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Marius Leordeanu
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2020 – today
- 2024
- [j13]Florin Condrea, Saikiran Rapaka, Lucian Mihai Itu, Puneet Sharma, Jonathan Sperl
, A Mohamed Ali, Marius Leordeanu
Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms. Comput. Biol. Medicine 174: 108464 (2024) - [i41]Dragos Costea, Alina Marcu, Cristina Lazar, Marius Leordeanu:
Maia: A Real-time Non-Verbal Chat for Human-AI Interaction. CoRR abs/2402.06385 (2024) - [i40]Alexandru-Raul Todoran, Marius Leordeanu:
Multiple Random Masking Autoencoder Ensembles for Robust Multimodal Semi-supervised Learning. CoRR abs/2402.08035 (2024) - [i39]Mihai Masala, Denis C. Ilie-Ablachim, Dragos Corlatescu, Miruna Zavelca, Marius Leordeanu, Horia Velicu, Marius Popescu, Mihai Dascalu, Traian Rebedea:
OpenLLM-Ro - Technical Report on Open-source Romanian LLMs. CoRR abs/2405.07703 (2024) - [i38]Mihai Masala, Denis C. Ilie-Ablachim, Alexandru Dima, Dragos Corlatescu, Miruna Zavelca, Ovio Olaru, Simina Terian, Andrei Terian, Marius Leordeanu, Horia Velicu, Marius Popescu, Mihai Dascalu, Traian Rebedea:
"Vorbeşti Româneşte?" A Recipe to Train Powerful Romanian LLMs with English Instructions. CoRR abs/2406.18266 (2024) - 2023
- [c51]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 - [c50]Alina Marcu, Mihai Cristian Pîrvu, Dragos Costea, Emanuela Haller, Emil Slusanschi, Nabil Belbachir, Rahul Sukthankar, Marius Leordeanu:
Self-supervised Hypergraphs for Learning Multiple World Interpretations. ICCV (Workshops) 2023: 983-992 - [c49]Mihai Masala, Nicolae Cudlenco, Traian Rebedea, Marius Leordeanu:
Explaining Vision and Language through Graphs of Events in Space and Time. ICCV (Workshops) 2023: 2818-2823 - [c48]Mihai Cristian Pîrvu, Alina Marcu, Alexandra Dobrescu, Nabil Belbachir, Marius Leordeanu:
Multi-Task Hypergraphs for Semi-supervised Learning using Earth Observations. ICCV (Workshops) 2023: 3396-3406 - [i37]Florin Condrea, Saikiran Rapaka
Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms. CoRR abs/2303.17593 (2023) - [i36]Mihai Masala, Nicolae Cudlenco, Traian Rebedea, Marius Leordeanu:
GEST: the Graph of Events in Space and Time as a Common Representation between Vision and Language. CoRR abs/2305.12940 (2023) - [i35]Alexandra Budisteanu, Dragos Costea, Alina Marcu, Marius Leordeanu:
Self-supervised novel 2D view synthesis of large-scale scenes with efficient multi-scale voxel carving. CoRR abs/2306.14709 (2023) - [i34]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) - [i33]Alina Marcu, Mihai Cristian Pîrvu, Dragos Costea, Emanuela Haller, Emil Slusanschi, Ahmed Nabil Belbachir, Rahul Sukthankar, Marius Leordeanu:
Self-supervised Hypergraphs for Learning Multiple World Interpretations. CoRR abs/2308.07615 (2023) - [i32]Mihai Cristian Pîrvu, Alina Marcu, Alexandra Dobrescu, Ahmed Nabil Belbachir, Marius Leordeanu:
Multi-Task Hypergraphs for Semi-supervised Learning using Earth Observations. CoRR abs/2308.11021 (2023) - [i31]Mihai Masala, Nicolae Cudlenco, Traian Rebedea, Marius Leordeanu:
Explaining Vision and Language through Graphs of Events in Space and Time. CoRR abs/2309.08612 (2023) - 2022
- [j12]Emanuela Haller
Iterative Knowledge Exchange Between Deep Learning and Space-Time Spectral Clustering for Unsupervised Segmentation in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7638-7656 (2022) - [c47]Vlad Licaret, Victor Robu, Alina Marcu, Dragos Costea, Emil Slusanschi
UFO Depth: Unsupervised learning with flow-based odometry optimization for metric depth estimation. ICRA 2022: 6526-6532 - [i30]Elena Burceanu, Marius Leordeanu:
Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking over Space and Time. CoRR abs/2212.08058 (2022) - 2021
- [j11]Marius Leordeanu, Iulia Paraicu:
Driven by Vision: Learning Navigation by Visual Localization and Trajectory Prediction. Sensors 21(3): 852 (2021) - [c46]Marius Leordeanu, Mihai Cristian Pîrvu, Dragos Costea, Alina Elena Marcu, Emil Slusanschi, Rahul Sukthankar:
Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus. AAAI 2021: 1882-1892 - [c45]Emanuela Haller, Elena Burceanu, Marius Leordeanu:
Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus Shift. BMVC 2021: 153 - [c44]Mihai Cristian Pîrvu, Victor Robu, Vlad Licaret, Dragos Costea, Alina Marcu, Emil Slusanschi
Depth Distillation: Unsupervised Metric Depth Estimation for UAVs by Finding Consensus Between Kinematics, Optical Flow and Deep Learning. CVPR Workshops 2021: 3215-3223 - [c43]Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu, Hailin Jin, Andrew Zisserman, Samuel Albanie, Yang Liu
TeachText: CrossModal Generalized Distillation for Text-Video Retrieval. ICCV 2021: 11563-11573 - [c42]Iulia Duta, Andrei Liviu Nicolicioiu, Marius Leordeanu:
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks. NeurIPS 2021: 7111-7125 - [i29]Emanuela Haller, Elena Burceanu, Marius Leordeanu:
Unsupervised Domain Adaptation through Iterative Consensus Shift in a Multi-Task Graph. CoRR abs/2103.14417 (2021) - [i28]Ioana Croitoru, Simion-Vlad Bogolin, Yang Liu, Samuel Albanie, Marius Leordeanu, Hailin Jin, Andrew Zisserman:
TEACHTEXT: CrossModal Generalized Distillation for Text-Video Retrieval. CoRR abs/2104.08271 (2021) - 2020
- [b1]Marius Leordeanu:
Unsupervised Learning in Space and Time - A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks. Advances in Computer Vision and Pattern Recognition, Springer 2020, ISBN 978-3-030-42127-4, pp. 1-295 - [j10]Nicolae Cudlenco
Reading into the mind's eye: Boosting automatic visual recognition with EEG signals. Neurocomputing 386: 281-292 (2020) - [j9]Oana Balan
An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy. Sensors 20(2): 496 (2020) - [j8]Livia Petrescu
Integrating Biosignals Measurement in Virtual Reality Environments for Anxiety Detection. Sensors 20(24): 7088 (2020) - [j7]Oana Balan
Emotion Classification Based on Biophysical Signals and Machine Learning Techniques. Symmetry 12(1): 21 (2020) - [c41]Alina Marcu, Vlad Licaret, Dragos Costea, Marius Leordeanu:
Semantics Through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation. ACCV (1) 2020: 537-552 - [c40]Simion-Vlad Bogolin, Ioana Croitoru, Marius Leordeanu:
A hierarchical approach to vision-based language generation: from simple sentences to complex natural language. COLING 2020: 2436-2447 - [c39]Florin Condrea, Victor-Andrei Ivan, Marius Leordeanu:
In Search of Life: Learning from Synthetic Data to Detect Vital Signs in Videos. CVPR Workshops 2020: 1207-1216 - [c38]Oana Balan
eTher - An Assistive Virtual Agent for Acrophobia Therapy in Virtual Reality. HCI (46) 2020: 12-25 - [c37]Oana Balan
Classifying the Levels of Fear by Means of Machine Learning Techniques and VR in a Holonic-Based System for Treating Phobias. Experiments and Results. HCI (11) 2020: 357-372 - [c36]Elena Burceanu, Marius Leordeanu:
A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time. IJCAI 2020: 495-501 - [c35]Petru Soviany, Claudiu Ardei, Radu Tudor Ionescu, Marius Leordeanu:
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN). WACV 2020: 3452-3461 - [i27]Florin Condrea, Victor-Andrei Ivan, Marius Leordeanu:
