Index for vu__

Vu, A. * 2012: Eco-Routing Navigation System Based on Multisource Historical and Real-Time Traffic Information
* 2012: Real-Time Computer Vision/DGPS-Aided Inertial Navigation System for Lane-Level Vehicle Navigation
* 2022: Weakly-Supervised Convolutional Neural Networks for Vessel Segmentation in Cerebral Angiography
Includes: Vu, A. Vu, A.[Anh] Vu, A.[Andrew]

Vu, A.K.N.[Anh Khoa Nguyen] * 2022: Few-shot object detection via baby learning
* 2023: Instance-Level Few-Shot Learning With Class Hierarchy Mining
Includes: Vu, A.K.N.[Anh Khoa Nguyen] Vu, A.K.N.[Anh-Khoa Nguyen]

Vu, A.S. * 1999: computer vision system for automatic knowledge-based configuration of the image processing and hierarchical object recognition, A

Vu, B.C. * 2014: forward-backward view of some primal-dual optimization methods in image recovery, A

Vu, B.L.[Briac Le] * 2024: Ocean Satellite Data Fusion for High-Resolution Surface Current Maps

Vu, B.N.[Bryan N.] * 2019: Developing an Advanced PM2.5 Exposure Model in Lima, Peru

Vu, C.[Cuong] * 2008: Can visual fixation patterns improve image fidelity assessment?

Vu, C.T. * 2008: Visual Fixation Patterns when Judging Image Quality: Effects of Distortion Type, Amount, and Subject Experience
* 2009: Main subject detection via adaptive feature selection
* 2011: spatiotemporal most-apparent-distortion model for video quality assessment, A
* 2012: algorithm for detecting multiple salient objects in images via adaptive feature selection, An
* 2012: On the quality assessment of enhanced images: A database, analysis, and strategies for augmenting existing methods
* 2012: S_3: A Spectral and Spatial Measure of Local Perceived Sharpness in Natural Images
Includes: Vu, C.T. Vu, C.T.[Cuong T.]

Vu, D.[Diem] * 2010: efficient fashion-driven learning approach to model user preferences in on-line shopping scenarios, An
* 2011: Ground Moving Target Indication via Multichannel Airborne SAR
* 2011: Kernelized structural SVM learning for supervised object segmentation
Includes: Vu, D.[Diem] Vu, D.[Duc]

Vu, D.Q.[Duc Quang] * 2022: 2+1)D Distilled ShuffleNet: A Lightweight Unsupervised Distillation Network for Human Action Recognition
* 2023: Cyclic Transfer Learning for Mandarin-English Code-Switching Speech Recognition
Includes: Vu, D.Q.[Duc Quang] Vu, D.Q.[Duc-Quang]

Vu, D.T. * 2014: Efficient Hybrid Tree-Based Stereo Matching With Applications to Postcapture Image Refocusing
* 2020: Quasigeoid-Derived Transformation Model Accounting for Land Subsidence in the Mekong Delta towards Height System Unification in Vietnam, A
* 2024: High-Resolution Gravity Measurements on Board an Autonomous Underwater Vehicle: Data Reduction and Accuracy Assessment
Includes: Vu, D.T. Vu, D.T.[Dinh Toan]

Vu, H.[Hai] * 2006: Adaptive Control of Video Display for Diagnostic Assistance by Analysis of Capsule Endoscopic Images
* 2009: Controlling the Display of Capsule Endoscopy Video for Diagnostic Assistance
* 2009: Towards an Interpretation of Intestinal Motility Using Capsule Endoscopy Image Sequences
* 2010: Color Analysis for Segmenting Digestive Organs in VCE
* 2012: Automatic Improvement of Graph Based Image Segmentation
* 2013: vision-based method for automatizing tea shoots detection, A
* 2014: Segmenting Reddish Lesions in Capsule Endoscopy Images Using a Gastrointestinal Color Space
* 2014: Visual SLAM System on Mobile Robot Supporting Localization Services to Visually Impaired People, A
* 2014: Web-Based Education System for Reading Video Capsule Endoscopy, A
* 2016: Detection of Activities During Newborn Resuscitation Based on Short-Time Energy of Acceleration Signal
* 2016: Indoor assistance for visually impaired people using a RGB-D camera
* 2017: Adaptive cascade threshold learning from negative samples for deformable part models
* 2017: Dynamic hand gesture recognition from cyclical hand pattern
* 2017: Flexible 3D neighborhood cascade deformable part models for object detection
* 2017: Fully-automated person re-identification in multi-camera surveillance system with a robust kernel descriptor and effective shadow removal method
* 2018: Acquiring qualified samples for RANSAC using geometrical constraints
* 2019: GCSAC: geometrical constraint sample consensus for primitive shapes estimation in 3D point cloud
* 2019: Improving Ancient Cham Glyph Recognition from Cham Inscription Images Using Data Augmentation and Transfer Learning
* 2020: projective chirp based stair representation and detection from monocular images and its application for the visually impaired, A
* 2020: pyModeS: Decoding Mode-S Surveillance Data for Open Air Transportation Research
* 2022: robust and efficient method for skeleton-based human action recognition and its application for cross-dataset evaluation, A
* 2022: Unrolling Graph Total Variation for Light Field Image Denoising
Includes: Vu, H.[Hai] Vu, H.[Huyen] Vu, H. Vû, H. Vu, H.[Huy]
22 for Vu, H.

