Index for brem

Brem, L. * 1994: Machine Vision System for Enhancing the Teleoperation of an Industrial Robot, A

Breman, H.[Hester] * 2020: Image Registration-based Method for EPI Distortion Correction Based on Opposite Phase Encoding (COPE), An

Bremananlh, R. * 2012: Rotation invariant palmprint recognition: An overview and implementation

Bremananth, R. * 2010: Verification of bank cheque images using Hamming measures

Bremer, M. * 2013: Derivation of tree skeletons and error assessment using LiDAR point cloud data of varying quality
* 2016: Comprehensive Spectral Signal Investigation Of A Larch Forest Combining Ground- And Satellite-based Measurements
* 2017: Calibration and Validation of a Detailed Architectural Canopy Model Reconstruction for the Simulation of Synthetic Hemispherical Images and Airborne LiDAR Data
* 2018: Derivation of Three-Dimensional Displacement Vectors from Multi-Temporal Long-Range Terrestrial Laser Scanning at the Reissenschuh Landslide (Tyrol, Austria)
* 2019: Simulating Unmanned-aerial-vehicle Based Laser Scanning Data For Efficient Mission Planning in Complex Terrain
* 2020: Training In Innovative Technologies for Close-range Sensing In Alpine Terrain - 3rd Edition
Includes: Bremer, M. Bremer, M.[Magnus]

Bremer, P.T. * 2014: Automatic image annotation using inverse maps from semantic embeddings
* 2014: Image segmentation using consensus from hierarchical segmentation ensembles
* 2015: Randomized Ensemble Approach to Industrial CT Segmentation, A
* 2017: Poisson Disk Sampling on the Grassmannnian: Applications in Subspace Optimization
* 2017: Two-dimensional shape retrieval using the distribution of extrema of Laplacian eigenfunctions
* 2020: MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking
* 2021: Data-Driven Estimation of Temporal-Sampling Errors in Unsteady Flows
* 2023: Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models
Includes: Bremer, P.T. Bremer, P.T.[Peer-Timo]
8 for Bremer, P.T.

Bremer, T.[Timo] * 2013: Ultrascale Visualization of Climate Data
* 2016: 3D Acquisition, Processing and Visualization of Archaeological Artifacts
* 2016: Interacting with Simulated Archaeological Assets
* 2018: Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion
Includes: Bremer, T.[Timo] Bremer, T.[Thomas] Bremer, T.

Bremm, S.[Sebastian] * 2013: Opening up the black box of medical image segmentation with statistical shape models

Bremmer, C.[Chris] * 2022: Drone-Borne Electromagnetic (DR-EM) Surveying in The Netherlands: Lab and Field Validation Results

Bremner, B. * 1991: RADIUS Common Development Environment, The
* 1992: RADIUS Common Development Environment, The

Bremner, J.[Julie] * 2021: Semi-Supervised Segmentation for Coastal Monitoring Seagrass Using RPA Imagery
* 2023: Seagrass Mapping Toolbox for South Pacific Environments, A

Bremner, P.[Paul] * 2021: Audio-Driven Robot Upper-Body Motion Synthesis

Bremner, W.[William] * 1996: Integration of Image Understanding Exploitation Algorithms in the RADIUS Testbed
* 1997: Integration of Image Understanding Exploitation Algorithms in the RADIUS Testbed
* 1997: RADIUS Phase II Program, The
* 1997: RADIUS Phase II Program, The

