Laidlaw, C.[Cassidy]
* 2019: Capture, Learning, and Synthesis of 3D Speaking Styles
Laidlaw, D.H.
* 1998: Partial Volume Bayesian Classification of Material Mixtures in MR Volume Data Using Voxel Histograms
* 2002: Bayesian pot-assembly from fragments as problems in perceptual-grouping and geometric-learning
* 2006: Super-Resolution Registration Using Tissue-Classified Distance Fields
* 2010: Fiducial-Based Tangible User Interface for White Matter Tractography, A
* 2010: Visualizing Gene Co-expression as Google Maps
* 2012: Inshape: In-situ Shape-based Interactive Multiple-view Exploration of Diffusion MRI Visualizations
* 2013: White Matter Supervoxel Segmentation by Axial DP-Means Clustering
Includes: Laidlaw, D.H. Laidlaw, D.H.[David H.]
7 for Laidlaw, D.H.
Laidlaw, E.[Eliot]
* 2023: Semantic Attention Flow Fields for Monocular Dynamic Scene Decomposition
Laidlow, T.
* 2019: Learning Meshes for Dense Visual SLAM
* 2021: In-Place Scene Labelling and Understanding with Implicit Scene Representation
* 2021: SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks
* 2022: BodySLAM: Joint Camera Localisation, Mapping, and Human Motion Tracking
* 2022: Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation
Includes: Laidlow, T. Laidlow, T.[Tristan]