Khoa Luu

214 papers A* 24A 1B 19C 1Misc 2Journal 139Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
An advanced hybrid quantum tabu search approach to vehicle routing problems.
Quantum Mach. Intell.
James B. Holliday, Eneko Osaba, Khoa Luu
2026 J jnl
BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Xuan-Bac Nguyen, Hojin Jang, Xin Li, Samee U. Khan, Pawan Sinha, Khoa Luu
2026 J jnl
COBRA: A Continual Learning Approach to Vision-Brain Understanding.
Int. J. Comput. Vis.
Xuan-Bac Nguyen, Manuel Serna-Aguilera, Arabinda Kumar Choudhary, Pawan Sinha, Xin Li, Khoa Luu
2026 J jnl
NICO-RAG: Multimodal Hypergraph Retrieval-Augmented Generation for Understanding the Nicotine Public Health Crisis.
CoRR
Manuel Serna-Aguilera, Raegan Anderes, Page Daniel Dobbs, Khoa Luu
2026 J jnl
OpenQlaw: An Agentic AI Assistant for Analysis of 2D Quantum Materials.
CoRR
Sankalp Pandey, Xuan-Bac Nguyen, Hoang-Quan Nguyen, Tim Faltermeier, Nicholas Borys, Hugh Churchill, Khoa Luu
2026 J jnl
QuPAINT: Physics-Aware Instruction Tuning Approach to Quantum Material Discovery.
CoRR
Xuan-Bac Nguyen, Hoang-Quan Nguyen, Sankalp Pandey, Tim Faltermeier, Nicholas Borys, Hugh Churchill, Khoa Luu
2026 J jnl
ϕ-DPO: Fairness Direct Preference Optimization Approach to Continual Learning in Large Multimodal Models.
CoRR
Thanh-Dat Truong, Huu-Thien Tran, Jackson David Cothren, Bhiksha Raj, Khoa Luu
2025 J jnl
AGP: A Novel Arabidopsis thaliana Genomics-Phenomics Dataset and its HyperGraph Baseline Benchmarking.
CoRR
Manuel Serna-Aguilera, Fiona L. Goggin, Aranyak Goswami, Alexander Bucksch, Suxing Liu, Khoa Luu
2025 J jnl
Advanced Quantum Annealing Approach to Vehicle Routing Problems with Time Windows.
CoRR
James B. Holliday, Darren Blount, Eneko Osaba, Khoa Luu
2025 J jnl
An Advanced Hybrid Quantum Tabu Search Approach to Vehicle Routing Problems.
CoRR
James Holliday, Eneko Osaba, Khoa Luu
2025 J jnl
Autoregressive Temporal Modeling for Advanced Tracking-by-Diffusion.
Int. J. Comput. Vis.
Pha A. Nguyen, Rishi Madhok, Bhiksha Raj, Khoa Luu
2025 — conf
BIMA: Bijective Maximum Likelihood Learning Approach to Hallucination Prediction and Mitigation in Large Vision-Language Models.
CVPR Workshops
Huu-Thien Tran, Thanh-Dat Truong, Khoa Luu
2025 J jnl
BIMA: Bijective Maximum Likelihood Learning Approach to Hallucination Prediction and Mitigation in Large Vision-Language Models.
CoRR
Huu-Thien Tran, Thanh-Dat Truong, Khoa Luu
2025 J jnl
BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding.
CoRR
Xuan-Bac Nguyen, Thanh-Dat Truong, Pawan Sinha, Khoa Luu
2025 J jnl
Brainformer: Mimic human visual brain functions to machine vision models via fMRI.
Neurocomputing
Xuan-Bac Nguyen, Xin Li, Pawan Sinha, Samee U. Khan, Khoa Luu
2025 J jnl
CLIFF: Continual Learning for Incremental Flake Features in 2D Material Identification.
CoRR
Sankalp Pandey, Xuan-Bac Nguyen, Nicholas Borys, Hugh Churchill, Khoa Luu
2025 J jnl
Cross-view action recognition understanding from exocentric to egocentric perspective.
Neurocomputing
Thanh-Dat Truong, Khoa Luu
2025 J jnl
DEFEND: A Large-scale 1M Dataset and Foundation Model for Tobacco Addiction Prevention.
CoRR
Naga Venkata Sai Raviteja Chappa, Matthew Shepard, Connor McCurtain, Charlotte McCormick, Page Daniel Dobbs, Khoa Luu
2025 J jnl
Diffusion-inspired quantum noise mitigation in parameterized quantum circuits.
Quantum Mach. Intell.
Hoang-Quan Nguyen, Xuan-Bac Nguyen, Samuel Yen-Chi Chen, Hugh Churchill, Nicholas Borys, Samee U. Khan, Khoa Luu
2025 J jnl
Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models.
CoRR
Thanh-Dat Truong, Huu-Thien Tran, Tran Thai Son, Bhiksha Raj, Khoa Luu
2025 A* conf
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding.
CVPR
Thanh-Dat Truong, Utsav Prabhu, Bhiksha Raj, Jackson David Cothren, Khoa Luu
2025 A* conf
HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation.
CVPR
Trong-Thuan Nguyen, Pha Nguyen, Jackson David Cothren, Alper Yilmaz, Khoa Luu
2025 J jnl
Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding.
CoRR
Thanh-Dat Truong, Hoang-Quan Nguyen, Xuan-Bac Nguyen, Ashley Dowling, Xin Li, Khoa Luu
2025 J jnl
Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding.
Int. J. Comput. Vis.
