Shave, M.J.R.
* 1998: Spatial Reasoning Using the Quad Tesseral Representation
Shaver, D.[Donna]
* 2019: Exposure of Marine Turtle Nesting Grounds to Named Storms Along the Continental USA
Shaverdikondori, M.[Mohammad]
* 2022: Vehicle trajectory prediction works, but not everywhere
Shavers, E.[Ethan]
* 2017: Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine
Shavers, E.J.[Ethan J.]
* 2021: Extensibility of U-Net Neural Network Model for Hydrographic Feature Extraction and Implications for Hydrologic Modeling
Shavit, A.[Adi]
* 2009: Single image face orientation and gaze detection
Shavit, E.
* 1993: Motion Understanding from Qualitative Visual Dynamics
Shavit, G.
* 2007: MultiStage: A MINMAX Bit Allocation Algorithm for Video Coders
Shavit, N.[Nir]
* 2019: Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics
* 2021: HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps
* 2023: Learning to Correct Sloppy Annotations in Electron Microscopy Volumes
Shavit, R.
* 2004: Efficient Vector Sensor Configuration for Source Localization, An
* 2017: Back-Projection Cortical Potential Imaging: Theory and Results
Shavit, Y.[Yoli]
* 2021: Do We Really Need Scene-specific Pose Encoders?
* 2021: Learning Multi-Scene Absolute Pose Regression with Transformers
* 2022: Camera Pose Auto-encoders for Improving Pose Regression
* 2022: ClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for Efficient Feature Matching
* 2023: Coarse-to-Fine Multi-Scene Pose Regression With Transformers
* 2024: Learning single and multi-scene camera pose regression with transformer encoders