Vu, H.H.[Hoang Hiep] * 2009: Towards high-resolution large-scale multi-view stereo
* 2010: Hybrid multi-view reconstruction by Jump-Diffusion
* 2012: High Accuracy and Visibility-Consistent Dense Multiview Stereo
* 2013: Hybrid Multiview Stereo Algorithm for Modeling Urban Scenes, A
Includes: Vu, H.H.[Hoang Hiep] Vu, H.H.[Hoang-Hiep]

Vu, H.L. * 2011: Handoff Optimization Using Hidden Markov Model
* 2019: Guest Editorial Introduction to the Special Issue on Intelligent Transportation Systems Empowered by AI Technologies
* 2019: Hierarchical Control Framework for Coordination of Intersection Signal Timings in All Traffic Regimes, A
* 2022: Automated Detection Framework for Multiple Highway Bottleneck Activations, An
* 2022: Boosted Genetic Algorithm Using Machine Learning for Traffic Control Optimization
* 2022: Dynamic V2I/V2V Cooperative Scheme for Connectivity and Throughput Enhancement
* 2022: Modeling Autonomous Vehicles Deployment in a Multilane AV Zone With Mixed Traffic
* 2022: Scheduling and Power Control for Connectivity Enhancement in Multi-Hop I2V/V2V Networks
* 2022: System Optimal Speed Advisory Framework for a Network of Connected and Autonomous Vehicles, A
* 2023: Efficient and Private Scheduling of Wireless Electric Vehicles Charging Using Reinforcement Learning
* 2023: Joint Trajectory Planning and Signal Control Framework for a Network of Connected and Autonomous Vehicles, A
Includes: Vu, H.L. Vu, H.L.[Hai L.]
11 for Vu, H.L.

Vu, H.T.[Hung Thanh] * 2011: Fast face sequence matching in large-scale video databases
* 2013: Face Retrieval in Large-Scale News Video Datasets
* 2017: 3D-Brain Segmentation Using Deep Neural Network and Gaussian Mixture Model
* 2017: Comparison between Anatomy-Based and Data-Driven Tree Models for Human Pose Estimation, A
* 2017: deep learning network for vision-based vacant parking space detection system, A
* 2017: multi-task convolutional neural network with spatial transform for parking space detection, A
* 2017: Vacant Parking Space Detection Based on a Multilayer Inference Framework
* 2019: Parking Space Status Inference Upon a Deep CNN and Multi-Task Contrastive Network With Spatial Transform
Includes: Vu, H.T.[Hung Thanh] Vu, H.T.[Huy T.] Vu, H.T.
8 for Vu, H.T.

Vu, H.X. * 2012: Track-Before-Detect Using Histogram PMHT and Dynamic Programming

Vu, K.[Khanh] * 2002: FASU: A full automatic segmenting system for ultrasound images
* 2007: Image retrieval in multipoint queries
* 2007: in-memory relevance feedback technique for high-performance image retrieval systems, An
* 2008: Leveraging user query log: toward improving image data clustering

Vu, L.[Ly] * 2014: Full weighting Hough Forests for object detection
* 2018: Large Scale Application Response Time Measurement Using Image Recognition and Deep Learning
Includes: Vu, L.[Ly] Vu, L.[Lan]

Vu, L.G. * 2016: Face recognition template in photo indexing: A proposal of hybrid Principal Component Analysis and triangular approach (PCAaTA)

Vu, M.H. * 2020: Question-Centric Model for Visual Question Answering in Medical Imaging, A
* 2022: Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation, A
Includes: Vu, M.H. Vu, M.H.[Minh H.]

