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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
- 2025
[j28]Jon Álvarez Justo
, Alexandru Ghita, Daniel Kovac, Joseph L. Garrett, Mariana-Iuliana Georgescu, Jesus Gonzalez-Llorente, Radu Tudor Ionescu, Tor Arne Johansen:
Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 273-293 (2025)- 2024
- [j27]Nicolae-Catalin Ristea, Andrei Anghel, Radu Tudor Ionescu:
Cascaded cross-modal transformer for audio-textual classification. Artif. Intell. Rev. 57(9): 225 (2024) - [j26]Florinel-Alin Croitoru, Nicolae-Catalin Ristea, Dana Dascalescu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah:
Lightning fast video anomaly detection via multi-scale adversarial distillation. Comput. Vis. Image Underst. 247: 104074 (2024) - [j25]Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah:
Reverse Stable Diffusion: What prompt was used to generate this image? Comput. Vis. Image Underst. 249: 104210 (2024) - [j24]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. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 525-542 (2024) - [c104]Eduard Poesina, Cornelia Caragea, Radu Tudor Ionescu:
A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus. ACL (1) 2024: 236-253 - [c103]Ana-Cristina Rogoz, Radu Tudor Ionescu:
UnibucLLM: Harnessing LLMs for Automated Prediction of Item Difficulty and Response Time for Multiple-Choice Questions. BEA 2024: 493-502 - [c102]Nicolae-Catalin Ristea, Florinel-Alin Croitoru, Radu Tudor Ionescu, Marius Popescu, Fahad Shahbaz Khan, Mubarak Shah:
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors. CVPR 2024: 15984-15995 - [c101]Andrei Jarca, Florinel-Alin Croitoru, Radu Tudor Ionescu:
CBM: Curriculum by Masking. ECAI 2024: 314-321 - [c100]Alexandru Ghita, Radu Tudor Ionescu:
Class Anchor Margin Loss for Content-Based Image Retrieval. ICAART (3) 2024: 848-853 - [c99]Vlad Hondru, Radu Tudor Ionescu:
Active Self-paced Knowledge Distillation and Diffusion-Based Generation for Few-Call Model Stealing. ICPR (24) 2024: 16-30 - [c98]Ana-Cristina Rogoz, Maria Ilinca Nechita, Radu Tudor Ionescu:
[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. ICPR (20) 2024: 16-28 - [c97]Rafael-Edy Menadil, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Learning Using Generated Privileged Information by Text-to-Image Diffusion Models. ICPR (7) 2024: 423-438 - [c96]Rotaru Codrut, Nicolae-Catalin Ristea, Radu Tudor Ionescu:
RoDia: A New Dataset for Romanian Dialect Identification from Speech. NAACL-HLT (Findings) 2024: 279-286 - [c95]Alexandru Ghita, Radu Tudor Ionescu:
A New Loss for Image Retrieval: Class Anchor Margin. PAKDD (2) 2024: 43-54 - [c94]Neelu Madan, Nicolae-Catalin Ristea, Kamal Nasrollahi, Thomas B. Moeslund, Radu Tudor Ionescu:
CL-MAE: Curriculum-Learned Masked Autoencoders. WACV 2024: 2480-2490 - [i97]Nicolae-Catalin Ristea, Andrei Anghel, Radu Tudor Ionescu:
Cascaded Cross-Modal Transformer for Audio-Textual Classification. CoRR abs/2401.07575 (2024) - [i96]Diana-Nicoleta Grigore, Mariana-Iuliana Georgescu, Jon Álvarez Justo, Tor Arne Johansen, Andreea Iuliana Ionescu, Radu Tudor Ionescu:
Weight Copy and Low-Rank Adaptation for Few-Shot Distillation of Vision Transformers. CoRR abs/2404.09326 (2024) - [i95]Ana-Cristina Rogoz, Radu Tudor Ionescu:
UnibucLLM: Harnessing LLMs for Automated Prediction of Item Difficulty and Response Time for Multiple-Choice Questions. CoRR abs/2404.13343 (2024) - [i94]Eduard Poesina, Cornelia Caragea, Radu Tudor Ionescu:
A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus. CoRR abs/2405.11877 (2024) - [i93]Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Nicu Sebe, Mubarak Shah:
Curriculum Direct Preference Optimization for Diffusion and Consistency Models. CoRR abs/2405.13637 (2024) - [i92]Eduard Poesina, Adriana Valentina Costache, Adrian-Gabriel Chifu, Josiane Mothe, Radu Tudor Ionescu:
