See To, E.W.K.[Eric W.K.]
* 2024: Incremental feature selection for dynamic incomplete data using sub-tolerance relations
Includes: See To, E.W.K.[Eric W.K.] See-To, E.W.K.[Eric W.K.]
See, C.
* 2001: Fast Subpixel Digital Image Correlation Using Artificial Neural Networks
See, E.
* 2017: Smoothing Splines on Unit Ball Domains with Application to Corneal Topography
See, J.[John]
* 2011: Exemplar extraction using spatio-temporal hierarchical agglomerative clustering for face recognition in video
* 2011: Learning Neighborhood Discriminative Manifolds for Video-Based Face Recognition
* 2013: Fusing cluster-centric feature similarities for face recognition in video sequences
* 2014: LBP with Six Intersection Points: Reducing Redundant Information in LBP-TOP for Micro-expression Recognition
* 2014: Spontaneous Subtle Expression Recognition: Imbalanced Databases and Solutions
* 2014: Subtle Expression Recognition Using Optical Strain Weighted Features
* 2015: On the Effects of Low Video Quality in Human Action Recognition
* 2016: Aesthetic Evaluation of Facial Portraits Using Compositional Augmentation for Deep CNNs
* 2016: Automatic Micro-expression Recognition from Long Video Using a Single Spotted Apex
* 2016: Deep or Shallow Facial Descriptors? A Case for Facial Attribute Classification and Face Retrieval
* 2016: Spontaneous subtle expression detection and recognition based on facial strain
* 2017: Filling the gaps: Reducing the complexity of networks for multi-attribute image aesthetic prediction
* 2017: Multigap: Multi-pooled inception network with text augmentation for aesthetic prediction of photographs
* 2017: Sparsity in Dynamics of Spontaneous Subtle Emotions: Analysis and Application
* 2018: Enriched Long-Term Recurrent Convolutional Network for Facial Micro-Expression Recognition
* 2018: Facial Micro-Expressions Grand Challenge 2018 Summary
* 2018: Less is more: Micro-expression recognition from video using apex frame
* 2018: Micro-Expression Motion Magnification: Global Lagrangian vs. Local Eulerian Approaches
* 2018: Towards Demographic-Based Photographic Aesthetics Prediction for Portraitures
* 2018: Vehicle Semantics Extraction and Retrieval for Long-Term Carpark Video Surveillance
* 2019: Dual-stream Shallow Networks for Facial Micro-expression Recognition
* 2019: Towards Accurate One-Stage Object Detection With AP-Loss
* 2020: CFAD: Coarse-to-fine Action Detector for Spatiotemporal Action Localization
* 2020: Image Dehazing With Contextualized Attentive U-NET
* 2020: Key-Point Sequence Lossless Compression for Intelligent Video Analysis
* 2020: Learning Image Aesthetics by Learning Inpainting
* 2020: MEGC2020 - The Third Facial Micro-Expression Grand Challenge
* 2020: Partition-Aware Adaptive Switching Neural Networks for Post-Processing in HEVC
* 2020: Piou Loss: Towards Accurate Oriented Object Detection in Complex Environments
* 2020: TPM: Multiple object tracking with tracklet-plane matching
* 2020: Where Is The Emotion? Dissecting A Multi-Gap Network For Image Emotion Classification
* 2021: AP-Loss for Accurate One-Stage Object Detection
* 2021: Dress With Style: Learning Style From Joint Deep Embedding of Clothing Styles and Body Shapes
* 2021: Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization
* 2021: Generating Aesthetic Based Critique for Photographs
* 2021: Group Reidentification with Multigrained Matching and Integration
* 2021: Pic2PolyArt: Transforming a photograph into polygon-based geometric art
* 2021: Shallow Optical Flow Three-Stream CNN for Macro- and Micro-Expression Spotting from Long Videos
* 2021: Variational Pedestrian Detection
* 2022: Exploring the Semi-Supervised Video Object Segmentation Problem from a Cyclic Perspective
* 2022: Learning Scale-Consistent Attention Part Network for Fine-Grained Image Recognition
* 2022: Speed up Object Detection on Gigapixel-level Images with Patch Arrangement
* 2023: Context-Aware Multi-Stream Networks for Dimensional Emotion Prediction in Images
* 2023: Doing More With Moiré Pattern Detection in Digital Photos
* 2023: Editorial for pattern recognition letters special issue on face-based emotion understanding
* 2023: ERNet: An Efficient and Reliable Human-Object Interaction Detection Network
* 2023: FatigueView: A Multi-Camera Video Dataset for Vision-Based Drowsiness Detection
* 2023: Spot-then-Recognize: A Micro-Expression Analysis Network for Seamless Evaluation of Long Videos
* 2023: What Modality Matters? Exploiting Highly Relevant Features for Video Advertisement Insertion
* 2024: Skeleton Ground Truth Extraction: Methodology, Annotation Tool and Benchmarks
Includes: See, J.[John] See, J.