In Search of Life: Learning from Synthetic Data to Detect Vital Signs in Videos. CoRR abs/2004.07691 (2020) - [i26]Radu D. Stochitoiu, Traian Rebedea, Ionel Popescu, Marius Leordeanu:
A self-supervised neural-analytic method to predict the evolution of COVID-19 in Romania. CoRR abs/2006.12926 (2020) - [i25]Marius Leordeanu, Mihai Cristian Pîrvu, Dragos Costea, Alina Marcu, Emil Slusanschi, Rahul Sukthankar:
Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus. CoRR abs/2010.01086 (2020) - [i24]Alina Marcu, Vlad Licaret, Dragos Costea, Marius Leordeanu:
Semantics through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation. CoRR abs/2010.01910 (2020) - [i23]Emanuela Haller, Adina Magda Florea, Marius Leordeanu:
Iterative Knowledge Exchange Between Deep Learning and Space-Time Spectral Clustering for Unsupervised Segmentation in Videos. CoRR abs/2012.07123 (2020)
2010 – 2019
- 2019
- [j6]Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu:
Unsupervised Learning of Foreground Object Segmentation. Int. J. Comput. Vis. 127(9): 1279-1302 (2019) - [j5]Oana Balan
Fear Level Classification Based on Emotional Dimensions and Machine Learning Techniques. Sensors 19(7): 1738 (2019) - [c34]Oana Balan, Gabriela Moise, Alin Moldoveanu, Florica Moldoveanu, Marius Leordeanu:
Automatic Adaptation of Exposure Intensity in VR Acrophobia Therapy, based on Deep Neural Networks. ECIS 2019 - [c33]Andretti Naiden, Vlad Paunescu, Gyeongmo Kim, ByeongMoon Jeon, Marius Leordeanu:
Shift R-CNN: Deep Monocular 3D Object Detection With Closed-Form Geometric Constraints. ICIP 2019: 61-65 - [c32]Oana Balan, Stefania Cristea, Alin Moldoveanu, Gabriela Moise, Marius Leordeanu, Florica Moldoveanu:
Towards a Human-Centered Approach for VRET Systems: Case Study for Acrophobia. ISD 2019 - [c31]Andrei Liviu Nicolicioiu, Iulia Duta, Marius Leordeanu:
Recurrent Space-time Graph Neural Networks. NeurIPS 2019: 12818-12830 - [i22]Andrei Liviu Nicolicioiu, Iulia Duta, Marius Leordeanu:
Recurrent Space-time Graphs for Video Understanding. CoRR abs/1904.05582 (2019) - [i21]Andretti Naiden, Vlad Paunescu, Gyeongmo Kim, ByeongMoon Jeon, Marius Leordeanu:
Shift R-CNN: Deep Monocular 3D Object Detection with Closed-Form Geometric Constraints. CoRR abs/1905.09970 (2019) - [i20]Elena Burceanu, Marius Leordeanu:
A Spectral Approach to Unsupervised Object Segmentation in Video. CoRR abs/1907.02731 (2019) - [i19]Emanuela Haller, Adina Magda Florea, Marius Leordeanu:
Spacetime Graph Optimization for Video Object Segmentation. CoRR abs/1907.03326 (2019) - [i18]Iulia Paraicu, Marius Leordeanu:
Learning Navigation by Visual Localization and Trajectory Prediction. CoRR abs/1910.02818 (2019) - [i17]Petru Soviany, Claudiu Ardei, Radu Tudor Ionescu, Marius Leordeanu:
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN). CoRR abs/1910.08967 (2019) - [i16]Alina Marcu, Dragos Costea, Vlad Licaret, Marius Leordeanu:
Towards Automatic Annotation for Semantic Segmentation in Drone Videos. CoRR abs/1910.10026 (2019) - 2018
- [c30]Iulia Duta, Andrei Liviu Nicolicioiu, Simion-Vlad Bogolin, Marius Leordeanu:
Mining for meaning: from vision to language through multiple networks consensus. BMVC 2018: 275 - [c29]Dragos Costea, Alina Marcu, Emil Slusanschi
Roadmap Generation Using a Multi-Stage Ensemble of Deep Neural Networks With Smoothing-Based Optimization. CVPR Workshops 2018: 220-224 - [c28]Alina Marcu
SafeUAV: Learning to Estimate Depth and Safe Landing Areas for UAVs from Synthetic Data. ECCV Workshops (2) 2018: 43-58 - [c27]Elena Burceanu, Marius Leordeanu:
Learning a Robust Society of Tracking Parts Using Co-occurrence Constraints. ECCV Workshops (1) 2018: 162-178 - [c26]Oana Balan, Gabriela Moise
Does automatic game difficulty level adjustment improve acrophobia therapy?: differences from baseline. VRST 2018: 78:1-78:2 - [i15]Alina Marcu, Dragos Costea, Emil Slusanschi, Marius Leordeanu:
A Multi-Stage Multi-Task Neural Network for Aerial Scene Interpretation and Geolocalization. CoRR abs/1804.01322 (2018) - [i14]Elena Burceanu, Marius Leordeanu:
Learning a Robust Society of Tracking Parts using Co-occurrence Constraints. CoRR abs/1804.01771 (2018) - [i13]Iulia Duta, Andrei Liviu Nicolicioiu, Simion-Vlad Bogolin, Marius Leordeanu:
Mining for meaning: from vision to language through multiple networks consensus. CoRR abs/1806.01954 (2018) - [i12]Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu:
Unsupervised learning of foreground object detection. CoRR abs/1808.04593 (2018) - 2017
- [c25]Alina Elena Marcu, Marius Leordeanu:
Object Contra Context: Dual Local-Global Semantic Segmentation in Aerial Images. AAAI Workshops 2017 - [c24]Ioana Croitoru, Simion-Vlad Bogolin
Unsupervised Learning from Video to Detect Foreground Objects in Single Images. ICCV 2017: 4345-4353 - [c23]Emanuela Haller, Marius Leordeanu:
Unsupervised Object Segmentation in Video by Efficient Selection of Highly Probable Positive Features. ICCV 2017: 5095-5103 - [c22]Dragos Costea
Creating Roadmaps in Aerial Images with Generative Adversarial Networks and Smoothing-Based Optimization. ICCV Workshops 2017: 2100-2109 - [i11]Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu:
Unsupervised learning from video to detect foreground objects in single images. CoRR abs/1703.10901 (2017) - [i10]Emanuela Haller, Marius Leordeanu:
Unsupervised object segmentation in video by efficient selection of highly probable positive features. CoRR abs/1704.05674 (2017) - [i9]Radu Tudor Ionescu, Bogdan Alexe, Marius Leordeanu, Marius Popescu, Dim P. Papadopoulos, Vittorio Ferrari:
How hard can it be? Estimating the difficulty of visual search in an image. CoRR abs/1705.08280 (2017) - [i8]Elena Burceanu, Marius Leordeanu:
Learning a Robust Society of Tracking Parts. CoRR abs/1705.09602 (2017) - 2016
- [c21]Marius Leordeanu, Alexandra Radu, Shumeet Baluja, Rahul Sukthankar:
Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision. AAAI 2016: 3530-3538 - [c20]Dragos Costea, Marius Leordeanu:
Aerial image geolocalization from recognition and matching of roads and intersections. BMVC 2016 - [c19]Radu Tudor Ionescu, Bogdan Alexe, Marius Leordeanu, Marius Popescu
How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image. CVPR 2016: 2157-2166 - [i7]Alina Marcu, Marius Leordeanu:
Dual Local-Global Contextual Pathways for Recognition in Aerial Imagery. CoRR abs/1605.05462 (2016) - [i6]Dragos Costea, Marius Leordeanu:
Aerial image geolocalization from recognition and matching of roads and intersections. CoRR abs/1605.08323 (2016) - 2015
- [c18]Otilia Stretcu, Marius Leordeanu:
Multiple Frames Matching for Object Discovery in Video. BMVC 2015: 186.1-186.12 - [i5]Anirudh Goyal, Marius Leordeanu:
Stories in the Eye: Contextual Visual Interactions for Efficient Video to Language Translation. CoRR abs/1511.06674 (2015) - [i4]Marius Leordeanu, Alexandra Radu, Shumeet Baluja, Rahul Sukthankar:
Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision. CoRR abs/1512.00517 (2015) - 2014
- [j4]Marius Leordeanu, Rahul Sukthankar, Cristian Sminchisescu:
Generalized Boundaries from Multiple Image Interpretations. IEEE Trans. Pattern Anal. Mach. Intell. 36(7): 1312-1324 (2014) - [i3]Marius Leordeanu, Rahul Sukthankar:
Thoughts on a Recursive Classifier Graph: a Multiclass Network for Deep Object Recognition. CoRR abs/1404.2903 (2014) - [i2]Marius Leordeanu, Alexandra Radu, Rahul Sukthankar:
Features in Concert: Discriminative Feature Selection meets Unsupervised Clustering. CoRR abs/1411.7714 (2014) - 2013
- [c17]Marius Leordeanu, Andrei Zanfir, Cristian Sminchisescu:
Locally Affine Sparse-to-Dense Matching for Motion and Occlusion Estimation. ICCV 2013: 1721-1728 - [c16]Mihai Zanfir, Marius Leordeanu, Cristian Sminchisescu:
The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection. ICCV 2013: 2752-2759 - 2012
- [j3]Marius Leordeanu, Rahul Sukthankar, Martial Hebert:
Unsupervised Learning for Graph Matching. Int. J. Comput. Vis. 96(1): 28-45 (2012) - [c15]Marius Leordeanu, Rahul Sukthankar, Cristian Sminchisescu:
Efficient Closed-Form Solution to Generalized Boundary Detection. ECCV (4) 2012: 516-529 - [c14]Marius Leordeanu, Cristian Sminchisescu:
Efficient Hypergraph Clustering. AISTATS 2012: 676-684 - [i1]Marius Leordeanu, Rahul Sukthankar, Cristian Sminchisescu:
Generalized Boundaries from Multiple Image Interpretations. CoRR abs/1202.3684 (2012) - 2011
- [c13]Marius Leordeanu, Andrei Zanfir, Cristian Sminchisescu:
Semi-supervised learning and optimization for hypergraph matching. ICCV 2011: 2274-2281
2000 – 2009
- 2009
- [c12]Marius Leordeanu, Martial Hebert:
Unsupervised learning for graph matching. CVPR 2009: 864-871 - [c11]Marius Leordeanu, Martial Hebert, Rahul Sukthankar:
An Integer Projected Fixed Point Method for Graph Matching and MAP Inference. NIPS 2009: 1114-1122 - 2008
- [c10]Marius Leordeanu, Martial Hebert:
Smoothing-based Optimization. CVPR 2008 - [c9]Julien Mairal, Marius Leordeanu, Francis R. Bach, Martial Hebert, Jean Ponce:
Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation. ECCV (3) 2008: 43-56 - 2007
- [c8]Marius Leordeanu, Martial Hebert, Rahul Sukthankar:
Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features. CVPR 2007 - 2006
- [c7]James Hays, Marius Leordeanu, Alexei A. Efros
Discovering Texture Regularity as a Higher-Order Correspondence Problem. ECCV (2) 2006: 522-535 - [c6]Marius Leordeanu, Martial Hebert:
Efficient MAP approximation for dense energy functions. ICML 2006: 545-552 - 2005
- [j2]Robert T. Collins, Yanxi Liu, Marius Leordeanu:
Online Selection of Discriminative Tracking Features. IEEE Trans. Pattern Anal. Mach. Intell. 27(10): 1631-1643 (2005) - [c5]Marius Leordeanu, Robert T. Collins:
Unsupervised Learning of Object Features from Video Sequences. CVPR (1) 2005: 1142-1149 - [c4]Marius Leordeanu, Martial Hebert:
A Spectral Technique for Correspondence Problems Using Pairwise Constraints. ICCV 2005: 1482-1489 - 2004
- [c3]Ioannis Stamos, Marius Leordeanu:
Efficient Model Creation of Large Structures based on Range Segmentation. 3DPVT 2004: 447-454 - 2003
- [j1]Peter K. Allen, Alejandro J. Troccoli, Benjamin Smith, Stephen Murray, Ioannis Stamos, Marius Leordeanu:
New Methods for Digital Modeling of Historic Sites. IEEE Computer Graphics and Applications 23(6): 32-41 (2003) - [c2]Ioannis Stamos, Marius Leordeanu:
Automated Feature-Based Range Registration of Urban Scenes of Large Scale. CVPR (2) 2003: 555-561 - [c1]Peter K. Allen, Ioannis Stamos, Alejandro J. Troccoli, Benjamin Smith, Marius Leordeanu, Y. C. Hsu:
3D Modeling of Historic Sites Using Range and Image Data. ICRA 2003: 145-150
Coauthor Index
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