Marius Leordeanu

129 papers A* 19A 7B 3Journal 72Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning on the Fly: Replay-Based Continual Object Perception for Indoor Drones. CoRR Sebastian-Ion Nae, Mihai-Eugen Barbu, Sebastian Mocanu, Marius Leordeanu
2026	J	`jnl`	Non-verbal Real-time Human-AI Interaction in Constrained Robotic Environments. CoRR Dragos Costea, Alina Marcu, Cristina Lazar, Marius Leordeanu
2025	J	`jnl`	A self-supervised cyclic neural-analytic approach for novel view synthesis and 3D reconstruction. CoRR Dragos Costea, Alina Marcu, Marius Leordeanu
2025	J	`jnl`	Closer to Ground Truth: Realistic Shape and Appearance Labeled Data Generation for Unsupervised Underwater Image Segmentation. CoRR Andrei Jelea, Ahmed Nabil Belbachir, Marius Leordeanu
2025	—	`conf`	Efficient Self-Supervised Neuro-Analytic Visual Servoing for Real-Time Quadrotor Control. ICCVW Sebastian Mocanu, Sebastian-Ion Nae, Mihai-Eugen Barbu, Marius Leordeanu
2025	J	`jnl`	Efficient Self-Supervised Neuro-Analytic Visual Servoing for Real-time Quadrotor Control. CoRR Sebastian Mocanu, Sebastian-Ion Nae, Mihai-Eugen Barbu, Marius Leordeanu
2025	J	`jnl`	From Vision To Language through Graph of Events in Space and Time: An Explainable Self-supervised Approach. CoRR Mihai Masala, Marius Leordeanu
2025	—	`conf`	Inside Knowledge: Graph-based Path Generation with Explainable Data Augmentation and Curriculum Learning for Visual Indoor Navigation. ICCVW Daniel Airinei, Elena Burceanu, Marius Leordeanu
2025	J	`jnl`	Inside Knowledge: Graph-based Path Generation with Explainable Data Augmentation and Curriculum Learning for Visual Indoor Navigation. CoRR Daniel Airinei, Elena Burceanu, Marius Leordeanu
2025	J	`jnl`	K-Means Clustering for Portfolio Optimization: Symmetry in Risk-Return Tradeoff, Liquidity, Profitability, and Solvency. Symmetry Marcel Ioan Bolos, Stefan Rusu, Marius Leordeanu, Diana Claudia Sabau-Popa, Diana Claudia Perticas, Mihai-Ioan Crisan
2025	J	`jnl`	Learning a fast 3D spectral approach to object segmentation and tracking over space and time. Artif. Intell. Elena Burceanu, Marius Leordeanu
2025	J	`jnl`	Learning from Random Subspace Exploration: Generalized Test-Time Augmentation with Self-supervised Distillation. CoRR Andrei Jelea, Ahmed Nabil Belbachir, Marius Leordeanu
2025	J	`jnl`	Multi-modal video data-pipelines for machine learning with minimal human supervision. CoRR Mihai Cristian Pîrvu, Marius Leordeanu
2025	J	`jnl`	Probabilistic Hyper-Graphs using Multiple Randomly Masked Autoencoders for Semi-supervised Multi-modal Multi-task Learning. CoRR Mihai Cristian Pîrvu, Marius Leordeanu
2025	J	`jnl`	Self-Supervised Learning to Fly using Efficient Semantic Segmentation and Metric Depth Estimation for Low-Cost Autonomous UAVs. CoRR Sebastian Mocanu, Emil Slusanschi, Marius Leordeanu
2025	J	`jnl`	TeachText: CrossModal text-video retrieval through generalized distillation. Artif. Intell. Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu, Hailin Jin, Andrew Zisserman, Yang Liu, Samuel Albanie
2025	J	`jnl`	Towards Zero-Shot & Explainable Video Description by Reasoning over Graphs of Events in Space and Time. CoRR Mihai Masala, Marius Leordeanu
2025	J	`jnl`	With Great Context Comes Great Prediction Power: Classifying Objects via Geo-Semantic Scene Graphs. CoRR Ciprian Constantinescu, Marius Leordeanu
2024	J	`jnl`	"Vorbeşti Româneşte?" A Recipe to Train Powerful Romanian LLMs with English Instructions. CoRR Mihai Masala, Denis C. Ilie-Ablachim, Alexandru Dima, Dragos Corlatescu, Miruna Zavelca, Ovio Olaru, Simina-Maria Terian, Andrei Terian, Marius Leordeanu, Horia Velicu, Marius Popescu, Mihai Dascalu, Traian Rebedea