Thanh-Dat Truong, Hoang-Quan Nguyen, Xuan-Bac Nguyen, Ashley Dowling, Xin Li, Khoa Luu
2025 A conf
LiGAR: LiDAR-Guided Hierarchical Transformer for Multi-Modal Group Activity Recognition.
WACV
Naga Venkata Sai Raviteja Chappa, Khoa Luu
2025 J jnl
MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning.
CoRR
Thanh-Dat Truong, Christophe Bobda, Nitin Agarwal, Khoa Luu
2025 J jnl
MEX: Memory-efficient Approach to Referring Multi-Object Tracking.
CoRR
Huu-Thien Tran, Phuoc-Sang Pham, Thai-Son Tran, Khoa Luu
2025 J jnl
QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks.
CoRR
Hoang-Quan Nguyen, Xuan-Bac Nguyen, Sankalp Pandey, Samee U. Khan, Ilya Safro, Khoa Luu
2025 J jnl
QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery.
CoRR
James Holliday, Darren Blount, Hoang Quan Nguyen, Samee U. Khan, Khoa Luu
2025 J jnl
SoGAR: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition.
IEEE Access
Naga Venkata Sai Raviteja Chappa, Pha A. Nguyen, Alexander H. Nelson, Han-Seok Seo, Xin Li, Page Daniel Dobbs, Khoa Luu
2025 J jnl
THYME: Temporal Hierarchical-Cyclic Interactivity Modeling for Video Scene Graphs in Aerial Footage.
CoRR
Trong-Thuan Nguyen, Pha Nguyen, Jackson David Cothren, Alper Yilmaz, Minh-Triet Tran, Khoa Luu
2025 J jnl
φ-Adapt: A Physics-Informed Adaptation Learning Approach to 2D Quantum Material Discovery.
CoRR
Hoang-Quan Nguyen, Xuan-Bac Nguyen, Sankalp Pandey, Tim Faltermeier, Nicholas Borys, Hugh Churchill, Khoa Luu
2024 J jnl
A Novel Dataset for Video-Based Autism Classification Leveraging Extra-Stimulatory Behavior.
CoRR
Manuel Serna-Aguilera, Xuan-Bac Nguyen, Han-Seok Seo, Khoa Luu
2024 J jnl
BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning.
CoRR
Xuan-Bac Nguyen, Hojin Jang, Xin Li, Samee U. Khan, Pawan Sinha, Khoa Luu
2024 J jnl
COBRA: A Continual Learning Approach to Vision-Brain Understanding.
CoRR
Xuan-Bac Nguyen, Arabinda Kumar Choudhary, Pawan Sinha, Xi Li, Khoa Luu
2024 — conf
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars.
CVPR Workshops
Thanh-Dat Truong, Pierce Helton, Ahmed Moustafa, Jackson David Cothren, Khoa Luu
2024 A* conf
CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos.
NeurIPS
Trong-Thuan Nguyen, Pha A. Nguyen, Xin Li, Jackson David Cothren, Alper Yilmaz, Khoa Luu
2024 J jnl
CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos.
CoRR
Trong-Thuan Nguyen, Pha A. Nguyen, Xin Li, Jackson David Cothren, Alper Yilmaz, Khoa Luu
2024 A* conf
DINTR: Tracking via Diffusion-based Interpolation.
NeurIPS
Pha A. Nguyen, Ngan Le, Jackson David Cothren, Alper Yilmaz, Khoa Luu
2024 J jnl
DINTR: Tracking via Diffusion-based Interpolation.
CoRR
Pha A. Nguyen, Ngan Le, Jackson David Cothren, Alper Yilmaz, Khoa Luu
2024 J jnl
Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits.
CoRR
Hoang-Quan Nguyen, Xuan-Bac Nguyen, Samuel Yen-Chi Chen, Hugh Churchill, Nicholas Borys, Samee U. Khan, Khoa Luu
2024 A* conf
EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding.
NeurIPS
Thanh-Dat Truong, Utsav Prabhu, Dongyi Wang, Bhiksha Raj, Susan Gauch, Jeyamkondan Subbiah, Khoa Luu
2024 J jnl
EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding.
CoRR
Thanh-Dat Truong, Utsav Prabhu, Dongyi Wang, Bhiksha Raj, Susan Gauch, Jeyamkondan Subbiah, Khoa Luu
2024 J jnl
ED-SAM: An Efficient Diffusion Sampling Approach to Domain Generalization in Vision-Language Foundation Models.
CoRR
Thanh-Dat Truong, Xin Li, Bhiksha Raj, Jackson David Cothren, Khoa Luu
2024 J jnl
FLAASH: Flow-Attention Adaptive Semantic Hierarchical Fusion for Multi-Modal Tobacco Content Analysis.
CoRR
Ravi Teja N. V. S. Chappa, Page Daniel Dobbs, Bhiksha Raj, Khoa Luu
2024 J jnl
HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group-Activity Scene Graph Generation in Videos.
Sensors
Naga Venkata Sai Raviteja Chappa, Pha A. Nguyen, Thi Hoang Ngan Le, Page Daniel Dobbs, Khoa Luu
2024 A* conf
HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding.
CVPR
Trong-Thuan Nguyen, Pha A. Nguyen, Khoa Luu
2024 — conf
Hierarchical Quantum Control Gates for Functional MRI Understanding.
SiPS
Xuan-Bac Nguyen, Hoang-Quan Nguyen, Hugh Churchill, Samee U. Khan, Khoa Luu
2024 J jnl
Hierarchical Quantum Control Gates for Functional MRI Understanding.
CoRR
Xuan-Bac Nguyen, Hoang-Quan Nguyen, Hugh Churchill, Samee U. Khan, Khoa Luu
2024 Misc conf
Hybrid Quantum Tabu Search for Solving the Vehicle Routing Problem.
