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