A Genetic Approximation of Closest String via Rank Distance. - Liviu Petrisor Dinu; Radu Tudor Ionescu (SYNASC, 2011)

Clustering Based on Rank Distance with Applications on DNA. - Liviu Petrisor Dinu; Radu Tudor Ionescu (ICONIP (5), 2012)

Local Patch Dissimilarity for Images. - Liviu Petrisor Dinu; Radu Tudor Ionescu; Marius Popescu (ICONIP (1), 2012)

Clustering Methods Based on Closest String via Rank Distance. - Liviu P. Dinu; Radu Tudor Ionescu (SYNASC, 2012)

A Rank-Based Approach of Cosine Similarity with Applications in Automatic Classification. - Liviu P. Dinu; Radu Tudor Ionescu (SYNASC, 2012)

Word sense disambiguation to improve precision for ambiguous queries. - Adrian-Gabriel Chifu; Radu Tudor Ionescu (Central Eur. J. Comput. Sci., 2012)

An Efficient Algorithm for Rank Distance Consensus. - Liviu P. Dinu; Radu Tudor Ionescu (AI*IA, 2013)

The Story of the Characters, the DNA and the Native Language. - Marius Popescu; Radu Tudor Ionescu (BEA@NAACL-HLT, 2013)

Efficient fractal method for texture classification. - Andreea Lavinia Popescu; Dan Popescu 002; Radu Tudor Ionescu; Nicoleta Angelescu; Romeo Cojocaru (ICSCS, 2013)

Speeding Up Local Patch Dissimilarity. - Radu Tudor Ionescu; Marius Popescu (ICIAP (1), 2013)

Kernels for Visual Words Histograms. - Radu Tudor Ionescu; Marius Popescu (ICIAP (1), 2013)

Challenges in Representation Learning: A Report on Three Machine Learning Contests. - Ian J. Goodfellow; Dumitru Erhan; Pierre Luc Carrier; Aaron C. Courville; Mehdi Mirza; Benjamin Hamner; William Cukierski; Yichuan Tang; David Thaler; Dong-Hyun Lee; Yingbo Zhou; Chetan Ramaiah; et al. (ICONIP (3), 2013)

Local Rank Distance. - Radu Tudor Ionescu (SYNASC, 2013)

Can characters reveal your native language? A language-independent approach to native language identification. - Radu Tudor Ionescu; Marius Popescu; Aoife Cahill (EMNLP, 2014)

Objectness to improve the bag of visual words model. - Radu Tudor Ionescu; Marius Popescu (ICIP, 2014)

Local Texton Dissimilarity with Applications on Biomass Classification. - Radu Tudor Ionescu; Andreea Lavinia Popescu; Dan Popescu 002; Marius Popescu (VISAPP (1), 2014)

Clustering based on median and closest string via rank distance with applications on DNA. - Liviu P. Dinu; Radu Tudor Ionescu (Neural Comput. Appl., 2014)

Have a SNAK. Encoding Spatial Information with the Spatial Non-alignment Kernel. - Radu Tudor Ionescu; Marius Popescu (ICIAP (1), 2015)

A Fast Algorithm for Local Rank Distance: Application to Arabic Native Language Identification. - Radu Tudor Ionescu (ICONIP (2), 2015)

Texture Classification with Patch Autocorrelation Features. - Radu Tudor Ionescu; Andreea Lavinia Popescu; Dan Popescu 002 (ICONIP (1), 2015)

DeShaTo: Describing the Shape of Cumulative Topic Distributions to Rank Retrieval Systems Without Relevance Judgments. - Radu Tudor Ionescu; Adrian-Gabriel Chifu; Josiane Mothe (SPIRE, 2015)

Patch Autocorrelation Features for Optical Character Recognition. - Radu Tudor Ionescu; Andreea Lavinia Popescu; Dan Popescu 002 (VISAPP (1), 2015)

BiomassID: A biomass type identification system for mobile devices. - Radu Tudor Ionescu; Andreea Lavinia Popescu; Marius Popescu; Dan Popescu 002 (Comput. Electron. Agric., 2015)

Challenges in representation learning: A report on three machine learning contests. - Ian J. Goodfellow; Dumitru Erhan; Pierre Luc Carrier; Aaron C. Courville; Mehdi Mirza; Benjamin Hamner; William Cukierski; Yichuan Tang; David Thaler; Dong-Hyun Lee; Yingbo Zhou; Chetan Ramaiah; et al. (Neural Networks, 2015)