QCE
James Holliday, Braeden Morgan, Hugh Churchill, Khoa Luu
2024 J jnl
Hybrid Quantum Tabu Search for Solving the Vehicle Routing Problem.
CoRR
James Holliday, Braeden Morgan, Hugh Churchill, Khoa Luu
2024 J jnl
HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation.
CoRR
Trong-Thuan Nguyen, Pha A. Nguyen, Jackson David Cothren, Alper Yilmaz, Khoa Luu
2024 A* conf
Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding.
CVPR
Hoang-Quan Nguyen, Thanh-Dat Truong, Xuan-Bac Nguyen, Ashley Dowling, Xin Li, Khoa Luu
2024 J jnl
LiGAR: LiDAR-Guided Hierarchical Transformer for Multi-Modal Group Activity Recognition.
CoRR
Naga Venkata Sai Raviteja Chappa, Khoa Luu
2024 J jnl
Multi-camera multi-object tracking on the move via single-stage global association approach.
Pattern Recognit.
Pha A. Nguyen, Kha Gia Quach, Chi Nhan Duong, Son Lam Phung, Ngan Le, Khoa Luu
2024 J jnl
Multi-view Action Recognition via Directed Gromov-Wasserstein Discrepancy.
CoRR
Hoang-Quan Nguyen, Thanh-Dat Truong, Khoa Luu
2024 J jnl
Public Health Advocacy Dataset: A Dataset of Tobacco Usage Videos from Social Media.
CoRR
Ravi Teja N. V. S. Chappa, Charlotte McCormick, Susana Rodriguez Gongora, Page Daniel Dobbs, Khoa Luu
2024 Misc conf
QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering.
QCE
Xuan-Bac Nguyen, Hoang-Quan Nguyen, Samuel Yen-Chi Chen, Samee U. Khan, Hugh Churchill, Khoa Luu
2024 J jnl
QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering.
CoRR
Xuan-Bac Nguyen, Hoang-Quan Nguyen, Samuel Yen-Chi Chen, Samee U. Khan, Hugh Churchill, Khoa Luu
2024 J jnl
Quantum Visual Feature Encoding Revisited.
CoRR
Xuan-Bac Nguyen, Hoang-Quan Nguyen, Hugh Churchill, Samee U. Khan, Khoa Luu
2024 J jnl
Quantum visual feature encoding revisited.
Quantum Mach. Intell.
Xuan-Bac Nguyen, Hoang-Quan Nguyen, Hugh Churchill, Samee U. Khan, Khoa Luu
2024 J jnl
Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding.
CoRR
Hoang-Quan Nguyen, Xuan-Bac Nguyen, Hugh Churchill, Arabinda Kumar Choudhary, Pawan Sinha, Samee U. Khan, Khoa Luu
2024 J jnl
React: recognize every action everywhere all at once.
Mach. Vis. Appl.
Naga Venkata Sai Raviteja Chappa, Pha A. Nguyen, Page Daniel Dobbs, Khoa Luu
2024 J jnl
Two-Dimensional Quantum Material Identification via Self-Attention and Soft-Labeling in Deep Learning.
IEEE Access
Xuan-Bac Nguyen, Apoorva Bisht, Benjamin Thompson, Hugh Churchill, Khoa Luu, Samee U. Khan
2024 J jnl
Video-Based Autism Detection with Deep Learning.
CoRR
Manuel Serna-Aguilera, Xuan-Bac Nguyen, Asmita Singh, Lydia Rockers, Se-Woong Park, Leslie Neely, Han-Seok Seo, Khoa Luu
2024 — conf
Z-GMOT: Zero-shot Generic Multiple Object Tracking.
NAACL-HLT (Findings)
Kim Hoang Tran, Anh Duy Le Dinh, Tien-Phat Nguyen, Thinh Phan, Pha A. Nguyen, Khoa Luu, Donald A. Adjeroh, Gianfranco Doretto, Ngan Hoang Le
2023 J jnl
Brainformer: Modeling MRI Brain Functions to Machine Vision.
CoRR
Xuan-Bac Nguyen, Xin Li, Samee U. Khan, Khoa Luu
2023 J jnl
CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View Adaptation.
CoRR
Thanh-Dat Truong, Chi Nhan Duong, Ashley Dowling, Son Lam Phung, Jackson David Cothren, Khoa Luu
2023 J jnl
CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation.
CoRR
Thanh-Dat Truong, Chi Nhan Duong, Pierce Helton, Ashley Dowling, Xin Li, Khoa Luu
2023 J jnl
Cross-view Action Recognition Understanding From Exocentric to Egocentric Perspective.
CoRR
Thanh-Dat Truong, Khoa Luu
2023 J jnl
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding in Open World.
CoRR
Thanh-Dat Truong, Utsav Prabhu, Bhiksha Raj, Jackson David Cothren, Khoa Luu
2023 A* conf
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding.
CVPR
Thanh-Dat Truong, Ngan Le, Bhiksha Raj, Jackson David Cothren, Khoa Luu
2023 J jnl
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding.
CoRR
Thanh-Dat Truong, Ngan Le, Bhiksha Raj, Jackson David Cothren, Khoa Luu
2023 A* conf
Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments.
NeurIPS
Thanh-Dat Truong, Hoang-Quan Nguyen, Bhiksha Raj, Khoa Luu
2023 J jnl
Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments.
CoRR
Thanh-Dat Truong, Hoang-Quan Nguyen, Bhiksha Raj, Khoa Luu
2023 J jnl
Fairness in Visual Clustering: A Novel Transformer Clustering Approach.
