Ladi, A.[Anna]
* 2021: Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks
Ladic, L.[Lance]
* 2010: Imaging as a Surrogate for the Early Prediction and Assessment of Treatment Response through the Analysis of 4-D Texture Ensembles (ISEPARATE)
Ladicky, L.[Lubor]
* 2008: Robust Higher Order Potentials for Enforcing Label Consistency
* 2009: Associative hierarchical CRFs for object class image segmentation
* 2009: Combining Appearance and Structure from Motion Features for Road Scene Understanding
* 2009: Robust Higher Order Potentials for Enforcing Label Consistency
* 2010: Graph Cut Based Inference with Co-occurrence Statistics
* 2010: Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction
* 2010: What, Where and How Many? Combining Object Detectors and CRFs
* 2011: Human Instance Segmentation from Video using Detector-based Conditional Random Fields
* 2012: Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction
* 2012: Large Scale Visual Geo-Localization of Images in Mountainous Terrain
* 2012: Latent SVMs for Human Detection with a Locally Affine Deformation Field
* 2012: Leveraging Topographic Maps for Image to Terrain Alignment
* 2012: Scalable Cascade Inference for Semantic Image Segmentation
* 2013: Depth Map Inpainting under a Second-Order Smoothness Prior
* 2013: Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation
* 2013: Inference Methods for CRFs with Co-occurrence Statistics
* 2014: Action Recognition From Weak Alignment of Body Parts
* 2014: Associative Hierarchical Random Fields
* 2014: Discriminatively Trained Dense Surface Normal Estimation
* 2014: Mind the Gap: Modeling Local and Global Context in (Road) Networks
* 2014: Pulling Things out of Perspective
* 2015: Direction matters: Depth estimation with a surface normal classifier
* 2015: Discrete optimization of ray potentials for semantic 3D reconstruction
* 2016: Image Based Geo-localization in the Alps
* 2016: Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint
* 2017: From Point Clouds to Mesh Using Regression
* 2017: Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection
* 2020: Compression and Completion of Animated Point Clouds using Topological Properties of the Manifold
* 2020: Precomputed Radiance Transfer for Reflectance and Lighting Estimation
Includes: Ladicky, L.[Lubor] Ladický, L.[Lubor] Ladický, L.[L'ubor] Ladický, L.
29 for Ladicky, L.
Ladig, R.[Robert]
* 2014: FPGA-Based Fast Response Image Analysis for Autonomous or Semi-autonomous Indoor Flight
* 2016: Vision Based Autonomous Orientational Control for Aerial Manipulation via On-board FPGA
Ladiges, R.
* 2013: Unmanned Aerial Systems in the Process of Juridical Verification of Cadastral Border
Ladikos, A.[Alexander]
* 2006: Efficient and Robust Real-Time Contour Tracking System, An
* 2007: Linear and Quadratic Subsets for Template-Based Tracking
* 2008: Efficient visual hull computation for real-time 3D reconstruction using CUDA
* 2008: Multi-View Reconstruction using Narrow-Band Graph-Cuts and Surface Normal Optimization
* 2009: Incremental Visual Hull Reconstruction
* 2009: Real-Time 3D Reconstruction for Occlusion-Aware Interactions in Mixed Reality
* 2009: Spectral camera clustering
Includes: Ladikos, A.[Alexander] Ladikos, A.
7 for Ladikos, A.
Lading, B.[Brian]
* 2003: Some Issues of Biological Shape Modelling with Applications
Ladis, E.
* 2009: Empirical Study of Clustering Algorithms for Wireless Ad Hoc Networks