Luu, A.T.
* 2020: Holistic Multi-Modal Memory Network for Movie Question Answering
* 2022: Verification of Sitter Identity Across Historical Portrait Paintings by Confidence-aware Face Recognition
* 2024: Bias and Diversity in Synthetic-based Face Recognition
* 2024: Efficient Explainable Face Verification based on Similarity Score Argument Backpropagation
Includes: Luu, A.T. Luu, A.T.[Anh Thi]
Luu, C.D.[Chi D.]
* 2013: Image processing for visual prostheses: A clinical perspective
Luu, D.T.[Duc Tuan]
* 2022: CDC: Color-Based Diffusion Model with Caption Embedding in VBS 2022
* 2023: Multi-camera People Tracking With Mixture of Realistic and Synthetic Knowledge
* 2023: Tracked-Vehicle Retrieval by Natural Language Descriptions with Multi-Contextual Adaptive Knowledge
Includes: Luu, D.T.[Duc Tuan] Luu, D.T.[Duc-Tuan] Luu, D.T.[Duc Trung]
Luu, H.V.[Hung Viet]
* 2022: Mapping Multi-Decadal Mangrove Extent in the Northern Coast of Vietnam Using Landsat Time-Series Data on Google Earth Engine Platform
Luu, J.G.
* 1989: Shape Normalization Through Compacting
Luu, K.[Khoa]
* 2009: Age estimation using Active Appearance Models and Support Vector Machine regression
* 2010: Spectral Regression based age determination
* 2011: Facial feature fusion and model selection for age estimation
* 2011: Investigating Age Invariant Face Recognition Based on Periocular Biometrics
* 2011: Kernel spectral regression of perceived age from hybrid facial features
* 2012: Beard and mustache segmentation using sparse classifiers on self-quotient images
* 2012: Compressed Submanifold Multifactor Analysis with adaptive factor structures
* 2012: Facecut: a robust approach for facial feature segmentation
* 2012: novel energy based filter for cross-blink eye detection, A
* 2013: SparCLeS: Dynamic L_1 Sparse Classifiers With Level Sets for Robust Beard/Moustache Detection and Segmentation
* 2014: Sparse Representation and Low-Rank Approximation for Robust Face Recognition
* 2015: Beyond Principal Components: Deep Boltzmann Machines for face modeling
* 2015: Facial aging and asymmetry decomposition based approaches to identification of twins
* 2015: IRIS Super-Resolution via Nonparametric Over-Complete Dictionary Learning
* 2015: robust contour sampling and tensor-based approach to facial beard and mustache shape segmentation and matching, A
* 2015: Spartans: Single-Sample Periocular-Based Alignment-Robust Recognition Technique Applied to Non-Frontal Scenarios
* 2016: Depth-based 3D hand pose tracking
* 2016: Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines
* 2016: Multiple Scale Faster-RCNN Approach to Driver's Cell-Phone Usage and Hands on Steering Wheel Detection
* 2016: Robust Deep Appearance Models
* 2016: Robust hand detection in Vehicles
* 2016: Weakly Supervised Facial Analysis with Dense Hyper-Column Features
* 2017: Compressed Submanifold Multifactor Analysis
* 2017: DeepSafeDrive: A grammar-aware driver parsing approach to Driver Behavioral Situational Awareness (DB-SAW)
* 2017: Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses
* 2017: Non-convex online robust PCA: Enhance sparsity via lp-norm minimization
* 2017: Robust Hand Detection and Classification in Vehicles and in the Wild
* 2017: Semi self-training beard/moustache detection and segmentation simultaneously
* 2017: Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition
* 2018: Deep contextual recurrent residual networks for scene labeling
* 2018: Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild
* 2018: Lp Norm Relaxation Approach for Large Scale Data Analysis: A Review
* 2018: Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation
* 2018: Seeing Small Faces from Robust Anchor's Perspective
* 2019: Automatic Face Aging in Videos via Deep Reinforcement Learning
* 2019: Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling
* 2019: Learning from Longitudinal Face Demonstration: Where Tractable Deep Modeling Meets Inverse Reinforcement Learning
* 2020: Domain Generalization via Universal Non-volume Preserving Approach
* 2020: Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition
* 2021: BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation
* 2021: Clusformer: A Transformer based Clustering Approach to Unsupervised Large-scale Face and Visual Landmark Recognition
* 2021: DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking
* 2021: Offset Curves Loss for Imbalanced Problem in Medical Segmentation
* 2021: PairFlow: Enhancing Portable Chest X-Ray By Flow-Based Deformation for Covid-19 Diagnosing
* 2021: Progressive Semantic Segmentation
* 2021: Right to Talk: An Audio-Visual Transformer Approach, The
* 2022: DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition
* 2022: Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles
* 2022: Non-volume preserving-based fusion to group-level emotion recognition on crowd videos
* 2022: OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
* 2022: Self-Supervised Domain Adaptation in Crowd Counting
* 2022: VLCAP: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning
* 2023: FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
* 2023: Micron-BERT: BERT-Based Facial Micro-Expression Recognition
* 2023: SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
* 2024: Multi-camera multi-object tracking on the move via single-stage global association approach
Includes: Luu, K.[Khoa] Luu, K.
56 for Luu, K.
Luu, M.
* 2023: Why is the Winner the Best?
Luu, M.H.[Manh Ha]
* 2018: Local Image Registration Uncertainty Estimation Using Polynomial Chaos Expansions
* 2018: Registration Evaluation by De-enhancing CT Images
Luu, R.
* 2018: Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery
Luu, T.M.[Tung M.]
* 2018: Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks
* 2018: Perception-Enhanced Image Super-Resolution via Relativistic Generative Adversarial Networks
* 2018: PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
* 2021: Sphererpn: Learning Spheres for High-Quality Region Proposals on 3d Point Clouds Object Detection
* 2022: SoftGroup for 3D Instance Segmentation on Point Clouds
* 2024: Scalable SoftGroup for 3D Instance Segmentation on Point Clouds
Includes: Luu, T.M.[Tung M.] Luu, T.M.[Tung Minh]