2024	A	`conf`	A self-supervised cyclic neural-analytic approach for novel view synthesis and 3D reconstruction. BMVC Dragos Costea, Alina Marcu, Marius Leordeanu
2024	J	`jnl`	Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms. Comput. Biol. Medicine Florin Condrea, Saikiran Rapaka, Lucian Mihai Itu, Puneet Sharma, Jonathan Sperl, A Mohamed Ali, Marius Leordeanu
2024	J	`jnl`	Clarity in complexity: how aggregating explanations resolves the disagreement problem. Artif. Intell. Rev. Oana Mitrut, Gabriela Moise, Alin Moldoveanu, Florica Moldoveanu, Marius Leordeanu, Livia Petrescu
2024	—	`conf`	Closer to Ground Truth: Realistic Shape and Appearance Labeled Data Generation for Unsupervised Underwater Image Segmentation. ECCV Workshops (9) Andrei Jelea, Ahmed Nabil Belbachir, Marius Leordeanu
2024	J	`jnl`	Label up: Learning Pulmonary Embolism Segmentation from Image Level Annotation through Model Explainability. CoRR Florin Condrea, Saikiran Rapaka, Marius Leordeanu
2024	J	`jnl`	Maia: A Real-time Non-Verbal Chat for Human-AI Interaction. CoRR Dragos Costea, Alina Marcu, Cristina Lazar, Marius Leordeanu
2024	J	`jnl`	Multiple Random Masking Autoencoder Ensembles for Robust Multimodal Semi-supervised Learning. CoRR Alexandru-Raul Todoran, Marius Leordeanu
2024	J	`jnl`	OpenLLM-Ro - Technical Report on Open-source Romanian LLMs. CoRR Mihai Masala, Denis C. Ilie-Ablachim, Dragos Corlatescu, Miruna Zavelca, Marius Leordeanu, Horia Velicu, Marius Popescu, Mihai Dascalu, Traian Rebedea
2024	—	`conf`	“Vorbești Românește?” A Recipe to Train Powerful Romanian LLMs with English Instructions. EMNLP (Findings) Mihai Masala, Denis C. Ilie-Ablachim, Alexandru Dima, Dragos-Georgian Corlatescu, Miruna-Andreea Zavelca, Ovio Olaru, Simina-Maria Terian, Andrei Terian, Marius Leordeanu, Horia Velicu, Marius Popescu, Mihai Dascalu, Traian Rebedea
2023	J	`jnl`	Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms. CoRR Florin Condrea, Saikiran Rapaka, Lucian Mihai Itu, Puneet Sharma, Jonathan Sperl, A Mohamed Ali, Marius Leordeanu
2023	—	`conf`	Explaining Vision and Language through Graphs of Events in Space and Time. ICCV (Workshops) Mihai Masala, Nicolae Cudlenco, Traian Rebedea, Marius Leordeanu
2023	J	`jnl`	Explaining Vision and Language through Graphs of Events in Space and Time. CoRR Mihai Masala, Nicolae Cudlenco, Traian Rebedea, Marius Leordeanu
2023	J	`jnl`	GEST: the Graph of Events in Space and Time as a Common Representation between Vision and Language. CoRR Mihai Masala, Nicolae Cudlenco, Traian Rebedea, Marius Leordeanu
2023	—	`conf`	JEDI: Joint Expert Distillation in a Semi-Supervised Multi-Dataset Student-Teacher Scenario for Video Action Recognition. ICCV (Workshops) Lucian Bicsi, Bogdan Alexe, Radu Tudor Ionescu, Marius Leordeanu
2023	J	`jnl`	JEDI: Joint Expert Distillation in a Semi-Supervised Multi-Dataset Student-Teacher Scenario for Video Action Recognition. CoRR Lucian Bicsi, Bogdan Alexe, Radu Tudor Ionescu, Marius Leordeanu
2023	—	`conf`	Multi-Task Hypergraphs for Semi-supervised Learning using Earth Observations. ICCV (Workshops) Mihai Cristian Pîrvu, Alina Marcu, Alexandra Dobrescu, Nabil Belbachir, Marius Leordeanu
2023	J	`jnl`	Multi-Task Hypergraphs for Semi-supervised Learning using Earth Observations. CoRR Mihai Cristian Pîrvu, Alina Marcu, Alexandra Dobrescu, Ahmed Nabil Belbachir, Marius Leordeanu
2023	—	`conf`	Self-supervised Hypergraphs for Learning Multiple World Interpretations. ICCV (Workshops) Alina Marcu, Mihai Cristian Pîrvu, Dragos Costea, Emanuela Haller, Emil Slusanschi, Nabil Belbachir, Rahul Sukthankar, Marius Leordeanu
