Phung, D.[Dinh]
* 2012: nonparametric Bayesian Poisson gamma model for count data, A
* 2014: Regularizing Topic Discovery in EMRs with Side Information by Using Hierarchical Bayesian Models
* 2016: Clustering for point pattern data
* 2016: Distributed data augmented support vector machine on Spark
* 2016: Faster training of very deep networks via p-norm gates
* 2016: MCNC: Multi-Channel Nonparametric Clustering from heterogeneous data
* 2016: Model-Based Classification and Novelty Detection for Point Pattern Data
* 2016: Stable clinical prediction using graph support vector machines
* 2016: Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model
* 2018: Bayesian Multi-Hyperplane Machine for Pattern Recognition
* 2018: Model-based learning for point pattern data
* 2020: Improving Adversarial Robustness by Enforcing Local and Global Compactness
* 2021: Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability
* 2021: STEM: An approach to Multi-source Domain Adaptation with Guarantees
* 2022: Bridging Global Context Interactions for High-Fidelity Image Completion
* 2023: Adversarial local distribution regularization for knowledge distillation
* 2024: Bridging Global Context Interactions for High-Fidelity Pluralistic Image Completion
* 2024: Class Enhancement Losses With Pseudo Labels for Open-Vocabulary Semantic Segmentation
* 2024: Frequency Attention for Knowledge Distillation
* 2024: Metaaug: Meta-Data Augmentation for Post-training Quantization
* 2024: NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation
* 2024: Taming Stable Diffusion for Text to 360° Panorama Image Generation
* 2024: Text-Enhanced Data-Free Approach for Federated Class-Incremental Learning
* 2025: Enhancing Dataset Distillation via Non-Critical Region Refinement
* 2025: HVQ-VAE: Variational auto-encoder with hyperbolic vector quantization
* 2025: PanSplat: 4K Panorama Synthesis with Feed-Forward Gaussian Splatting
* 2025: Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation
Includes: Phung, D.[Dinh] Phung, D.
27 for Phung, D.
Phung, D.Q.[Dinh Quoc]
* 2002: Narrative structure analysis with education and training videos for e-learning
* 2004: Automatically learning structural units in educational videos with the hierarchical hidden markov models
* 2005: Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model
* 2005: Learning and Detecting Activities from Movement Trajectories Using the Hierarchical Hidden Markov Models
* 2006: AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition
* 2006: Human Behavior Recognition with Generic Exponential Family Duration Modeling in the Hidden Semi-Markov Model
* 2006: probabilistic model with parsinomious representation for sensor fusion in recognizing activity in pervasive environment, A
* 2008: You Tube and I Find Personalizing Multimedia Content Access
* 2009: Efficient duration and hierarchical modeling for human activity recognition
* 2012: Improved subspace clustering via exploitation of spatial constraints
* 2012: Multi-modal abnormality detection in video with unknown data segmentation
* 2013: Connectivity, Online Social Capital, and Mood: A Bayesian Nonparametric Analysis
* 2014: Affective and Content Analysis of Online Depression Communities
* 2014: Bayesian Nonparametric Framework for Activity Recognition Using Accelerometer Data, A
* 2014: Nonparametric Discovery of Learning Patterns and Autism Subgroups from Therapeutic Data
* 2015: Autism Blogs: Expressed Emotion, Language Styles and Concerns in Personal and Community Settings
* 2015: Mixed-norm sparse representation for multi view face recognition
* 2015: Multi-View Subspace Clustering for Face Images
* 2015: Visual Object Clustering via Mixed-Norm Regularization
* 2016: Nonparametric discovery of movement patterns from accelerometer signals
Includes: Phung, D.Q.[Dinh Quoc] Phung, D.Q. Phung, D.Q.[Dinh Q.]
20 for Phung, D.Q.
Phung, E.[Edmund]
* 2018: Hybrid eye center localization using cascaded regression and hand-crafted model fitting
* 2018: Real-Time Deep Hair Matting on Mobile Devices
* 2021: Deep Graphics Encoder for Real-Time Video Makeup Synthesis from Example
Includes: Phung, E.[Edmund] Phung, E.
Phung, H.[Hao]
* 2023: Anti-DreamBooth: Protecting users from personalized text-to-image synthesis
* 2023: Wavelet Diffusion Models are fast and scalable Image Generators
Phung, M.D.