50 for See, J.
See, K.Y.
* 2019: Analysis and Design of Coil-Based Electromagnetic-Induced Thermoacoustic for Rail Internal-Flaw Inspection
See, L.
* 2012: Spatial Multi-Criteria Model for the Evaluation of Land Redistribution Plans, A
* 2013: Harmonizing and Combining Existing Land Cover/Land Use Datasets for Cropland Area Monitoring at the African Continental Scale
* 2013: Rise of Collaborative Mapping: Trends and Future Directions, The
* 2015: Building a hybrid land cover map with crowdsourcing and geographically weighted regression
* 2015: Mapping Local Climate Zones for a Worldwide Database of the Form and Function of Cities
* 2015: Spatial Analysis as a Transformative Technology for Decision-Making in Environmental Domains
* 2016: Combined Satellite-Derived Drought Indicator to Support Humanitarian Aid Organizations, A
* 2016: Comparison of Data Fusion Methods Using Crowdsourced Data in Creating a Hybrid Forest Cover Map
* 2016: Crowdsourcing In-Situ Data on Land Cover and Land Use Using Gamification and Mobile Technology
* 2016: Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information
* 2016: Geographically weighted evidence combination approaches for combining discordant and inconsistent volunteered geographical information
* 2016: Investigating the Feasibility of Geo-Tagged Photographs as Sources of Land Cover Input Data
* 2016: Local Knowledge and Professional Background Have a Minimal Impact on Volunteer Citizen Science Performance in a Land-Cover Classification Task
* 2016: Towards an Integrated Global Land Cover Monitoring and Mapping System
* 2016: Towards Consistent Mapping Of Urban Structures: Global Human Settlement Layer And Local Climate Zones
* 2017: Assessing and Improving the Reliability of Volunteered Land Cover Reference Data
* 2017: Generating Up-to-Date and Detailed Land Use and Land Cover Maps Using OpenStreetMap and GlobeLand30
* 2017: Highlighting Current Trends in Volunteered Geographic Information
* 2017: LACO-Wiki: A New Online Land Cover Validation Tool Demonstrated Using GlobeLand30 for Kenya
* 2017: Role of Citizen Science in Earth Observation, The
* 2017: Validation of Automatically Generated Global and Regional Cropland Data Sets: The Case of Tanzania
* 2018: Exploration of Some Pitfalls of Thematic Map Assessment Using the New Map Tools Resource, An
* 2018: Increasing the Accuracy of Crowdsourced Information on Land Cover via a Voting Procedure Weighted by Information Inferred from the Contributed Data
* 2018: Integrated Participatory and Collaborative Risk Mapping for Enhancing Disaster Resilience
* 2019: Preliminary Quality Analysis of The Climate Change Initiative Land Cover Products for Continental Portugal, A
* 2020: Tracking Rates of Forest Disturbance and Associated Carbon Loss in Areas of Illegal Amber Mining in Ukraine Using Landsat Time Series
* 2020: Use of Automated Change Detection and VGI Sources for Identifying and Validating Urban Land Use Change
* 2023: Crowd-Driven Deep Learning Tracks Amazon Deforestation
Includes: See, L. See, L.[Linda]
28 for See, L.
See, P.[Peter]
* 2006: Scanning system and calibration method for capturing precise three-dimensional information of objects
See, S.[Simon]
* 2016: Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks
* 2017: GPU Based fast MPEG-CDVS encoder
* 2018: Fast MPEG-CDVS Encoder With GPU-CPU Hybrid Computing
* 2018: Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
* 2021: Effective action recognition with embedded key point shifts
* 2022: Unified Recurrence Modeling for Video Action Anticipation
* 2023: Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation
* 2023: Continual Semantic Segmentation with Automatic Memory Sample Selection
* 2023: CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields
* 2023: FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation
* 2023: Learning Gabor Texture Features for Fine-Grained Recognition
* 2023: Simple Baseline for Video Restoration with Grouped Spatial-Temporal Shift, A
* 2023: TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses
* 2023: VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation
Includes: See, S.[Simon] See, S.
14 for See, S.