2023	J	`jnl`	Self-supervised Hypergraphs for Learning Multiple World Interpretations. CoRR Alina Marcu, Mihai Cristian Pîrvu, Dragos Costea, Emanuela Haller, Emil Slusanschi, Ahmed Nabil Belbachir, Rahul Sukthankar, Marius Leordeanu
2023	J	`jnl`	Self-supervised novel 2D view synthesis of large-scale scenes with efficient multi-scale voxel carving. CoRR Alexandra Budisteanu, Dragos Costea, Alina Marcu, Marius Leordeanu
2022	J	`jnl`	Iterative Knowledge Exchange Between Deep Learning and Space-Time Spectral Clustering for Unsupervised Segmentation in Videos. IEEE Trans. Pattern Anal. Mach. Intell. Emanuela Haller, Adina Magda Florea, Marius Leordeanu
2022	J	`jnl`	Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking over Space and Time. CoRR Elena Burceanu, Marius Leordeanu
2022	A*	`conf`	UFO Depth: Unsupervised learning with flow-based odometry optimization for metric depth estimation. ICRA Vlad Licaret, Victor Robu, Alina Marcu, Dragos Costea, Emil Slusanschi, Rahul Sukthankar, Marius Leordeanu
2021	—	`conf`	Depth Distillation: Unsupervised Metric Depth Estimation for UAVs by Finding Consensus Between Kinematics, Optical Flow and Deep Learning. CVPR Workshops Mihai Cristian Pîrvu, Victor Robu, Vlad Licaret, Dragos Costea, Alina Marcu, Emil Slusanschi, Rahul Sukthankar, Marius Leordeanu
2021	A*	`conf`	Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks. NeurIPS Iulia Duta, Andrei Liviu Nicolicioiu, Marius Leordeanu
2021	J	`jnl`	Driven by Vision: Learning Navigation by Visual Localization and Trajectory Prediction. Sensors Marius Leordeanu, Iulia Paraicu
2021	A	`conf`	Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus Shift. BMVC Emanuela Haller, Elena Burceanu, Marius Leordeanu
2021	A*	`conf`	Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus. AAAI Marius Leordeanu, Mihai Cristian Pîrvu, Dragos Costea, Alina Elena Marcu, Emil Slusanschi, Rahul Sukthankar
2021	J	`jnl`	TEACHTEXT: CrossModal Generalized Distillation for Text-Video Retrieval. CoRR Ioana Croitoru, Simion-Vlad Bogolin, Yang Liu, Samuel Albanie, Marius Leordeanu, Hailin Jin, Andrew Zisserman
2021	A*	`conf`	TeachText: CrossModal Generalized Distillation for Text-Video Retrieval. ICCV Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu, Hailin Jin, Andrew Zisserman, Samuel Albanie, Yang Liu
2021	J	`jnl`	Unsupervised Domain Adaptation through Iterative Consensus Shift in a Multi-Task Graph. CoRR Emanuela Haller, Elena Burceanu, Marius Leordeanu
2020	A*	`conf`	A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time. IJCAI Elena Burceanu, Marius Leordeanu
2020	B	`conf`	A hierarchical approach to vision-based language generation: from simple sentences to complex natural language. COLING Simion-Vlad Bogolin, Ioana Croitoru, Marius Leordeanu
2020	J	`jnl`	A self-supervised neural-analytic method to predict the evolution of COVID-19 in Romania. CoRR Radu D. Stochitoiu, Traian Rebedea, Ionel Popescu, Marius Leordeanu
2020	J	`jnl`	An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy. Sensors Oana Balan, Gabriela Moise, Alin Moldoveanu, Marius Leordeanu, Florica Moldoveanu
2020	—	`conf`	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) Oana Balan, Gabriela Moise, Alin Moldoveanu, Florica Moldoveanu, Marius Leordeanu
2020	J	`jnl`	Emotion Classification Based on Biophysical Signals and Machine Learning Techniques. Symmetry Oana Balan, Gabriela Moise, Livia Petrescu, Alin Moldoveanu, Marius Leordeanu, Florica Moldoveanu
2020	A	`conf`	Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN). WACV Petru Soviany, Claudiu Ardei, Radu Tudor Ionescu, Marius Leordeanu