PQ kernel: A rank correlation kernel for visual word histograms. - Radu Tudor Ionescu; Marius Popescu (Pattern Recognit. Lett., 2015)

How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image. - Radu Tudor Ionescu; Bogdan Alexe; Marius Leordeanu; Marius Popescu; Dim P. Papadopoulos; Vittorio Ferrari (CVPR, 2016)

Measuring the Local Non-alignment Between Objects: Applications to Different Domains. - Radu Tudor Ionescu (KES, 2016)

UnibucKernel: An Approach for Arabic Dialect Identification Based on Multiple String Kernels. - Radu Tudor Ionescu; Marius Popescu (VarDial@COLING, 2016)

String Kernels for Native Language Identification: Insights from Behind the Curtains. - Radu Tudor Ionescu; Marius Popescu; Aoife Cahill (Comput. Linguistics, 2016)

Knowledge Transfer between Computer Vision and Text Mining - Similarity-based Learning Approaches - Radu Tudor Ionescu; Marius Popescu (Springer, 2016)

Can string kernels pass the test of time in Native Language Identification? - Radu Tudor Ionescu; Marius Popescu (BEA@EMNLP, 2017)

ShotgunWSD: An unsupervised algorithm for global word sense disambiguation inspired by DNA sequencing. - Andrei M. Butnaru; Radu Tudor Ionescu; Florentina Hristea (EACL (1), 2017)

Local frame match distance: A novel approach for exemplar gesture recognition. - Radu Tudor Ionescu; Marius Popescu; Christopher Conly; Vassilis Athitsos (EUSIPCO, 2017)

Unmasking the Abnormal Events in Video. - Radu Tudor Ionescu; Sorina Smeureanu; Bogdan Alexe; Marius Popescu (ICCV, 2017)

Deep Appearance Features for Abnormal Behavior Detection in Video. - Sorina Smeureanu; Radu Tudor Ionescu; Marius Popescu; Bogdan Alexe (ICIAP (2), 2017)

From Image to Text Classification: A Novel Approach based on Clustering Word Embeddings. - Andrei M. Butnaru; Radu Tudor Ionescu (KES, 2017)

HASKER: An efficient algorithm for string kernels. Application to polarity classification in various languages. - Marius Popescu; Cristian Grozea; Radu Tudor Ionescu (KES, 2017)

Learning to Identify Arabic and German Dialects using Multiple Kernels. - Radu Tudor Ionescu; Andrei M. Butnaru (VarDial, 2017)

Automated essay scoring with string kernels and word embeddings. - Madalina Cozma; Andrei M. Butnaru; Radu Tudor Ionescu (ACL (2), 2018)

UnibucKernel: A kernel-based learning method for complex word identification. - Andrei M. Butnaru; Radu Tudor Ionescu (BEA@NAACL-HLT, 2018)

Frustratingly Easy Trade-off Optimization Between Single-Stage and Two-Stage Deep Object Detectors. - Petru Soviany; Radu Tudor Ionescu (ECCV Workshops (4), 2018)

Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set. - Radu Tudor Ionescu; Andrei M. Butnaru (EMNLP, 2018)

Real-Time Deep Learning Method for Abandoned Luggage Detection in Video. - Sorina Smeureanu; Radu Tudor Ionescu (EUSIPCO, 2018)

CocoNet: A Deep Neural Network for Mapping Pixel Coordinates to Color Values. - Paul Andrei Bricman; Radu Tudor Ionescu (ICONIP (2), 2018)

Transductive Learning with String Kernels for Cross-Domain Text Classification. - Radu Tudor Ionescu; Andrei Madalin Butnaru (ICONIP (3), 2018)

Continuous Trade-off Optimization Between Fast and Accurate Deep Face Detectors. - Petru Soviany; Radu Tudor Ionescu (ICONIP (2), 2018)

Optimizing the Trade-Off between Single-Stage and Two-Stage Deep Object Detectors using Image Difficulty Prediction. - Petru Soviany; Radu Tudor Ionescu (SYNASC, 2018)

UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a Row. - Andrei M. Butnaru; Radu Tudor Ionescu (VarDial@COLING 2018, 2018)

Patch Autocorrelation Features: a translation and rotation invariant approach for image classification. - Radu Tudor Ionescu; Andreea Lavinia Ionescu; Josiane Mothe; Dan Popescu 002 (Artif. Intell. Rev., 2018)

