Lifelog Moment Retrieval with Visual Concept Fusion and Text-based Query Expansion. - Minh-Triet Tran; Thanh-Dat Truong; Duy-Tung Dinh; Viet-Khoa Vo-Ho; Quoc-An Luong; Vinh-Tiep Nguyen (CLEF (Working Notes), 2018)

Traffic Flow Analysis With Multiple Adaptive Vehicle Detectors and Velocity Estimation With Landmark-Based Scanlines. - Minh-Triet Tran; Duy-Tung Dinh; Thanh-Dat Truong; Vinh Ton-That; Thanh-Nhon Do; Quoc-An Luong; Thanh-An Nguyen; Vinh-Tiep Nguyen; Minh N. Do (CVPR Workshops, 2018)

Lightweight Deep Convolutional Network for Tiny Object Recognition. - Thanh-Dat Truong; Vinh-Tiep Nguyen; Minh-Triet Tran (ICPRAM, 2018)

Lifelogging Retrieval based on Semantic Concepts Fusion. - Thanh-Dat Truong; Duy-Tung Dinh; Vinh-Tiep Nguyen; Minh-Triet Tran (LSC@ICMR, 2018)

Video Search Based on Semantic Extraction and Locally Regional Object Proposal. - Thanh-Dat Truong; Vinh-Tiep Nguyen; Minh-Triet Tran; Trang-Vinh Trieu; Tien Do; Thanh Duc Ngo; Duy-Dinh Le (MMM (2), 2018)

Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models. - Thanh-Dat Truong; Chi Nhan Duong; Khoa Luu; Minh-Triet Tran; Minh N. Do (CoRR, 2018)

Vehicle Re-identification with Learned Representation and Spatial Verification and Abnormality Detection with Multi-Adaptive Vehicle Detectors for Traffic Video Analysis. - Khac-Tuan Nguyen; Trung-Hieu Hoang; Minh-Triet Tran; Trung-Nghia Le; Ngoc-Minh Bui; Trong-Le Do; Viet-Khoa Vo-Ho; Quoc-An Luong; Mai-Khiem Tran; Thanh-An Nguyen; Thanh-Dat Truong; Vinh-Tiep Nguyen; et al. (CVPR Workshops, 2019)

Smart Lifelog Retrieval System with Habit-based Concepts and Moment Visualization. - Nguyen-Khang Le; Dieu-Hien Nguyen; Trung-Hieu Hoang; Thanh-An Nguyen; Thanh-Dat Truong; Duy-Tung Dinh; Quoc-An Luong; Viet-Khoa Vo-Ho; Vinh-Tiep Nguyen; Minh-Triet Tran (LSC@ICMR, 2019)

HCMUS at the NTCIR-14 Lifelog-3 Task. - Nguyen-Khang Le; Dieu-Hien Nguyen; Trung-Hieu Hoang; Thanh-An Nguyen; Thanh-Dat Truong; Duy-Tung Dinh; Quoc-An Luong; Viet-Khoa Vo-Ho; Vinh-Tiep Nguyen; Minh-Triet Tran (NTCIR, 2019)

Generative Flow via Invertible nxn Convolution. - Thanh-Dat Truong; Khoa Luu; Chi Nhan Duong; Ngan Le; Minh-Triet Tran (CoRR, 2019)

Image Alignment in Unseen Domains via Domain Deep Generalization. - Thanh-Dat Truong; Khoa Luu; Chi Nhan Duong; Ngan Le; Minh-Triet Tran (CoRR, 2019)

Recognition in Unseen Domains: Domain Generalization via Universal Non-volume Preserving Models. - Thanh-Dat Truong; Chi Nhan Duong; Khoa Luu; Minh-Triet Tran (CoRR, 2019)

Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition. - Chi Nhan Duong; Thanh-Dat Truong; Khoa Luu; Kha Gia Quach; Hung Bui; Kaushik Roy 003 (CVPR, 2020)

DyGLIP: A Dynamic Graph Model With Link Prediction for Accurate Multi-Camera Multiple Object Tracking. - Kha Gia Quach; Pha A. Nguyen; Huu Le; Thanh-Dat Truong; Chi Nhan Duong; Minh-Triet Tran; Khoa Luu (CVPR, 2021)

BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation. - Thanh-Dat Truong; Chi Nhan Duong; Ngan Le; Son Lam Phung; Chase Rainwater; Khoa Luu (ICCV, 2021)

The Right to Talk: An Audio-Visual Transformer Approach. - Thanh-Dat Truong; Chi Nhan Duong; The De Vu; Hoang Anh Pham; Bhiksha Raj; Ngan Le; Khoa Luu (ICCV, 2021)

Movement Analysis for Neurological and Musculoskeletal Disorders Using Graph Convolutional Neural Network. - Ibsa Jalata; Thanh-Dat Truong; Jessica L. Allen; Han-Seok Seo; Khoa Luu (Future Internet, 2021)