PQPP: A Joint Benchmark for Text-to-Image Prompt and Query Performance Prediction. CoRR abs/2406.04746 (2024) - [i91]Ana-Cristina Rogoz, Maria Ilinca Nechita, Radu Tudor Ionescu:
PoPreRo: A New Dataset for Popularity Prediction of Romanian Reddit Posts. CoRR abs/2407.04541 (2024) - [i90]Andrei Jarca, Florinel-Alin Croitoru, Radu Tudor Ionescu:
CBM: Curriculum by Masking. CoRR abs/2407.05193 (2024) - [i89]Vlad Hondru, Florinel-Alin Croitoru, Shervin Minaee, Radu Tudor Ionescu, Nicu Sebe:
Masked Image Modeling: A Survey. CoRR abs/2408.06687 (2024) - [i88]Adrian Iordache, Bogdan Alexe, Radu Tudor Ionescu:
Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image Datasets. CoRR abs/2410.22184 (2024) - [i87]Nyle Siddiqui, Florinel-Alin Croitoru, Gaurav Kumar Nayak, Radu Tudor Ionescu, Mubarak Shah:
DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-ID. CoRR abs/2411.07205 (2024) - [i86]Florinel-Alin Croitoru, Andrei-Iulian Hiji, Vlad Hondru, Nicolae-Catalin Ristea, Paul Irofti, Marius Popescu, Cristian Rusu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah:
Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook. CoRR abs/2411.19537 (2024) - 2023
- [j23]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Nicolae-Catalin Ristea, Nicu Sebe:
Nonlinear neurons with human-like apical dendrite activations. Appl. Intell. 53(21): 25984-26007 (2023) - [j22]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. Comput. Vis. Image Underst. 229: 103656 (2023) - [j21]Nicolae-Catalin Ristea, Andreea-Iuliana Miron, Olivian Savencu, Mariana-Iuliana Georgescu, Nicolae Verga, Fahad Shahbaz Khan, Radu Tudor Ionescu:
CyTran: A cycle-consistent transformer with multi-level consistency for non-contrast to contrast CT translation. Neurocomputing 538: 126211 (2023) - [j20]Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah:
Diffusion Models in Vision: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10850-10869 (2023) - [c93]Andrei Dumitriu, Florin Tatui, Florin Miron, Radu Tudor Ionescu, Radu Timofte:
Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results. CVPR Workshops 2023: 1261-1271 - [c92]Daria-Mihaela Broscoteanu, Radu Tudor Ionescu:
A Novel Contrastive Learning Method for Clickbait Detection on RoCliCo: A Romanian Clickbait Corpus of News Articles. EMNLP (Findings) 2023: 9547-9555 - [c91]Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab:
Audiovisual Masked Autoencoders. ICCV 2023: 16098-16108 - [c90]Lucian Bicsi, Bogdan Alexe, Radu Tudor Ionescu, Marius Leordeanu:
JEDI: Joint Expert Distillation in a Semi-Supervised Multi-Dataset Student-Teacher Scenario for Video Action Recognition. ICCV (Workshops) 2023: 953-962 - [c89]Mihaela Gaman, Adrian-Gabriel Chifu, William Domingues, Radu Tudor Ionescu:
FreCDo: A Large Corpus for French Cross-Domain Dialect Identification. KES 2023: 366-373 - [c88]Nicolae-Catalin Ristea, Radu Tudor Ionescu:
Cascaded Cross-Modal Transformer for Request and Complaint Detection. ACM Multimedia 2023: 9467-9471 - [c87]Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron:
Diversity-Promoting Ensemble for Medical Image Segmentation. SAC 2023: 599-606 - [c86]Eduard Poesina, Radu Tudor Ionescu, Josiane Mothe:
iQPP: A Benchmark for Image Query Performance Prediction. SIGIR 2023: 2953-2963 - [c85]Eduard Poesina, Radu Tudor Ionescu, Josiane Mothe:
iQPP: Une Référence pour la Prédiction de Performances des Requêtes d'Images. CORIA-TALN 2023: 214-220 - [c84]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. WACV 2023: 2194-2204 - [c83]Jon Álvarez Justo, Joseph L. Garrett, Dennis D. Langer, Marie Bøe Henriksen, Radu Tudor Ionescu, Tor Arne Johansen:
An Open Hyperspectral Dataset with Sea-Land-Cloud Ground-Truth from the Hypso-1 Satellite. WHISPERS 2023: 1-5 - [i85]Eduard Poesina, Radu Tudor Ionescu, Josiane Mothe:
iQPP: A Benchmark for Image Query Performance Prediction. CoRR abs/2302.10126 (2023) - [i84]Alexandru Ghita, Radu Tudor Ionescu:
Class Anchor Margin Loss for Content-Based Image Retrieval. CoRR abs/2306.00630 (2023) - [i83]Nicolae-Catalin Ristea, Florinel-Alin Croitoru, Radu Tudor Ionescu, Marius Popescu, Fahad Shahbaz Khan, Mubarak Shah:
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors. CoRR abs/2306.12041 (2023) - [i82]Nicolae-Catalin Ristea, Radu Tudor Ionescu:
Cascaded Cross-Modal Transformer for Request and Complaint Detection. CoRR abs/2307.15097 (2023) - [i81]Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah:
Reverse Stable Diffusion: What prompt was used to generate this image? CoRR abs/2308.01472 (2023) - [i80]Lucian Bicsi, Bogdan Alexe, Radu Tudor Ionescu, Marius Leordeanu:
JEDI: Joint Expert Distillation in a Semi-Supervised Multi-Dataset Student-Teacher Scenario for Video Action Recognition. CoRR abs/2308.04934 (2023) - [i79]Jon Álvarez Justo, Joseph L. Garrett, Dennis D. Langer, Marie Bøe Henriksen, Radu Tudor Ionescu, Tor Arne Johansen:
An Open Hyperspectral Dataset with Sea-Land-Cloud Ground-Truth from the HYPSO-1 Satellite. CoRR abs/2308.13679 (2023) - [i78]Neelu Madan, Nicolae-Catalin Ristea, Kamal Nasrollahi, Thomas B. Moeslund, Radu Tudor Ionescu:
CL-MAE: Curriculum-Learned Masked Autoencoders. CoRR abs/2308.16572 (2023) - [i77]Codrut Rotaru, Nicolae-Catalin Ristea, Radu Tudor Ionescu:
RoDia: A New Dataset for Romanian Dialect Identification from Speech. CoRR abs/2309.03378 (2023) - [i76]Rafael-Edy Menadil, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Learning Using Generated Privileged Information by Text-to-Image Diffusion Models. CoRR abs/2309.15238 (2023) - [i75]Vlad Hondru, Radu Tudor Ionescu:
Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation. CoRR abs/2310.00096 (2023) - [i74]Daria-Mihaela Broscoteanu, Radu Tudor Ionescu:
A Novel Contrastive Learning Method for Clickbait Detection on RoCliCo: A Romanian Clickbait Corpus of News Articles. CoRR abs/2310.06540 (2023) - [i73]Jon Álvarez Justo, Joseph Landon Garrett, Mariana-Iuliana Georgescu, Jesus Gonzalez-Llorente, Radu Tudor Ionescu, Tor Arne Johansen:
Sea-Land-Cloud Segmentation in Satellite Hyperspectral Imagery by Deep Learning. CoRR abs/2310.16210 (2023) - 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) - [c82]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 - [c81]Florinel-Alin Croitoru, Diana-Nicoleta Grigore, Radu Tudor Ionescu:
Discriminability-enforcing loss to improve representation learning. CVPR Workshops 2022: 2597-2601 - [c80]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 - [c79]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 - [c78]Mihaela Gaman, Lida Ghadamiyan, Radu Tudor Ionescu, Marius Popescu:
Self-paced Learning to Improve Text Row Detection in Historical Documents with Missing Labels. ECCV Workshops (4) 2022: 253-262 - [c77]Adrian Sandru, Mariana-Iuliana Georgescu, Radu Tudor Ionescu:
Feature-Level Augmentation to Improve Robustness of Deep Neural Networks to Affine Transformations. ECCV Workshops (1) 2022: 332-341 - [c76]Florin Brad, Andrei Manolache, Elena Burceanu, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu:
Rethinking the Authorship Verification Experimental Setups. EMNLP 2022: 5634-5643 - [c75]Nicolae-Catalin Ristea, Radu Tudor Ionescu, Fahad Shahbaz Khan:
SepTr: Separable Transformer for Audio Spectrogram Processing. INTERSPEECH 2022: 4103-4107 - [c74]Andrei Manolache, Florin Brad, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu:
VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web. NeurIPS 2022 - [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, Eswari Rajagopal, 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]