Lazear, M.B.[Manette B.]
* 1996: Tailoring a Retrieval System for Naive Users
Lazebnik, R.S.
* 2002: X-ray computed tomography methods for in vivo evaluation of local drug release systems
* 2003: Volume registration using needle paths and point landmarks for evaluation of interventional MRI treatments
Lazebnik, S.[Svetlana]
* 2001: On Computing Exact Visual Hulls of Solids Bounded by Smooth Surfaces
* 2002: On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes
* 2003: 3D object modeling and recognition using affine-invariant patches and multi-view spatial constraints
* 2003: 3D Photography from Photographs and Video Clips
* 2003: Affine-invariant local descriptors and neighborhood statistics for texture recognition
* 2003: Local Projective Shape of Smooth Surfaces and Their Outlines, The
* 2003: sparse texture representation using affine-invariant regions, A
* 2004: Segmenting, Modeling, and Matching Video Clips Containing Multiple Moving Objects
* 2004: Semi-Local Affine Parts for Object Recognition
* 2005: Local Features and Kernels for Classification of Texture and Object Categories: An In-Depth Study
* 2005: Local Projective Shape of Smooth Surfaces and Their Outlines, The
* 2005: Maximum Entropy Framework for Part-Based Texture and Object Recognition, A
* 2005: Sparse Texture Representation Using Local Affine Regions, A
* 2006: 3D Object Modeling and Recognition from Photographs and Image Sequences
* 2006: 3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints
* 2006: Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
* 2006: Dataset Issues in Object Recognition
* 2006: Discriminative Framework for Texture and Object Recognition Using Local Image Features, A
* 2006: Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study
* 2007: Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study
* 2007: Projective Visual Hulls
* 2007: Segmenting, Modeling, and Matching Video Clips Containing Multiple Moving Objects
* 2008: Analysis of human attractiveness using manifold kernel regression
* 2008: Computing iconic summaries of general visual concepts
* 2008: Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs .
* 2009: empirical Bayes approach to contextual region classification, An
* 2009: Supervised Learning of Quantizer Codebooks by Information Loss Minimization
* 2010: Building Rome on a Cloudless Day
* 2010: Fast robust large-scale mapping from video and internet photo collections
* 2010: SuperParsing: Scalable Nonparametric Image Parsing with Superpixels
* 2011: Comparing data-dependent and data-independent embeddings for classification and ranking of Internet images
* 2011: Iterative quantization: A procrustean approach to learning binary codes
* 2011: Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs
* 2011: Scene recognition and weakly supervised object localization with deformable part-based models
* 2011: Understanding scenes on many levels
* 2011: Unsupervised Patch-based Context from Millions of Images
* 2013: Finding Things: Image Parsing with Regions and Per-Exemplar Detectors
* 2013: Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval
* 2013: Superparsing
* 2014: Asymmetric Distances for Binary Embeddings
* 2014: Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections
* 2014: Multi-scale Orderless Pooling of Deep Convolutional Activation Features
* 2014: Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics, A
* 2014: Scene Parsing with Object Instances and Occlusion Ordering
* 2015: Active Object Localization with Deep Reinforcement Learning
* 2015: Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
* 2015: Learning Informative Edge Maps for Indoor Scene Layout Prediction
* 2015: Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors
* 2015: Where to Buy It: Matching Street Clothing Photos in Online Shops
* 2016: Adaptive Object Detection Using Adjacency and Zoom Prediction
* 2016: Learning Deep Structure-Preserving Image-Text Embeddings
* 2016: Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering
* 2016: Solving Visual Madlibs with Multiple Cues
* 2017: Enhancing Video Summarization via Vision-Language Embedding
* 2017: Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
* 2017: Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues
* 2017: Recurrent Models for Situation Recognition
* 2018: Conditional Image-Text Embedding Networks
* 2018: PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
* 2018: Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
* 2018: Two Can Play This Game: Visual Dialog with Discriminative Question Generation and Answering
* 2019: Combining Multiple Cues for Visual Madlibs Question Answering
* 2019: Learning Two-Branch Neural Networks for Image-Text Matching Tasks
* 2019: Two Body Problem: Collaborative Visual Task Completion
* 2020: Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks, A
* 2020: Memory-efficient Incremental Learning Through Feature Adaptation
* 2021: Contextual Translation Embedding for Visual Relationship Detection and Scene Graph Generation
* 2021: Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing
* 2021: Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing
* 2021: GridToPix: Training Embodied Agents with Minimal Supervision
* 2021: Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents
* 2022: Revisiting Image-Language Networks for Open-Ended Phrase Detection
Includes: Lazebnik, S.[Svetlana] Lazebnik, S.
72 for Lazebnik, S.
Lazecky, M.
* 2016: Potential Of Sentinel-1a For Nation-wide Routine Updates Of Active Landslide Maps
* 2020: Displacements Monitoring over Czechia by IT4S1 System for Automatised Interferometric Measurements Using Sentinel-1 Data
* 2020: LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and Volcanic Activity
* 2020: LiCSBAS: An Open-Source InSAR Time Series Analysis Package Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor
* 2020: Radar Interferometry as a Comprehensive Tool for Monitoring the Fault Activity in the Vicinity of Underground Gas Storage Facilities
* 2021: Neural Network-Based Urban Change Monitoring with Deep-Temporal Multispectral and SAR Remote Sensing Data
* 2022: Monitoring Non-Linear Ground Motion above Underground Gas Storage Using GNSS and PSInSAR Based on Sentinel-1 Data
* 2022: Routine Processing and Automatic Detection of Volcanic Ground Deformation Using Sentinel-1 InSAR Data: Insights from African Volcanoes
* 2023: MT-InSAR and Dam Modeling for the Comprehensive Monitoring of an Earth-Fill Dam: The Case of the Beninar Dam (Almeria, Spain)
Includes: Lazecky, M. Lazecký, M.[Milan] Lazecky, M.[Milan]
9 for Lazecky, M.
Lazendic, S.[Srdan]
* 2021: Acoustic Seafloor Classification Using the Weyl Transform of Multibeam Echosounder Backscatter Mosaic
Lazennec, J.Y.[Jean Yves]
* 2011: 3D Model-based Reconstruction of the Proximal Femur from Low-dose Biplanar X-Ray Images
Includes: Lazennec, J.Y.[Jean Yves] Lazennec, J.Y.[Jean-Yves]
Lazera, P.[Pedro]
* 2023: Time-constrained learning
Lazeyras, F.
* 2007: BSLIM: Spectral Localization by Imaging With Explicit B{0} Field Inhomogeneity Compensation
* 2008: Surface-Based Approach to Quantify Local Cortical Gyrification, A
* 2013: 3-D Residual Eddy Current Field Characterisation: Applied to Diffusion Weighted Magnetic Resonance Imaging
* 2013: Data-Driven MRSI Spectral Localization Via Low-Rank Component Analysis