Marius Leordeanu

According to our database1, Marius Leordeanu authored at least 75 papers between 2003 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Iterative Knowledge Exchange Between Deep Learning and Space-Time Spectral Clustering for Unsupervised Segmentation in Videos.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking over Space and Time.
CoRR, 2022

UFO Depth: Unsupervised learning with flow-based odometry optimization for metric depth estimation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Driven by Vision: Learning Navigation by Visual Localization and Trajectory Prediction.
Sensors, 2021

Unsupervised Domain Adaptation through Iterative Consensus Shift in a Multi-Task Graph.
CoRR, 2021

Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

TeachText: CrossModal Generalized Distillation for Text-Video Retrieval.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Depth Distillation: Unsupervised Metric Depth Estimation for UAVs by Finding Consensus Between Kinematics, Optical Flow and Deep Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus Shift.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
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, ISBN: 978-3-030-42127-4, 2020

Emotion Classification Based on Biophysical Signals and Machine Learning Techniques.
Symmetry, 2020

Integrating Biosignals Measurement in Virtual Reality Environments for Anxiety Detection.
Sensors, 2020

An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy.
Sensors, 2020

Reading into the mind's eye: Boosting automatic visual recognition with EEG signals.
Neurocomputing, 2020

A self-supervised neural-analytic method to predict the evolution of COVID-19 in Romania.
CoRR, 2020

Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN).
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Classifying the Levels of Fear by Means of Machine Learning Techniques and VR in a Holonic-Based System for Treating Phobias. Experiments and Results.
Proceedings of the Virtual, Augmented and Mixed Reality. Industrial and Everyday Life Applications, 2020

eTher - An Assistive Virtual Agent for Acrophobia Therapy in Virtual Reality.
Proceedings of the HCI International 2020 - Late Breaking Papers: Virtual and Augmented Reality, 2020

In Search of Life: Learning from Synthetic Data to Detect Vital Signs in Videos.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A hierarchical approach to vision-based language generation: from simple sentences to complex natural language.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Semantics Through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Fear Level Classification Based on Emotional Dimensions and Machine Learning Techniques.
Sensors, 2019

Unsupervised Learning of Foreground Object Segmentation.
Int. J. Comput. Vis., 2019

Towards Automatic Annotation for Semantic Segmentation in Drone Videos.
CoRR, 2019

Learning Navigation by Visual Localization and Trajectory Prediction.
CoRR, 2019

Spacetime Graph Optimization for Video Object Segmentation.
CoRR, 2019

A Spectral Approach to Unsupervised Object Segmentation in Video.
CoRR, 2019

Recurrent Space-time Graphs for Video Understanding.
CoRR, 2019

Recurrent Space-time Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Towards a Human-Centered Approach for VRET Systems: Case Study for Acrophobia.
Proceedings of the Information Systems Development: Information Systems Beyond 2020, 2019

Shift R-CNN: Deep Monocular 3D Object Detection With Closed-Form Geometric Constraints.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Automatic Adaptation of Exposure Intensity in VR Acrophobia Therapy, based on Deep Neural Networks.
Proceedings of the 27th European Conference on Information Systems, 2019

2018
Unsupervised learning of foreground object detection.
CoRR, 2018

A Multi-Stage Multi-Task Neural Network for Aerial Scene Interpretation and Geolocalization.
CoRR, 2018

Does automatic game difficulty level adjustment improve acrophobia therapy?: differences from baseline.
Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology, 2018

SafeUAV: Learning to Estimate Depth and Safe Landing Areas for UAVs from Synthetic Data.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Learning a Robust Society of Tracking Parts Using Co-occurrence Constraints.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Roadmap Generation Using a Multi-Stage Ensemble of Deep Neural Networks With Smoothing-Based Optimization.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Mining for meaning: from vision to language through multiple networks consensus.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Learning a Robust Society of Tracking Parts.
CoRR, 2017

Creating Roadmaps in Aerial Images with Generative Adversarial Networks and Smoothing-Based Optimization.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Unsupervised Object Segmentation in Video by Efficient Selection of Highly Probable Positive Features.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Unsupervised Learning from Video to Detect Foreground Objects in Single Images.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Object Contra Context: Dual Local-Global Semantic Segmentation in Aerial Images.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Dual Local-Global Contextual Pathways for Recognition in Aerial Imagery.
CoRR, 2016

How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Aerial image geolocalization from recognition and matching of roads and intersections.
Proceedings of the British Machine Vision Conference 2016, 2016

Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Stories in the Eye: Contextual Visual Interactions for Efficient Video to Language Translation.
CoRR, 2015

Multiple Frames Matching for Object Discovery in Video.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Generalized Boundaries from Multiple Image Interpretations.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Thoughts on a Recursive Classifier Graph: a Multiclass Network for Deep Object Recognition.
CoRR, 2014

Features in Concert: Discriminative Feature Selection meets Unsupervised Clustering.
CoRR, 2014

2013
The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Locally Affine Sparse-to-Dense Matching for Motion and Occlusion Estimation.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Efficient Hypergraph Clustering.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Unsupervised Learning for Graph Matching.
Int. J. Comput. Vis., 2012

Efficient Closed-Form Solution to Generalized Boundary Detection.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Semi-supervised learning and optimization for hypergraph matching.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2009
An Integer Projected Fixed Point Method for Graph Matching and MAP Inference.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Unsupervised learning for graph matching.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation.
Proceedings of the Computer Vision, 2008

Smoothing-based Optimization.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Efficient MAP approximation for dense energy functions.
Proceedings of the Machine Learning, 2006

Discovering Texture Regularity as a Higher-Order Correspondence Problem.
Proceedings of the Computer Vision, 2006

2005
Online Selection of Discriminative Tracking Features.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

A Spectral Technique for Correspondence Problems Using Pairwise Constraints.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Unsupervised Learning of Object Features from Video Sequences.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Efficient Model Creation of Large Structures based on Range Segmentation.
Proceedings of the 2nd International Symposium on 3D Data Processing, 2004

2003
New Methods for Digital Modeling of Historic Sites.
IEEE Computer Graphics and Applications, 2003

3D Modeling of Historic Sites Using Range and Image Data.
Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

Automated Feature-Based Range Registration of Urban Scenes of Large Scale.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003


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