Vu, M.N.[Minh Nhat] * 2024: Real-time 6-DoF Pose Estimation by an Event-based Camera using Active LED Markers

Vu, M.Q.[Minh Quan] * 2022: Effective Temporal Localization Method with Multi-View 3D Action Recognition for Untrimmed Naturalistic Driving Videos, An
* 2023: Triplet Temporal-based Video Recognition with Multiview for Temporal Action Localization

Vu, M.T.[Manh Tu] * 2021: Multitask Multi-database Emotion Recognition
* 2023: Learning to focus on region-of-interests for pain intensity estimation

Vu, N.[Nhat] * 2007: Retina Layer Segmentation and Spatial Alignment of Antibody Expression Levels
* 2008: Graph cut segmentation of neuronal structures from transmission electron micrographs
* 2008: Shape prior segmentation of multiple objects with graph cuts
* 2018: Improving Chamfer Template Matching Using Image Segmentation
Includes: Vu, N.[Nhat] Vu, N.

Vu, N.S.[Ngoc Son] * 2009: Efficient statistical face recognition across pose using Local Binary Patterns and Gabor wavelets
* 2009: Illumination-robust face recognition using retina modeling
* 2010: Face Recognition with Patterns of Oriented Edge Magnitudes
* 2010: Patch-Based Similarity HMMs for Face Recognition with a Single Reference Image
* 2011: Newton optimization based Congealing for facial image alignment
* 2011: Online Three-Stage Method for Facial Point Localization, An
* 2012: Enhanced Patterns of Oriented Edge Magnitudes for Face Recognition and Image Matching
* 2012: Face recognition using the POEM descriptor
* 2012: How far we can improve micro features based face recognition systems?
* 2012: Lucas-Kanade based entropy congealing for joint face alignment
* 2012: Multiple patterns of gradient magnitudes for face recognition
* 2012: Using retina modelling to characterize blinking: comparison between EOG and video analysis
* 2013: Revisiting LBP-Based Texture Models for Human Action Recognition
* 2014: 3D Shape Classification Using Information Fusion
* 2014: Improving texture categorization with biologically-inspired filtering
* 2014: Photographic paper texture classification using model deviation of local visual descriptors
* 2016: integrated descriptor for texture classification, An
* 2016: Motion of Oriented Magnitudes Patterns for Human Action Recognition
* 2017: Handcrafted Normalized-Convolution Network for Texture Classification, A
* 2018: Action recognition based on motion of oriented magnitude patterns and feature selection
* 2019: Volumes of Blurred-Invariant Gaussians for Dynamic Texture Classification
* 2021: Toe Prints: An Application Study for Biometric Verification in Adults
* 2022: Anomaly Detection via Learnable Pretext Task
* 2022: Online Task-free Continual Learning with Dynamic Sparse Distributed Memory
* 2022: Semi-Supervised Anomaly Detection with Contrastive Regularization
* 2023: Detection Transformer with Diversified Object Queries
* 2023: Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks
* 2023: SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes
* 2023: Survey of 3D Ear Recognition Techniques, A
Includes: Vu, N.S.[Ngoc Son] Vu, N.S.[Ngoc-Son] Vu, N.S.
29 for Vu, N.S.

Vu, N.T.[Ngoc Tu] * 2023: Ensemble Spatial and Temporal Vision Transformer for Action Units Detection

Vu, P.L.[Phuong Lan] * 2018: Multi-Satellite Altimeter Validation along the French Atlantic Coast in the Southern Bay of Biscay from ERS-2 to SARAL
* 2019: Identifying 2010 Xynthia Storm Signature in GNSS-R-Based Tide Records
* 2021: Predicting Future Urban Flood Risk Using Land Change and Hydraulic Modeling in a River Watershed in the Central Province of Vietnam

Vu, P.V.[Phong V.] * 2011: spatiotemporal most-apparent-distortion model for video quality assessment, A
* 2012: Fast Wavelet-Based Algorithm for Global and Local Image Sharpness Estimation, A
Includes: Vu, P.V.[Phong V.] Vu, P.V.

