| Tackling inter-class similarity and intra-class variance for microscopic image-based classification A Venkataramanan, M Laviale, C Figus, P Usseglio-Polatera, C Pradalier International conference on computer vision systems, 93-103, 2021 | 21 | 2021 |
| Usefulness of synthetic datasets for diatom automatic detection using a deep-learning approach A Venkataramanan, P Faure-Giovagnoli, C Regan, D Heudre, C Figus, ... Engineering Applications of Artificial Intelligence 117, 105594, 2023 | 9 | 2023 |
| Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers A Venkataramanan, A Benbihi, M Laviale, C Pradalier Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3* | 2023 |
| Integrating Visual and Semantic Similarity Using Hierarchies for Image Retrieval A Venkataramanan, M Laviale, C Pradalier International Conference on Computer Vision Systems, 422-431, 2023 | | 2023 |
| A data driven approach to generate realistic 3D tree barks A Venkataramanan, A Richard, C Pradalier Graphical Models 123, 101166, 2022 | | 2022 |
| Generation of realistic tree barks using deep learning A Venkataramanan Georgia Institute of Technology, 2020 | | 2020 |
Prof. Cédric PradalierGeorgiaTech Lorraine, UMI2958 GT-CNRS, MetzVerified email at georgiatech-metz.fr
