Jepsen, M.
* 2005: Smoke, Mirrors, and Manufacturable Displays
Jepsen, M.R.[Martin Rudbeck]
* 2016: Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring, A
Jepsen, P.U.
* 2007: Chemical Recognition With Broadband THz Spectroscopy
Jepsen, S.M.[Steven M.]
* 2021: Analyzing the Suitability of Remotely Sensed ET for Calibrating a Watershed Model of a Mediterranean Montane Forest
Jepsen, T.S.[Tobias Skovgaard]
* 2022: Relational Fusion Networks: Graph Convolutional Networks for Road Networks
Jepson, A.[Allan]
* 1994: Detecting Floor Anomalies
* 2019: Scene Categorization From Contours: Medial Axis Based Salience Measures
* 2022: GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks
* 2023: Efficient Flow-Guided Multi-frame De-fencing
Jepson, A.D.
* 1984: Cascaded Filter Approach to the Construction of Velocity Selective Mechanisms, A
* 1984: Motion Understanding Meets Early Vision: An Introduction
* 1984: Spatio-Temporal Model for Early Visual Processing, A
* 1985: Hierarchial Construction of Orientation and Velocity Selective Filters
* 1985: Spatiotemporal Inseparability in Early Visual Processing
* 1985: Velocity Extraction without Form Interpretation
* 1986: Ambient Illumination and the Determination of Material Changes
* 1986: Effects of Ambient Illumination on the Structure of Shadows in Chromatic Images, The
* 1987: Determination of Egomotion and Environmental Layout from Noisy Time-Varying Velocity in Binocular Image Sequences
* 1987: Determination of Egomotion and Environmental Layout from Noisy Time-Varying Velocity in Monocular Image Sequences
* 1987: From (R, G, B) to Surface Reflectance: Computing Color Constant Descriptors in Images
* 1987: Highlight Identification Using Chromatic Information
* 1987: Sensitivity of Motion and Structure Computations, The
* 1987: Techniques for Disparity Measurement
* 1987: Use of Color in Highlight Identification, The
* 1988: Feasibility Of Motion And Structure Computations, The
* 1988: Towards a Theory of Motion Understanding in Man and Machine
* 1989: Computation of Normal Velocity from Local Phase Information
* 1989: Computation of Normal Velocity from Local Phase Information
* 1989: Fast Computation of Disparity from Phase Differences, The
* 1989: Hierarchial Construction of Orientation and Velocity Selective Filters
* 1989: Measuring Trajectory
* 1989: Phase-Based Disparity Measurement
* 1989: Response Profiles of Trajectory Detectors
* 1990: Computation of Component Image Velocity from Local Phase Information
* 1990: Feasibility of Motion and Structure from Noisy Time-Varying Image Velocity Information, The
* 1990: Method and apparatus for image processing to obtain three dimensional motion and depth
* 1990: Scale-Space Singularities
* 1990: Simple Method for Computing 3D Motion and Depth
* 1990: Subspace Methods for Recovering Rigid Motion I: Algorithms and Implementation
* 1990: Subspace Methods for Recovering Rigid Motion, Part II: Theory
* 1990: Visual Perception of Three-Dimensional Motion
* 1991: Fast Subspace Methods for Recovering Rigid Motion, A
* 1991: Phase Singularities in Scale-Space
* 1991: Phase-Based Disparity Measurement
* 1991: Stability of Phase Information
* 1991: Techniques for Disparity Measurement
* 1992: From Features to Perceptual Categories
* 1992: Lattice Framework for Integrating Vision Modules, A
* 1992: Linear Subspace Methods for Recovering Translation Direction
* 1992: Subspace Methods for Recovering Rigid Motion I: Algorithms and Implementation
* 1992: What Makes a Good Feature?
