Kendall, A.[Alex]
* 2015: PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization
* 2017: End-to-End Learning of Geometry and Context for Deep Stereo Regression
* 2017: Geometric Loss Functions for Camera Pose Regression with Deep Learning
* 2017: SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
* 2018: Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
* 2020: Probabilistic Future Prediction for Video Scene Understanding
* 2021: FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras
* 2021: Video Class Agnostic Segmentation Benchmark for Autonomous Driving
8 for Kendall, A.
Kendall, A.D.[Anthony D.]
* 2019: Addressing Challenges for Mapping Irrigated Fields in Subhumid Temperate Regions by Integrating Remote Sensing and Hydroclimatic Data
Kendall, C.B.
* 2016: Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks
* 2016: Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Kendall, D.G.
* 1977: Diffusion of Shape, The
* 1984: Shape Manifolds, Procrustean Metrics, and Complex Projective Spaces
* 1989: Survey of the Statistical Theory of Shape, A
Kendall, M.J.[Murray J.]
* 2018: Automated Sensing of Wave Inundation across a Rocky Shore Platform Using a Low-Cost Camera System
Kendall, W.
* 2002: bayesian approach to inferring vascular tree structure from 2d imagery, A
Kendall, W.B.
* 1974: New Algorithm for Computing Correlations, A
Kendall, W.S.[Wilfrid S.]
* 1999: Perfect simulation in stochastic geometry
Kender, J.
* 2018: HP-GAN: Probabilistic 3D Human Motion Prediction via GAN
Kender, J.R.
* 1976: Saturation, Hue, and Normalized Color: Calculation, Digitization Effects, and Use
* 1978: Shape from Texture: A Brief Overview and a New Aggregation Transform
* 1979: Shape from Texture: A Computational Paradigm
* 1979: Shape from Texture: An Aggregation Transform That Maps a Class of Textures into Surface Orientation
* 1980: Gaussian Sphere: A Unifying Representation of Surface Orientation, The
* 1980: Mapping Image Properties into Shape Constraints: Skewed Symmetry, Affine-Transformable Patterns, and the Shape-from-Texture Paradigm
* 1980: Shape from Texture
* 1980: Shape from Texture
* 1982: Computational Paradigm for Deriving Local Surface Orientation from Local Textural Properties, A
* 1982: Gradient Space under Orthography and Perspective
* 1982: Gradient Space under Orthography and Perspective
* 1982: Why Perspective Is Difficult: How Two Algorithms Fail
* 1983: Environmental Labelings in Low Level Image Understanding
* 1983: Environmental Relations in Image Understanding: The Force of Gravity
* 1983: Gradient Space under Orthography and Perspective
* 1983: Surface Constraints from Linear Extents
* 1983: Surface Constraints from Linear Extents
* 1984: Information-Centered Approach to Optimal Algorithms Applied to the 2-1/2D Sketch, The
* 1985: Analysis and Performance of Two Middle-Level Vision Tasks on a Fine-Grained SIMD Tree Machine, The
* 1985: Information Based Complexity Applied to Optimal Recovery of the 2 1/2-D Sketch
* 1985: On Surface Reconstruction Using Sparse Depth Data
* 1986: On the Application of Massively Parallel SIMD Tree Machines to Certain Intermediate-Level Vision Tasks
* 1986: Shape from Darkness: Deriving Surface Information from Dynamic Shadows
* 1986: Vision Expert Systems Demand Challenging Expert Interactions
* 1986: Visual Surface Reconstruction Using Sparse Depth Data
* 1987: Approach To The Fusion Of Multiple Shape From Texture Algorithms, An
* 1987: Integrated System That Unifies Multiple Shape from Texture Algorithms, An
* 1987: Integrated System That Unifies Multiple Shape from Texture Algorithms, An
* 1987: Mapping Image Properties into Shape Constraints: Skewed Symmetry, Affine-Transformable Patterns, and the Shape-from-Texture Paradigm
* 1987: Shape from Darkness
* 1987: Shape from Darkness
* 1987: What Is a Degenerate View?
* 1987: What Is a Degenerate View?