Detecting abnormal events in video using Narrowed Motion Clusters. - Radu Tudor Ionescu; Sorina Smeureanu; Marius Popescu; Bogdan Alexe (CoRR, 2018)

Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction. - Petru Soviany; Radu Tudor Ionescu (CoRR, 2018)

MOROCO: The Moldavian and Romanian Dialectal Corpus. - Andrei M. Butnaru; Radu Tudor Ionescu (ACL (1), 2019)

Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video. - Radu Tudor Ionescu; Fahad Shahbaz Khan; Mariana-Iuliana Georgescu; Ling Shao 001 (CVPR, 2019)

Clustering Images by Unmasking - A New Baseline. - Mariana-Iuliana Georgescu; Radu Tudor Ionescu (ICIP, 2019)

Recognizing Facial Expressions of Occluded Faces Using Convolutional Neural Networks. - Mariana-Iuliana Georgescu; Radu Tudor Ionescu (ICONIP (4), 2019)

Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation. - Radu Tudor Ionescu; Andrei M. Butnaru (NAACL-HLT (1), 2019)

Detecting Abnormal Events in Video Using Narrowed Normality Clusters. - Radu Tudor Ionescu; Sorina Smeureanu; Marius Popescu; Bogdan Alexe (WACV, 2019)

ShotgunWSD 2.0: An Improved Algorithm for Global Word Sense Disambiguation. - Andrei M. Butnaru; Radu Tudor Ionescu (IEEE Access, 2019)

Local Learning With Deep and Handcrafted Features for Facial Expression Recognition. - Mariana-Iuliana Georgescu; Radu Tudor Ionescu; Marius Popescu (IEEE Access, 2019)

Vector of Locally-Aggregated Word Embeddings (VLAWE): A novel document-level embedding. - Radu Tudor Ionescu; Andrei M. Butnaru (CoRR, 2019)

A Convolutional Neural Network for User Identification based on Motion Sensors. - Cezara Benegui; Radu Tudor Ionescu (CoRR, 2019)

A Breach into the Authentication with Built-in Camera (ABC) Protocol. - Cezara Benegui; Radu Tudor Ionescu (ACNS (2), 2020)

Adversarial Attacks on Deep Learning Systems for User Identification Based on Motion Sensors. - Cezara Benegui; Radu Tudor Ionescu (ICONIP (5), 2020)

To Augment or Not to Augment? Data Augmentation in User Identification Based on Motion Sensors. - Cezara Benegui; Radu Tudor Ionescu (ICONIP (5), 2020)

Teacher-Student Training and Triplet Loss for Facial Expression Recognition under Occlusion. - Mariana-Iuliana Georgescu; Radu Tudor Ionescu (ICPR, 2020)

Are you Wearing a Mask? Improving Mask Detection from Speech Using Augmentation by Cycle-Consistent GANs. - Nicolae-Catalin Ristea; Radu Tudor Ionescu (INTERSPEECH, 2020)

Black-Box Ripper: Copying black-box models using generative evolutionary algorithms. - Antonio Barbalau; Adrian Cosma; Radu Tudor Ionescu; Marius Popescu (NeurIPS, 2020)

A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI. - Antonio Barbalau; Adrian Cosma; Radu Tudor Ionescu; Marius Popescu (ECML/PKDD (2), 2020)

Forward and backward feature selection for query performance prediction. - Sébastien Déjean; Radu Tudor Ionescu; Josiane Mothe; Md. Zia Ullah (SAC, 2020)

A Report on the VarDial Evaluation Campaign 2020. - Mihaela Gaman; Dirk Hovy; Radu Tudor Ionescu; Heidi Jauhiainen; Tommi Jauhiainen; Krister Lindén; Nikola Ljubesic; Niko Partanen; Christoph Purschke; Yves Scherrer; Marcos Zampieri (VarDial@COLING, 2020)

Combining Deep Learning and String Kernels for the Localization of Swiss German Tweets. - Mihaela Gaman; Radu Tudor Ionescu (VarDial@COLING, 2020)

Fully Convolutional Neural Networks for Automotive Radar Interference Mitigation. - Nicolae-Catalin Ristea; Andrei Anghel; Radu Tudor Ionescu (VTC Fall, 2020)

Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN). - Petru Soviany; Claudiu Ardei; Radu Tudor Ionescu; Marius Leordeanu (WACV, 2020)

Convolutional Neural Networks for User Identification Based on Motion Sensors Represented as Images. - Cezara Benegui; Radu Tudor Ionescu (IEEE Access, 2020)