* 1993: Mixture Models for Optical Flow Computation
* 1993: Mixture Models for Optical Flow Computation
* 1993: Motion Understanding from Qualitative Visual Dynamics
* 1993: Non-accidental Features in Learning
* 1993: Stability of Phase Information
* 1994: New Closed-Form Solution for Absolute Orientation, A
* 1994: Recovering Local Surface-Structure Through Local Phase Difference Measurements
* 1994: Recovery of Ego-Motion and Segmentation of Independent Object Motion Using the EM Algorithm
* 1996: Computational Perception of Scene Dynamics, The
* 1996: EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation
* 1996: Estimating Optical-Flow in Segmented Images Using Variable-Order Parametric Models with Local Deformations
* 1996: Skin and Bones: Multi-layer, Locally Affine, Optical Flow and Regularization with Transparency
* 1997: Computational Perception of Scene Dynamics, The
* 1997: Learning Parameterized Models of Image Motion
* 1998: EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation
* 1998: Image segmentation using robust mixture models
* 1998: Motion Feature Detection Using Steerable Flow Fields
* 1998: PLAYBOT: A Visually-Guided Robot for Physically Disabled Children
* 1998: Probabilistic Framework for Matching Temporal Trajectories: CONDENSATION-Based Recognition of Gestures and Expressions, A
* 1998: Recognizing Temporal Trajectories Using the CONDENSATION Algorithm
* 1998: Towards the Computational Perception of Action
* 1999: Active Stereo Vision System for Recognition of Faces and Related Hand Gestures, An
* 1999: Detection and Tracking of Faces in Real Environments
* 1999: Qualitative Probabilities for Image Interpretation
* 2000: Design and Use of Linear Models for Image Motion Analysis
* 2001: Robust Online Appearance Models for Visual Tracking
* 2001: SAVI: an actively controlled teleconferencing system
* 2001: Sparse Coding in Practice
* 2001: Sparse PCA: Extracting Multi-scale Structure from Data
* 2002: Layered Motion Representation with Occlusion and Compact Spatial Support, A
* 2002: Phase-Based Local Features
* 2002: Robust contrast-invariant eigendetection
* 2002: Saturated independent color coordinates for image alignment
* 2002: Trajectory segmentation using dynamic programming
* 2003: Apparatus and method for identifying and tracking objects with view-based representations
* 2003: Multi-scale phase-based local features
* 2003: Robust Online Appearance Models for Visual Tracking
* 2003: Video input driven animation (VIDA)
* 2004: Flexible spatial models for grouping local image features
* 2004: Perceptual distance normalization for appearance detection
* 2004: Perceptual grouping for contour extraction
* 2004: Pruning local feature correspondences using shape context
* 2004: Spectral Embedding and Min Cut for Image Segmentation
* 2004: Variational mixture smoothing for non-linear dynamical systems
* 2005: Distinctiveness, Detectability, and Robustness of Local Image Features, The
* 2005: Quantitative Evaluation of a Novel Image Segmentation Algorithm
* 2006: Robust Boundary Detection With Adaptive Grouping
* 2007: Flexible Spatial Configuration of Local Image Features
* 2007: Higher-order Autoregressive Models for Dynamic Textures
* 2007: Shape from Planar Curves: A Linear Escape from Flatland
* 2008: Semidefinite Programming Heuristics for Surface Reconstruction Ambiguities
* 2009: Benchmarking Image Segmentation Algorithms
* 2009: quantitative characterization of the distinctiveness and robustness of local image descriptors, The
* 2009: Stochastic Image Denoising
* 2010: Non-rigid structure from locally-rigid motion
* 2010: Polynomial shape from shading
* 2012: Shape-Based Registration of Kidneys Across Differently Contrasted CT Scans
* 2013: Fast Rigid Motion Segmentation via Incrementally-Complex Local Models
* 2019: Geometric Disentanglement for Generative Latent Shape Models
* 2020: Cycle-Consistent Generative Rendering for 2D-3D Modality Translation
* 2021: Representation Learning via Global Temporal Alignment and Cycle-Consistency
* 2022: Flow Graph to Video Grounding for Weakly-Supervised Multi-step Localization
* 2022: P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision
* 2022: Representing 3D Shapes with Probabilistic Directed Distance Fields
* 2023: Disentangling Geometric Deformation Spaces in Generative Latent Shape Models
* 2023: StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos
* 2024: Shape-Based Measures Improve Scene Categorization
Includes: Jepson, A.D. Jepson, A.D.[Allan D.] Jepson, A.D.[Allan Douglas]
109 for Jepson, A.D.
Jepson, J.W.[John W.]
* 1979: Apparatus and method for analyzing a golf swing and displaying results
* 1979: Golf ball trajectory presentation system