Bremond, F.[Francois] * 1997: Object Tracking and Scenario Recognition for Video-Surveillance
* 1997: Tracking Multiple Non-Rigid Objects in a Cluttered Scene
* 1998: Event Detection and Analysis from Video Streams
* 1998: Scenario Recognition in Airborne Video Imagery
* 1998: Scenario Recognition in Airborne Video Imagery
* 1998: Tracking Multiple Nonrigid Objects In Video Sequences
* 2000: Bayesian Framework for Video Surveillance Application
* 2000: Representation and Optimal Recognition of Human Activities
* 2001: Event Detection and Analysis from Video Streams
* 2001: Tracking Multiple Individuals for Video Communication
* 2002: Group behavior recognition with multiple cameras
* 2002: Human Behaviour Visualisation and Simulation for Automatic Video Understanding
* 2003: Automatic Video Interpretation: A Novel Algorithm for Temporal Scenario Recognition
* 2003: Automatic Video Interpretation: A Recognition Algorithm for Temporal Scenarios Based on Pre-compiled Scenario Models
* 2003: Recurrent Bayesian Network for the Recognition of Human Behaviors from Video
* 2004: Video-based event recognition: activity representation and probabilistic recognition methods
* 2005: Design and Assessment of an Intelligent Activity Monitoring Platform
* 2005: Shape recognition based on a video and multi-sensor system
* 2005: Video surveillance for aircraft activity monitoring
* 2005: Visual Surveillance for Aircraft Activity Monitoring
* 2006: Applying 3D human model in a posture recognition system
* 2006: APRIORI-based Method for Frequent Composite Event Discovery in Videos, An
* 2006: Real-Time Scene Understanding System for Airport Apron Monitoring, A
* 2007: ETISEO, performance evaluation for video surveillance systems
* 2007: New Evaluation Approach for Video Processing Algorithms, A
* 2007: Real-time control of video surveillance systems with program supervision techniques
* 2007: Video understanding for complex activity recognition
* 2008: Commentary Paper 2 on Action Signature: A Novel Holistic Representation for Action Recognition
* 2008: Commentary Paper on Learning and Classification of Trajectories in Dynamic Scenes: A General Framework for Live Video Analysis
* 2008: Crowd Behavior Recognition for Video Surveillance
* 2008: Extraction of activity patterns on large video recordings
* 2008: Monitoring Activities of Daily Living (ADLs) of Elderly Based on 3D Key Human Postures
* 2008: Optimizing trajectories clustering for activity recognition
* 2008: Scene Understanding and Activity Recognition
* 2008: Shadow Removal in Indoor Scenes
* 2009: Appearance based retrieval for tracked objects in surveillance videos
* 2009: Crowd event recognition using HOG tracker
* 2009: Incremental Video Event Learning
* 2009: Multisensor Fusion for Monitoring Elderly Activities at Home
* 2009: Tracking HoG Descriptors for Gesture Recognition
* 2009: Trajectory based Primitive Events for learning and recognizing activity
* 2010: Activity Monitoring System for Real Elderly at Home: Validation Study, An
* 2010: Body Parts Detection for People Tracking Using Trees of Histogram of Oriented Gradient Descriptors
* 2010: Framework Dealing with Uncertainty for Complex Event Recognition, A
* 2010: Gesture recognition by learning local motion signatures
* 2010: Intelligent Video Systems: A Review of Performance Evaluation Metrics that Use Mapping Procedures
* 2010: On-Line Video Recognition and Counting of Harmful Insects
* 2010: Person Re-identification Using Haar-based and DCD-based Signature
* 2010: Person Re-identification Using Spatial Covariance Regions of Human Body Parts
* 2010: Trajectory Based Activity Discovery
* 2010: Video Activity Extraction and Reporting with Incremental Unsupervised Learning
* 2011: Cognitive Vision System for Nuclear Fusion Device Monitoring, A
* 2011: Evaluation of Local Descriptors for Action Recognition in Videos
* 2011: Multiple-shot human re-identification by Mean Riemannian Covariance Grid
* 2011: Probabilistic Recognition of Complex Event
* 2011: Unsupervised Activity Extraction on Long-Term Video Recordings Employing Soft Computing Relations
* 2011: Unsupervised Discovery, Modeling, and Analysis of Long Term Activities
