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ORCIDRadu Tudor Ionescu
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- affiliation: University of Bucharest, Department of Computer Science, Romania
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2020 – today
- 2022
[j19]Petru Soviany, Radu Tudor Ionescu
, Paolo Rota, Nicu Sebe:
Curriculum Learning: A Survey. Int. J. Comput. Vis. 130(6): 1526-1565 (2022)- [j18]Mihaela Gaman, Radu Tudor Ionescu:
The unreasonable effectiveness of machine learning in Moldavian versus Romanian dialect identification. Int. J. Intell. Syst. 37(8): 4928-4966 (2022) - [j17]Ismat Ara Reshma, Camille Franchet, Margot Gaspard, Radu Tudor Ionescu, Josiane Mothe, Sylvain Cussat-Blanc, Hervé Luga, Pierre Brousset:
Finding a Suitable Class Distribution for Building Histological Images Datasets Used in Deep Model Training - The Case of Cancer Detection. J. Digit. Imaging 35(5): 1326-1349 (2022) - [j16]Mariana-Iuliana Georgescu, Georgian-Emilian Duta, Radu Tudor Ionescu:
Teacher-student training and triplet loss to reduce the effect of drastic face occlusion. Mach. Vis. Appl. 33(1): 12 (2022) - [j15]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah:
A Background-Agnostic Framework With Adversarial Training for Abnormal Event Detection in Video. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4505-4523 (2022) - [c78]Ismat Ara Reshma, Josiane Mothe, Sylvain Cussat-Blanc, Hervé Luga, Camille Franchet, Margot Gaspard, Pierre Brousset, Radu Tudor Ionescu:
A Study on the Impact of Class Distribution on Deep Learning - The Case of Histological Images and Cancer Detection - Extended Abstract. CIRCLE 2022 - [c77]Florinel-Alin Croitoru, Diana-Nicoleta Grigore, Radu Tudor Ionescu:
Discriminability-enforcing loss to improve representation learning. CVPR Workshops 2022: 2597-2601 - [c76]Nicolae-Catalin Ristea, Neelu Madan, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection. CVPR 2022: 13566-13576 - [c75]Andra Acsintoae, Andrei Florescu, Mariana-Iuliana Georgescu, Tudor Mare, Paul Sumedrea, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah:
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection. CVPR 2022: 20111-20121 - [c74]Nicolae-Catalin Ristea, Radu Tudor Ionescu, Fahad Shahbaz Khan:
SepTr: Separable Transformer for Audio Spectrogram Processing. INTERSPEECH 2022: 4103-4107 - [i72]Mihaela Gaman, Lida Ghadamiyan, Radu Tudor Ionescu, Marius Popescu:
Self-paced learning to improve text row detection in historical documents with missing lables. CoRR abs/2201.12216 (2022) - [i71]Adrian Sandru, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Feature-level augmentation to improve robustness of deep neural networks to affine transformations. CoRR abs/2202.05152 (2022) - [i70]Florinel-Alin Croitoru, Diana-Nicoleta Grigore, Radu Tudor Ionescu:
Discriminability-enforcing loss to improve representation learning. CoRR abs/2202.07073 (2022) - [i69]Nicolae-Catalin Ristea, Radu Tudor Ionescu, Fahad Shahbaz Khan:
SepTr: Separable Transformer for Audio Spectrogram Processing. CoRR abs/2203.09581 (2022) - [i68]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron, Olivian Savencu, Nicolae-Catalin Ristea, Nicolae Verga, Fahad Shahbaz Khan:
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution. CoRR abs/2204.04218 (2022) - [i67]Florinel-Alin Croitoru, Nicolae-Catalin Ristea, Radu Tudor Ionescu, Nicu Sebe:
LeRaC: Learning Rate Curriculum. CoRR abs/2205.09180 (2022) - [i66]Andrei Manolache, Florin Brad, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu:
VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web. CoRR abs/2207.03477 (2022) - [i65]Antonio Barbalau, Radu Tudor Ionescu, Mariana-Iuliana Georgescu, Jacob V. Dueholm, Bharathkumar Ramachandra, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection. CoRR abs/2207.08003 (2022) - [i64]Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah:
Diffusion Models in Vision: A Survey. CoRR abs/2209.04747 (2022) - [i63]Neelu Madan, Nicolae-Catalin Ristea, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection. CoRR abs/2209.12148 (2022) - [i62]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron:
Diversity-Promoting Ensemble for Medical Image Segmentation. CoRR abs/2210.12388 (2022) - [i61]Nicolae-Catalin Ristea, Florinel-Alin Croitoru, Dana Dascalescu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah:
Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation. CoRR abs/2211.15597 (2022) - [i60]Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab:
Audiovisual Masked Autoencoders. CoRR abs/2212.05922 (2022) - [i59]Mihaela Gaman, Adrian-Gabriel Chifu, William Domingues, Radu Tudor Ionescu:
FreCDo: A Large Corpus for French Cross-Domain Dialect Identification. CoRR abs/2212.07707 (2022) - 2021
- [j14]Nicolae-Catalin Ristea, Andrei Anghel, Radu Tudor Ionescu:
Estimating the Magnitude and Phase of Automotive Radar Signals Under Multiple Interference Sources With Fully Convolutional Networks. IEEE Access 9: 153491-153507 (2021) - [j13]Petru Soviany, Radu Tudor Ionescu, Paolo Rota, Nicu Sebe:
Curriculum self-paced learning for cross-domain object detection. Comput. Vis. Image Underst. 204: 103166 (2021) - [c73]Ana-Cristina Rogoz, Mihaela Gaman, Radu Tudor Ionescu:
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles. ACL/IJCNLP (2) 2021: 1073-1079 - [c72]Nicolae-Catalin Ristea, Andrei Anghel, Radu Tudor Ionescu, Yonina C. Eldar:
Automotive Radar Interference Mitigation With Unfolded Robust PCA Based on Residual Overcomplete Auto-Encoder Blocks. CVPR Workshops 2021: 3209-3214 - [c71]Mariana-Iuliana Georgescu, Antonio Barbalau, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah:
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning. CVPR 2021: 12742-12752 - [c70]Anca Maria Tache, Mihaela Gaman, Radu Tudor Ionescu:
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set. EACL 2021: 949-956 - [c69]Ionut Cosmin Duta, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Contextual Convolutional Neural Networks. ICCVW 2021: 403-412 - [c68]Mihail Burduja, Radu Tudor Ionescu:
Unsupervised Medical Image Alignment With Curriculum Learning. ICIP 2021: 3787-3791 - [c67]Radu Tudor Ionescu, Adrian-Gabriel Chifu:
FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection. IJCNN 2021: 1-8 - [c66]Nicolae-Catalin Ristea, Radu Tudor Ionescu:
Self-Paced Ensemble Learning for Speech and Audio Classification. Interspeech 2021: 2836-2840 - [c65]Stefan Daniel Dumitrescu, Petru Rebeja, Beáta Lorincz, Mihaela Gaman, Andrei-Marius Avram, Mihai Ilie, Andrei Pruteanu, Adriana Stan, Lorena Rosia, Cristina Iacobescu, Luciana Morogan, George Dima, Gabriel Marchidan, Traian Rebedea, Madalina Chitez, Dani Yogatama, Sebastian Ruder, Radu Tudor Ionescu, Razvan Pascanu, Viorica Patraucean:
LiRo: Benchmark and leaderboard for Romanian language tasks. NeurIPS Datasets and Benchmarks 2021 - [c64]Tudor Mare, Georgian-Emilian Duta, Mariana-Iuliana Georgescu, Adrian Sandru, Bogdan Alexe, Marius Popescu, Radu Tudor Ionescu:
A realistic approach to generate masked faces applied on two novel masked face recognition data sets. NeurIPS Datasets and Benchmarks 2021 - [c63]Ismat Ara Reshma, Sylvain Cussat-Blanc, Radu Tudor Ionescu, Hervé Luga, Josiane Mothe:
Natural vs balanced distribution in deep learning on whole slide images for cancer detection. SAC 2021: 18-25 - [c62]Bharathi Raja Chakravarthi, Mihaela Gaman, Radu Tudor Ionescu, Heidi Jauhiainen, Tommi Jauhiainen, Krister Lindén, Nikola Ljubesic, Niko Partanen, Ruba Priyadharshini, Christoph Purschke, Rajagopal Eswari, Yves Scherrer, Marcos Zampieri:
Findings of the VarDial Evaluation Campaign 2021. VarDial@EACL 2021: 1-11 - [c61]Mihaela Gaman, Sebastian Cojocariu, Radu Tudor Ionescu:
UnibucKernel: Geolocating Swiss German Jodels Using Ensemble Learning. VarDial@EACL 2021: 84-95 - [c60]Adrian Sandru, Georgian-Emilian Duta, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
SuPEr - SAM: Using the Supervision Signal from a Pose Estimator to Train a Spatial Attention Module for Personal Protective Equipment Recognition. WACV 2021: 2816-2825 - [i58]Anca Maria Tache, Mihaela Gaman, Radu Tudor Ionescu:
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set. CoRR abs/2101.04197 (2021) - [i57]Petru Soviany, Radu Tudor Ionescu, Paolo Rota, Nicu Sebe:
Curriculum Learning: A Survey. CoRR abs/2101.10382 (2021) - [i56]Mihaela Gaman, Sebastian Cojocariu, Radu Tudor Ionescu:
UnibucKernel: Geolocating Swiss-German Jodels Using Ensemble Learning. CoRR abs/2102.09379 (2021) - [i55]Mihail Burduja, Radu Tudor Ionescu:
Unsupervised Medical Image Alignment with Curriculum Learning. CoRR abs/2102.10438 (2021) - [i54]Nicolae-Catalin Ristea, Radu Tudor Ionescu:
Self-paced ensemble learning for speech and audio classification. CoRR abs/2103.11988 (2021) - [i53]Radu Tudor Ionescu, Adrian-Gabriel Chifu:
FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection. CoRR abs/2104.04828 (2021) - [i52]Ana-Cristina Rogoz, Mihaela Gaman, Radu Tudor Ionescu:
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles. CoRR abs/2105.06456 (2021) - [i51]Cezara Benegui, Radu Tudor Ionescu:
Improving the Authentication with Built-in Camera Protocol Using Built-in Motion Sensors: A Deep Learning Solution. CoRR abs/2107.10536 (2021) - [i50]Ionut Cosmin Duta, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Contextual Convolutional Neural Networks. CoRR abs/2108.07387 (2021) - [i49]Tudor Mare, Georgian-Emilian Duta, Mariana-Iuliana Georgescu, Adrian Sandru, Bogdan Alexe, Marius Popescu, Radu Tudor Ionescu:
A realistic approach to generate masked faces applied on two novel masked face recognition data sets. CoRR abs/2109.01745 (2021) - [i48]Nicolae-Catalin Ristea, Andreea-Iuliana Miron, Olivian Savencu, Mariana-Iuliana Georgescu, Nicolae Verga, Fahad Shahbaz Khan, Radu Tudor Ionescu:
CyTran: Cycle-Consistent Transformers for Non-Contrast to Contrast CT Translation. CoRR abs/2110.06400 (2021) - [i47]Andra Acsintoae, Andrei Florescu, Mariana-Iuliana Georgescu, Tudor Mare, Paul Sumedrea, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah:
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection. CoRR abs/2111.08644 (2021) - [i46]Nicolae-Catalin Ristea, Neelu Madan, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection. CoRR abs/2111.09099 (2021) - [i45]Mariana-Iuliana Georgescu, Georgian-Emilian Duta, Radu Tudor Ionescu:
Teacher-Student Training and Triplet Loss to Reduce the Effect of Drastic Face Occlusion. CoRR abs/2111.10561 (2021) - [i44]Andrei Manolache, Florin Brad, Elena Burceanu, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu:
Transferring BERT-like Transformers' Knowledge for Authorship Verification. CoRR abs/2112.05125 (2021) - 2020
