Emanuela Haller, Adina Magda Florea, Marius Leordeanu: Iterative Knowledge Exchange Between Deep Learning and Space-Time Spectral Clustering for Unsupervised Segmentation in Videos. IEEE Transactions on Pattern Analysis Machine Intelligence 44(11) 2022. View
Vlad Licaret, Victor Robu, Alina Marcu, Dragos Costea, Emil Slusanschi, Rahul Sukthankar, Marius Leordeanu: UFO Depth: Unsupervised learning with flow-based odometry optimization for metric depth estimation. International Conference on Robotics and Automation 2022: 6526-6532. View
Petrica, Marian, Radu D. Stochitoiu, Marius Leordeanu, and Ionel Popescu. A regime switch analysis on Covid-19 in Romania. Scientific Reports 12, no. 1 (2022): 1-15. View
Elena Burceanu, Marius Leordeanu: Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking over Space and Time. CoRR abs/2212.08058 (2022) View
Leordeanu, Marius, Alina Elena Marcu, Iulia-Adriana Muntianu, and Catalin Mutu. Automatic detection, counting, and measurement of lumber boards using a handheld device. U.S. Patent 11,216,905, issued January 4, 2022. View
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 View
Emanuela Haller, Elena Burceanu, Marius Leordeanu: Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus Shift. BMVC 2021. View
Mihai Cristian Pîrvu, Victor Robu, Vlad Licaret, Dragos Costea, Alina Marcu, Emil Slusanschi, Rahul Sukthankar, Marius Leordeanu: Depth Distillation: Unsupervised Metric Depth Estimation for UAVs by Finding Consensus Between Kinematics, Optical Flow and Deep Learning. CVPR Workshops 2021. View
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. View
Iulia Duta, Andrei Liviu Nicolicioiu, Marius Leordeanu: Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks. NeurIPS 2021. View
Marius Leordeanu, Iulia Paraicu: Driven by Vision: Learning Navigation by Visual Localization and Trajectory Prediction. Sensors 21(3): 852 (2021). View
Iulia Duta, Andrei L Nicolicioiu, and Marius Leordeanu, Dynamic Regions Graph Neural Networks for Spatio-Temporal Reasoning, Object Representations for Learning and Reasoning, International Conference on Neural Information Processing (NeurIPS), 2020. View
Simion-Vlad Bogolin, Ioana Croitoru, Marius Leordeanu: A hierarchical approach to vision-based language generation: from simple sentences to complex natural language. International Conference on Computational Linguistics, COLING 2020: 2436-2447 View
Alina Marcu, Vlad Licaret, Dragos Costea, Marius Leordeanu, Semantics through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation, Oral presentation at Asian Conference on Computer Vision (ACCV). View
Livia Petrescu, Cătălin Petrescu, Oana Mitruț, Gabriela Moise, Alin Moldoveanu, Florica Moldoveanu, Marius Leordeanu, Integrating Biosignals Measurement in Virtual Reality Environments for Anxiety Detection, Special Issue on Sensors and Computer Vision Techniques for 3D Object Modeling, Sensors 2020. View
Book: 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 View
Nicolae Cudlenco, Nirvana Popescu, Marius Leordeanu: Reading into the mind's eye: Boosting automatic visual recognition with EEG signals. Neurocomputing 386: 281-292 (2020). View
Oana Balan, Gabriela Moise, Alin Moldoveanu, Marius Leordeanu, Florica Moldoveanu: An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy. Sensors 20(2): 496 (2020) View
Oana Balan, Gabriela Moise, Livia Petrescu, Alin Moldoveanu, Marius Leordeanu, Florica Moldoveanu: Emotion Classification Based on Biophysical Signals and Machine Learning Techniques. Symmetry 12(1): 21 (2020) View
Florin Condrea, Victor-Andrei Ivan, Marius Leordeanu: In Search of Life: Learning from Synthetic Data to Detect Vital Signs in Videos. Computer vision and Pattern Recognition (CVPR) Workshops 2020: 1207-1216. View
Elena Burceanu, Marius Leordeanu: A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time. International Joint Conferences on Artificial Intelligence (IJCAI) 2020: 495-501. View
Petru Soviany, Claudiu Ardei, Radu Tudor Ionescu, Marius Leordeanu: Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN). Winter Applications on Computer Vision (WACV) 2020: 3452-3461 . View
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). View
Haller, Emanuela, Adina Magda Florea, and Marius Leordeanu. Iterative Knowledge Exchange Between Deep Learning and Space-Time Spectral Clustering for Unsupervised Segmentation in Videos. arXiv preprint arXiv:2012.07123 (2020). View
Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu:
Unsupervised Learning of Foreground Object Segmentation. International Journal of Computer Vision 127(9): 1279-1302 (2019). View
Oana Balan, Gabriela Moise, Alin Moldoveanu, Marius Leordeanu, Florica Moldoveanu: Fear Level Classification Based on Emotional Dimensions and Machine Learning Techniques. Sensors 19(7): 1738 (2019) View
Andretti Naiden, Vlad Paunescu, Gyeongmo Kim, ByeongMoon Jeon, Marius Leordeanu: Shift R-CNN: Deep Monocular 3D Object Detection With Closed-Form Geometric Constraints. International Conference on Image Processing (ICIP) 2019: 61-65. View
Oana Balan, Gabriela Moise, Alin Moldoveanu, Florica Moldoveanu, Marius Leordeanu: Automatic Adaptation of Exposure Intensity in VR Acrophobia Therapy, based on Deep Neural Networks. European Conference on Information Systems (ECIS) 2019. View
Andrei Liviu Nicolicioiu, Iulia Duta, Marius Leordeanu: Recurrent Space-time Graph Neural Networks. Neural Information Processing Systems, NeurIPS 2019: 12818-12830. View.