* 2012: Boosted human re-identification using Riemannian manifolds
* 2012: Contextual Statistics of Space-Time Ordered Features for Human Action Recognition
* 2012: Generic Framework for Video Understanding Applied to Group Behavior Recognition, A
* 2012: Learning to Match Appearances by Correlations in a Covariance Metric Space
* 2012: Multi-target tracking by discriminative analysis on Riemannian manifold
* 2012: Online Learning of Activities from Video
* 2012: Qualitative Evaluation of Detection and Tracking Performance
* 2012: Recognizing Gestures by Learning Local Motion Signatures of HOG Descriptors
* 2012: Recovering People Tracking Errors Using Enhanced Covariance-Based Signatures
* 2012: Statistics of Pairwise Co-occurring Local Spatio-temporal Features for Human Action Recognition
* 2012: Unsupervised Activity Analysis and Monitoring Algorithms for Effective Surveillance Systems
* 2012: Video Surveillance: Past, Present, and Now the Future
* 2013: Activity recognition and uncertain knowledge in video scenes
* 2013: Evaluation of a monitoring system for event recognition of older people
* 2013: Online tracking parameter adaptation based on evaluation
* 2013: Relative dense tracklets for human action recognition
* 2014: 3D trajectories for action recognition
* 2014: Automatic tracker selection w.r.t object detection performance
* 2014: Background subtraction in people detection framework for RGB-D cameras
* 2014: Brownian descriptor: A rich meta-feature for appearance matching
* 2014: Gait Recognition Based on Modified Phase Only Correlation
* 2014: Global tracker: An online evaluation framework to improve tracking quality
* 2014: Improving person re-identification by viewpoint cues
* 2014: Online parameter tuning for object tracking algorithms
* 2014: Representing visual appearance by video Brownian covariance descriptor for human action recognition
* 2014: Uncertainty Modeling Framework for Constraint-Based Elementary Scenario Detection in Vision Systems
* 2015: Adaptive Neuro-Fuzzy Controller for Multi-object Tracker
* 2015: Minimizing hallucination in histogram of Oriented Gradients
* 2015: Robust global tracker based on an online estimation of tracklet descriptor reliability
* 2015: Unsupervised discovery of human activities from long-time videos
* 2016: Data-Driven Motion Pattern Segmentation in a Crowded Environments
* 2016: Exploring depth information for head detection with depth images
* 2016: Human violence recognition and detection in surveillance videos
* 2016: hybrid framework for online recognition of activities of daily living in real-world settings, A
* 2016: Image-based gender estimation from body and face across distances
* 2016: Modeling spatial layout of features for real world scenario RGB-D action recognition
* 2016: Multi-object tracking of pedestrian driven by context
* 2016: Semantic Event Fusion of Different Visual Modality Concepts for Activity Recognition
* 2016: Semi-supervised understanding of complex activities from temporal concepts
* 2016: Unsupervised data association for metric learning in the context of multi-shot person re-identification
* 2017: Action recognition based on a mixture of RGB and depth based skeleton
* 2017: BEHAVE: Behavioral Analysis of Visual Events for Assisted Living Scenarios
* 2017: Exploiting Feature Correlations by Brownian Statistics for People Detection and Recognition
* 2017: Globality: Locality-Based Consistent Discriminant Feature Ensemble for Multicamera Tracking
* 2017: Multi-Object tracking using multi-channel part appearance representation
* 2017: Multi-shot Person Re-Identification Using Part Appearance Mixture
* 2017: Toward Abnormal Trajectory and Event Detection in Video Surveillance
* 2018: Comparing Methods for Assessment of Facial Dynamics in Patients with Major Neurocognitive Disorders
* 2018: From Attribute-Labels to Faces: Face Generation Using a Conditional Generative Adversarial Network
* 2018: LBP Channels for Pedestrian Detection
* 2018: Mitigating Bias in Gender, Age and Ethnicity Classification: A Multi-task Convolution Neural Network Approach
