Marius Leordeanu

Ioannis Stamos, Marius Leordeanu, 2004, Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004..

Towards Automatic Annotation for Semantic Segmentation in Drone Videos pdf

Marius Leordeanu, Dragos Costea, Vlad Licaret, 2019, ArXiv.

Unsupervised Visual Learning: From Pixels to Seeing

Marius Leordeanu, Marius Leordeanu, 2020 .

Towards a Visual Story Network Using Multiple Views for Object Recognition at Different Levels of Spatiotemporal Context

Rahul Sukthankar, Marius Leordeanu, R. Sukthankar, 2017 .

A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time

Marius Leordeanu, Elena Burceanu, Elena Burceanu, 2019, IJCAI.

Dual Local-Global Contextual Pathways for Recognition in Aerial Imagery pdf

Marius Leordeanu, Alina Marcu, Alina Marcu, 2016, ArXiv.

Multiple Frames Matching for Object Discovery in Video

Marius Leordeanu, Otilia Stretcu, Otilia Stretcu, 2015, BMVC.

An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy

Gabriela Moise, Marius Leordeanu, Florica Moldoveanu, 2020, Sensors.

Automatic Adaptation of Exposure Intensity in VR Acrophobia Therapy, based on Deep Neural Networks

Gabriela Moise, Marius Leordeanu, Florica Moldoveanu, 2019, ECIS.

Features in Concert: Discriminative Feature Selection meets Unsupervised Clustering pdf

Rahul Sukthankar, Marius Leordeanu, Alexandra Radu, 2014, ArXiv.

Unsupervised Learning of Object Segmentation in Video with Highly Probable Positive Features

Marius Leordeanu, 2020 .

Unsupervised Learning of Graph and Hypergraph Clustering

Marius Leordeanu, 2020 .

Learning Navigation by Visual Localization and Trajectory Prediction pdf

Marius Leordeanu, Iulia Paraicu, 2019, ArXiv.

Efficient Closed-Form Solution to Generalized Boundary Detection

Cristian Sminchisescu, Rahul Sukthankar, Marius Leordeanu, 2012, ECCV.

Spacetime Graph Optimization for Video Object Segmentation pdf

Adina Magda Florea, Emanuela Haller, Marius Leordeanu, 2019, ArXiv.

Recurrent Space-time Graphs for Video Understanding pdf

Marius Leordeanu, Iulia Duta, Andrei Liviu Nicolicioiu, 2019, ArXiv.

Emotion Classification Based on Biophysical Signals and Machine Learning Techniques

Gabriela Moise, Marius Leordeanu, Florica Moldoveanu, 2019, Symmetry.

Unsupervised Learning for Graph Matching

Martial Hebert, Rahul Sukthankar, Marius Leordeanu, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Learning a Robust Society of Tracking Parts pdf

Marius Leordeanu, Elena Burceanu, 2017, ArXiv.

Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN)

Marius Leordeanu, Radu Tudor Ionescu, Petru Soviany, 2019, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Recurrent Space-time Graph Neural Networks

Marius Leordeanu, Iulia Duta, Andrei Liviu Nicolicioiu, 2019, NeurIPS.

Towards a Human-Centered Approach for VRET Systems: Case Study for Acrophobia

Gabriela Moise, Marius Leordeanu, Florica Moldoveanu, 2019, ISD.

A hierarchical approach to vision-based language generation: from simple sentences to complex natural language

Marius Leordeanu, Ioana Croitoru, Simion-Vlad Bogolin, 2020, COLING.

Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features

Martial Hebert, Rahul Sukthankar, Marius Leordeanu, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Integrating Biosignals Measurement in Virtual Reality Environments for Anxiety Detection

Gabriela Moise, Marius Leordeanu, Florica Moldoveanu, 2020, Sensors.

Sensors system methodology for artefacts identification in Virtual Reality games

Gabriela Moise, Marius Leordeanu, Florica Moldoveanu, 2019, 2019 International Symposium on Advanced Electrical and Communication Technologies (ISAECT).

A regime switching on Covid19 analysis and prediction in Romania

Marius Leordeanu, Radu D. Stochitoiu, Ionel Popescu, 2020 .

Reading into the mind's eye: Boosting automatic visual recognition with EEG signals

Marius Leordeanu, Nirvana Popescu, Nicolae Cudlenco, 2020, Neurocomputing.

Roadmap Generation using a Multi-stage Ensemble of Deep Neural Networks with Smoothing-Based Optimization

Emil Slusanschi, Marius Leordeanu, Alina Marcu, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection

Cristian Sminchisescu, Marius Leordeanu, Mihai Zanfir, 2013, 2013 IEEE International Conference on Computer Vision.