CoRR
Xuan-Bac Nguyen, Chi Nhan Duong, Marios Savvides, Kaushik Roy, Khoa Luu
2023 J jnl
HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos.
CoRR
Naga Venkata Sai Raviteja Chappa, Pha A. Nguyen, T. Hoang Ngan Le, Khoa Luu
2023 J jnl
HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding.
CoRR
Trong-Thuan Nguyen, Pha A. Nguyen, Khoa Luu
2023 J jnl
Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding.
CoRR
Hoang-Quan Nguyen, Thanh-Dat Truong, Xuan-Bac Nguyen, Ashley Dowling, Xin Li, Khoa Luu
2023 J jnl
LIAAD: Lightweight attentive angular distillation for large-scale age-invariant face recognition.
Neurocomputing
Thanh-Dat Truong, Chi Nhan Duong, Kha Gia Quach, Ngan Le, Tien D. Bui, Khoa Luu
2023 A* conf
Micron-BERT: BERT-Based Facial Micro-Expression Recognition.
CVPR
Xuan-Bac Nguyen, Chi Nhan Duong, Xin Li, Susan Gauch, Han-Seok Seo, Khoa Luu
2023 J jnl
Micron-BERT: BERT-based Facial Micro-Expression Recognition.
CoRR
Xuan-Bac Nguyen, Chi Nhan Duong, Xin Li, Susan Gauch, Han-Seok Seo, Khoa Luu
2023 — conf
POP-HIT: Partially Order-Preserving Hash-Induced Transformation for Privacy Protection in Face Recognition Access Control.
SecureComm (2)
Yatish Dubasi, Qinghua Li, Khoa Luu
2023 J jnl
Quantum Vision Clustering.
CoRR
Xuan-Bac Nguyen, Benjamin Thompson, Hugh Churchill, Khoa Luu, Samee U. Khan
2023 J jnl
REACT: Recognize Every Action Everywhere All At Once.
CoRR
Naga Venkata Sai Raviteja Chappa, Pha A. Nguyen, Page Daniel Dobbs, Khoa Luu
2023 — conf
SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition.
CVPR Workshops
Naga Venkata Sai Raviteja Chappa, Pha A. Nguyen, Alexander H. Nelson, Han-Seok Seo, Xin Li, Page Daniel Dobbs, Khoa Luu
2023 J jnl
SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition.
CoRR
Naga Venkata Sai Raviteja Chappa, Pha A. Nguyen, Alexander H. Nelson, Han-Seok Seo, Xin Li, Page Daniel Dobbs, Khoa Luu
2023 J jnl
SoGAR: Self-supervised Spatiotemporal Attention-based Social Group Activity Recognition.
CoRR
Naga Venkata Sai Raviteja Chappa, Pha A. Nguyen, Alexander H. Nelson, Han-Seok Seo, Xin Li, Page Daniel Dobbs, Khoa Luu
2023 J jnl
The Algonauts Project 2023 Challenge: UARK-UAlbany Team Solution.
CoRR
Xuan-Bac Nguyen, Xudong Liu, Xin Li, Khoa Luu
2023 A* conf
Type-to-Track: Retrieve Any Object via Prompt-based Tracking.
NeurIPS
Pha A. Nguyen, Kha Gia Quach, Kris Kitani, Khoa Luu
2023 J jnl
Type-to-Track: Retrieve Any Object via Prompt-based Tracking.
CoRR
Pha A. Nguyen, Kha Gia Quach, Kris Kitani, Khoa Luu
2023 J jnl
UTOPIA: Unconstrained Tracking Objects without Preliminary Examination via Cross-Domain Adaptation.
CoRR
Pha A. Nguyen, Kha Gia Quach, John Gauch, Samee U. Khan, Bhiksha Raj, Khoa Luu
2023 J jnl
Z-GMOT: Zero-shot Generic Multiple Object Tracking.
CoRR
Kim Hoang Tran, Anh Duy Le Dinh, Tien-Phat Nguyen, Thinh Phan, Pha A. Nguyen, Khoa Luu, Donald A. Adjeroh, Gianfranco Doretto, Ngan Hoang Le
2022 J jnl
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars.
CoRR
Thanh-Dat Truong, Pierce Helton, Ahmed Moustafa, Jackson David Cothren, Khoa Luu
2022 J jnl
CapsNet for Medical Image Segmentation.
CoRR
Minh Q. Tran, Viet-Khoa Vo-Ho, Kyle Quinn, Hien Nguyen, Khoa Luu, Ngan Le
2022 — conf
Contextual Explainable Video Representation: Human Perception-based Understanding.
IEEECONF
Khoa Vo, Kashu Yamazaki, Phong X. Nguyen, Phat Nguyen, Khoa Luu, Ngan Le
2022 J jnl
Contextual Explainable Video Representation: Human Perception-based Understanding.
CoRR
Khoa Vo, Kashu Yamazaki, Phong X. Nguyen, Phat Nguyen, Khoa Luu, Ngan Le
2022 J jnl
Deep reinforcement learning in computer vision: a comprehensive survey.
Artif. Intell. Rev.
Ngan Le, Vidhiwar Singh Rathour, Kashu Yamazaki, Khoa Luu, Marios Savvides
2022 J jnl
Depth Perspective-aware Multiple Object Tracking.
CoRR
Kha Gia Quach, Huu Le, Pha A. Nguyen, Chi Nhan Duong, Tien Dai Bui, Khoa Luu
2022 A* conf
DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition.
CVPR
Thanh-Dat Truong, Quoc-Huy Bui, Chi Nhan Duong, Han-Seok Seo, Son Lam Phung, Xin Li, Khoa Luu
2022 J jnl
DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition.
