Andrei Stoian

Orcid: 0000-0002-3479-9565

According to our database1, Andrei Stoian authored at least 28 papers between 2012 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Neural Network Training on Encrypted Data with TFHE.
CoRR, 2024

Machine Learning Training on Encrypted Data with TFHE.
Proceedings of the 10th ACM International Workshop on Security and Privacy Analytics, 2024

2023
Deep Neural Networks for Encrypted Inference with TFHE.
IACR Cryptol. ePrint Arch., 2023

Privacy-Preserving Tree-Based Inference with Fully Homomorphic Encryption.
IACR Cryptol. ePrint Arch., 2023

Privacy-Preserving Tree-Based Inference with TFHE.
Proceedings of the Mobile, Secure, and Programmable Networking, 2023

2021
Ship Detection in Sentinel 2 Multi-Spectral Images with Self-Supervised Learning.
Remote. Sens., 2021

List-wise learning-to-rank with convolutional neural networks for person re-identification.
Mach. Vis. Appl., 2021

Active learning for interactive satellite image change detection.
CoRR, 2021

Frugal Learning for Interactive Satellite Image Change Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges.
Inf. Fusion, 2020

2019
Land Cover Maps Production with High Resolution Satellite Image Time Series and Convolutional Neural Networks: Adaptations and Limits for Operational Systems.
Remote. Sens., 2019

Regularization Shortcomings for Continual Learning.
CoRR, 2019

Continual Learning for Robotics.
CoRR, 2019

Generative Models from the perspective of Continual Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Training Discriminative Models to Evaluate Generative Ones.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Marginal Replay vs Conditional Replay for Continual Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

2018
Deep and low-level feature based attribute learning for person re-identification.
Image Vis. Comput., 2018

Pedestrian Attribute Recognition with Part-based CNN and Combined Feature Representations.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Similarity Learning with Listwise Ranking for Person Re-Identification.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Person Re-identification Using Group Context.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2018

Person Re-Identification with a Body Orientation-Specific Convolutional Neural Network.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2018

2017
Triplet CNN and pedestrian attribute recognition for improved person re-identification.
Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

2016
Scalable action detection in video collections. (Détection scalable d'actions dans des collections vidéo).
PhD thesis, 2016

Fast Action Localization in Large-Scale Video Archives.
IEEE Trans. Circuits Syst. Video Technol., 2016

A scalable summary generation method based on cross-modal consensus clustering and OLAP cube modeling.
Multim. Tools Appl., 2016

2015
Scalable action localization with kernel-space hashing.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

The Mex-Culture Multimedia platform: Preservation and dissemination of the Mexican Culture.
Proceedings of the 13th International Workshop on Content-Based Multimedia Indexing, 2015

2012


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