Vu, Q.[Quoc] * 1996: Fast Warping Algorithm for Correcting Local Distortions in Binary Images, A

Vu, Q.D.[Quang Doanh] * 2015: Efficiency Maximization Design for SWIPT, An
* 2018: Micro and Macro Breast Histology Image Analysis by Partial Network Re-use
* 2020: Multi-Organ Nucleus Segmentation Challenge, A
* 2021: MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge
* 2022: Impash: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification
Includes: Vu, Q.D.[Quang Doanh] Vu, Q.D.[Quang-Doanh] Vu, Q.D.[Quoc Dang]

Vu, Q.H.[Quang Hien] * 2022: Mapping Multi-Decadal Mangrove Extent in the Northern Coast of Vietnam Using Landsat Time-Series Data on Google Earth Engine Platform

Vu, Q.M.[Quyet Manh] * 2019: Assessment of the Biomass Productivity Decline in the Lower Mekong Basin

Vu, T.[Thang] * 2018: Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks
* 2018: Finding your Lookalike: Measuring Face Similarity Rather than Face Identity
* 2018: Perception-Enhanced Image Super-Resolution via Relativistic Generative Adversarial Networks
* 2019: DADA: Depth-Aware Domain Adaptation in Semantic Segmentation
* 2020: Any-Width Networks
* 2020: Novel Attribute-Based Symmetric Multiple Instance Learning for Histopathological Image Analysis, A
* 2021: Internal-Illumination Photoacoustic Tomography Enhanced by a Graded-Scattering Fiber Diffuser
* 2021: Learning Imbalanced Datasets With Maximum Margin Loss
* 2021: Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning
* 2021: Sphererpn: Learning Spheres for High-Quality Region Proposals on 3d Point Clouds Object Detection
* 2022: Deep-E: A Fully-Dense Neural Network for Improving the Elevation Resolution in Linear-Array-Based Photoacoustic Tomography
* 2022: SoftGroup for 3D Instance Segmentation on Point Clouds
* 2022: Three-Dimensional Deep-Tissue Functional and Molecular Imaging by Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT)
* 2023: Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search
* 2023: Unsupervised image segmentation with robust virtual class contrast
* 2024: LP-OVOD: Open-Vocabulary Object Detection by Linear Probing
* 2024: On the Importance of Low-Frequency Signals in Functional and Molecular Photoacoustic Computed Tomography
* 2024: Scalable SoftGroup for 3D Instance Segmentation on Point Clouds
Includes: Vu, T.[Thang] Vu, T. Vu, T.[Thanh] Vu, T.[Tri] Vu, T.[Truong]
18 for Vu, T.

Vu, T.A.[Tuan Anh] * 2022: Ha Long: Cam Pha Cities Evolution Analysis Utilizing Remote Sensing Data
* 2022: RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds
* 2023: 1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
* 2023: Marine Video Kit: A New Marine Video Dataset for Content-Based Analysis and Retrieval
* 2024: 2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results
Includes: Vu, T.A.[Tuan Anh] Vu, T.A.[Tuan-Anh]

Vu, T.D.[Trung Dung] * 2008: High level sensor data fusion for automotive applications using occupancy grids
* 2009: Results of a Precrash Application Based on Laser Scanner and Short-Range Radars
* 2011: Cross-point regions on multiple bit planes for lossless images compression
* 2021: Right to Talk: An Audio-Visual Transformer Approach, The
Includes: Vu, T.D.[Trung Dung] Vu, T.D.[Trung-Dung] Vu, T.D. Vu, T.D.[The De]