CoRR
Thanh-Dat Truong, Quoc-Huy Bui, Chi Nhan Duong, Han-Seok Seo, Son Lam Phung, Xin Li, Khoa Luu
2022 J jnl
EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring.
IEEE Access
Ibsa Jalata, Naga Venkata Sai Raviteja Chappa, Thanh-Dat Truong, Pierce Helton, Chase Rainwater, Khoa Luu
2022 J jnl
Efficient hyperspectral image segmentation for biosecurity scanning using knowledge distillation from multi-head teacher.
Neurocomputing
Minh-Hieu Phan, Son Lam Phung, Khoa Luu, Abdesselam Bouzerdoum
2022 J jnl
Multi-Camera Multi-Object Tracking on the Move via Single-Stage Global Association Approach.
CoRR
Pha A. Nguyen, Kha Gia Quach, Chi Nhan Duong, Son Lam Phung, Ngan Le, Khoa Luu
2022 — conf
Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles.
CVPR Workshops
Pha A. Nguyen, Kha Gia Quach, Chi Nhan Duong, Ngan Le, Xuan-Bac Nguyen, Khoa Luu
2022 J jnl
Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles.
CoRR
Pha A. Nguyen, Kha Gia Quach, Chi Nhan Duong, Ngan Le, Xuan-Bac Nguyen, Khoa Luu
2022 J jnl
Neural Cell Video Synthesis via Optical-Flow Diffusion.
CoRR
Manuel Serna-Aguilera, Khoa Luu, Nathaniel Harris, Min Zou
2022 J jnl
Non-volume preserving-based fusion to group-level emotion recognition on crowd videos.
Pattern Recognit.
Kha Gia Quach, Ngan Le, Chi Nhan Duong, Ibsa Jalata, Kaushik Roy, Khoa Luu
2022 B conf
OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation.
ICPR
Thanh-Dat Truong, Ravi Teja N. V. S. Chappa, Xuan-Bac Nguyen, Ngan Le, Ashley P. G. Dowling, Khoa Luu
2022 J jnl
OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation.
CoRR
Thanh-Dat Truong, Naga Venkata Sai Raviteja Chappa, Xuan-Bac Nguyen, Ngan Le, Ashley Dowling, Khoa Luu
2022 J jnl
Pedestrian Lane Detection for Assistive Navigation of Vision-Impaired People: Survey and Experimental Evaluation.
IEEE Access
Yunjia Lei, Son Lam Phung, Abdesselam Bouzerdoum, Hoang Thanh Le, Khoa Luu
2022 B conf
Self-Supervised Domain Adaptation in Crowd Counting.
ICIP
Pha A. Nguyen, Thanh-Dat Truong, Miaoqing Huang, Yi Liang, Ngan Le, Khoa Luu
2022 J jnl
Self-supervised Domain Adaptation in Crowd Counting.
CoRR
Pha A. Nguyen, Thanh-Dat Truong, Miaoqing Huang, Yi Liang, Ngan Le, Khoa Luu
2022 J jnl
Two-Dimensional Quantum Material Identification via Self-Attention and Soft-labeling in Deep Learning.
CoRR
Xuan-Bac Nguyen, Apoorva Bisht, Hugh Churchill, Khoa Luu
2022 B conf
VLCAP: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning.
ICIP
Kashu Yamazaki, Sang Truong, Viet-Khoa Vo-Ho, Michael Kidd, Chase Rainwater, Khoa Luu, Ngan Le
2022 J jnl
VLCap: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning.
CoRR
Kashu Yamazaki, Sang Truong, Khoa Vo, Michael Kidd, Chase Rainwater, Khoa Luu, Ngan Le
2022 J jnl
Vec2Face-v2: Unveil Human Faces from their Blackbox Features via Attention-based Network in Face Recognition.
CoRR
Thanh-Dat Truong, Chi Nhan Duong, Ngan Le, Marios Savvides, Khoa Luu
2021 A* conf
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation.
ICCV
Thanh-Dat Truong, Chi Nhan Duong, Ngan Le, Son Lam Phung, Chase Rainwater, Khoa Luu
2021 J jnl
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation.
CoRR
Thanh-Dat Truong, Chi Nhan Duong, Ngan Le, Son Lam Phung, Chase Rainwater, Khoa Luu
2021 A* conf
Clusformer: A Transformer Based Clustering Approach to Unsupervised Large-Scale Face and Visual Landmark Recognition.
CVPR
Xuan-Bac Nguyen, Duc Toan Bui, Chi Nhan Duong, Tien D. Bui, Khoa Luu
2021 J jnl
Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey.
CoRR
Ngan Le, Vidhiwar Singh Rathour, Kashu Yamazaki, Khoa Luu, Marios Savvides
2021 J jnl
Deep reinforcement learning in medical imaging: A literature review.
CoRR
S. Kevin Zhou, T. Hoang Ngan Le, Khoa Luu, Hien Van Nguyen, Nicholas Ayache
2021 J jnl
Deep reinforcement learning in medical imaging: A literature review.
Medical Image Anal.
S. Kevin Zhou, T. Hoang Ngan Le, Khoa Luu, Hien Van Nguyen, Nicholas Ayache
2021 A* conf
DyGLIP: A Dynamic Graph Model With Link Prediction for Accurate Multi-Camera Multiple Object Tracking.
CVPR
Kha Gia Quach, Pha A. Nguyen, Huu Le, Thanh-Dat Truong, Chi Nhan Duong, Minh-Triet Tran, Khoa Luu
2021 J jnl
DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking.