Convolutional Neural Networks With Intermediate Loss for 3D Super-Resolution of CT and MRI Scans. - Mariana-Iuliana Georgescu; Radu Tudor Ionescu; Nicolae Verga (IEEE Access, 2020)

Non-linear Neurons with Human-like Apical Dendrite Activations. - Mariana-Iuliana Georgescu; Radu Tudor Ionescu; Nicolae-Catalin Ristea; Nicu Sebe (CoRR, 2020)

A Scene-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video. - Mariana-Iuliana Georgescu; Radu Tudor Ionescu; Fahad Shahbaz Khan; Marius Popescu; Mubarak Shah (CoRR, 2020)

Accurate and Efficient Intracranial Hemorrhage Detection and Subtype Classification in 3D CT Scans with Convolutional and Long Short-Term Memory Neural Networks. - Mihail Burduja; Radu Tudor Ionescu; Nicolae Verga (Sensors, 2020)

SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles. - Ana-Cristina Rogoz; Mihaela Gaman; Radu Tudor Ionescu (ACL/IJCNLP (2), 2021)

Anomaly Detection in Video via Self-Supervised and Multi-Task Learning. - Mariana-Iuliana Georgescu; Antonio Barbalau; Radu Tudor Ionescu; Fahad Shahbaz Khan; Marius Popescu; Mubarak Shah (CVPR, 2021)

Automotive Radar Interference Mitigation With Unfolded Robust PCA Based on Residual Overcomplete Auto-Encoder Blocks. - Nicolae-Catalin Ristea; Andrei Anghel; Radu Tudor Ionescu; Yonina C. Eldar (CVPR Workshops, 2021)

Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set. - Anca Maria Tache; Mihaela Gaman; Radu Tudor Ionescu (EACL, 2021)

Contextual Convolutional Neural Networks. - Ionut Cosmin Duta; Mariana-Iuliana Georgescu; Radu Tudor Ionescu (ICCVW, 2021)

Unsupervised Medical Image Alignment With Curriculum Learning. - Mihail Burduja; Radu Tudor Ionescu (ICIP, 2021)

FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection. - Radu Tudor Ionescu; Adrian-Gabriel Chifu (IJCNN, 2021)

Self-Paced Ensemble Learning for Speech and Audio Classification. - Nicolae-Catalin Ristea; Radu Tudor Ionescu (Interspeech, 2021)

LiRo: Benchmark and leaderboard for Romanian language tasks. - 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; et al. (NeurIPS Datasets and Benchmarks, 2021)

A realistic approach to generate masked faces applied on two novel masked face recognition data sets. - Tudor Mare; Georgian-Emilian Duta; Mariana-Iuliana Georgescu; Adrian Sandru; Bogdan Alexe; Marius Popescu; Radu Tudor Ionescu (NeurIPS Datasets and Benchmarks, 2021)

Natural vs balanced distribution in deep learning on whole slide images for cancer detection. - Ismat Ara Reshma; Sylvain Cussat-Blanc; Radu Tudor Ionescu; Hervé Luga; Josiane Mothe (SAC, 2021)

Findings of the VarDial Evaluation Campaign 2021. - Bharathi Raja Chakravarthi; Mihaela Gaman; Radu Tudor Ionescu; Heidi Jauhiainen; Tommi Jauhiainen; Krister Lindén; Nikola Ljubesic; Niko Partanen; Ruba Priyadharshini; Christoph Purschke; Eswari Rajagopal; Yves Scherrer; et al. (VarDial@EACL, 2021)

UnibucKernel: Geolocating Swiss German Jodels Using Ensemble Learning. - Mihaela Gaman; Sebastian Cojocariu; Radu Tudor Ionescu (VarDial@EACL, 2021)

SuPEr - SAM: Using the Supervision Signal from a Pose Estimator to Train a Spatial Attention Module for Personal Protective Equipment Recognition. - Adrian Sandru; Georgian-Emilian Duta; Mariana-Iuliana Georgescu; Radu Tudor Ionescu (WACV, 2021)

Estimating the Magnitude and Phase of Automotive Radar Signals Under Multiple Interference Sources With Fully Convolutional Networks. - Nicolae-Catalin Ristea; Andrei Anghel; Radu Tudor Ionescu (IEEE Access, 2021)

Improving the Authentication with Built-in Camera Protocol Using Built-in Motion Sensors: A Deep Learning Solution. - Cezara Benegui; Radu Tudor Ionescu (CoRR, 2021)

