomées par apprentissage profond

2020-11-16 | Other
HAL: hal-02995246
Contributors: Pierre Faure-Giovagnoli; Aishwarya Venkataramanan; David Heudre; Thibault de Garidel-Thoron; Philippe Usseglio-Polatera; Cedric Pradalier; Martin Laviale
Source: Self-asserted source
Aishwarya Venkataramanan via HAL

Classification automatique des diatomées par apprentissage profond pour l’amélioration du diagnostic écologique des milieux aquatiques

2020-11-03 | Other
HAL: hal-02961595
Contributors: Pierre Faure-Giovagnoli; Aishwarya Venkataramanan; Cécile Figus; David Heudre; Thibault de Garidel-Thoron; Camille Noûs; Philippe Usseglio-Polatera; C. Pradalier; Martin Laviale
Source: Self-asserted source
Aishwarya Venkataramanan via HAL

Peer review (2 reviews for 1 publication/grant)

Review activity for Engineering applications of artificial intelligence. (2)
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