Unsupervised Learning of Foreground Object Segmentation

Marius Leordeanu, Ioana Croitoru, Simion-Vlad Bogolin, 2018, International Journal of Computer Vision.

Fear Level Classification Based on Emotional Dimensions and Machine Learning Techniques

Gabriela Moise, Marius Leordeanu, Florica Moldoveanu, 2019, Sensors.

Unsupervised Learning of Graph and Hypergraph Matching

Marius Leordeanu, Marius Leordeanu, 2020 .

Automated feature-based range registration of urban scenes of large scale

Ioannis Stamos, Marius Leordeanu, I. Stamos, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Creating Roadmaps in Aerial Images with Generative Adversarial Networks and Smoothing-Based Optimization

Emil Slusanschi, Marius Leordeanu, Alina Marcu, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Object Categorization: Using Simple Features and Relations

Martial Hebert, Rahul Sukthankar, Marius Leordeanu, 2009 .

Unsupervised Learning in Space and Time over Several Generations of Teacher and Student Networks

Marius Leordeanu, Marius Leordeanu, 2020 .

Unsupervised Learning in Space and Time: A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks

Marius Leordeanu, Marius Leordeanu, 2020, Advances in Computer Vision and Pattern Recognition.

Unsupervised learning for graph matching

Martial Hebert, Marius Leordeanu, 2009, CVPR.

New Methods for Digital Modeling of Historic Sites

Ioannis Stamos, Marius Leordeanu, Peter K. Allen, 2003, IEEE Computer Graphics and Applications.

Unsupervised Learning Towards the Future

Marius Leordeanu, Marius Leordeanu, 2020 .

In Search of Life: Learning from Synthetic Data to Detect Vital Signs in Videos

Marius Leordeanu, Florin Condrea, Victor-Andrei Ivan, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Semi-supervised learning and optimization for hypergraph matching

Cristian Sminchisescu, Marius Leordeanu, Andrei Zanfir, 2011, 2011 International Conference on Computer Vision.

Does automatic game difficulty level adjustment improve acrophobia therapy?: differences from baseline.

Gabriela Moise, Marius Leordeanu, Florica Moldoveanu, 2018, VRST.

Generalized Boundaries from Multiple Image Interpretations

Cristian Sminchisescu, Rahul Sukthankar, Marius Leordeanu, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Smoothing-based Optimization

Martial Hebert, Marius Leordeanu, M. Hebert, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Online Selection of Discriminative Tracking Features

Yanxi Liu, Robert T. Collins, Marius Leordeanu, 2005, IEEE Trans. Pattern Anal. Mach. Intell..

Aerial image geolocalization from recognition and matching of roads and intersections pdf

Marius Leordeanu, Dragos Costea, Dragos Costea, 2016, BMVC.

Learning a Robust Society of Tracking Parts using Co-occurrence Constraints pdf

Marius Leordeanu, Elena Burceanu, Elena Burceanu, 2018, ECCV Workshops.

Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision

Rahul Sukthankar, Marius Leordeanu, Shumeet Baluja, 2015, AAAI.

Unsupervised Object Segmentation in Video by Efficient Selection of Highly Probable Positive Features

Emanuela Haller, Marius Leordeanu, Emanuela Haller, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

A Multi-Stage Multi-Task Neural Network for Aerial Scene Interpretation and Geolocalization pdf

Emil Slusanschi, Marius Leordeanu, Alina Marcu, 2018, ArXiv.

Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus pdf

Rahul Sukthankar, Marius Leordeanu, Alina Marcu, 2020, AAAI.

Feature Selection Meets Unsupervised Learning

Marius Leordeanu, Marius Leordeanu, 2020 .

How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image

Dim P. Papadopoulos, Marius Leordeanu, Radu Tudor Ionescu, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

3D modeling of historic sites using range and image data

Ioannis Stamos, Marius Leordeanu, Peter K. Allen, 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus Shift

Emanuela Haller, Marius Leordeanu, Elena Burceanu, 2021, BMVC.

Depth distillation: unsupervised metric depth estimation for UAVs by finding consensus between kinematics, optical flow and deep learning

Emil Slusanschi, Rahul Sukthankar, Marius Leordeanu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Unsupervised Domain Adaptation through Iterative Consensus Shift in a Multi-Task Graph pdf

Emanuela Haller, Marius Leordeanu, Elena Burceanu, 2021, ArXiv.

TeachText: CrossModal Generalized Distillation for Text-Video Retrieval pdf

Hailin Jin, Marius Leordeanu, Samuel Albanie, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).