CyTran: Cycle-Consistent Transformers for Non-Contrast to Contrast CT Translation. - Nicolae-Catalin Ristea; Andreea-Iuliana Miron; Olivian Savencu; Mariana-Iuliana Georgescu; Nicolae Verga; Fahad Shahbaz Khan; Radu Tudor Ionescu (CoRR, 2021)

Transferring BERT-like Transformers' Knowledge for Authorship Verification. - Andrei Manolache; Florin Brad; Elena Burceanu; Antonio Barbalau; Radu Tudor Ionescu; Marius Popescu (CoRR, 2021)

Curriculum self-paced learning for cross-domain object detection. - Petru Soviany; Radu Tudor Ionescu; Paolo Rota; Nicu Sebe (Comput. Vis. Image Underst., 2021)

A Study on the Impact of Class Distribution on Deep Learning - The Case of Histological Images and Cancer Detection - Extended Abstract. - Ismat Ara Reshma; Josiane Mothe; Sylvain Cussat-Blanc; Hervé Luga; Camille Franchet; Margot Gaspard; Pierre Brousset; Radu Tudor Ionescu (CIRCLE, 2022)

UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection. - Andra Acsintoae; Andrei Florescu; Mariana-Iuliana Georgescu; Tudor Mare; Paul Sumedrea; Radu Tudor Ionescu; Fahad Shahbaz Khan; Mubarak Shah (CVPR, 2022)

Discriminability-enforcing loss to improve representation learning. - Florinel-Alin Croitoru; Diana-Nicoleta Grigore; Radu Tudor Ionescu (CVPR Workshops, 2022)

Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection. - Nicolae-Catalin Ristea; Neelu Madan; Radu Tudor Ionescu; Kamal Nasrollahi; Fahad Shahbaz Khan; Thomas B. Moeslund; Mubarak Shah (CVPR, 2022)

Self-paced Learning to Improve Text Row Detection in Historical Documents with Missing Labels. - Mihaela Gaman; Lida Ghadamiyan; Radu Tudor Ionescu; Marius Popescu (ECCV Workshops (4), 2022)

Feature-Level Augmentation to Improve Robustness of Deep Neural Networks to Affine Transformations. - Adrian Sandru; Mariana-Iuliana Georgescu; Radu Tudor Ionescu (ECCV Workshops (1), 2022)

Rethinking the Authorship Verification Experimental Setups. - Florin Brad; Andrei Manolache; Elena Burceanu; Antonio Barbalau; Radu Tudor Ionescu; Marius Popescu (EMNLP, 2022)

SepTr: Separable Transformer for Audio Spectrogram Processing. - Nicolae-Catalin Ristea; Radu Tudor Ionescu; Fahad Shahbaz Khan (INTERSPEECH, 2022)

VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web. - Andrei Manolache; Florin Brad; Antonio Barbalau; Radu Tudor Ionescu; Marius Popescu (NeurIPS, 2022)

Self-paced learning to improve text row detection in historical documents with missing lables. - Mihaela Gaman; Lida Ghadamiyan; Radu Tudor Ionescu; Marius Popescu (CoRR, 2022)

LeRaC: Learning Rate Curriculum. - Florinel-Alin Croitoru; Nicolae-Catalin Ristea; Radu Tudor Ionescu; Nicu Sebe (CoRR, 2022)

Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation. - Nicolae-Catalin Ristea; Florinel-Alin Croitoru; Dana Dascalescu; Radu Tudor Ionescu; Fahad Shahbaz Khan; Mubarak Shah (CoRR, 2022)

Curriculum Learning: A Survey. - Petru Soviany; Radu Tudor Ionescu; Paolo Rota; Nicu Sebe (Int. J. Comput. Vis., 2022)

The unreasonable effectiveness of machine learning in Moldavian versus Romanian dialect identification. - Mihaela Gaman; Radu Tudor Ionescu (Int. J. Intell. Syst., 2022)

Finding a Suitable Class Distribution for Building Histological Images Datasets Used in Deep Model Training - The Case of Cancer Detection. - Ismat Ara Reshma; Camille Franchet; Margot Gaspard; Radu Tudor Ionescu; Josiane Mothe; Sylvain Cussat-Blanc; Hervé Luga; Pierre Brousset (J. Digit. Imaging, 2022)

