Sclabassi, R.J.
* 1995: Symmetric wavelet edge detector of the minimum length
* 2005: Application of MAP-MRF to Change Detection in Image Sequence Based on Mean Field Theory, An
Includes: Sclabassi, R.J. Sclabassi, R.J.[Robert J.]
Sclapfer, D.
* 2009: Status report of the EuroSDR project Radiometric aspects of digital photogrammetric airborne images
Includes: Sclapfer, D. Scläpfer, D. (Maybe also Sclaepfer, D.)
Sclaroff, S.
* 1990: Segmentation by Minimal Description
* 1991: Closed-Form Solutions for Physically Based Shape Modeling and Recognition
* 1991: Closed-Form Solutions for Physically Based Shape Modeling and Recognition
* 1991: Non-Rigid Motion and Structure from Contour
* 1992: Finite-Element Framework for Correspondence and Shape Description, A
* 1993: Modal Framework for Correspondence and Description, A
* 1993: Photobook: Tools for Content-Based Manipulation of Image Databases
* 1994: Modal Matching for Correspondence and Recognition
* 1994: Modal represenations
* 1994: Object Recognition and Categorization Using Modal Matching
* 1994: On Modal Modeling for Medical Images: Underconstrained Shape Description and Data Compression
* 1994: Photobook: Tools for Content-Based Manipulation of Image Databases
* 1994: Photobook: Tools for Content-Based Manipulation of Image Databases
* 1994: Physically-Based Combinations of Views: Representing Rigid and Nonrigid Motion
* 1995: Modal Matching for Correspondence and Recognition
* 1995: Modal Matching: A Method for Describing, Comparing, and Manipulating Digital Signals
* 1996: Photobook: Content-Based Manipulation of Image Databases
* 1997: Deformable Prototypes for Encoding Shape Categories in Image Databases
* 1997: ImageRover: A Content-Based Image Browser for the World Wide Web
* 1998: Active Blobs
* 1998: Characterization of Neuropathological Shape Deformations
* 1998: Combining textual and visual cues for content-based image retrieval on the World Wide Web
* 1998: Head Tracking via Robust Registration in Texture Map Images
* 1999: 3D Trajectory Recovery for Tracking Multiple Objects and Trajectory-Guided Recognition of Actions
* 1999: Deformable Shape Detection and Description via Model-Based Region Grouping
* 1999: Fast, Reliable Head Tracking under Varying Illumination
* 1999: Unifying Textual and Visual Cues for Content-Based Image Retrieval on the World Wide Web
* 2000: Estimation and Prediction of Evolving Color Distributions for Skin Segmentation under Varying Illumination
* 2000: Fast, Reliable Head Tracking under Varying Illumination: An Approach Based on Registration of Textured-Mapped 3D Models
* 2000: Index trees for efficient deformable shape-based retrieval
* 2000: Inferring Body Pose without Tracking Body Parts
* 2000: Learning and synthesizing human body motion and posture
* 2000: Recursive Estimation of Motion and Planar Structure
* 2000: Specialized Mappings and the Estimation of Human Body Pose from a Single Image
* 2001: 3D Hand Pose Reconstruction Using Specialized Mappings
* 2001: Deformable Shape Detection and Description via Model-Based Region Grouping
* 2001: Deformable Shape Detection and Description via Model-Based Region Grouping
* 2001: Estimating 3D Body Pose using Uncalibrated Cameras
* 2001: Medical Image Segmentation and Retrieval Via Deformable Models
* 2001: Region Segmentation via Deformable Model-Guided Split and Merge
* 2001: Shape-Guided Split and Merge of Image Regions
* 2002: Algorithms for inference in specialized maps for recovering 3d hand pose
* 2002: appearance-based framework for 3d hand shape classification and camera viewpoint estimation, An
* 2002: Automatic detection of relevant head gestures in american sign language communication
* 2002: Index trees for accelerating deformable template matching
* 2002: Stochastic mesh-based multiview reconstruction
* 2002: Surface reconstruction from multiple views using rational B-splines and knot insertion
* 2003: Active blobs: region-based, deformable appearance models
* 2003: Database Indexing Methods for 3D Hand Pose Estimation
* 2003: Discovering clusters in motion time-series data
* 2003: Estimating 3D hand pose from a cluttered image
* 2003: framework for heading-guided recognition of human activity, A
* 2003: Segmenting foreground objects from a dynamic textured background via a robust Kalman filter
* 2003: Stochastic refinement of the visual hull to satisfy photometric and silhouette consistency constraints
* 2004: BoostMap: a method for efficient approximate similarity rankings
* 2004: Deformable model-guided region split and merge of image regions
* 2004: Extraction and clustering of motion trajectories in video