CoRR
Kha Gia Quach, Pha A. Nguyen, Huu Le, Thanh-Dat Truong, Chi Nhan Duong, Minh-Triet Tran, Khoa Luu
2021 J jnl
Evaluating effects of focal length and viewing angle in a comparison of recent face landmark and alignment methods.
EURASIP J. Image Video Process.
Xiang Li, Jianzheng Liu, Jessica R. Baron, Khoa Luu, Eric K. Patterson
2021 J jnl
Fast Flow Reconstruction via Robust Invertible n × n Convolution.
Future Internet
Thanh-Dat Truong, Chi Nhan Duong, Minh-Triet Tran, Ngan Le, Khoa Luu
2021 J jnl
Movement Analysis for Neurological and Musculoskeletal Disorders Using Graph Convolutional Neural Network.
Future Internet
Ibsa Jalata, Thanh-Dat Truong, Jessica L. Allen, Han-Seok Seo, Khoa Luu
2021 B conf
PairFlow: Enhancing Portable Chest X-Ray By Flow-Based Deformation For Covid-19 Diagnosing.
ICIP
Ngan Le, James Sorensen, Toan Duc Bui, Arabinda Choudhary, Khoa Luu, Hien Van Nguyen
2021 A* conf
Progressive Semantic Segmentation.
CVPR
Chuong Huynh, Anh Tuan Tran, Khoa Luu, Minh Hoai
2021 J jnl
Progressive Semantic Segmentation.
CoRR
Chuong Huynh, Anh Tran, Khoa Luu, Minh Hoai
2021 A* conf
The Right to Talk: An Audio-Visual Transformer Approach.
ICCV
Thanh-Dat Truong, Chi Nhan Duong, The De Vu, Hoang Anh Pham, Bhiksha Raj, Ngan Le, Khoa Luu
2021 J jnl
The Right to Talk: An Audio-Visual Transformer Approach.
CoRR
Thanh-Dat Truong, Chi Nhan Duong, The De Vu, Hoang Anh Pham, Bhiksha Raj, Ngan Le, Khoa Luu
2020 — conf
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing.
iMIMIC/MIL3ID/LABELS@MICCAI
Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani
2020 — conf
DeepFakes Detection in Videos using Feature Engineering Techniques in Deep Learning Convolution Neural Network Frameworks.
AIPR
Sonya J. Burroughs, Balakrishna Gokaraju, Kaushik Roy, Khoa Luu
2020 — conf
Domain Generalization via Universal Non-volume Preserving Approach.
CRV
Dat T. Truong, Chi Nhan Duong, Khoa Luu, Minh-Triet Tran, Ngan Le
2020 — conf
Flow-Based Deformation Guidance for Unpaired Multi-contrast MRI Image-to-Image Translation.
MICCAI (2)
Toan Duc Bui, Manh Nguyen, Ngan Le, Khoa Luu
2020 J jnl
Flow-based Deformation Guidance for Unpaired Multi-Contrast MRI Image-to-Image Translation.
CoRR
Toan Duc Bui, Manh Nguyen, Ngan Le, Khoa Luu
2020 — ed.
Interpretable and Annotation-Efficient Learning for Medical Image Computing - Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings
iMIMIC/MIL3ID/LABELS@MICCAI
Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani
2020 J jnl
LIAAD: Lightweight Attentive Angular Distillation for Large-scale Age-Invariant Face Recognition.
CoRR
Thanh-Dat Truong, Chi Nhan Duong, Kha Gia Quach, Ngan Le, Khoa Luu, Tien D. Bui
2020 J jnl
Machine learning to identify variables in thermodynamically small systems.
Comput. Chem. Eng.
David M. Ford, Aditya Dendukuri, Gülce Kalyoncu, Khoa Luu, Matthew J. Patitz
2020 B conf
Offset Curves Loss for Imbalanced Problem in Medical Segmentation.
ICPR
Ngan Le, T. Hoang Ngan Le, Kashu Yamazaki, Toan Duc Bui, Khoa Luu, Marios Savvides
2020 J jnl
Offset Curves Loss for Imbalanced Problem in Medical Segmentation.
CoRR
Ngan Le, T. Hoang Ngan Le, Kashu Yamazaki, Toan Duc Bui, Khoa Luu, Marios Savvides
2020 A* conf
Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition.
CVPR
Chi Nhan Duong, Thanh-Dat Truong, Khoa Luu, Kha Gia Quach, Hung Bui, Kaushik Roy
2020 J jnl
Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition.
CoRR
Chi Nhan Duong, Thanh-Dat Truong, Kha Gia Quach, Hung Bui, Kaushik Roy, Khoa Luu
2019 A* conf
Automatic Face Aging in Videos via Deep Reinforcement Learning.
CVPR
Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Nghia Nguyen, Eric Patterson, Tien D. Bui, Ngan Le
2019 J jnl
Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling.
Int. J. Comput. Vis.
Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Tien D. Bui
2019 J jnl
Defining Quantum Neural Networks via Quantum Time Evolution.
CoRR
Aditya Dendukuri, Blake Keeling, Arash Fereidouni, Joshua Burbridge, Khoa Luu, Hugh Churchill
2019 — ed.
Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
DART/MIL3ID@MICCAI
Qian Wang, Fausto Milletari, Hien Van Nguyen, Shadi Albarqouni, M. Jorge Cardoso, Nicola Rieke, Ziyue Xu, Konstantinos Kamnitsas, Vishal Patel, Badri Roysam, Steve B. Jiang, S. Kevin Zhou, Khoa Luu, Ngan Le
2019 J jnl
Generative Flow via Invertible nxn Convolution.