* 2018: Show me your face and I will tell you your height, weight and body mass index
* 2019: Cross Domain Residual Transfer Learning for Person Re-Identification
* 2019: Magnitude-Orientation Stream network and depth information applied to activity recognition
* 2019: New Hybrid Architecture for Human Activity Recognition from RGB-D Videos, A
* 2019: Toyota Smarthome: Real-World Activities of Daily Living
* 2019: Weakly Supervised learning technique for classifying facial expressions, A
* 2019: Where to Focus on for Human Action Recognition?
* 2020: Apathy Classification by Exploiting Task Relatedness
* 2020: G3AN: Disentangling Appearance and Motion for Video Generation
* 2020: ImaGINator: Conditional Spatio-Temporal GAN for Video Generation
* 2020: Learning Discriminative and Generalizable Representations by Spatial-Channel Partition for Person Re-Identification
* 2020: Looking deeper into Time for Activities of Daily Living Recognition
* 2020: One-and-Half Stage Pedestrian Detector, A
* 2020: Semi-supervised Emotion Recognition using Inconsistently Annotated Data
* 2020: Vpn: Learning Video-Pose Embedding for Activities of Daily Living
* 2021: Emotion Editing in Head Reenactment Videos using Latent Space Manipulation
* 2021: Enhancing Diversity in Teacher-Student Networks via Asymmetric branches for Unsupervised Person Re-identification
* 2021: Expression recognition with deep features extracted from holistic and part-based models
* 2021: How Unique Is a Face: An Investigative Study
* 2021: ICE: Inter-Instance Contrastive Encoding for Unsupervised Person Re-identification
* 2021: Joint Generative and Contrastive Learning for Unsupervised Person Re-identification
* 2021: Learning an Augmented RGB Representation with Cross-Modal Knowledge Distillation for Action Detection
* 2021: PDAN: Pyramid Dilated Attention Network for Action Detection
* 2021: Selective Spatio-Temporal Aggregation Based Pose Refinement System: Towards Understanding Human Activities in Real-World Videos
* 2021: Self-Supervised Video Pose Representation Learning for Occlusion- Robust Action Recognition
* 2021: Weakly-supervised Joint Anomaly Detection and Classification
* 2022: MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection
* 2022: Spatio-Temporal Approach for Apathy Classification, A
* 2022: THORN: Temporal Human-Object Relation Network for Action Recognition
* 2022: Transforming Temporal Embeddings to Keypoint Heatmaps for Detection of Tiny Vehicles in Wide Area Motion Imagery (WAMI) Sequences
* 2022: VPN++: Rethinking Video-Pose Embeddings for Understanding Activities of Daily Living
* 2023: LAC: Latent Action Composition for Skeleton-based Action Segmentation
* 2023: Learning Invariance From Generated Variance for Unsupervised Person Re-Identification
* 2023: Multimodal Vision Transformers with Forced Attention for Behavior Analysis
* 2023: Toyota Smarthome Untrimmed: Real-World Untrimmed Videos for Activity Detection
* 2024: Human-Scene Network: A novel baseline with self-rectifying loss for weakly supervised video anomaly detection
Includes: Bremond, F.[Francois] Brémond, F.[François] Brémond, F.[Francois] Bremond, F. Brémond, F. Bremond, F.[François]
144 for Bremond, F.

Bremond, R.[Roland] * 2009: Free Space Detection for Autonomous Navigation in Daytime Foggy Weather
* 2010: Estimating Meteorological Visibility Using Cameras: A Probabilistic Model-Driven Approach
* 2011: unified CSF-based framework for edge detection and edge visibility, A
* 2014: Enhanced fog detection and free-space segmentation for car navigation
* 2015: Quantitative model of the driver's reaction time during daytime fog: Application to a head up display-based advanced driver assistance system
* 2021: Single Image Atmospheric Veil Removal Using New Priors
Includes: Bremond, R.[Roland] Brémond, R.[Roland] Bremond, R.

Bremont, J. * 1994: Monocular depth perception by evaluation of the blur in defocused images
* 1996: Visual Depth Perception Based on Optical Blur

Brempong, E.A.[Emmanuel Asiedu] * 2022: Denoising Pretraining for Semantic Segmentation

Index for "b"

Last update:18-Apr-24 12:24:39
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