Teacher-student training and triplet loss to reduce the effect of drastic face occlusion. - Mariana-Iuliana Georgescu; Georgian-Emilian Duta; Radu Tudor Ionescu (Mach. Vis. Appl., 2022)

A Background-Agnostic Framework With Adversarial Training for Abnormal Event Detection in Video. - Mariana-Iuliana Georgescu; Radu Tudor Ionescu; Fahad Shahbaz Khan; Marius Popescu; Mubarak Shah (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results. - Andrei Dumitriu; Florin Tatui; Florin Miron; Radu Tudor Ionescu; Radu Timofte (CVPR Workshops, 2023)

A Novel Contrastive Learning Method for Clickbait Detection on RoCliCo: A Romanian Clickbait Corpus of News Articles. - Daria-Mihaela Broscoteanu; Radu Tudor Ionescu (EMNLP (Findings), 2023)

Audiovisual Masked Autoencoders. - Mariana-Iuliana Georgescu; Eduardo Fonseca; Radu Tudor Ionescu; Mario Lucic; Cordelia Schmid; Anurag Arnab (ICCV, 2023)

JEDI: Joint Expert Distillation in a Semi-Supervised Multi-Dataset Student-Teacher Scenario for Video Action Recognition. - Lucian Bicsi; Bogdan Alexe; Radu Tudor Ionescu; Marius Leordeanu (ICCV (Workshops), 2023)

FreCDo: A Large Corpus for French Cross-Domain Dialect Identification. - Mihaela Gaman; Adrian-Gabriel Chifu; William Domingues; Radu Tudor Ionescu (KES, 2023)

Cascaded Cross-Modal Transformer for Request and Complaint Detection. - Nicolae-Catalin Ristea; Radu Tudor Ionescu (ACM Multimedia, 2023)

Diversity-Promoting Ensemble for Medical Image Segmentation. - Mariana-Iuliana Georgescu; Radu Tudor Ionescu; Andreea-Iuliana Miron (SAC, 2023)

iQPP: A Benchmark for Image Query Performance Prediction. - Eduard Poesina; Radu Tudor Ionescu; Josiane Mothe (SIGIR, 2023)

iQPP: Une Référence pour la Prédiction de Performances des Requêtes d'Images. - Eduard Poesina; Radu Tudor Ionescu; Josiane Mothe (CORIA-TALN, 2023)

Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution. - Mariana-Iuliana Georgescu; Radu Tudor Ionescu; Andreea-Iuliana Miron; Olivian Savencu; Nicolae-Catalin Ristea; Nicolae Verga; Fahad Shahbaz Khan (WACV, 2023)

An Open Hyperspectral Dataset with Sea-Land-Cloud Ground-Truth from the Hypso-1 Satellite. - Jon Álvarez Justo; Joseph L. Garrett; Dennis D. Langer; Marie Bøe Henriksen; Radu Tudor Ionescu; Tor Arne Johansen (WHISPERS, 2023)

RoDia: A New Dataset for Romanian Dialect Identification from Speech. - Codrut Rotaru; Nicolae-Catalin Ristea; Radu Tudor Ionescu (CoRR, 2023)

Sea-Land-Cloud Segmentation in Satellite Hyperspectral Imagery by Deep Learning. - Jon Álvarez Justo; Joseph Landon Garrett; Mariana-Iuliana Georgescu; Jesus Gonzalez-Llorente; Radu Tudor Ionescu; Tor Arne Johansen (CoRR, 2023)

SSMTL++: Revisiting self-supervised multi-task learning for video anomaly detection. - Antonio Barbalau; Radu Tudor Ionescu; Mariana-Iuliana Georgescu; Jacob V. Dueholm; Bharathkumar Ramachandra; Kamal Nasrollahi; Fahad Shahbaz Khan; Thomas B. Moeslund; Mubarak Shah (Comput. Vis. Image Underst., 2023)

CyTran: A cycle-consistent transformer with multi-level consistency for non-contrast to contrast CT translation. - Nicolae-Catalin Ristea; Andreea-Iuliana Miron; Olivian Savencu; Mariana-Iuliana Georgescu; Nicolae Verga; Fahad Shahbaz Khan; Radu Tudor Ionescu (Neurocomputing, 2023)

Diffusion Models in Vision: A Survey. - Florinel-Alin Croitoru; Vlad Hondru; Radu Tudor Ionescu; Mubarak Shah (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Nonlinear neurons with human-like apical dendrite activations. - Mariana-Iuliana Georgescu; Radu Tudor Ionescu; Nicolae-Catalin Ristea; Nicu Sebe (Appl. Intell., 2023)

