Sapp, B.[Benjamin]
* 2009: Learning from ambiguously labeled images
* 2010: Adaptive pose priors for pictorial structures
* 2010: Cascaded Models for Articulated Pose Estimation
* 2010: Talking pictures: Temporal grouping and dialog-supervised person recognition
* 2011: Parsing human motion with stretchable models
* 2011: Recognizing manipulation actions in arts and crafts shows using domain-specific visual and textual cues
* 2013: Dynamic Structured Model Selection
* 2013: MODEC: Multimodal Decomposable Models for Human Pose Estimation
* 2016: Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition, The
* 2019: Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions
* 2021: Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset
* 2023: MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion
* 2023: MotionLM: Multi-Agent Motion Forecasting as Language Modeling
Includes: Sapp, B.[Benjamin] Sapp, B.[Ben]
13 for Sapp, B.
Sapp, J.
* 2016: Examining the Impact of Prior Models in Transmural Electrophysiological Imaging: A Hierarchical Multiple-Model Bayesian Approach
* 2017: Spatially Adaptive Multi-Scale Optimization for Local Parameter Estimation in Cardiac Electrophysiology
Sapp, J.L.
* 2019: Noninvasive Reconstruction of Transmural Transmembrane Potential With Simultaneous Estimation of Prior Model Error
Sapp, J.W.
* 2016: Airborne Co-polarization and Cross-Polarization Observations of the Ocean-Surface NRCS at C-Band
* 2019: Stepped Frequency Microwave Radiometer Wind-Speed Retrieval Improvements
* 2020: Comparison of the Sentinel-1B Synthetic Aperture Radar With Airborne Microwave Sensors in an Extra-Tropical Cyclone
Includes: Sapp, J.W. Sapp, J.W.[Joseph W.]
Sappa, A.[Angel]
* 2022: Semi-Supervised Hyperspectral Object Detection Challenge Results: PBVS 2022
* 2023: Deep Learning Based Approach for Synthesizing Realistic Depth Maps, A
* 2023: Dense extreme inception network for edge detection
Sappa, A.D.
* 1997: Efficient Approximation of Range Images Through Data-Dependent Adaptive Triangulations
* 1998: Two-stage Algorithm for Planning the Next View From Range Images, A
* 1999: Efficient Approximation of Gray-Scale Images Through Bounded Error Triangular Meshes
* 2000: Approximation and Processing of Intensity Images with Discontinuity-Preserving Adaptive Triangular Meshes
* 2000: Geometric and Topological Lossy Compression of Dense Range Images
* 2000: Incremental Multiview Integration of Range Images
* 2000: Modeling Range Images with Bounded Error Triangular Meshes Without Optimization
* 2001: Fast range image segmentation by an edge detection strategy
* 2001: Improving a Genetic Algorithm Segmentation by Means of a Fast Edge Detection Technique
* 2002: Improving segmentation results by studying surface continuity
* 2003: Monocular 3D human body reconstruction towards depth augmentation of television sequences
* 2004: 3D gait estimation from monoscopic video
* 2004: 3D Human Walking Modeling
* 2004: Automatic extraction of planar projections from panoramic range images
* 2004: Efficient generation of discontinuity-preserving adaptive triangulations from range images
* 2004: Surface model generation from range images of industrial environments
* 2004: Unsupervised motion classification by means of efficient feature selection and tracking
* 2005: Appearance-based 3D face tracker: an evaluation study
* 2005: Edge registration versus triangular mesh registration, a comparative study
* 2005: Prior Knowledge Based Motion Model Representation
* 2006: 3D Motion from Image Derivatives Using the Least Trimmed Square Regression
* 2006: Improving Appearance-Based 3D Face Tracking Using Sparse Stereo Data
* 2006: Iterative Multiresolution Scheme for SFM, An
* 2006: Real Time Vehicle Pose Using On-Board Stereo Vision System
* 2006: Rigid and Non-rigid Face Motion Tracking by Aligning Texture Maps and Stereo-Based 3D Models
* 2006: Splitting up panoramic range images into compact 2-1/2 D representations
* 2006: Unsupervised Contour Closure Algorithm for Range Image Edge-Based Segmentation
* 2007: Computer Vision Approaches to Pedestrian Detection: Visible Spectrum Survey
* 2007: Haar Wavelets and Edge Orientation Histograms for On-Board Pedestrian Detection
* 2007: Motion Segmentation from Feature Trajectories with Missing Data
* 2007: Real-Time Vehicle Ego-Motion Using Stereo Pairs and Particle Filters
* 2007: Rigid and Non-Rigid Face Motion Tracking by Aligning Texture Maps and Stereo 3D Models
* 2008: Efficient Approach to Onboard Stereo Vision System Pose Estimation, An
* 2008: Evaluation of an appearance-based 3D face tracker using dense 3D data
* 2008: Photometric stereo through an adapted alternation approach
* 2008: Recovery of Surface Normals and Reflectance from Different Lighting Conditions
* 2009: Efficient distance estimation for fitting implicit quadric surfaces
* 2009: featureless and stochastic approach to on-board stereo vision system pose, A
* 2009: Instantaneous 3D motion from image derivatives using the Least Trimmed Square regression
* 2009: Iterative Multiresolution Scheme for SFM with Missing Data, An
* 2009: Novel Approach to Geometric Fitting of Implicit Quadrics, A