* 2004: Skin Color-Based Video Segmentation under Time-Varying Illumination
* 2005: Accurate and Efficient Gesture Spotting via Pruning and Subgesture Reasoning
* 2005: Articulated Pose Estimation in a Learned Smooth Space of Feasible Solutions
* 2005: Automatic 2D Hand Tracking in Video Sequences
* 2005: Boosting Nearest Neighbor Classifiers for Multiclass Recognition
* 2005: Efficient Nearest Neighbor Classification Using a Cascade of Approximate Similarity Measures
* 2005: Face Identification by a Cascade of Rejection Classifiers
* 2005: Handsignals Recognition From Video Using 3D Motion Capture Data
* 2005: Invariant Representation for Matching Trajectories Across Uncalibrated Video Streams, An
* 2005: Look there! predicting where to look for motion in an active camera network
* 2005: Multi-Scale 3D Scene Flow from Binocular Stereo Sequences
* 2005: Online and offline character recognition using alignment to prototypes
* 2005: Periodic Motion Detection and Estimation via Space-Time Sampling
* 2005: Simultaneous Localization and Recognition of Dynamic Hand Gestures
* 2005: Tracking, analysis, and recognition of human gestures in video
* 2005: View registration using interesting segments of planar trajectories
* 2006: Automated camera layout to satisfy task-specific and floor plan-specific coverage requirements
* 2006: Combining Generative and Discriminative Models in a Framework for Articulated Pose Estimation
* 2006: Detecting Instances of Shape Classes That Exhibit Variable Structure
* 2006: Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers
* 2007: ClassMap: Efficient Multiclass Recognition via Embeddings
* 2007: Parameter Sensitive Detectors
* 2007: Simultaneous Learning of Nonlinear Manifold and Dynamical Models for High-dimensional Time Series
* 2008: American Sign Language Lexicon Video Dataset, The
* 2008: BoostMap: An Embedding Method for Efficient Nearest Neighbor Retrieval
* 2008: Detecting Objects of Variable Shape Structure With Hidden State Shape Models
* 2008: Layered Graphical Models for Tracking Partially Occluded Objects
* 2008: Multi-Scale 3D Scene Flow from Binocular Stereo Sequences
* 2008: Multiplicative kernels: Object detection, segmentation and pose estimation
* 2008: Tracking with Dynamic Hidden-State Shape Models
* 2009: alignment based similarity measure for hand detection in cluttered sign language video, An
* 2009: Is a detector only good for detection?
* 2009: Learning actions from the Web
* 2009: Object Matching in Distributed Video Surveillance Systems by LDA-Based Appearance Descriptors
* 2009: Reducing JointBoost-based multiclass classification to proximity search
* 2009: Sign Language Spotting with a Threshold Model Based on Conditional Random Fields
* 2009: Unified Framework for Gesture Recognition and Spatiotemporal Gesture Segmentation, A
* 2010: 3D Human Motion Tracking with a Coordinated Mixture of Factor Analyzers
* 2010: Fast globally optimal 2D human detection with loopy graph models
* 2010: Fast Multi-aspect 2D Human Detection
* 2010: Matching Trajectories between Video Sequences by Exploiting a Sparse Projective Invariant Representation
* 2010: Object Recognition and Localization Via Spatial Instance Embedding
* 2010: Object, Scene and Actions: Combining Multiple Features for Human Action Recognition
* 2011: Exploiting phonological constraints for handshape inference in ASL video
* 2011: Layered Graphical Models for Tracking Partially Occluded Objects
* 2011: Learning a Family of Detectors via Multiplicative Kernels
* 2011: Learning parameterized histogram kernels on the simplex manifold for image and action classification
* 2011: Real-time structure and motion recovery from two views of a multiplanar scene
* 2011: Scale and Rotation Invariant Matching Using Linearly Augmented Trees
* 2012: Contextual Object Detection Using Set-Based Classification
* 2012: Coupling detection and data association for multiple object tracking
* 2012: Divide, Conquer and Coordinate: Globally Coordinated Switching Linear Dynamical System
* 2012: Online Multi-person Tracking by Tracker Hierarchy
* 2012: Path Modeling and Retrieval in Distributed Video Surveillance Databases
* 2012: People in Motion: Pose, Action and Communication
* 2012: Scale resilient, rotation invariant articulated object matching
* 2012: Unsupervised Learning of Discriminative Relative Visual Attributes
* 2012: Web-Based Classifiers for Human Action Recognition
* 2013: Action Recognition and Localization by Hierarchical Space-Time Segments
* 2013: Decoding Children's Social Behavior
* 2013: Joint Alignment and Modeling of Correlated Behavior Streams
* 2013: Randomized Ensemble Tracking
* 2013: Saliency Detection: A Boolean Map Approach