A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus. - Eduard Poesina; Cornelia Caragea; Radu Tudor Ionescu (ACL (1), 2024)

UnibucLLM: Harnessing LLMs for Automated Prediction of Item Difficulty and Response Time for Multiple-Choice Questions. - Ana-Cristina Rogoz; Radu Tudor Ionescu (BEA, 2024)

Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors. - Nicolae-Catalin Ristea; Florinel-Alin Croitoru; Radu Tudor Ionescu; Marius Popescu; Fahad Shahbaz Khan; Mubarak Shah (CVPR, 2024)

CBM: Curriculum by Masking. - Andrei Jarca; Florinel-Alin Croitoru; Radu Tudor Ionescu (ECAI, 2024)

Class Anchor Margin Loss for Content-Based Image Retrieval. - Alexandru Ghita; Radu Tudor Ionescu (ICAART (3), 2024)

Active Self-paced Knowledge Distillation and Diffusion-Based Generation for Few-Call Model Stealing. - Vlad Hondru; Radu Tudor Ionescu (ICPR (24), 2024)

Learning Using Generated Privileged Information by Text-to-Image Diffusion Models. - Rafael-Edy Menadil; Mariana-Iuliana Georgescu; Radu Tudor Ionescu (ICPR (7), 2024)

[inline-graphic not available: see fulltext] : A New Dataset for [inline-graphic not available: see fulltext] pularity [inline-graphic not available: see fulltext] diction of [inline-graphic not available: see fulltext] manian Reddit Posts. - Ana-Cristina Rogoz; Maria Ilinca Nechita; Radu Tudor Ionescu (ICPR (20), 2024)

RoDia: A New Dataset for Romanian Dialect Identification from Speech. - Rotaru Codrut; Nicolae-Catalin Ristea; Radu Tudor Ionescu (NAACL-HLT (Findings), 2024)

A New Loss for Image Retrieval: Class Anchor Margin. - Alexandru Ghita; Radu Tudor Ionescu (PAKDD (2), 2024)

CL-MAE: Curriculum-Learned Masked Autoencoders. - Neelu Madan; Nicolae-Catalin Ristea; Kamal Nasrollahi; Thomas B. Moeslund; Radu Tudor Ionescu (WACV, 2024)

PoPreRo: A New Dataset for Popularity Prediction of Romanian Reddit Posts. - Ana-Cristina Rogoz; Maria Ilinca Nechita; Radu Tudor Ionescu (CoRR, 2024)

Masked Image Modeling: A Survey. - Vlad Hondru; Florinel-Alin Croitoru; Shervin Minaee; Radu Tudor Ionescu; Nicu Sebe (CoRR, 2024)

Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook. - Florinel-Alin Croitoru; Andrei Iulian Hîji; Vlad Hondru; Nicolae-Catalin Ristea; Paul Irofti; Marius Popescu; Cristian Rusu; Radu Tudor Ionescu; Fahad Shahbaz Khan; Mubarak Shah (CoRR, 2024)

Reverse Stable Diffusion: What prompt was used to generate this image? - Florinel-Alin Croitoru; Vlad Hondru; Radu Tudor Ionescu; Mubarak Shah (Comput. Vis. Image Underst., 2024)

Lightning fast video anomaly detection via multi-scale adversarial distillation. - Florinel-Alin Croitoru; Nicolae-Catalin Ristea; Dana Dascalescu; Radu Tudor Ionescu; Fahad Shahbaz Khan; Mubarak Shah (Comput. Vis. Image Underst., 2024)

Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection. - Neelu Madan; Nicolae-Catalin Ristea; Radu Tudor Ionescu; Kamal Nasrollahi; Fahad Shahbaz Khan; Thomas B. Moeslund; Mubarak Shah (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Cascaded cross-modal transformer for audio-textual classification. - Nicolae-Catalin Ristea; Andrei Anghel; Radu Tudor Ionescu (Artif. Intell. Rev., 2024)

Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text. - Andrei Jarca; Florinel-Alin Croitoru; Radu Tudor Ionescu (ACL (Findings), 2025)

Curriculum Direct Preference Optimization for Diffusion and Consistency Models. - Florinel-Alin Croitoru; Vlad Hondru; Radu Tudor Ionescu; Nicu Sebe; Mubarak Shah (CVPR, 2025)