* 2010: 2D-3D-based on-board pedestrian detection system
* 2010: fast accurate implicit polynomial fitting approach, A
* 2010: iterative multiresolution scheme for SFM with missing data: Single and multiple object scenes, An
* 2010: Multimodal template matching based on gradient and mutual information using scale-space
* 2010: On-Board Monocular Vision System Pose Estimation through a Dense Optical Flow
* 2010: Relaxing the 3L algorithm for an accurate implicit polynomial fitting
* 2010: Survey of Pedestrian Detection for Advanced Driver Assistance Systems
* 2011: Correspondence free registration through a point-to-model distance minimization
* 2011: Factorization-Based Approach To Photometric Stereo, A
* 2011: Implicit B-spline fitting using the 3L algorithm
* 2011: New Framework for Stereo Sensor Pose Through Road Segmentation and Registration, A
* 2011: Rank Estimation in Missing Data Matrix Problems
* 2011: Space Variant Representations for Mobile Platform Vision Applications
* 2011: Unsupervised local color correction for coarsely registered images
* 2012: Color Correction Using 3D Gaussian Mixture Models
* 2012: Evaluation of Similarity Functions in Multimodal Stereo
* 2012: Implicit Polynomial Representation Through a Fast Fitting Error Estimation
* 2012: Non-rigid Shape Registration: A Single Linear Least Squares Framework
* 2013: Fast and Robust L_1-averaging-based Pose Estimation for Driving Scenarios
* 2013: Laplacian Derivative Based Regularization for Optical Flow Estimation in Driving Scenario
* 2013: Multimodal Interaction in Image and Video Applications
* 2013: Multispectral piecewise planar stereo using Manhattan-world assumption
* 2013: Multispectral Stereo Image Correspondence
* 2013: Novel Space Variant Image Representation, A
* 2013: Revisiting Harris Corner Detector Algorithm: A Gradual Thresholding Approach
* 2013: Richer Representation the Better Registration, The
* 2014: Speed and Texture: An Empirical Study on Optical-Flow Accuracy in ADAS Scenarios
* 2015: Implicit B-Spline Surface Reconstruction
* 2015: LGHD: A feature descriptor for matching across non-linear intensity variations
* 2015: Multispectral Stereo Odometry
* 2015: Probabilistic Approach for Color Correction in Image Mosaicking Applications, A
* 2016: Fine-Tuning Based Deep Convolutional Networks for Lepidopterous Genus Recognition
* 2016: Learning Cross-Spectral Similarity Measures with Deep Convolutional Neural Networks
* 2017: Colorizing Infrared Images Through a Triplet Conditional DCGAN Architecture
* 2017: Infrared Image Colorization Based on a Triplet DCGAN Architecture
* 2017: Multispectral single-sensor RGB-NIR imaging: New challenges and opportunities
* 2018: Deep Learning Based Single Image Dehazing
* 2018: Near InfraRed Imagery Colorization
* 2018: Vegetation Index Estimation from Monospectral Images
* 2019: Thermal Image Super-Resolution Through Deep Convolutional Neural Network
* 2020: Deep Learning based Corn Kernel Classification
* 2020: Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection
* 2020: Thermal Image Super-Resolution Challenge - PBVS 2020
* 2021: Camera pose estimation in multi-view environments: From virtual scenarios to the real world
* 2021: Cycle Generative Adversarial Network: Towards A Low-Cost Vegetation Index Estimation
* 2021: LiNet: A Lightweight Network for Image Super Resolution
* 2021: MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution
* 2021: Non-homogeneous Haze Removal Through a Multiple Attention Module Architecture
* 2021: Synthesized Image Datasets: Towards an Annotation-Free Instance Segmentation Strategy
* 2021: Thermal Image Super-Resolution Challenge - PBVS 2021
* 2022: Multi-modal Aerial View Object Classification Challenge Results: PBVS 2022
* 2022: Thermal Image Super-Resolution Challenge Results - PBVS 2022
* 2023: Multi-modal Aerial View Image Challenge: Translation from Synthetic Aperture Radar to Electro-Optical Domain Results - PBVS 2023
* 2023: Multi-modal Aerial View Object Classification Challenge Results - PBVS 2023
* 2023: Thermal Image Super-Resolution Challenge Results - PBVS 2023
* 2023: Tiny and Efficient Model for the Edge Detection Generalization
Includes: Sappa, A.D. Sappa, A.D.[Angel Domingo] Sappa, A.D.[Angel D.]
97 for Sappa, A.D.
Sapper, D.B.
* 2010: Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms
Sapper, J.[John]
* 2014: Reef-Scale Thermal Stress Monitoring of Coral Ecosystems: New 5-km Global Products from NOAA Coral Reef Watch
* 2016: AVHRR GAC SST Reanalysis Version 1 (RAN1)
Sappey Marinier, D.
* 2005: Generalization of FDK 3D Tomographic Reconstruction Algorithm for an Off-centered Cone Beam Geometry
* 2015: longitudinal model for variations detection in white matter fiber-bundles, A
* 2016: Improving QuickBundles to Extract Anatomically Coherent White Matter Fiber-Bundles
* 2016: White Matter Fiber-Bundle Analysis Using Non-negative Tensor Factorization
* 2021: Tensor Factorization of Brain Structural Graph for Unsupervised Classification in Multiple Sclerosis
Includes: Sappey Marinier, D. Sappey-Marinier, D. Sappey-Marinier, D.[Dominique]
Sappo, C.R.[Charlotte R.]
* 2022: Dual-Tuned Lattice Balun for Multi-Nuclear MRI and MRS