* 2014: 3D pose estimation of bats in the wild
* 2014: Adaptive Structured Pooling for Action Recognition
* 2014: Best of Automatic Face and Gesture Recognition 2013
* 2014: Contextual Rescoring for Human Pose Estimation
* 2014: Gesture Modeling by Hanklet-Based Hidden Markov Model
* 2014: MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization
* 2014: Parameterizing Object Detectors in the Continuous Pose Space
* 2015: Adaptive Hashing for Fast Similarity Search
* 2015: Hankelet-based dynamical systems modeling for 3D action recognition
* 2015: Minimum Barrier Salient Object Detection at 80 FPS
* 2015: Online supervised hashing
* 2015: random forest approach to segmenting and classifying gestures, A
* 2015: Salient Object Subitizing
* 2015: Scale and Rotation Invariant Matching Using Linearly Augmented Trees
* 2015: Space-time tree ensemble for action recognition
* 2016: Discovering useful parts for pose estimation in sparsely annotated datasets
* 2016: Exploiting Surroundedness for Saliency Detection: A Boolean Map Approach
* 2016: Learning Activity Progression in LSTMs for Activity Detection and Early Detection
* 2016: Poselet-Based Contextual Rescoring for Human Pose Estimation via Pictorial Structures
* 2016: Top-Down Neural Attention by Excitation Backprop
* 2016: Unconstrained Salient Object Detection via Proposal Subset Optimization
* 2017: Boolean Map Distance: Theory and Efficient Computation, The
* 2017: Comparing random forest approaches to segmenting and classifying gestures
* 2017: Do less and achieve more: Training CNNs for action recognition utilizing action images from the Web
* 2017: MIHash: Online Hashing with Mutual Information
* 2017: Online supervised hashing
* 2017: Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks
* 2017: Salient Object Subitizing
* 2018: Context-Sensitive Prediction of Facial Expressivity Using Multimodal Hierarchical Bayesian Neural Networks
* 2018: Excitation Backprop for RNNs
* 2018: Hashing as Tie-Aware Learning to Rank
* 2018: Hashing with Binary Matrix Pursuit
* 2018: Local Descriptors Optimized for Average Precision
* 2018: Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)
* 2018: Space-Time Tree Ensemble for Action Recognition and Localization
* 2018: Top-Down Neural Attention by Excitation Backprop
* 2019: Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations
* 2019: Deep Metric Learning to Rank
* 2019: Hashing with Mutual Information
* 2019: Language Features Matter: Effective Language Representations for Vision-Language Tasks
* 2019: Semi-Supervised Domain Adaptation via Minimax Entropy
* 2020: DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation
* 2020: Multi-way Encoding for Robustness
* 2020: Real-time Visual Object Tracking with Natural Language Description
* 2020: Temporally Distributed Networks for Fast Video Semantic Segmentation
* 2021: 5th AI City Challenge, The
* 2021: CDS: Cross-Domain Self-supervised Pre-training
* 2021: Distillation Multiple Choice Learning for Multimodal Action Recognition
* 2021: Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
* 2021: Explainable Deep Classification Models for Domain Generalization
* 2021: Guided Zoom: Zooming into Network Evidence to Refine Fine-Grained Model Decisions
* 2021: Learning Cross-Modal Contrastive Features for Video Domain Adaptation
* 2021: Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System
* 2021: MILA: Multi-Task Learning from Videos via Efficient Inter-Frame Attention
* 2021: Self-supervised Visual Attribute Learning for Fashion Compatibility
* 2021: Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers
* 2021: Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density
* 2022: 6th AI City Challenge, The
* 2022: Broad Study of Pre-training for Domain Generalization and Adaptation, A
* 2022: Leveraging Geometric Structure for Label-Efficient Semi-Supervised Scene Segmentation
* 2022: Many-to-many Splatting for Efficient Video Frame Interpolation
* 2022: Multi-varied Cumulative Alignment for Domain Adaptation
* 2022: Revisiting Image-Language Networks for Open-Ended Phrase Detection
* 2022: Simulated Adversarial Testing of Face Recognition Models
* 2022: Unified Framework for Domain Adaptive Pose Estimation, A
* 2023: 7th AI City Challenge, The
* 2024: DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition With Limited Annotations
* 2024: Video Frame Interpolation With Many-to-Many Splatting and Spatial Selective Refinement
Includes: Sclaroff, S. Sclaroff, S.[Stan]
188 for Sclaroff, S.
Sclauzero, J.[Joseph]
* 2020: Impact of Pan-Sharpening and Spectral Resolution on Vineyard Segmentation through Machine Learning, The