* 1988: Optimal Algorithm for the Derivation of Shape from Shadows, An
* 1988: Optimal Algorithm for the Derivation of Shape from Shadows, An
* 1988: Solving the Depth Interpolation Problem on a Parallel Architecture with a Multigrid Approach
* 1989: Image Understanding and Robotics Research at Columbia University
* 1990: Formalization and Implementation of Topological Visual Navigation in two Dimensions, A
* 1991: On Seeing Spaghetti: A Novel Self-Adjusting Seven Parameter Hough Space for Analyzing Flexible Extruded Objects
* 1991: On Seeing Spaghetti: A Novel Self-Adjusting Seven Parameter Hough Space for Analyzing Flexible Extruded Objects
* 1992: On Seeing Spaghetti: A Novel Self-Adjusting Seven Parameter Hough Space for Analyzing Flexible Extruded Objects
* 1993: Image Understanding Research at Columbia University
* 1993: Qualitative Environmental Navigation
* 1993: Qualitatively Describing Objects Using Spatial Prepositions
* 1993: Shape from Shadows under Error
* 1993: Using Isolated Landmarks and Trajectories in Robot Navigation
* 1994: Error Detection and Error Recovery in Two Dimensional Topological Navigation
* 1994: Image Understanding Research at Columbia University
* 1995: On Seeing Spaghetti: Self-Adjusting Piecewise Toroidal Recognition Of Flexible Extruded Objects
* 1995: Topological Direction-Giving and Visual Navigation in Large Environments
* 1995: Visual Hand Gesture Recognition For Window System Control
* 1996: Context-Based Visual Hand Gesture Recognition
* 1996: Finding Skin in Color Images
* 1996: Shape From Darkness Under Error
* 1996: Toward the use of gesture in traditional user interfaces
* 1996: Visual Sensor Systems: Making Them Smaller, Faster, Smarter
* 1997: Advanced Visual Sensor Systems
* 1997: Interaction with On-Screen Objects Using Visual Gesture Recognition
* 1997: Performance and Human Interface Issues of a System for Visual Interpretation of Hand Gestures
* 1998: Advanced Visual Sensor Systems (1998)
* 1998: Sectored Snakes: Evaluating Learned-Energy Segmentations
* 1998: Sectored Snakes: Evaluating Learned-Energy Segmentations
* 1998: Video Scene Segmentation Via Continuous Video Coherence
* 2000: Comparative Technique and Performance Results on Novel Learned Snakes in Two Dissimilar Medical Domains, A
* 2001: Fast Image Segmentation Algorithm for Interactive Video Hotspot Retrieval, A
* 2001: Mosaic-Based Clustering of Scene Locations in Videos
* 2001: Nonparametric Training of Snakes to Find Indistinct Boundaries
* 2001: Sectored Snakes: Evaluating Learned-Energy Segmentations
* 2001: Time-constrained Dynamic Semantic Compression for Video Indexing and Interactive Searching
* 2001: Unified Memory-based Approach to Cut, Dissolve, Key Frame and Scene Analysis, A
* 2002: Coupled markov chains for video contents characterization
* 2002: Optimization Algorithms for the Selection of Key Frame Sequences of Variable Length
* 2002: Rule-based semantic summarization of instructional videos
* 2002: Video frame categorization using sort-merge feature selection
* 2002: Video Summaries through Mosaic-Based Shot and Scene Clustering
* 2003: Beyond Key-Frames: The Physical Setting as a Video Mining Primitive
* 2003: Fast video segment retrieval by Sort-Merge feature selection, boundary refinement, and lazy evaluation
* 2003: Semantic mosaic for indexing and compressing instructional videos
* 2004: Video summaries and cross-referencing through mosaic-based representation
* 2005: Educational video understanding: Mapping handwritten text to textbook chapters
* 2005: Robust Methods and Representations for Soccer Player Tracking and Collision Resolution
* 2005: Unified Text Extraction Method for Instructional Videos, A
* 2005: Visual Concepts for News Story Tracking: Analyzing and Exploiting the NIST TRECVID Video Annotation Experiment
* 2007: VAST MM: Multimedia Browser for Presentation Video
* 2008: Robust Dominant Motion Estimation Using MPEG Information in Sport Sequences
* 2009: Semantic keyword extraction via adaptive text binarization of unstructured unsourced video
* 2010: Annotation and taxonomy of gestures in lecture videos
* 2011: Identifying salient poses in lecture videos
* 2013: Recognizing and tracking clasping and occluded hands
* 2013: Tracking Large-Scale Video Remix in Real-World Events
* 2023: G2L: A High-Dimensional Geometric Approach for Automatic Generation of Highly Accurate Pseudo-Labels
Includes: Kender, J.R. Kender, J.R.[John R.]
91 for Kender, J.R.
Kendoul, F.[Farid]
* 2019: Modelling the effects of fundamental UAV flight parameters on LiDAR point clouds to facilitate objectives-based planning
Kendra, J.R.
* 2017: Motion-Extended Array Synthesis: Part I: Theory and Method
* 2017: Motion-Extended Array Synthesis: Part II: Experimental Validation
* 2017: Motion-Extended Array Synthesis: Part III: An Offset Imaging System Perspective
Kendrick, C.[Connah]
* 2017: Online Tool for the Annotation of 3D Models, An
* 2020: SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions Dataset
* 2021: comprehensive review of past and present image inpainting methods, A
* 2021: Foreground-Guided Facial Inpainting with Fidelity Preservation
* 2021: R-MNet: A Perceptual Adversarial Network for Image Inpainting
* 2022: Skin_hair Dataset: Setting the Benchmark for Effective Hair Inpainting Methods for Improving the Image Quality of Dermoscopic Images
Includes: Kendrick, C.[Connah] Kendrick, C.
Kendrick, G.
* 2016: Coral classification with hybrid feature representations
Kendrick, R.
* 2004: Multiple-aperture imaging spectrometer: Computer simulation and experimental validation
* 2005: Hyperspectral aural cueing
Kendrick, R.L.
* 1996: Reconstruction and Super-Resolution of Dilute Aperture Imagery
Kendrick, V.L.
* 2016: Probing deeper into the risks of slips, trips and falls for an ageing rail passenger population: applying a systems approach
Kendricks, K.D.[Kimberly D.]
* 2014: Body Joint Tracking in Low Resolution Video Using Region-Based Filtering
Kenduiywo, B.K.
* 2016: 4D change detection based on persistent scatterer interferometry
* 2017: Higher Order Dynamic Conditional Random Fields Ensemble for Crop Type Classification in Radar Images
* 2020: Burnt Area Detection Using Medium Resolution Sentinel 2 and Landsat 8 Satellites