Mariana-Iuliana Georgescu

Orcid: 0000-0001-8277-1340

According to our database1, Mariana-Iuliana Georgescu authored at least 26 papers between 2019 and 2023.

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

Timeline

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Bibliography

2023
Nonlinear neurons with human-like apical dendrite activations.
Appl. Intell., November, 2023

CyTran: A cycle-consistent transformer with multi-level consistency for non-contrast to contrast CT translation.
Neurocomputing, June, 2023

SSMTL++: Revisiting self-supervised multi-task learning for video anomaly detection.
Comput. Vis. Image Underst., March, 2023

Sea-Land-Cloud Segmentation in Satellite Hyperspectral Imagery by Deep Learning.
CoRR, 2023

Learning Using Generated Privileged Information by Text-to-Image Diffusion Models.
CoRR, 2023

Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Diversity-Promoting Ensemble for Medical Image Segmentation.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Masked Autoencoders for Unsupervised Anomaly Detection in Medical Images.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Audiovisual Masked Autoencoders.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
A Background-Agnostic Framework With Adversarial Training for Abnormal Event Detection in Video.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Teacher-student training and triplet loss to reduce the effect of drastic face occlusion.
Mach. Vis. Appl., 2022

Feature-Level Augmentation to Improve Robustness of Deep Neural Networks to Affine Transformations.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
CyTran: Cycle-Consistent Transformers for Non-Contrast to Contrast CT Translation.
CoRR, 2021

SuPEr - SAM: Using the Supervision Signal from a Pose Estimator to Train a Spatial Attention Module for Personal Protective Equipment Recognition.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

A realistic approach to generate masked faces applied on two novel masked face recognition data sets.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Contextual Convolutional Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Anomaly Detection in Video via Self-Supervised and Multi-Task Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
A Scene-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video.
CoRR, 2020

Non-linear Neurons with Human-like Apical Dendrite Activations.
CoRR, 2020

Convolutional Neural Networks With Intermediate Loss for 3D Super-Resolution of CT and MRI Scans.
IEEE Access, 2020

Teacher-Student Training and Triplet Loss for Facial Expression Recognition under Occlusion.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Local Learning With Deep and Handcrafted Features for Facial Expression Recognition.
IEEE Access, 2019

Recognizing Facial Expressions of Occluded Faces Using Convolutional Neural Networks.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Clustering Images by Unmasking - A New Baseline.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


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