Index for prob

Probeck, M.[Markus] * 2016: Europe's Green Arteries: A Continental Dataset of Riparian Zones
* 2017: Enhanced Algorithm for Automatic Radiometric Harmonization Of High-resolution Optical Satellite Imagery Using Pseudoinvariant Features And Linear Regression, An
* 2019: Improvement of Existing and Development of Future Copernicus Land Monitoring Products - The Ecolass Project
Includes: Probeck, M.[Markus] Probeck, M.

Prober, S.M.[Suzanne M.] * 2022: Land surface phenology retrievals for arid and semi-arid ecosystems

Probert, G. * 1990: Interpreting trihedral vertices by using assumptions about the angles between the edges

Probert, P.[Penelope] * 1994: Advanced Guided Vehicles: Aspects of the Oxford AGV Project
* 1998: Low-Cost System Using Sparse Vision for Navigation In the Urban-Environment, A
* 1998: Stereo Vision-Based Aid for the Visually-Impaired, A
* 1999: Robotic Sensing for the Partially Sighted
Includes: Probert, P.[Penelope] Probert, P.[Penny] Probert, P.

Probert, P.J. * 1998: Navigation of Autonomous Vehicles Using Linear-Array Cameras

Probst, A.[Anne] * 2016: Extracting Soil Water Holding Capacity Parameters of a Distributed Agro-Hydrological Model from High Resolution Optical Satellite Observations Series
* 2019: Barrett's esophagus analysis using infinity Restricted Boltzmann Machines
Includes: Probst, A.[Anne] Probst, A.[Andreas]

Probst, J.L.[Jean Luc] * 2016: Extracting Soil Water Holding Capacity Parameters of a Distributed Agro-Hydrological Model from High Resolution Optical Satellite Observations Series
Includes: Probst, J.L.[Jean Luc] Probst, J.L.[Jean-Luc]

Probst, M.[Monika] * 2023: skeletonization algorithm for gradient-based optimization, A

Probst, T.[Thomas] * 2016: Combining Human Body Shape and Pose Estimation for Robust Upper Body Tracking Using a Depth Sensor
* 2016: Hand Pose Estimation from Local Surface Normals
* 2017: Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation
* 2017: Deep Learning on Lie Groups for Skeleton-Based Action Recognition
* 2018: Dense 3D Regression for Hand Pose Estimation
* 2018: Incremental Non-Rigid Structure-from-Motion with Unknown Focal Length
* 2018: Model-free Consensus Maximization for Non-Rigid Shapes
* 2019: Convex Relaxations for Consensus and Non-Minimal Problems in 3D Vision
* 2019: Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map
* 2019: Self-Supervised 3D Hand Pose Estimation Through Training by Fitting
* 2019: Unsupervised Learning of Consensus Maximization for 3D Vision Problems
* 2019: What Correspondences Reveal About Unknown Camera and Motion Models?
* 2020: Dual Grid Net: Hand Mesh Vertex Regression from Single Depth Maps
* 2021: CompositeTasking: Understanding Images by Spatial Composition of Tasks
* 2021: Task Switching Network for Multi-task Learning
* 2021: Unsupervised Monocular Depth Reconstruction of Non-Rigid Scenes
* 2022: Coarse-to-Fine Feature Mining for Video Semantic Segmentation
* 2022: Training Dynamics Aware Neural Network Optimization with Stabilization
* 2023: Spatially Multi-Conditional Image Generation
* 2023: Token-Consistent Dropout For Calibrated Vision Transformers
Includes: Probst, T.[Thomas] Probst, T.
20 for Probst, T.

Index for "p"


Last update:26-Feb-26 11:55:09
Use price@usc.edu for comments.