RipVIS: Rip Currents Video Instance Segmentation Benchmark for Beach Monitoring and Safety. - Andrei Dumitriu; Florin Tatui; Florin Miron; Aakash Ralhan; Radu Tudor Ionescu; Radu Timofte (CVPR, 2025)

PQPP: A Joint Benchmark for Text-to-Image Prompt and Query Performance Prediction. - Eduard Poesina; Adriana Valentina Costache; Adrian-Gabriel Chifu; Josiane Mothe; Radu Tudor Ionescu (CVPR, 2025)

Weight Copy and Low-Rank Adaptation for Few-Shot Distillation of Vision Transformers. - Diana-Nicoleta Grigore; Mariana-Iuliana Georgescu; Jon Álvarez Justo; Tor Arne Johansen; Andreea Iuliana Ionescu; Radu Tudor Ionescu (WACV, 2025)

Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image Datasets. - Adrian Iordache; Bogdan Alexe; Radu Tudor Ionescu (WACV, 2025)

DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-Id. - Nyle Siddiqui; Florinel-Alin Croitoru; Gaurav Kumar Nayak; Radu Tudor Ionescu; Mubarak Shah (WACV, 2025)

Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning. - Jon Álvarez Justo; Alexandru Ghita; Daniel Kovac; Joseph L. Garrett; Mariana-Iuliana Georgescu; Jesus Gonzalez-Llorente; Radu Tudor Ionescu; Tor Arne Johansen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Learning Rate Curriculum. - Florinel-Alin Croitoru; Nicolae-Catalin Ristea; Radu Tudor Ionescu; Nicu Sebe (Int. J. Comput. Vis., 2025)

Large Multimodal Models for Low-Resource Languages: A Survey. - Marian Lupascu; Ana-Cristina Rogoz; Mihai-Sorin Stupariu; Radu Tudor Ionescu (CoRR, 2025)

A Survey of Text Classification Under Class Distribution Shift. - Adriana Valentina Costache; Silviu Florin Gheorghe; Eduard Gabriel Poesina; Paul Irofti; Radu Tudor Ionescu (CoRR, 2025)

Harborfront Anomaly Detection. - Jacob V. Dueholm; Mia Sandra Nicole Siemon; Radu Tudor Ionescu; Thomas B. Moeslund; Kamal Nasrollahi (Neural Process. Lett., 2025)

ExDDV: A New Dataset for Explainable Deepfake Detection in Video. - Vlad Hondru; Eduard Hogea; Darian M. Onchis; Radu Tudor Ionescu (CoRR, 2025)

Detecting and Mitigating DDoS Attacks with AI: A Survey. - Alexandru Apostu; Silviu Florin Gheorghe; Andrei Iulian Hîji; Nicolae Cleju; Andrei Patrascu; Cristian Rusu; Radu Tudor Ionescu; Paul Irofti (CoRR, 2025)

MAVOS-DD: Multilingual Audio-Video Open-Set Deepfake Detection Benchmark. - Florinel-Alin Croitoru; Vlad Hondru; Marius Popescu; Radu Tudor Ionescu; Fahad Shahbaz Khan; Mubarak Shah (CoRR, 2025)

XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark. - Ioan-Paul Ciobanu; Andrei Iulian Hîji; Nicolae-Catalin Ristea; Paul Irofti; Cristian Rusu; Radu Tudor Ionescu (CoRR, 2025)

GeMix: Conditional GAN-Based Mixup for Improved Medical Image Augmentation. - Hugo Carlesso; Maria Eliza Patulea; Moncef Garouani; Radu Tudor Ionescu; Josiane Mothe (CoRR, 2025)

Towards few-call model stealing via active self-paced knowledge distillation and diffusion-based image generation. - Vlad Hondru; Radu Tudor Ionescu (Artif. Intell. Rev., 2025)

SlotMatch: Distilling Temporally Consistent Object-Centric Representations for Unsupervised Video Segmentation. - Diana-Nicoleta Grigore; Neelu Madan; Andreas Møgelmose; Thomas B. Moeslund; Radu Tudor Ionescu (CoRR, 2025)

AIM 2025 Rip Current Segmentation (RipSeg) Challenge Report. - Andrei Dumitriu; Florin Miron; Florin Tatui; Radu Tudor Ionescu; Radu Timofte; Aakash Ralhan; Florin-Alexandru Vasluianu; Shenyang Qian; Mitchell Harley; Imran Razzak; Yang Song; Pu Luo; et al. (CoRR, 2025)