Yap, B.P.[Boon Peng]
* 2023: Cut-Paste Consistency Learning for Semi-Supervised Lesion Segmentation
* 2024: Group-wise Contrastive Bottleneck for Weakly-Supervised Visual Representation Learning
Yap, C.H.[Chin Hong]
* 2015: Towards Auto-Extracting Car Park Structures: Image Processing Approach on Low Powered Devices
* 2020: SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions Dataset
Includes: Yap, C.H.[Chin Hong] Yap, C.H.
Yap, C.K.
* 1985: Minimum Area Circumscribing Polygons
* 1985: Parallel Median Algorithm, A
* 1987: Shape from Probing
* 2008: Identification of Cell Nucleus Using a Mumford-Shah Ellipse Detector
Includes: Yap, C.K. Yap, C.K.[Choon Kong]
Yap, C.W.
* 1999: combined source-channel video coding scheme for mobile channels, A
* 2001: Error resilient transmission of SPIHT coded images over fading channels
Yap, D.[Deep]
* 2021: Answer-checking in Context: A Multi-modal Fully Attention Network for Visual Question Answering
Yap, D.W.H.[Dennis Wen Hsiang]
* 2004: Detecting femur fractures by texture analysis of trabeculae
Includes: Yap, D.W.H.[Dennis Wen Hsiang] Yap, D.W.H.[Dennis Wen-Hsiang]
Yap, E.[Ernest]
* 2010: Airborne geospatial technology for rapid, mapping-grade orthorectified imagery
Yap, F.B.
* 2011: Segmentation of Acne Vulgaris Lesions
Yap, J.[Jordan]
* 2015: Multi-Task Transfer Methods to Improve One-Shot Learning for Multimedia Event Detection
* 2021: Can self-training identify suspicious ugly duckling lesions?
Yap, J.T.
* 1997: Image-Reconstruction for Dynamic PET Based on Low-Order Approximation and Restoration of the Sinogram
Yap, K.[Kim]
* 1999: Image Restoration Based on Hierarchical Cluster Model with Evolutionary Optimization
* 2016: Contrast Invariant Interest Point Detection by Zero-Norm LoG Filter
* 2020: Multi-Path Region Mining for Weakly Supervised 3D Semantic Segmentation on Point Clouds
* 2020: What Does Plate Glass Reveal About Camera Calibration?
Includes: Yap, K.[Kim] Yap, K.
Yap, K.H.
* 2000: Recursive Soft-decision Psf and Neural Network Approach to Adaptive Blind Image Regularization, A
* 2004: noisy chaotic neural network approach to image denoising, A
* 2005: Color Filter Array Demosaicking Using Wavelet-Based Subband Synthesis
* 2005: Regularized Interpolation Using Kronecker Product for Still Images
* 2005: Soft Double Regularization Approach to Parametric Blind Image Deconvolution, A
* 2005: soft relevance framework in content-based image retrieval systems, A
* 2006: Blind Super-Resolution Image Reconstruction using a Maximum a Posteriori Estimation
* 2007: Nonlinear Least Square Technique for Simultaneous Image Registration and Super-Resolution, A
* 2007: Two-Dimensional Channel Coding Scheme for MCTF-Based Scalable Video Coding
* 2008: Effective Technique for Subpixel Image Registration Under Noisy Conditions, An
* 2008: Joint Source-Channel Video Coding Scheme Based on Distributed Source Coding, A
* 2008: Novel Hybrid Model Framework to Blind Color Image Deconvolution, A
* 2008: Subband Synthesis for Color Filter Array Demosaicking
* 2009: Adaptive Image Processing: A Computational Intelligence Perspective
* 2009: Learning-Based Image Ground Segmentation Using Multiple Cues
* 2009: Nonlinear L_1-Norm Approach for Joint Image Registration and Super-Resolution, A
* 2009: soft MAP framework for blind super-resolution image reconstruction, A
* 2010: Adaptive resynchronization approach for scalable video over wireless channel
* 2010: Bit allocation for scalable video coding of multiple video programs
* 2010: Comparative Study of Mobile-Based Landmark Recognition Techniques, A
* 2010: Joint Rate Allocation for Multiprogram Video Coding Using FGS
* 2011: discriminative learning technique for mobile landmark recognition, A
* 2011: From universal bag-of-words to adaptive bag-of-phrases for mobile scene recognition
* 2011: Fuzzy Clustering Algorithm for Virtual Character Animation Representation, A
* 2011: Integrated Content and Context Analysis for Mobile Landmark Recognition
* 2011: new blind robust image watermarking scheme in SVD-DCT composite domain, A
* 2012: Content and Context Boosting for Mobile Landmark Recognition
* 2013: Context-Aware Discriminative Vocabulary Learning for Mobile Landmark Recognition
* 2013: Context-aware mobile image annotation for media search and sharing
* 2013: efficient approach for scene categorization based on discriminative codebook learning in bag-of-words framework, An
* 2013: Joint Image Registration and Super-Resolution From Low-Resolution Images With Zooming Motion