2020	—	`conf`	In Search of Life: Learning from Synthetic Data to Detect Vital Signs in Videos. CVPR Workshops Florin Condrea, Victor-Andrei Ivan, Marius Leordeanu
2020	J	`jnl`	In Search of Life: Learning from Synthetic Data to Detect Vital Signs in Videos. CoRR Florin Condrea, Victor-Andrei Ivan, Marius Leordeanu
2020	J	`jnl`	Integrating Biosignals Measurement in Virtual Reality Environments for Anxiety Detection. Sensors Livia Petrescu, Catalin Petrescu, Oana Mitrut, Gabriela Moise, Alin Moldoveanu, Florica Moldoveanu, Marius Leordeanu
2020	J	`jnl`	Iterative Knowledge Exchange Between Deep Learning and Space-Time Spectral Clustering for Unsupervised Segmentation in Videos. CoRR Emanuela Haller, Adina Magda Florea, Marius Leordeanu
2020	J	`jnl`	Reading into the mind's eye: Boosting automatic visual recognition with EEG signals. Neurocomputing Nicolae Cudlenco, Nirvana Popescu, Marius Leordeanu
2020	—	`conf`	Semantics Through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation. ACCV (1) Alina Marcu, Vlad Licaret, Dragos Costea, Marius Leordeanu
2020	J	`jnl`	Semantics through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation. CoRR Alina Marcu, Vlad Licaret, Dragos Costea, Marius Leordeanu
2020	J	`jnl`	Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus. CoRR Marius Leordeanu, Mihai Cristian Pîrvu, Dragos Costea, Alina Marcu, Emil Slusanschi, Rahul Sukthankar
2020	—	`book`	Unsupervised Learning in Space and Time - A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks Marius Leordeanu
2020	—	`conf`	eTher - An Assistive Virtual Agent for Acrophobia Therapy in Virtual Reality. HCI (46) Oana Balan, Stefania Cristea, Gabriela Moise, Livia Petrescu, Silviu Ivascu, Alin Moldoveanu, Florica Moldoveanu, Marius Leordeanu
2019	J	`jnl`	A Spectral Approach to Unsupervised Object Segmentation in Video. CoRR Elena Burceanu, Marius Leordeanu
2019	—	`conf`	Automatic Adaptation of Exposure Intensity in VR Acrophobia Therapy, based on Deep Neural Networks. ECIS Oana Balan, Gabriela Moise, Alin Moldoveanu, Florica Moldoveanu, Marius Leordeanu
2019	J	`jnl`	Fear Level Classification Based on Emotional Dimensions and Machine Learning Techniques. Sensors Oana Balan, Gabriela Moise, Alin Moldoveanu, Marius Leordeanu, Florica Moldoveanu
2019	J	`jnl`	Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN). CoRR Petru Soviany, Claudiu Ardei, Radu Tudor Ionescu, Marius Leordeanu
2019	J	`jnl`	Learning Navigation by Visual Localization and Trajectory Prediction. CoRR Iulia Paraicu, Marius Leordeanu
2019	A*	`conf`	Recurrent Space-time Graph Neural Networks. NeurIPS Andrei Liviu Nicolicioiu, Iulia Duta, Marius Leordeanu
2019	J	`jnl`	Recurrent Space-time Graphs for Video Understanding. CoRR Andrei Liviu Nicolicioiu, Iulia Duta, Marius Leordeanu
2019	B	`conf`	Shift R-CNN: Deep Monocular 3D Object Detection With Closed-Form Geometric Constraints. ICIP Andretti Naiden, Vlad Paunescu, Gyeongmo Kim, ByeongMoon Jeon, Marius Leordeanu
2019	J	`jnl`	Shift R-CNN: Deep Monocular 3D Object Detection with Closed-Form Geometric Constraints. CoRR Andretti Naiden, Vlad Paunescu, Gyeongmo Kim, ByeongMoon Jeon, Marius Leordeanu
2019	J	`jnl`	Spacetime Graph Optimization for Video Object Segmentation. CoRR Emanuela Haller, Adina Magda Florea, Marius Leordeanu
2019	J	`jnl`	Towards Automatic Annotation for Semantic Segmentation in Drone Videos. CoRR Alina Marcu, Dragos Costea, Vlad Licaret, Marius Leordeanu
2019	—	`conf`	Towards a Human-Centered Approach for VRET Systems: Case Study for Acrophobia. ISD Oana Balan, Stefania Cristea, Alin Moldoveanu, Gabriela Moise, Marius Leordeanu, Florica Moldoveanu
2019	J	`jnl`	Unsupervised Learning of Foreground Object Segmentation. Int. J. Comput. Vis. Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu
2018	J	`jnl`	A Multi-Stage Multi-Task Neural Network for Aerial Scene Interpretation and Geolocalization. CoRR Alina Marcu, Dragos Costea, Emil Slusanschi, Marius Leordeanu
2018	B	`conf`	Does automatic game difficulty level adjustment improve acrophobia therapy?: differences from baseline. VRST Oana Balan, Gabriela Moise, Alin Moldoveanu, Florica Moldoveanu, Marius Leordeanu
2018	—	`conf`	Learning a Robust Society of Tracking Parts Using Co-occurrence Constraints. ECCV Workshops (1) Elena Burceanu, Marius Leordeanu
2018	J	`jnl`	Learning a Robust Society of Tracking Parts using Co-occurrence Constraints. CoRR Elena Burceanu, Marius Leordeanu
2018	A	`conf`	Mining for meaning: from vision to language through multiple networks consensus. BMVC Iulia Duta, Andrei Liviu Nicolicioiu, Simion-Vlad Bogolin, Marius Leordeanu
2018	J	`jnl`	Mining for meaning: from vision to language through multiple networks consensus. CoRR Iulia Duta, Andrei Liviu Nicolicioiu, Simion-Vlad Bogolin, Marius Leordeanu
2018	—	`conf`	Roadmap Generation Using a Multi-Stage Ensemble of Deep Neural Networks With Smoothing-Based Optimization. CVPR Workshops Dragos Costea, Alina Marcu, Emil Slusanschi, Marius Leordeanu
2018	—	`conf`	SafeUAV: Learning to Estimate Depth and Safe Landing Areas for UAVs from Synthetic Data. ECCV Workshops (2) Alina Marcu, Dragos Costea, Vlad Licaret, Mihai Cristian Pîrvu, Emil Slusanschi, Marius Leordeanu
2018	J	`jnl`	Unsupervised learning of foreground object detection. CoRR Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu
2017	—	`conf`	Creating Roadmaps in Aerial Images with Generative Adversarial Networks and Smoothing-Based Optimization. ICCV Workshops Dragos Costea, Alina Marcu, Marius Leordeanu, Emil Slusanschi
2017	J	`jnl`	How hard can it be? Estimating the difficulty of visual search in an image. CoRR Radu Tudor Ionescu, Bogdan Alexe, Marius Leordeanu, Marius Popescu, Dim P. Papadopoulos, Vittorio Ferrari
2017	J	`jnl`	Learning a Robust Society of Tracking Parts. CoRR Elena Burceanu, Marius Leordeanu
2017	—	`conf`	Object Contra Context: Dual Local-Global Semantic Segmentation in Aerial Images. AAAI Workshops Alina Elena Marcu, Marius Leordeanu
2017	A*	`conf`	Unsupervised Learning from Video to Detect Foreground Objects in Single Images. ICCV Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu
2017	A*	`conf`	Unsupervised Object Segmentation in Video by Efficient Selection of Highly Probable Positive Features. ICCV Emanuela Haller, Marius Leordeanu
2017	J	`jnl`	Unsupervised learning from video to detect foreground objects in single images. CoRR Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu
2017	J	`jnl`	Unsupervised object segmentation in video by efficient selection of highly probable positive features. CoRR Emanuela Haller, Marius Leordeanu
2016	A	`conf`	Aerial image geolocalization from recognition and matching of roads and intersections. BMVC Dragos Costea, Marius Leordeanu
2016	J	`jnl`	Aerial image geolocalization from recognition and matching of roads and intersections. CoRR Dragos Costea, Marius Leordeanu
2016	J	`jnl`	Dual Local-Global Contextual Pathways for Recognition in Aerial Imagery. CoRR Alina Marcu, Marius Leordeanu
2016	A*	`conf`	How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image. CVPR Radu Tudor Ionescu, Bogdan Alexe, Marius Leordeanu, Marius Popescu, Dim P. Papadopoulos, Vittorio Ferrari
2016	A*	`conf`	Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision. AAAI Marius Leordeanu, Alexandra Radu, Shumeet Baluja, Rahul Sukthankar
2015	J	`jnl`	Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision. CoRR Marius Leordeanu, Alexandra Radu, Shumeet Baluja, Rahul Sukthankar