- [j12]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Nicolae Verga:
Convolutional Neural Networks With Intermediate Loss for 3D Super-Resolution of CT and MRI Scans. IEEE Access 8: 49112-49124 (2020) - [j11]Cezara Benegui, Radu Tudor Ionescu:
Convolutional Neural Networks for User Identification Based on Motion Sensors Represented as Images. IEEE Access 8: 61255-61266 (2020) - [j10]Mihail Burduja, Radu Tudor Ionescu, Nicolae Verga:
Accurate and Efficient Intracranial Hemorrhage Detection and Subtype Classification in 3D CT Scans with Convolutional and Long Short-Term Memory Neural Networks. Sensors 20(19): 5611 (2020) - [c59]Cezara Benegui, Radu Tudor Ionescu:
A Breach into the Authentication with Built-in Camera (ABC) Protocol. ACNS (2) 2020: 3-20 - [c58]Cezara Benegui, Radu Tudor Ionescu:
Adversarial Attacks on Deep Learning Systems for User Identification Based on Motion Sensors. ICONIP (5) 2020: 752-761 - [c57]Cezara Benegui, Radu Tudor Ionescu:
To Augment or Not to Augment? Data Augmentation in User Identification Based on Motion Sensors. ICONIP (5) 2020: 822-831 - [c56]Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Teacher-Student Training and Triplet Loss for Facial Expression Recognition under Occlusion. ICPR 2020: 2288-2295 - [c55]Nicolae-Catalin Ristea, Radu Tudor Ionescu:
Are you Wearing a Mask? Improving Mask Detection from Speech Using Augmentation by Cycle-Consistent GANs. INTERSPEECH 2020: 2102-2106 - [c54]Antonio Barbalau, Adrian Cosma, Radu Tudor Ionescu, Marius Popescu:
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms. NeurIPS 2020 - [c53]Antonio Barbalau, Adrian Cosma, Radu Tudor Ionescu, Marius Popescu:
A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI. ECML/PKDD (2) 2020: 190-205 - [c52]Sébastien Déjean, Radu Tudor Ionescu, Josiane Mothe, Md Zia Ullah:
Forward and backward feature selection for query performance prediction. SAC 2020: 690-697 - [c51]Mihaela Gaman, Dirk Hovy, Radu Tudor Ionescu, Heidi Jauhiainen, Tommi Jauhiainen, Krister Lindén, Nikola Ljubesic, Niko Partanen, Christoph Purschke, Yves Scherrer, Marcos Zampieri:
A Report on the VarDial Evaluation Campaign 2020. VarDial@COLING 2020: 1-14 - [c50]Mihaela Gaman, Radu Tudor Ionescu:
Combining Deep Learning and String Kernels for the Localization of Swiss German Tweets. VarDial@COLING 2020: 242-253 - [c49]Nicolae-Catalin Ristea, Andrei Anghel, Radu Tudor Ionescu:
Fully Convolutional Neural Networks for Automotive Radar Interference Mitigation. VTC Fall 2020: 1-5 - [c48]Petru Soviany, Claudiu Ardei, Radu Tudor Ionescu, Marius Leordeanu:
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN). WACV 2020: 3452-3461 - [i43]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Nicolae Verga:
Convolutional Neural Networks with Intermediate Loss for 3D Super-Resolution of CT and MRI Scans. CoRR abs/2001.01330 (2020) - [i42]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Nicolae-Catalin Ristea, Nicu Sebe:
Non-linear Neurons with Human-like Apical Dendrite Activations. CoRR abs/2003.03229 (2020) - [i41]Antonio Barbalau, Adrian Cosma, Radu Tudor Ionescu, Marius Popescu:
A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI. CoRR abs/2006.03896 (2020) - [i40]Nicolae-Catalin Ristea, Radu Tudor Ionescu:
Are you wearing a mask? Improving mask detection from speech using augmentation by cycle-consistent GANs. CoRR abs/2006.10147 (2020) - [i39]Mihaela Gaman, Radu Tudor Ionescu:
The Unreasonable Effectiveness of Machine Learning in Moldavian versus Romanian Dialect Identification. CoRR abs/2007.15700 (2020) - [i38]Mihail Burduja, Radu Tudor Ionescu, Nicolae Verga:
Accurate and Efficient Intracranial Hemorrhage Detection and Subtype Classification in 3D CT Scans with Convolutional and Long Short-Term Memory Neural Networks. CoRR abs/2008.00302 (2020) - [i37]Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Teacher-Student Training and Triplet Loss for Facial Expression Recognition under Occlusion. CoRR abs/2008.01003 (2020) - [i36]Nicolae-Catalin Ristea, Andrei Anghel, Radu Tudor Ionescu:
Estimating Magnitude and Phase of Automotive Radar Signals under Multiple Interference Sources with Fully Convolutional Networks. CoRR abs/2008.05948 (2020) - [i35]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah:
A Scene-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video. CoRR abs/2008.12328 (2020) - [i34]Cezara Benegui, Radu Tudor Ionescu:
To augment or not to augment? Data augmentation in user identification based on motion sensors. CoRR abs/2009.00300 (2020) - [i33]Cezara Benegui, Radu Tudor Ionescu:
Adversarial Attacks on Deep Learning Systems for User Identification based on Motion Sensors. CoRR abs/2009.01109 (2020) - [i32]Adrian Sandru, Georgian-Emilian Duta, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
SuPEr-SAM: Using the Supervision Signal from a Pose Estimator to Train a Spatial Attention Module for Personal Protective Equipment Recognition. CoRR abs/2009.12339 (2020) - [i31]Mihaela Gaman, Radu Tudor Ionescu:
Combining Deep Learning and String Kernels for the Localization of Swiss German Tweets. CoRR abs/2010.03614 (2020) - [i30]Nicolae-Catalin Ristea, Andrei Anghel, Radu Tudor Ionescu, Yonina C. Eldar:
Automotive Radar Interference Mitigation with Unfolded Robust PCA based on Residual Overcomplete Auto-Encoder Blocks. CoRR abs/2010.10357 (2020) - [i29]Antonio Barbalau, Adrian Cosma, Radu Tudor Ionescu, Marius Popescu:
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms. CoRR abs/2010.11158 (2020) - [i28]Mariana-Iuliana Georgescu, Antonio Barbalau, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah:
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning. CoRR abs/2011.07491 (2020) - [i27]Ismat Ara Reshma, Sylvain Cussat-Blanc, Radu Tudor Ionescu, Hervé Luga, Josiane Mothe:
Natural vs Balanced Distribution in Deep Learning on Whole Slide Images for Cancer Detection. CoRR abs/2012.11684 (2020)
2010 – 2019
- 2019
- [j9]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Marius Popescu:
Local Learning With Deep and Handcrafted Features for Facial Expression Recognition. IEEE Access 7: 64827-64836 (2019) - [j8]Andrei M. Butnaru, Radu Tudor Ionescu:
ShotgunWSD 2.0: An Improved Algorithm for Global Word Sense Disambiguation. IEEE Access 7: 120961-120975 (2019) - [c47]Andrei M. Butnaru, Radu Tudor Ionescu:
MOROCO: The Moldavian and Romanian Dialectal Corpus. ACL (1) 2019: 688-698 - [c46]Radu Tudor Ionescu, Fahad Shahbaz Khan, Mariana-Iuliana Georgescu, Ling Shao:
Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video. CVPR 2019: 7842-7851 - [c45]Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Clustering Images by Unmasking - A New Baseline. ICIP 2019: 1580-1584 - [c44]Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Recognizing Facial Expressions of Occluded Faces Using Convolutional Neural Networks. ICONIP (4) 2019: 645-653 - [c43]Radu Tudor Ionescu, Andrei M. Butnaru:
Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation. NAACL-HLT (1) 2019: 363-369 - [c42]Radu Tudor Ionescu, Sorina Smeureanu, Marius Popescu, Bogdan Alexe:
Detecting Abnormal Events in Video Using Narrowed Normality Clusters. WACV 2019: 1951-1960 - [i26]Andrei M. Butnaru, Radu Tudor Ionescu:
MOROCO: The Moldavian and Romanian Dialectal Corpus. CoRR abs/1901.06543 (2019) - [i25]Radu Tudor Ionescu, Andrei M. Butnaru:
Vector of Locally-Aggregated Word Embeddings (VLAWE): A novel document-level embedding. CoRR abs/1902.08850 (2019) - [i24]Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Clustering Images by Unmasking - A New Baseline. CoRR abs/1905.00773 (2019) - [i23]Petru Soviany, Claudiu Ardei, Radu Tudor Ionescu, Marius Leordeanu:
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN). CoRR abs/1910.08967 (2019) - [i22]Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Recognizing Facial Expressions of Occluded Faces using Convolutional Neural Networks. CoRR abs/1911.04852 (2019) - [i21]Petru Soviany, Radu Tudor Ionescu, Paolo Rota, Nicu Sebe:
Curriculum Self-Paced Learning for Cross-Domain Object Detection. CoRR abs/1911.06849 (2019) - [i20]Cezara Benegui, Radu Tudor Ionescu:
A Convolutional Neural Network for User Identification based on Motion Sensors. CoRR abs/1912.03760 (2019) - [i19]Sébastien Déjean, Radu Tudor Ionescu, Josiane Mothe, Md Zia Ullah:
Forward and Backward Feature Selection for Query Performance Prediction. CoRR abs/1912.04107 (2019) - 2018
- [j7]Radu Tudor Ionescu, Andreea Lavinia Ionescu, Josiane Mothe, Dan Popescu:
Patch Autocorrelation Features: a translation and rotation invariant approach for image classification. Artif. Intell. Rev. 49(4): 549-580 (2018) - [c41]Madalina Cozma, Andrei M. Butnaru, Radu Tudor Ionescu:
Automated essay scoring with string kernels and word embeddings. ACL (2) 2018: 503-509 - [c40]Andrei M. Butnaru, Radu Tudor Ionescu:
UnibucKernel: A kernel-based learning method for complex word identification. BEA@NAACL-HLT 2018: 175-183 - [c39]Petru Soviany, Radu Tudor Ionescu:
Frustratingly Easy Trade-off Optimization Between Single-Stage and Two-Stage Deep Object Detectors. ECCV Workshops (4) 2018: 366-378 - [c38]Radu Tudor Ionescu, Andrei M. Butnaru:
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set. EMNLP 2018: 1084-1090 - [c37]Sorina Smeureanu, Radu Tudor Ionescu:
Real-Time Deep Learning Method for Abandoned Luggage Detection in Video. EUSIPCO 2018: 1775-1779 - [c36]Paul Andrei Bricman, Radu Tudor Ionescu:
CocoNet: A Deep Neural Network for Mapping Pixel Coordinates to Color Values. ICONIP (2) 2018: 64-76 - [c35]Petru Soviany, Radu Tudor Ionescu:
Continuous Trade-off Optimization Between Fast and Accurate Deep Face Detectors. ICONIP (2) 2018: 473-485 - [c34]Radu Tudor Ionescu, Andrei Madalin Butnaru:
Transductive Learning with String Kernels for Cross-Domain Text Classification. ICONIP (3) 2018: 484-496 - [c33]Petru Soviany, Radu Tudor Ionescu:
Optimizing the Trade-Off between Single-Stage and Two-Stage Deep Object Detectors using Image Difficulty Prediction. SYNASC 2018: 209-214 - [c32]Andrei M. Butnaru, Radu Tudor Ionescu:
UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a Row. VarDial@COLING 2018 2018: 77-87 - [i18]Radu Tudor Ionescu, Sorina Smeureanu, Marius Popescu, Bogdan Alexe:
Detecting abnormal events in video using Narrowed Motion Clusters. CoRR abs/1801.05030 (2018) - [i17]Sorina Smeureanu, Radu Tudor Ionescu:
Real-Time Deep Learning Method for Abandoned Luggage Detection in Video. CoRR abs/1803.01160 (2018) - [i16]Andrei M. Butnaru, Radu Tudor Ionescu:
UnibucKernel: A kernel-based learning method for complex word identification. CoRR abs/1803.07602 (2018) - [i15]