Vu, T.H.[Tuan Hung] * 2014: Predicting Actions from Static Scenes
* 2015: Context-Aware CNNs for Person Head Detection
* 2016: Histopathological Image Classification Using Discriminative Feature-Oriented Dictionary Learning
* 2016: Learning a low-rank shared dictionary for object classification
* 2017: Deep Wavelet Prediction for Image Super-Resolution
* 2017: Fast Low-Rank Shared Dictionary Learning for Image Classification
* 2017: NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results
* 2018: View synthesis method for 3D video coding based on temporal and inter view correlation
* 2019: ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
* 2019: Deep Neural Network for Real-Time Driver Drowsiness Detection, A
* 2019: Memory Warps for Long-Term Online Video Representations and Anticipation
* 2020: Vehicles Tracking by Combining Convolutional Neural Network Based Segmentation and Optical Flow Estimation
* 2020: xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
* 2021: Facial Expression Recognition Using Residual Masking Network
* 2021: Handling new target classes in semantic segmentation with domain adaptation
* 2021: Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation
* 2021: Semantic Palette: Guiding Scene Generation with Class Proportions
* 2022: Confidence Estimation via Auxiliary Models
* 2022: CSG0: Continual Urban Scene Generation with Zero Forgetting
* 2022: Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation
* 2023: Cross-Modal Learning for Domain Adaptation in 3D Semantic Segmentation
* 2023: Cross-task Attention Mechanism for Dense Multi-task Learning
* 2023: PØDA: Prompt-driven Zero-shot Domain Adaptation
* 2024: Quantifying Spatio-Temporal River Morphological Change and Its Consequences in the Vietnamese Mekong River Delta Using Remote Sensing and Geographical Information System Techniques
Includes: Vu, T.H.[Tuan Hung] Vu, T.H.[Tuan-Hung] Vu, T.H. Vu, T.H.[Tiep Huu] Vu, T.H.[Tien Huu] Vu, T.H.[Toan H.] Vu, T.H.[The Huynh] Vu, T.H.[Thi Huong]
24 for Vu, T.H.

Vu, T.N.[Tu N.] * 2022: Anomaly Analysis in Images and Videos: A Comprehensive Review

Vu, T.T. * 2012: Rapid Disaster Damage Estimation
* 2016: Forest Cover Mapping in Iskandar Malaysia Using Satellite Data
* 2021: Building Structure Mapping on Level Terrains and Sea Surfaces in Vietnam
Includes: Vu, T.T. Vu, T.T.[Tuong T.]

Vu, T.T.P.[Thuy Thi Phuong] * 2020: Comparison of Machine Learning Methods for Estimating Mangrove Above-Ground Biomass Using Multiple Source Remote Sensing Data in the Red River Delta Biosphere Reserve, Vietnam
* 2022: Mapping Multi-Decadal Mangrove Extent in the Northern Coast of Vietnam Using Landsat Time-Series Data on Google Earth Engine Platform

Vu, T.V.[Thang Van] * 2018: PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report

Vu, T.X. * 2015: Performance Analysis of Network Coded Cooperation with Channel Coding and Adaptive DF-Based Relaying in Rayleigh Fading Channels

Vu, V.[Viet] * 2021: Using A Sliding Window Phase Matching Method for Imaging of GNSS Radio Occultation Signals

Vu, V.T.[Van Thinh] * 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
* 2010: Detection of Moving Targets by Focusing in UWB SAR: Theory and Experimental Results
* 2014: Suppression of Clutter in Multichannel SAR GMTI
* 2016: Fast Backprojection Algorithms Based on Subapertures and Local Polar Coordinates for General Bistatic Airborne SAR Systems
* 2017: False Alarm Reduction in Wavelength-Resolution SAR Change Detection Using Adaptive Noise Canceler
* 2018: Local Detection of Moving Targets in SAR Image Based on NRS Hypotheses
* 2019: Bivariate Gamma Distribution for Wavelength-Resolution SAR Change Detection
* 2020: Change Detection in UWB SAR Images Based on Robust Principal Component Analysis
* 2021: Supervised Detection of Ionospheric Scintillation in Low-Latitude Radio Occultation Measurements
* 2021: Wavelength-Resolution SAR Change Detection Method Based on Image Stack through Robust Principal Component Analysis, A
Includes: Vu, V.T.[Van Thinh] Vu, V.T.[Van-Thinh] Vu, V.T. Vu, V.T.[Viet T.]
12 for Vu, V.T.

Vu, V.V.[Viet Vu] * 2010: Efficient Active Constraint Selection Algorithm for Clustering, An
* 2012: Improving constrained clustering with active query selection
Includes: Vu, V.V.[Viet Vu] Vu, V.V.[Viet-Vu]

Vu, W.[Warren] * 2022: Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation

Vu, X.S.[Xuan Son] * 2023: First Visual Object Tracking Segmentation VOTS2023 Challenge Results, The
Includes: Vu, X.S.[Xuan Son] Vu, X.S.[Xuan-Son]

Vu, X.T.[Xuan Thanh] * 2015: New Stochastic Optimization Algorithm to Decompose Large Nonnegative Tensors, A

Index for "v"