2015	A	`conf`	Multiple Frames Matching for Object Discovery in Video. BMVC Otilia Stretcu, Marius Leordeanu
2015	J	`jnl`	Stories in the Eye: Contextual Visual Interactions for Efficient Video to Language Translation. CoRR Anirudh Goyal, Marius Leordeanu
2014	J	`jnl`	Features in Concert: Discriminative Feature Selection meets Unsupervised Clustering. CoRR Marius Leordeanu, Alexandra Radu, Rahul Sukthankar
2014	J	`jnl`	Generalized Boundaries from Multiple Image Interpretations. IEEE Trans. Pattern Anal. Mach. Intell. Marius Leordeanu, Rahul Sukthankar, Cristian Sminchisescu
2014	J	`jnl`	Thoughts on a Recursive Classifier Graph: a Multiclass Network for Deep Object Recognition. CoRR Marius Leordeanu, Rahul Sukthankar
2013	A*	`conf`	Locally Affine Sparse-to-Dense Matching for Motion and Occlusion Estimation. ICCV Marius Leordeanu, Andrei Zanfir, Cristian Sminchisescu
2013	A*	`conf`	The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection. ICCV Mihai Zanfir, Marius Leordeanu, Cristian Sminchisescu
2012	—	`conf`	Efficient Closed-Form Solution to Generalized Boundary Detection. ECCV (4) Marius Leordeanu, Rahul Sukthankar, Cristian Sminchisescu
2012	A	`conf`	Efficient Hypergraph Clustering. AISTATS Marius Leordeanu, Cristian Sminchisescu
2012	J	`jnl`	Generalized Boundaries from Multiple Image Interpretations CoRR Marius Leordeanu, Rahul Sukthankar, Cristian Sminchisescu
2012	J	`jnl`	Unsupervised Learning for Graph Matching. Int. J. Comput. Vis. Marius Leordeanu, Rahul Sukthankar, Martial Hebert
2011	A*	`conf`	Semi-supervised learning and optimization for hypergraph matching. ICCV Marius Leordeanu, Andrei Zanfir, Cristian Sminchisescu
2009	—	`conf`	An Integer Projected Fixed Point Method for Graph Matching and MAP Inference. NIPS Marius Leordeanu, Martial Hebert, Rahul Sukthankar
2009	A*	`conf`	Unsupervised learning for graph matching. CVPR Marius Leordeanu, Martial Hebert
2008	—	`conf`	Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation. ECCV (3) Julien Mairal, Marius Leordeanu, Francis R. Bach, Martial Hebert, Jean Ponce
2008	A*	`conf`	Smoothing-based Optimization. CVPR Marius Leordeanu, Martial Hebert
2007	A*	`conf`	Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features. CVPR Marius Leordeanu, Martial Hebert, Rahul Sukthankar
2006	—	`conf`	Discovering Texture Regularity as a Higher-Order Correspondence Problem. ECCV (2) James Hays, Marius Leordeanu, Alexei A. Efros, Yanxi Liu
2006	A*	`conf`	Efficient MAP approximation for dense energy functions. ICML Marius Leordeanu, Martial Hebert
2005	A*	`conf`	A Spectral Technique for Correspondence Problems Using Pairwise Constraints. ICCV Marius Leordeanu, Martial Hebert
2005	J	`jnl`	Online Selection of Discriminative Tracking Features. IEEE Trans. Pattern Anal. Mach. Intell. Robert T. Collins, Yanxi Liu, Marius Leordeanu
2005	—	`conf`	Unsupervised Learning of Object Features from Video Sequences. CVPR (1) Marius Leordeanu, Robert T. Collins
2004	—	`conf`	Efficient Model Creation of Large Structures based on Range Segmentation. 3DPVT Ioannis Stamos, Marius Leordeanu
2003	A*	`conf`	3D Modeling of Historic Sites Using Range and Image Data. ICRA Peter K. Allen, Ioannis Stamos, Alejandro J. Troccoli, Benjamin Smith, Marius Leordeanu, Y. C. Hsu
2003	—	`conf`	Automated Feature-Based Range Registration of Urban Scenes of Large Scale. CVPR (2) Ioannis Stamos, Marius Leordeanu
2003	J	`jnl`	New Methods for Digital Modeling of Historic Sites. IEEE Computer Graphics and Applications Peter K. Allen, Alejandro J. Troccoli, Benjamin Smith, Stephen Murray, Ioannis Stamos, Marius Leordeanu