* 2014: Discriminative BoW Framework for Mobile Landmark Recognition
* 2014: Discriminative Soft Bag-of-Visual Phrase for Mobile Landmark Recognition
* 2015: Bijective Weighted Kernel with Connected Component Analysis for Visual Object Search
* 2017: Feature Repetitiveness Similarity Metrics in Visual Search
* 2017: Integrated 3D feature augmentation and view selection in commercial product search
* 2017: Lattice-Support repetitive local feature detection for visual search
* 2018: Tiered Deep Similarity Search for Fashion
* 2019: AANet: Attribute Attention Network for Person Re-Identifications
* 2020: Discovering Human Interactions With Novel Objects via Zero-Shot Learning
* 2020: Empirical Analysis Of Overfitting And Mode Drop In GAN Training
* 2020: Semantic granularity metric learning for visual search
* 2021: APNET: Attribute Parsing Network for Person Re-Identification
* 2021: Attribute saliency network for person re-identification
* 2021: Discovering Human Interactions with Large-Vocabulary Objects via Query and Multi-Scale Detection
* 2021: Fusion Learning using Semantics and Graph Convolutional Network for Visual Food Recognition
* 2022: Attribute Conditioned Fashion Image Captioning
* 2022: Learning Transferable Human-Object Interaction Detector with Natural Language Supervision
* 2022: Mixed Membership Generative Adversarial Networks
* 2023: Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration
* 2023: Interactive Change-Aware Transformer Network for Remote Sensing Image Change Captioning
* 2023: Nonlocal Low-Rank Residual Modeling for Image Compressive Sensing Reconstruction
* 2023: TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision
Includes: Yap, K.H. Yap, K.H.[Kim-Hui] Yap, K.H.[Kim Hui]
53 for Yap, K.H.
Yap, K.M.[Kian Meng]
* 2017: Exploratory Research on Application of Different Vision System on Warehouse Robot Using Selective Algorithm
* 2017: Simulation Study of Micro-Drone Chemical Plume Tracking Performance in Tree Farm Environments, A
* 2023: Novel Annotation and Metrics for Mangrove Species Classification Using Bounding Box Object Detection
Yap, M.
* 2018: Facial Micro-Expressions Grand Challenge 2018: Evaluating Spatio-Temporal Features for Classification of Objective Classes
Yap, M.H.[Moi Hoon]
* 2006: Object Boundary Detection in Ultrasound Images
* 2013: database for facial behavioural analysis, A
* 2014: Automatic Wrinkle Detection Using Hybrid Hessian Filter
* 2014: Exemplar-Based Human Action Recognition with Template Matching from a Stream of Motion Capture
* 2014: Micro-Facial Movements: An Investigation on Spatio-Temporal Descriptors
* 2017: Component Biologically Inspired Features with Moving Segmentation for Age Estimation
* 2017: Deep convolutional neural networks for motion instability identification using kinect
* 2017: Facial Skin Classification Using Convolutional Neural Networks
* 2017: Multi-layer age regression for face age estimation
* 2017: Online Tool for the Annotation of 3D Models, An
* 2018: Automated Facial Wrinkles Annotator
* 2018: Facial Micro-Expressions Grand Challenge 2018 Summary
* 2018: Hybrid Ageing Patterns for face age estimation
* 2018: Objective Micro-Facial Movement Detection Using FACS-Based Regions and Baseline Evaluation
* 2018: SAMM: A Spontaneous Micro-Facial Movement Dataset
* 2019: Face Recognition with Disentangled Facial Representation Learning and Data Augmentation
* 2020: Adaptive Mask for Region-based Facial Micro-Expression Recognition
* 2020: Comprehensive Study on Loss Functions for Cross-Factor Face Recognition, A
* 2020: MEGC2020 - The Third Facial Micro-Expression Grand Challenge
* 2020: SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions Dataset
* 2020: Spotting Macro-and Micro-expression Intervals in Long Video Sequences
* 2021: comprehensive review of past and present image inpainting methods, A
* 2021: Foreground-Guided Facial Inpainting with Fidelity Preservation
* 2021: R-MNet: A Perceptual Adversarial Network for Image Inpainting
* 2022: Dark Corner on Skin Lesion Image Dataset: Does it matter?
* 2022: Skin_hair Dataset: Setting the Benchmark for Effective Hair Inpainting Methods for Improving the Image Quality of Dermoscopic Images
* 2023: AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images
* 2023: Editorial for pattern recognition letters special issue on face-based emotion understanding
* 2023: Why is the Winner the Best?
Includes: Yap, M.H.[Moi Hoon] Yap, M.H. Yap, M.H.[M. Hoon]
29 for Yap, M.H.
Yap, P.