CoRR
Thanh-Dat Truong, Khoa Luu, Chi Nhan Duong, Ngan Le, Minh-Triet Tran
2019 J jnl
Image Alignment in Unseen Domains via Domain Deep Generalization.
CoRR
Thanh-Dat Truong, Khoa Luu, Chi Nhan Duong, Ngan Le, Minh-Triet Tran
2019 J jnl
Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning.
Int. J. Comput. Vis.
Chi Nhan Duong, Kha Gia Quach, Khoa Luu, T. Hoang Ngan Le, Marios Savvides, Tien D. Bui
2019 — conf
MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices.
BTAS
Chi Nhan Duong, Kha Gia Quach, Ibsa Jalata, Ngan Le, Khoa Luu
2019 J jnl
Recognition in Unseen Domains: Domain Generalization via Universal Non-volume Preserving Models.
CoRR
Thanh-Dat Truong, Chi Nhan Duong, Khoa Luu, Minh-Triet Tran
2019 J jnl
ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks.
CoRR
Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Ngan Le
2018 J jnl
Automatic Face Aging in Videos via Deep Reinforcement Learning.
CoRR
Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Nghia Nguyen, Eric Patterson, Tien D. Bui, Ngan Le
2018 J jnl
Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models.
CoRR
Thanh-Dat Truong, Chi Nhan Duong, Khoa Luu, Minh-Triet Tran, Minh N. Do
2018 J jnl
Deep contextual recurrent residual networks for scene labeling.
Pattern Recognit.
T. Hoang Ngan Le, Chi Nhan Duong, Ligong Han, Khoa Luu, Kha Gia Quach, Marios Savvides
2018 B conf
Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild.
FG
Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides
2018 J jnl
Image Processing in Quantum Computers.
CoRR
Aditya Dendukuri, Khoa Luu
2018 J jnl
Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches.
CoRR
Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Tien D. Bui
2018 — conf
Lp Norm Relaxation Approach for Large Scale Data Analysis: A Review.
ICIAR
Tien D. Bui, Kha Gia Quach, Chi Nhan Duong, Khoa Luu
2018 J jnl
MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices.
CoRR
Chi Nhan Duong, Kha Gia Quach, Ngan Le, Nghia Nguyen, Khoa Luu
2018 J jnl
Non-Volume Preserving-based Feature Fusion Approach to Group-Level Expression Recognition on Crowd Videos.
CoRR
Kha Gia Quach, Ngan Le, Khoa Luu, Chi Nhan Duong, Ibsa Jalata, Karl Ricanek
2018 J jnl
Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation.
IEEE Trans. Image Process.
T. Hoang Ngan Le, Kha Gia Quach, Khoa Luu, Chi Nhan Duong, Marios Savvides
2018 A* conf
Seeing Small Faces From Robust Anchor's Perspective.
CVPR
Chenchen Zhu, Ran Tao, Khoa Luu, Marios Savvides
2018 J jnl
Seeing Small Faces from Robust Anchor's Perspective.
CoRR
Chenchen Zhu, Ran Tao, Khoa Luu, Marios Savvides
2017 J jnl
Compressed Submanifold Multifactor Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Khoa Luu, Marios Savvides, Tien D. Bui, Ching Y. Suen
2017 J jnl
Deep Contextual Recurrent Residual Networks for Scene Labeling.
CoRR
T. Hoang Ngan Le, Chi Nhan Duong, Ligong Han, Khoa Luu, Marios Savvides, Dipan K. Pal
2017 J jnl
DeepSafeDrive: A grammar-aware driver parsing approach to Driver Behavioral Situational Awareness (DB-SAW).
Pattern Recognit.
T. Hoang Ngan Le, Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides
2017 J jnl
Faster Than Real-time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses.
CoRR
Chandrasekhar Bhagavatula, Chenchen Zhu, Khoa Luu, Marios Savvides
2017 A* conf
Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses.
ICCV
Chandrasekhar Bhagavatula, Chenchen Zhu, Khoa Luu, Marios Savvides
2017 J jnl
Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning.
CoRR
Chi Nhan Duong, Kha Gia Quach, Khoa Luu, T. Hoang Ngan Le, Marios Savvides
2017 J jnl
Non-convex online robust PCA: Enhance sparsity via ℓ
Comput. Vis. Image Underst.
Kha Gia Quach, Chi Nhan Duong, Khoa Luu, Tien D. Bui
2017 J jnl
Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation.
CoRR
T. Hoang Ngan Le, Kha Gia Quach, Khoa Luu, Marios Savvides, Chenchen Zhu
2017 — conf
Robust Hand Detection and Classification in Vehicles and in the Wild.
CVPR Workshops
T. Hoang Ngan Le, Kha Gia Quach, Chenchen Zhu, Chi Nhan Duong, Khoa Luu, Marios Savvides
2017 J jnl
Semi self-training beard/moustache detection and segmentation simultaneously.
Image Vis. Comput.
T. Hoang Ngan Le, Khoa Luu, Chenchen Zhu, Marios Savvides
2017 J jnl
Temporal Non-Volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition.
CoRR
Chi Nhan Duong, Kha Gia Quach, Khoa Luu, T. Hoang Ngan Le, Marios Savvides
2017 A* conf
Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition.
ICCV
Chi Nhan Duong, Kha Gia Quach, Khoa Luu, T. Hoang Ngan Le, Marios Savvides
2016 J jnl
CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection.
CoRR
Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides
2016 J jnl
Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling.
CoRR
Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Tien D. Bui
2016 B conf
Depth-based 3D hand pose tracking.
ICPR
Kha Gia Quach, Chi Nhan Duong, Khoa Luu, Tien D. Bui
2016 A* conf
Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines.