Emanuela Haller, Adina Magda Florea, Marius Leordeanu: Spacetime Graph Optimization for Video Object Segmentation. CoRR abs/1907.03326 (2019) View
Iulia Paraicu, Marius Leordeanu: Learning Navigation by Visual Localization and Trajectory Prediction. CoRR abs/1910.02818 (2019) View
Alina Marcu, Dragos Costea, Vlad Licaret, Marius Leordeanu: Towards Automatic Annotation for Semantic Segmentation in Drone Videos. CoRR abs/1910.10026 (2019) View
I. Croitoru, S. V. Bogolin, and M. Leordeanu, Unsupervised learning of foreground object detection, arXiv preprint arXiv:1808.04593. PDF
Alina Marcu, Dragos Costea, Vlad Licaret, Mihai Pirvu, Emil Slusanschi, and Marius Leordeanu, SafeUAV: Learning to estimate depth and safe landing areas for UAVs. Oral Presentation at UAVision Workshop, European Conference of Computer Vision(ECCV) 2018 [Paper PDF | Code | Dataset | Slides]
E. Burceanu, M. Leordeanu, Learning a Robust Society of Tracking Parts using Co-occurrence Constraints, In the European Conference on Computer Vision (ECCV), Oral Presentation at Visual Object Tracking Workshop, 2018. PDF
Oana Balan, Gabriela Moise, Alin Moldoveanu, Florica Moldoveanu, Marius Leordeanu, Does automatic game difficulty level adjustment improve acrophobia therapy?: differences from baseline. ACM Symposium on Virtual Reality Software and Technology VRST 2018: 78:1-78:2
D. Costea, A. Marcu, E. Slusanschi and M. Leordeanu, Roadmap Generation Using a Multi-Stage Ensemble of Deep Neural Networks With Smoothing-Based Optimization, Computer Vision and Pattern Recognition (CVPR) Workshop 2018. PDF
I. Duta, A.L. Nicolicioiu, S.V. Bogolin and M. Leordeanu, Mining for meaning: from vision to language through multiple networks consensus, British Machine Vision Conference (BMVC) 2018. PDF
Leordeanu, Marius, Vlad Licaret, Tudor Buzu, Iulia-Adriana Muntianu, and Catalin Mutu. Automatic Detection, Counting, and Measurement of Lumber Boards Using a Handheld Device. U.S. Patent Application 15/854,500, filed June 28, 2018. PDF
A. Marcu, D. Costea, E. Slusanschi and M. Leordeanu, A Multi-Stage Multi-Task Neural Network for Aerial Scene Interpretation and Geolocalization, arXiv preprint arXiv:1804.01322. PDF
Alina Marcu, Marius Leordeanu, Object Contra Context: Dual Local-Global Semantic Segmentation in Aerial Images. AAAI Workshops 2017 PDF
Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu, Unsupervised Learning from Video to Detect Foreground Objects in Single Images. International Conference on Computer Vision (ICCV) 2017 PDF
Emanuela Haller, Marius Leordeanu, Unsupervised Object Segmentation in Video by Efficient Selection of Highly Probable Positive Features. International Conference on Computer Vision (ICCV) 2017 PDF
Dragos Costea, Alina Marcu, Emil Slusanschi, Marius Leordeanu, Creating Roadmaps in Aerial Images with Generative Adversarial Networks and Smoothing-Based Optimization. International Conference on Computer Vision (ICCV) 2017 PDF. Best Paper Award at UAVision Workshop
Elena Burceanu, Marius Leordeanu, Learning a Robust Society of Tracking Parts. CoRR abs/1705.09602 (2017) PDF
Marius Leordeanu and Rahul Sukthankar, Towards a Visual Story Network Using Multiple Views for Object Recognition at Different Levels of Spatiotemporal Context, In: Opris I., Casanova M. (eds) The Physics of the Mind and Brain Disorders. Springer Series in Cognitive and Neural Systems, vol 11. Springer, Cham, 2017. Book PDF
Marius Leordeanu, Alexandra Radu, Shumeet Baluja, Rahul Sukthankar, Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision. The AAAI Conference on Artificial Intelligence, AAAI 2016: 3530-3538 PDF
Dragos Costea and Marius Leordeanu, Aerial image geolocalization from recognition and matching of roads and intersections. British Machince Vision Conference (BMVC) 2016. PDF
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, Computer Vision and Pattern Recognition (CVPR), 2017 PDF
Alina Marcu, Marius Leordeanu, Dual Local-Global Contextual Pathways for Recognition in Aerial Imagery. CoRR abs/1605.05462 (2016) PDF