Sigaard, M.K.[Morten K.]
* 2016: Multi-biometric Template Protection on Smartphones: An Approach Based on Binarized Statistical Features and Bloom Filters
* 2016: Multi-biometric template protection: A security analysis of binarized statistical features for bloom filters on smartphones
Sigaeva, K.[Ksenia]
* 2023: Near-UV Pulsations in the Aurora Region Measured by Orbital Telescope TUS during High-Intensity and Long-Duration Continuous AE Activity
Sigal, G.[Gennady]
* 2012: Micro Translating Lens Unit for Stereo Imaging Through Single-Image Endoscope, A
Sigal, I.A.
* 2014: Method to Estimate Biomechanics and Mechanical Properties of Optic Nerve Head Tissues From Parameters Measurable Using Optical Coherence Tomography, A
Sigal, L.[Leonid]
* 2000: Estimation and Prediction of Evolving Color Distributions for Skin Segmentation under Varying Illumination
* 2001: 3D Hand Pose Reconstruction Using Specialized Mappings
* 2002: Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
* 2004: 3D Human Limb Detection using Space Carving and Multi-View Eigen Models
* 2004: Gibbs likelihoods for Bayesian tracking
* 2004: Skin Color-Based Video Segmentation under Time-Varying Illumination
* 2004: Tracking loose-limbed people
* 2005: Quantitative Evaluation of Video-based 3D Person Tracking, A
* 2006: HumanEva: Synchronized Video and Motion Capture Dataset for Evaluation of Articulated Human Motion
* 2006: Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation
* 2006: Predicting 3D People from 2D Pictures
* 2007: Detailed Human Shape and Pose from Images
* 2007: Shining a Light on Human Pose: On Shadows, Shading and the Estimation of Pose and Shape
* 2008: Physical simulation for probabilistic motion tracking
* 2009: Estimating Contact Dynamics
* 2009: Shared Kernel Information Embedding for Discriminative Inference
* 2010: Dynamical binary latent variable models for 3D human pose tracking
* 2010: Guest Editorial: State of the Art in Image- and Video-Based Human Pose and Motion Estimation
* 2010: Human attributes from 3D pose tracking
* 2010: HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion
* 2010: Latent Gaussian Mixture Regression for Human Pose Estimation
* 2011: Inferring 3D body pose using variational semi-parametric regression
* 2011: Visual Analysis of Humans: Looking at People
* 2012: Destination Flow for Crowd Simulation
* 2012: Human attributes from 3D pose tracking
* 2012: Human Context: Modeling Human-Human Interactions for Monocular 3D Pose Estimation
* 2012: Loose-limbed People: Estimating 3D Human Pose and Motion Using Non-parametric Belief Propagation
* 2012: No Bias Left behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation
* 2012: Shared Kernel Information Embedding for Discriminative Inference
* 2012: Social roles in hierarchical models for human activity recognition
* 2013: Action Recognition and Localization by Hierarchical Space-Time Segments
* 2013: Canonical locality preserving Latent Variable Model for discriminative pose inference
* 2013: Dynamical Simulation Priors for Human Motion Tracking
* 2013: From Subcategories to Visual Composites: A Multi-level Framework for Object Detection
* 2013: Poselet Key-Framing: A Model for Human Activity Recognition
* 2014: Covariate Shift Adaptation for Discriminative 3D Pose Estimation
* 2014: Domain Adaptation for Structured Regression
* 2014: Joint Summarization of Large-Scale Collections of Web Images and Videos for Storyline Reconstruction
* 2014: Parameterizing Object Detectors in the Continuous Pose Space
* 2015: Cross-Domain Matching with Squared-Loss Mutual Information
* 2015: Expanding object detector's Horizon: Incremental learning framework for object detection in videos
* 2015: Family Member Identification from Photo Collections
* 2015: Joint photo stream and blog post summarization and exploration
* 2015: Learning to Select and Order Vacation Photographs
* 2015: Ranking and retrieval of image sequences from multiple paragraph queries
* 2015: Space-time tree ensemble for action recognition
* 2015: Storyline Representation of Egocentric Videos with an Applications to Story-Based Search
* 2016: Harnessing Object and Scene Semantics for Large-Scale Video Understanding
* 2016: Learning Activity Progression in LSTMs for Activity Detection and Early Detection
* 2016: Semi-supervised Vocabulary-Informed Learning
* 2017: Do less and achieve more: Training CNNs for action recognition utilizing action images from the Web
* 2017: Learn How to Choose: Independent Detectors Versus Composite Visual Phrases
* 2017: Weakly-Supervised Visual Grounding of Phrases with Linguistic Structures