CVPR
Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Tien D. Bui
2016 J jnl
Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines.
CoRR
Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Tien D. Bui
2016 — conf
Multiple Scale Faster-RCNN Approach to Driver's Cell-Phone Usage and Hands on Steering Wheel Detection.
CVPR Workshops
T. Hoang Ngan Le, Yutong Zheng, Chenchen Zhu, Khoa Luu, Marios Savvides
2016 B conf
Robust Deep Appearance Models.
ICPR
Kha Gia Quach, Chi Nhan Duong, Khoa Luu, Tien D. Bui
2016 J jnl
Robust Deep Appearance Models.
CoRR
Kha Gia Quach, Chi Nhan Duong, Khoa Luu, Tien D. Bui
2016 B conf
Robust hand detection in Vehicles.
ICPR
T. Hoang Ngan Le, Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides
2016 J jnl
Towards a Deep Learning Framework for Unconstrained Face Detection.
CoRR
Yutong Zheng, Chenchen Zhu, Khoa Luu, Chandrasekhar Bhagavatula, T. Hoang Ngan Le, Marios Savvides
2016 — conf
Towards a deep learning framework for unconstrained face detection.
BTAS
Yutong Zheng, Chenchen Zhu, Khoa Luu, Chandrasekhar Bhagavatula, T. Hoang Ngan Le, Marios Savvides
2016 — conf
Weakly Supervised Facial Analysis with Dense Hyper-Column Features.
CVPR Workshops
Chenchen Zhu, Yutong Zheng, Khoa Luu, T. Hoang Ngan Le, Chandrasekhar Bhagavatula, Marios Savvides
2015 B conf
A robust contour sampling and tensor-based approach to facial beard and mustache shape segmentation and matching.
ICIP
Karanhaar Singh, Khoa Luu, T. Hoang Ngan Le, Marios Savvides
2015 A* conf
Beyond Principal Components: Deep Boltzmann Machines for face modeling.
CVPR
Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Tien D. Bui
2015 J jnl
Facial aging and asymmetry decomposition based approaches to identification of twins.
Pattern Recognit.
T. Hoang Ngan Le, Keshav Seshadri, Khoa Luu, Marios Savvides
2015 — conf
Fast and robust self-training beard/moustache detection and segmentation.
ICB
T. Hoang Ngan Le, Khoa Luu, Marios Savvides
2015 B conf
IRIS super-resolution via nonparametric over-complete dictionary learning.
ICIP
Raied Aljadaany, Khoa Luu, Shreyas Venugopalan, Marios Savvides
2015 J jnl
Spartans: Single-Sample Periocular-Based Alignment-Robust Recognition Technique Applied to Non-Frontal Scenarios.
IEEE Trans. Image Process.
Felix Juefei-Xu, Khoa Luu, Marios Savvides
2014 — conf
Distributed class dependent feature analysis - A big data approach.
IEEE BigData
Khoa Luu, Chenchen Zhu, Marios Savvides
2013 J jnl
SparCLeS: Dynamic 퓁
IEEE Trans. Image Process.
T. Hoang Ngan Le, Khoa Luu, Marios Savvides
2012 — conf
A facial aging approach to identification of identical twins.
BTAS
T. Hoang Ngan Le, Khoa Luu, Keshav Seshadri, Marios Savvides
2012 B conf
A novel energy based filter for cross-blink eye detection.
ICIP
T. Hoang Ngan Le, Khoa Luu, Utsav Prabhu, Marios Savvides
2012 — conf
A robust approach to facial ethnicity classification on large scale face databases.
BTAS
Yiting Xie, Khoa Luu, Marios Savvides
2012 B conf
Beard and mustache segmentation using sparse classifiers on self-quotient images.
ICIP
T. Hoang Ngan Le, Khoa Luu, Keshav Seshadri, Marios Savvides
2012 B conf
Compressed Submanifold Multifactor Analysis with adaptive factor structures.
ICPR
Khoa Luu, Marios Savvides, Tien D. Bui, Ching Y. Suen
2012 B conf
Facecut - a robust approach for facial feature segmentation.
ICIP
Khoa Luu, T. Hoang Ngan Le, Keshav Seshadri, Marios Savvides
2012 — conf
Gabor Wavelet-Based Appearance Models.
RIVF
Kha Gia Quach, Chi Nhan Duong, Khoa Luu, Hoai Bac Le
2012 — conf
Hallucinating faces in the dark.
BTAS
Sasikanth Bendapudi, Khoa Luu, Marios Savvides
2011 B conf
Contourlet appearance model for facial age estimation.
IJCB
Khoa Luu, Keshav Seshadri, Marios Savvides, Tien D. Bui, Ching Y. Suen
2011 B conf
Facial feature fusion and model selection for age estimation.
FG
Cuixian Chen, Wankou Yang, Yishi Wang, Karl Ricanek, Khoa Luu
2011 B conf
Investigating age invariant face recognition based on periocular biometrics.
IJCB
Felix Juefei-Xu, Khoa Luu, Marios Savvides, Tien D. Bui, Ching Y. Suen
2011 B conf
Kernel spectral regression of perceived age from hybrid facial features.
FG
Khoa Luu, Tien Dai Bui, Ching Y. Suen
2010 — conf
A Computer Approach for Face Aging Problems.
Canadian AI
Khoa Luu
2010 C conf
Combined local and holistic facial features for age-determination.
ICARCV
Khoa Luu, Tien D. Bui, Ching Y. Suen, Karl Ricanek
2010 — conf
Spectral Regression based age determination.
CVPR Workshops
Khoa Luu, Tien Dai Bui, Ching Y. Suen, Karl Ricanek