| Object-centric auto-encoders and dummy anomalies for abnormal event detection in video RT Ionescu, FS Khan, MI Georgescu, L Shao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 389 | 2019 |
| Local learning with deep and handcrafted features for facial expression recognition MI Georgescu, RT Ionescu, M Popescu IEEE Access 7, 64827-64836, 2019 | 318 | 2019 |
| Anomaly detection in video via self-supervised and multi-task learning MI Georgescu, A Barbalau, RT Ionescu, FS Khan, M Popescu, M Shah Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 275 | 2021 |
| A background-agnostic framework with adversarial training for abnormal event detection in video MI Georgescu, RT Ionescu, FS Khan, M Popescu, M Shah IEEE transactions on pattern analysis and machine intelligence 44 (9), 4505-4523, 2021 | 134 | 2021 |
| Ubnormal: New benchmark for supervised open-set video anomaly detection A Acsintoae, A Florescu, MI Georgescu, T Mare, P Sumedrea, RT Ionescu, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 99 | 2022 |
| Convolutional neural networks with intermediate loss for 3D super-resolution of CT and MRI scans MI Georgescu, RT Ionescu, N Verga IEEE Access 8, 49112-49124, 2020 | 63 | 2020 |
| Multimodal multi-head convolutional attention with various kernel sizes for medical image super-resolution MI Georgescu, RT Ionescu, AI Miron, O Savencu, NC Ristea, N Verga, ... Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023 | 47 | 2023 |
| SSMTL++: Revisiting self-supervised multi-task learning for video anomaly detection A Barbalau, RT Ionescu, MI Georgescu, J Dueholm, B Ramachandra, ... Computer Vision and Image Understanding 229, 103656, 2023 | 46 | 2023 |
| CyTran: a cycle-consistent transformer with multi-level consistency for non-contrast to contrast CT translation NC Ristea, AI Miron, O Savencu, MI Georgescu, N Verga, FS Khan, ... Neurocomputing 538, 126211, 2023 | 36* | 2023 |
| Audiovisual masked autoencoders MI Georgescu, E Fonseca, RT Ionescu, M Lucic, C Schmid, A Arnab Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 30 | 2023 |
| Teacher-student training and triplet loss for facial expression recognition under occlusion MI Georgescu, RT Ionescu 2020 25th International Conference on Pattern Recognition (ICPR), 2288-2295, 2021 | 26 | 2021 |
| Recognizing facial expressions of occluded faces using convolutional neural networks MI Georgescu, RT Ionescu Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | 24 | 2019 |
| Nonlinear neurons with human-like apical dendrite activations MI Georgescu, RT Ionescu, NC Ristea, N Sebe Applied Intelligence 53 (21), 25984-26007, 2023 | 19 | 2023 |
| A realistic approach to generate masked faces applied on two novel masked face recognition data sets T Mare, G Duta, MI Georgescu, A Sandru, B Alexe, M Popescu, ... NeurIPS 2021 Datasets and Benchmarks Track (Round 2), 2021 | 17 | 2021 |
| Teacher–student training and triplet loss to reduce the effect of drastic face occlusion: Application to emotion recognition, gender identification and age estimation MI Georgescu, GE Duţǎ, RT Ionescu Machine Vision and Applications 33 (1), 12, 2022 | 16 | 2022 |
| Diversity-promoting ensemble for medical image segmentation MI Georgescu, RT Ionescu, AI Miron Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 599-606, 2023 | 12 | 2023 |
| Contextual convolutional neural networks IC Duta, MI Georgescu, RT Ionescu Proceedings of the IEEE/CVF International Conference on Computer Vision, 403-412, 2021 | 7 | 2021 |
| System and method for automatic detection and recognition of people wearing personal protective equipment using deep learning RT Ionescu, MI Georgescu, A Şandru, GE Duţă US Patent 11,482,030, 2022 | 3 | 2022 |
| Sea-Land-Cloud Segmentation in Satellite Hyperspectral Imagery by Deep Learning JA Justo, JL Garrett, MI Georgescu, J Gonzalez-Llorente, RT Ionescu, ... arXiv preprint arXiv:2310.16210, 2023 | 2 | 2023 |
| SuPEr-SAM: using the supervision signal from a pose estimator to train a spatial attention module for personal protective equipment recognition A Sandru, GE Duta, MI Georgescu, RT Ionescu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 2 | 2021 |
Radu Tudor IonescuProfessor, University of Bucharest, Romania在 fmi.unibuc.ro 的电子邮件经过验证
