Leordeanu, M.
* 2003: Automated feature-based range registration of urban scenes of large scale
* 2003: New Methods for Digital Modeling of Historic Sites
* 2003: Online Selection of Discriminative Tracking Features
* 2003: Online Selection of Discriminative Tracking Features
* 2004: Efficient model creation of large structures based on range segmentation
* 2005: Online Selection of Discriminative Tracking Features
* 2005: Spectral Technique for Correspondence Problems Using Pairwise Constraints, A
* 2005: Unsupervised Learning of Object Features from Video Sequences
* 2006: Discovering Texture Regularity as a Higher-Order Correspondence Problem
* 2007: Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features
* 2008: Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation
* 2008: Pairwise Grouping Using Color
* 2008: Smoothing-based Optimization
* 2009: Spectral Graph Matching, Learning, and Inference for Computer Vision
* 2009: Unsupervised learning for graph matching
* 2011: Semi-supervised learning and optimization for hypergraph matching
* 2012: Efficient Closed-Form Solution to Generalized Boundary Detection
* 2012: Unsupervised Learning for Graph Matching
* 2013: Locally Affine Sparse-to-Dense Matching for Motion and Occlusion Estimation
* 2013: Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection, The
* 2014: Generalized Boundaries from Multiple Image Interpretations
* 2015: Multiple Frames Matching for Object Discovery in Video
* 2016: Aerial image geolocalization from recognition and matching of roads and intersections
* 2016: How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image
* 2017: Creating Roadmaps in Aerial Images with Generative Adversarial Networks and Smoothing-Based Optimization
* 2017: Unsupervised Learning from Video to Detect Foreground Objects in Single Images
* 2017: Unsupervised Object Segmentation in Video by Efficient Selection of Highly Probable Positive Features
* 2018: Learning a Robust Society of Tracking Parts Using Co-occurrence Constraints
* 2018: Roadmap Generation using a Multi-stage Ensemble of Deep Neural Networks with Smoothing-Based Optimization
* 2018: SafeUAV: Learning to Estimate Depth and Safe Landing Areas for UAVs from Synthetic Data
* 2019: Shift R-CNN: Deep Monocular 3D Object Detection With Closed-Form Geometric Constraints
* 2019: Unsupervised Learning of Foreground Object Segmentation
* 2020: Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN)
* 2020: In Search of Life: Learning from Synthetic Data to Detect Vital Signs in Videos
* 2020: Semantics Through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation
* 2021: Depth distillation: unsupervised metric depth estimation for UAVs by finding consensus between kinematics, optical flow and deep learning
* 2021: TeachText: CrossModal Generalized Distillation for Text-Video Retrieval
* 2022: Iterative Knowledge Exchange Between Deep Learning and Space-Time Spectral Clustering for Unsupervised Segmentation in Videos
* 2023: Explaining Vision and Language through Graphs of Events in Space and Time
* 2023: JEDI: Joint Expert Distillation in a Semi-Supervised Multi-Dataset Student-Teacher Scenario for Video Action Recognition
* 2023: Multi-Task Hypergraphs for Semi-supervised Learning using Earth Observations
* 2023: Self-supervised Hypergraphs for Learning Multiple World Interpretations
Includes: Leordeanu, M. Leordeanu, M.[Marius]
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Leorin, S.
* 2006: Estimation of Two-Dimensional Affine Transformations Through Polar Curve Matching and Its Application to Image Mosaicking and Remote-Sensing Data Registration