Publications

For additional results of our work and a more comprehensive understanding of our research please visit our group's website: Aerial Image Understanding.

B. Conference papers

2021

• Marius Leordeanu, Mihai Pirvu, Dragos Costea, Alina Marcu, Emil Slusanschi and Rahul Sukthankar. "Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus.", AAAI 2021 (Rank A*).

• 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 (Rank A*).

• Mihai Pirvu, Victor Robu, Vlad Licaret, Dragos Costea, Alina Marcu, Emil Slusanschi, Rahul Sukthankar and Marius Leordeanu. "Depth distillation: unsupervised metric depth estimation for UAVs by finding consensus between kinematics, optical flow and deep learning", CVPR 2021 Embedded Vision Workshop (Rank A*).

• Emanuela Haller, Elena Burceanu and Marius Leordeanu. Unsupervised Domain Adaptation through Iterative Consensus Shift in a Multi-Task Graph, BMVC 2021.

• Oana Balan, Alin Moldoveanu and Marius Leordeanu. A Machine Learning Approach to Automatic Phobia Therapy with Virtual Reality, 2021.

• 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.

2020

• Elena Burceanu and Marius Leordeanu, A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time, IJCAI (Rank A*), 2020.

• Petre Soviany, Claudiu Ardei, Radu Tudor Ionescu, Marius Leordeanu, Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN), WACV (Rank A), 2020.

• Nicolae-Catalin Ristea, Radu Tudor Ionescu, Are you wearing a mask? Improving mask detection from speech using augmentation by cycle-consistent GANs, INTERSPEECH 2020 (Rank A), 2020.

• Alina Marcu, Vlad Licaret, Dragos Costea, Marius Leordeanu, Semantics through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation, ACCV (Rank A), 2020.

• Boyan Yuan and Nabil Belbachir, Real-time detection of multiple targets from a moving 360◦ panoramic imager in the wild, Embedded Vision Workshop, ECCV (Rank A), 2020.

• Vlad Bogolin, Ioana Croitoru, Marius Leordeanu, A hierarchical approach to vision-based language generation: from simple sentences to complex natural language, COLING (Rank A), 2020.

• Mihai Masala, Stefan Ruseti, Mihai Dascalu, RoBERT – A Romanian BERT Model, COLING (Rank A), 2020.

• Cezara Benegui, Radu Tudor Ionescu, To augment or not to augment? Data augmentation in user identification based on motion sensors, ICONIP (Rank A), 2020.

• Iulia Duta, Andrei Nicolicioiu, Marius Leordeanu, Dynamic Regions Graph Neural Networks for Spatio-Temporal Reasoning, NeurIPS Workshops (Rank A), 2020.

• Iulia Duta, Andrei Nicolicioiu and Marius Leordeanu. Discovering Dynamic Salient Regions with Spatio-Temporal Graph Neural Networks, 2020.

• Marian Petrica, Radu Stochitoiu, Marius Leordeanu, Ionel Popescu. A regime switching on Covid19 analysis and prediction in Romania, 2020.

• Oana Bălan, Ștefania Cristea, Gabriela Moise, Livia Petrescu, Silviu Ivașcu, Alin Moldoveanu, Florica Moldoveanu, Marius Leordeanu. eTher–An Assistive Virtual Agent for Acrophobia Therapy in Virtual Reality, ICHCI 2020.

• Oana Bălan, Gabriela Moise, Alin Moldoveanu, Florica Moldoveanu, Marius Leordeanu. Classifying the Levels of Fear by Means of Machine Learning Techniques and VR in a Holonic-Based System for Treating Phobias. Experiments and Results, ICHCI 2020.

• Radu D Stochiţoiu, Marian Petrica, Traian Rebedea, Ionel Popescu, Marius Leordeanu. A self-supervised neural-analytic method to predict the evolution of COVID-19 in Romania, 2020.

• Florin Condrea, Victor-Andrei Ivan, Marius Leordeanu. In Search of Life: Learning from Synthetic Data to Detect Vital Signs in Videos, CVPR 2020.

2019

• Andrei Nicolicioiu, Iulia Duta, and Marius Leordeanu. "Recurrent Space-time Graph Neural Networks." Neural Inf. Proc. Systems (NeurIPS), 2019.

• Oana Bălan, Alin Moldoveanu, Livia Petrescu, Gabriela Moise, Ștefania Cristea, Cătălin Petrescu, Florica Moldoveanu, Marius Leordeanu. Sensors system methodology for artefacts identification in Virtual Reality games, ISAECT 2019.

• Alina Marcu, Dragos Costea, Vlad Licaret, Marius Leordeanu. Towards automatic annotation for semantic segmentation in drone videos, 2019.

• Iulia Paraicu, Marius Leordeanu. Learning Navigation by Visual Localization and Trajectory Prediction, 2019.

• Oana Bălan, Ștefania Cristea, Alin Moldoveanu, Gabriela Moise, Marius Leordeanu, Florica Moldoveanu. Towards a Human-Centered Approach for VRET Systems: Case Study for Acrophobia, 2019.

• Emanuela Haller, Adina Magda Florea, Marius Leordeanu. Spacetime Graph Optimization for Video Object Segmentation, 2019.

• 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.

C. Journal papers

2021

• Emanuela Haller, Adina Magda Florea and Marius Leordeanu, Iterative Knowledge Exchange Between Deep Learning and Space-Time Spectral Clustering for Unsupervised Segmentation in Videos. PAMI, 2021. Impact Factor: 17.861.

• 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. PAMI, 2021. Impact Factor: 17.861.

• Marius Leordeanu and Iulia Paraicu. Driven by vision: learning navigation by visual localization and trajectory prediction. Sensors. 2021 Impact Factor: 3.575.

2020

• Oana Bălan, Gabriela Moise, Livia Petrescu, Alin Moldoveanu, Marius Leordeanu and Florica Moldoveanu 2020. Emotion Classification Based on Biophysical Signals and Machine Learning Techniques. Symmetry 2020 Impact Factor: 2.645.

• 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 2020. IF: 3.575.

• Cezara Benegui, Radu Tudor Ionescu, Convolutional Neural Networks for User Identification Based on Motion Sensors Represented as Images, IEEE Access. 2020. Impact Factor: 3.745.

• 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. 2020. Impact Factor: 3.745.

• Livia Petrescu, Catalin Petrescu, Oana Mitruț, Gabriela Moise, Alina Moldoveanu, Florica Moldoveanu, and Marius Leordeanu. Integrating Biosignals Measurement in Virtual Reality Environments for Anxiety Detection. Sensors 2020. Impact Factor: 3.575.

• Nicolae Cudlenco, Nirvana Popescu and Marius Leordeanu, 2019. Reading into the mind’s eye: boosting automatic visual recognition with EEG signals. Neurocomputing. 2020 Impact Factor: 4.438.

2019

• Ioana Croitoru, Vlad Bogolin and Marius Leordeanu, 2019. Unsupervised learning of foreground object segmentation. Int. Journal of Computer Vision, 127(9), Impact Factor: 5.698.