* 2020: Summit Navigator: A Novel Approach for Local Maxima Extraction
Phung, Q.[Quynh]
* 2021: Explore Image Deblurring via Encoded Blur Kernel Space
* 2021: Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images
* 2024: Grounded Text-to-Image Synthesis with Attention Refocusing
Phung, S.L.[Son Lam]
* 2002: novel skin color model in YCBCR color space and its application to human face detection, A
* 2004: Naive bayes face/nonface classifier: a study of preprocessing and feature extraction techniques
* 2005: Skin Segmentation Using Color Pixel Classification: Analysis and Comparison
* 2007: Automatic Image Annotation for Semantic Image Retrieval
* 2008: supervised learning approach for imbalanced data sets, A
* 2009: New Approach to Sparse Image Representation Using MMV and K-SVD, A
* 2009: Vehicle Tracking Using Projective Particle Filter
* 2010: Adaptive regularization for image restoration using a variational inequality approach
* 2010: Automatic Recognition of Smiling and Neutral Facial Expressions
* 2010: Compressive Sensing Approach to Image Restoration, A
* 2010: Fast digital optical flow estimation based on EMD
* 2010: Feature selection for facial expression recognition
* 2010: Improved Facial Expression Recognition with Trainable 2-D Filters and Support Vector Machines
* 2010: Markov random fields for abnormal behavior detection on highways
* 2010: Motion Estimation with Adaptive Regularization and Neighborhood Dependent Constraint
* 2010: Wavelet based nonlocal-means super-resolution for video sequences
* 2011: Adaptive regularization for multiple image restoration using an extended Total Variations approach
* 2011: Automatic Classification of Ground-Penetrating-Radar Signals for Railway-Ballast Assessment
* 2011: Integrating the Projective Transform with Particle Filtering for Visual Tracking
* 2011: Optical flow estimation using sparse gradient representation
* 2011: Pedestrian sensing using time-of-flight range camera
* 2012: Adaptive Autoregressive Logarithmic Search for 3D Human Tracking
* 2012: Pedestrian lane detection for assistive navigation of blind people
* 2012: Pedestrian Lane Detection for the Visually Impaired
* 2013: Depth image super-resolution using multi-dictionary sparse representation
* 2013: Probabilistic Fuzzy Image Fusion Approach for Radar Through Wall Sensing
* 2014: Affine-invariant scene categorization
* 2014: Crowd Behavior Recognition Using Dense Trajectories
* 2014: Lane Detection in Unstructured Environments for Autonomous Navigation Systems
* 2014: Object segmentation and classification using 3-D range camera
* 2014: Pedestrian Lane Detection in Unstructured Environments for Assistive Navigation
* 2015: Invariant image recognition under projective deformations: An image normalization approach
* 2015: Video Classification Based on Spatial Gradient and Optical Flow Descriptors
* 2015: Violent Scene Detection Using a Super Descriptor Tensor Decomposition
* 2016: Efficient Vanishing Point Estimation for Unstructured Road Scenes
* 2016: Pedestrian lane detection in unstructured scenes for assistive navigation
* 2017: Breast cancer diagnosis in DCE-MRI using mixture ensemble of convolutional neural networks
* 2017: efficient local method for stereo matching using daisy features, An
* 2018: Human Gait Recognition with Micro-Doppler Radar and Deep Autoencoder
* 2018: Multipolarization Through-Wall Radar Imaging Using Low-Rank and Jointly-Sparse Representations
* 2018: Pooling-Based Feature Extraction and Coarse-to-fine Patch Matching for Optical Flow Estimation
* 2019: Super Descriptor Tensor Decomposition for Dynamic Scene Recognition, A
* 2020: Compressive Radar Imaging of Stationary Indoor Targets With Low-Rank Plus Jointly Sparse and Total Variation Regularizations
* 2020: Infer the Input to the Generator of Auxiliary Classifier Generative Adversarial Networks
* 2021: BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation
* 2021: Ordinal Depth Classification Using Region-based Self-attention
* 2021: Real-time Pedestrian Lane Detection for Assistive Navigation using Neural Architecture Search
* 2021: Variational Bayesian Compressive Multipolarization Indoor Radar Imaging
* 2022: Bayesian Gabor Network With Uncertainty Estimation for Pedestrian Lane Detection in Assistive Navigation
* 2022: Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation
* 2022: DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition
* 2023: TP-YOLO: A Lightweight Attention-Based Architecture for Tiny Pest Detection
* 2024: AdaptorNAS: A New Perturbation-Based Neural Architecture Search for Hyperspectral Image Segmentation
* 2024: Multi-camera multi-object tracking on the move via single-stage global association approach
* 2024: UOW-Vessel: A Benchmark Dataset of High-Resolution Optical Satellite Images for Vessel Detection and Segmentation
* 2026: CSN: A compact semantic segmentation network for visual scene perception in assistive navigation
Includes: Phung, S.L.[Son Lam] Phung, S.L.[Son L.] Phung, S.L.
56 for Phung, S.L.
Phung, T.[Thao]
* 2023: Now Look Here! ? Mixed Reality Improves Robot Communication Without Cognitive Overload
Phung, T.H.[Thanh Hai]
* 2024: Revealing Hidden Context in Camouflage Instance Segmentation
Includes: Phung, T.H.[Thanh Hai] Phung, T.H.[Thanh-Hai]
Phung, T.L.[Thuy L.]
* 2023: Automated differentiation of skin melanocytes from keratinocytes in high-resolution histopathology images using a weakly-supervised deep-learning framework
Phung, T.T.T.[Trang T. T.]
* 2024: LCSL: Long-Tailed Classification via Self-Labeling