* 2018: Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization
* 2018: Modular Generative Adversarial Networks
* 2018: Neural Multi-sequence Alignment TeCHnique (NeuMATCH), A
* 2018: Probabilistic Video Generation Using Holistic Attribute Control
* 2018: Recent Advances in Zero-Shot Recognition: Toward Data-Efficient Understanding of Visual Content
* 2018: Show Me a Story: Towards Coherent Neural Story Illustration
* 2018: Space-Time Tree Ensemble for Action Recognition and Localization
* 2018: Walking on Thin Air: Environment-Free Physics-Based Markerless Motion Capture
* 2019: AttentionRNN: A Structured Spatial Attention Mechanism
* 2019: G3raphGround: Graph-Based Language Grounding
* 2019: Image Generation From Layout
* 2019: Interpretable Spatio-Temporal Attention for Video Action Recognition
* 2019: Joint Event Detection and Description in Continuous Video Streams
* 2019: Joint Event Detection and Description in Continuous Video Streams
* 2019: LayoutVAE: Stochastic Scene Layout Generation From a Label Set
* 2019: Mixture-Kernel Graph Attention Network for Situation Recognition
* 2019: Multi-Level Semantic Feature Augmentation for One-Shot Learning
* 2019: Neural Sequential Phrase Grounding (SeqGROUND)
* 2019: Variational Auto-Encoder Model for Stochastic Point Processes, A
* 2019: Watch, Listen and Tell: Multi-Modal Weakly Supervised Dense Event Captioning
* 2019: Weakly-Supervised Spatial Context Networks
* 2020: DeepCT: A novel deep complex-valued network with learnable transform for video saliency prediction
* 2020: Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction
* 2020: Generating Videos of Zero-shot Compositions of Actions and Objects
* 2020: Improved Few-Shot Visual Classification
* 2020: Layout2image: Image Generation from Layout
* 2020: Predicting Personality from Book Preferences with User-Generated Content Labels
* 2020: Vocabulary-Informed Zero-Shot and Open-Set Learning
* 2021: DeepVS2.0: A Saliency-Structured Deep Learning Method for Predicting Dynamic Visual Attention
* 2021: Discriminative feature alignment: Improving transferability of unsupervised domain adaptation by Gaussian-guided latent alignment
* 2021: Energy-Based Learning for Scene Graph Generation
* 2021: Guest Editorial Introduction to the Special Issue on Large-Scale Visual Sensor Networks: Architectures and Applications
* 2021: Improved Attention for Visual Question Answering, An
* 2021: Person-in-Context Synthesis with Compositional Structural Space
* 2021: Saliency-Guided Image Translation
* 2021: Segmentation-grounded Scene Graph Generation
* 2021: UniT: Unified Knowledge Transfer for Any-shot Object Detection and Segmentation
* 2022: Generalizable Patch-Based Neural Rendering
* 2022: Layered Controllable Video Generation
* 2022: Learning the Compositional Domains for Generalized Zero-shot Learning
* 2022: Light Field Neural Rendering
* 2022: Semi-Supervised Grounding Alignment for Multi-Modal Feature Learning
* 2023: DINN360: Deformable Invertible Neural Network for Latitude-aware 360° Image Rescaling
* 2023: Make-A-Story: Visual Memory Conditioned Consistent Story Generation
* 2023: Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video
* 2023: Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching
* 2023: VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge
* 2024: Framework-agnostic Semantically-aware Global Reasoning for Segmentation
* 2024: Self-Supervised Relation Alignment for Scene Graph Generation
* 2024: Training feedforward neural nets in Hopfield-energy-based configuration: A two-step approach
Includes: Sigal, L.[Leonid] Sigal, L.
103 for Sigal, L.
Sigala Rodriguez, J.A.[Jose A.]
* 2022: What Are Contemporary Mexican Conifers Telling Us? A Perspective Offered from Tree Rings Linked to Climate and the NDVI along a Spatial Gradient
Includes: Sigala Rodriguez, J.A.[Jose A.] Sigala-Rodríguez, J.A.[José A.]
Sigalas, M.[Markos]
* 2013: Robust Model-Based 3D Torso Pose Estimation in RGB-D Sequences
* 2015: Visual Estimation of Attentive Cues in HRI: The Case of Torso and Head Pose
* 2016: Full-Body Pose Tracking: The Top View Reprojection Approach
Sigalingging, X.K.[Xanno Kharis]
* 2020: Predicting station level demand in a bike-sharing system using recurrent neural networks
Sigari, M.H.[Mohamad Hoseyn]
* 2007: Best wavelength selection for Gabor wavelet using GA for EBGM algorithm
* 2016: framework for dynamic restructuring of semantic video analysis systems based on learning attention control, A
Includes: Sigari, M.H.[Mohamad Hoseyn] Sigari, M.H.[Mohamad-Hoseyn]
Sigaud, O.[Olivier]
* 2022: Neural Architecture Search for Fracture Classification