* 2018: Multi-Atlas Segmentation of MR Tumor Brain Images Using Low-Rank Based Image Recovery
* 2019: Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space
* 2019: Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks
* 2019: Longitudinally Guided Super-Resolution of Neonatal Brain Magnetic Resonance Images
* 2019: Multi-Site Harmonization of Diffusion MRI Data via Method of Moments
* 2019: New Multi-Atlas Registration Framework for Multimodal Pathological Images Using Conventional Monomodal Normal Atlases, A
* 2020: Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation
* 2020: Multi-Atlas Brain Parcellation Using Squeeze-and-Excitation Fully Convolutional Networks
* 2020: One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures
* 2020: Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks
10 for Yap, P.
Yap, P.T.[Pew Thian]
* 2003: Image analysis by Krawtchouk moments
* 2004: Image focus measure based on Chebyshev moments
* 2005: Efficient Method for the Computation of Legendre Moments, An
* 2006: Content-based image retrieval using Legendre chromaticity distribution moments
* 2007: Eigenmoments
* 2007: Image Analysis Using Hahn Moments
* 2008: Boosted complex moments for discriminant rotation invariant object recognition
* 2009: Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil
* 2009: Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters
* 2009: TIMER: Tensor Image Morphing for Elastic Registration
* 2010: F-TIMER: Fast Tensor Image Morphing for Elastic Registration
* 2010: Two-Dimensional Polar Harmonic Transforms for Invariant Image Representation
* 2011: Hierarchical anatomical brain networks for MCI prediction by partial least square analysis
* 2011: PopTract: Population-Based Tractography
* 2012: DWI Denoising Using Spatial, Angular, and Radiometric Filtering
* 2012: General Fast Registration Framework by Learning Deformation-Appearance Correlation, A
* 2012: Group Sparsity Constrained Automatic Brain Label Propagation
* 2012: Groupwise Segmentation Improves Neuroimaging Classification Accuracy
* 2012: Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer's Disease
* 2012: Hierarchical Patch-Based Sparse Representation: A New Approach for Resolution Enhancement of 4D-CT Lung Data
* 2012: Invariant representation of orientation fields for fingerprint indexing
* 2012: Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation
* 2012: Spatial Transformation of DWI Data Using Non-Negative Sparse Representation
* 2014: Uncertainty Estimation in Diffusion MRI Using the Nonlocal Bootstrap
* 2015: Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentation
* 2015: Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes
* 2015: LRTV: MR Image Super-Resolution With Low-Rank and Total Variation Regularizations
* 2016: Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains
* 2016: Learning-Based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling
* 2016: Multi-Tissue Decomposition of Diffusion MRI Signals via L_0 Sparse-Group Estimation
* 2018: Single- and Multiple-Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes
* 2020: Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners
* 2020: Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With Limited and Noisy Annotations
* 2020: Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging
* 2021: Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation
* 2021: Fast and Accurate Craniomaxillofacial Landmark Detection via 3D Faster R-CNN
* 2021: Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity, A
* 2022: cascaded nested network for 3T brain MR image segmentation guided by 7T labeling, A
* 2022: Dual Adversarial Attention Mechanism for Unsupervised Domain Adaptive Medical Image Segmentation
* 2022: Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning
* 2022: Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images
* 2023: Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior, The
* 2023: Guest Editorial Special Issue on Geometric Deep Learning in Medical Imaging
* 2023: High-Resolution 3D Magnetic Resonance Fingerprinting With a Graph Convolutional Network
* 2023: Improved polar complex exponential transform for robust local image description
* 2023: Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning
* 2023: Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network
* 2023: Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning
* 2024: Federated learning for medical image analysis: A survey
* 2024: Improving image segmentation with contextual and structural similarity
Includes: Yap, P.T.[Pew Thian] Yap, P.T.[Pew-Thian] Yap, P.T.
50 for Yap, P.T.
Yap, R.H.C.[Roland H. C.]
* 2009: Usability Study of Continuous Biometrics Authentication, An
Yap, S.Y.[Sin Yee]
* 2022: Graph Autoencoder-Based Embedded Learning in Dynamic Brain Networks for Autism Spectrum Disorder Identification
Includes: Yap, S.Y.[Sin Yee] Yap, S.Y.[Sin-Yee]
Yap, T.T.V.[Timothy Tzen Vun]
* 2013: MMU GASPFA: A COTS multimodal biometric database
Includes: Yap, T.T.V.[Timothy Tzen Vun] Yap, T.T.V.[Timothy Tzen-Vun]
Yap, W.L.[Weng Lee]
* 2001: Handwritten country name identification using vector quantisation and hidden Markov model
Yap, W.S.[Wun She]
* 2016: On the effective subkey space of some image encryption algorithms using external key
* 2017: Cancellable iris template generation based on Indexing-First-One hashing
* 2018: Cancellable speech template via random binary orthogonal matrices projection hashing
* 2022: contrast enhancement framework under uncontrolled environments based on just noticeable difference, A
Includes: Yap, W.S.[Wun She] Yap, W.S.[Wun-She]
Yap, X.
* 2011: Touch Interface Exploiting Time-Frequency Classification Using Zak Transform for Source Localization on Solids, A