Fast Flow Reconstruction via Robust Invertible n × n Convolution. - Thanh-Dat Truong; Chi Nhan Duong; Minh-Triet Tran; Ngan Le; Khoa Luu (Future Internet, 2021)

DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition. - Thanh-Dat Truong; Quoc-Huy Bui; Chi Nhan Duong; Han-Seok Seo; Son Lam Phung; Xin Li 005; Khoa Luu (CVPR, 2022)

Self-Supervised Domain Adaptation in Crowd Counting. - Pha A. Nguyen; Thanh-Dat Truong; Miaoqing Huang; Yi Liang; Ngan Le; Khoa Luu (ICIP, 2022)

OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation. - Thanh-Dat Truong; Ravi Teja N. V. S. Chappa; Xuan-Bac Nguyen; Ngan Le; Ashley P. G. Dowling; Khoa Luu (ICPR, 2022)

EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring. - Ibsa Jalata; Naga Venkata Sai Raviteja Chappa; Thanh-Dat Truong; Pierce Helton; Chase Rainwater; Khoa Luu (IEEE Access, 2022)

Vec2Face-v2: Unveil Human Faces from their Blackbox Features via Attention-based Network in Face Recognition. - Thanh-Dat Truong; Chi Nhan Duong; Ngan Le; Marios Savvides; Khoa Luu (CoRR, 2022)

FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding. - Thanh-Dat Truong; Ngan Le; Bhiksha Raj; Jackson David Cothren; Khoa Luu (CVPR, 2023)

Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments. - Thanh-Dat Truong; Hoang-Quan Nguyen; Bhiksha Raj; Khoa Luu (NeurIPS, 2023)

CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View Adaptation. - Thanh-Dat Truong; Chi Nhan Duong; Ashley Dowling; Son Lam Phung; Jackson David Cothren; Khoa Luu (CoRR, 2023)

CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation. - Thanh-Dat Truong; Chi Nhan Duong; Pierce Helton; Ashley Dowling; Xin Li 005; Khoa Luu (CoRR, 2023)

FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding in Open World. - Thanh-Dat Truong; Utsav Prabhu; Bhiksha Raj; Jackson David Cothren; Khoa Luu (CoRR, 2023)

LIAAD: Lightweight attentive angular distillation for large-scale age-invariant face recognition. - Thanh-Dat Truong; Chi Nhan Duong; Kha Gia Quach; Ngan Le; Tien D. Bui; Khoa Luu (Neurocomputing, 2023)

Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding. - Hoang-Quan Nguyen; Thanh-Dat Truong; Xuan-Bac Nguyen; Ashley Dowling; Xin Li 005; Khoa Luu (CVPR, 2024)

CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars. - Thanh-Dat Truong; Pierce Helton; Ahmed Moustafa; Jackson David Cothren; Khoa Luu (CVPR Workshops, 2024)

EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding. - Thanh-Dat Truong; Utsav Prabhu; Dongyi Wang; Bhiksha Raj; Susan Gauch; Jeyamkondan Subbiah; Khoa Luu (NeurIPS, 2024)

Multi-view Action Recognition via Directed Gromov-Wasserstein Discrepancy. - Hoang-Quan Nguyen; Thanh-Dat Truong; Khoa Luu (CoRR, 2024)

ED-SAM: An Efficient Diffusion Sampling Approach to Domain Generalization in Vision-Language Foundation Models. - Thanh-Dat Truong; Xin Li 005; Bhiksha Raj; Jackson David Cothren; Khoa Luu (CoRR, 2024)

Towards Robust and Fair Vision Learning in Open-World Environments. - Thanh-Dat Truong (CoRR, 2024)

BIMA: Bijective Maximum Likelihood Learning Approach to Hallucination Prediction and Mitigation in Large Vision-Language Models. - Huu-Thien Tran; Thanh-Dat Truong; Khoa Luu (CVPR Workshops, 2025)

FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding. - Thanh-Dat Truong; Utsav Prabhu; Bhiksha Raj; Jackson David Cothren; Khoa Luu (CVPR, 2025)

Cross-view action recognition understanding from exocentric to egocentric perspective. - Thanh-Dat Truong; Khoa Luu (Neurocomputing, 2025)

Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding. - Thanh-Dat Truong; Hoang-Quan Nguyen; Xuan-Bac Nguyen; Ashley Dowling; Xin Li 005; Khoa Luu (CoRR, 2025)

MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning. - Thanh-Dat Truong; Christophe Bobda; Nitin Agarwal; Khoa Luu (CoRR, 2025)

Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models. - Thanh-Dat Truong; Huu-Thien Tran; Tran Thai Son; Bhiksha Raj; Khoa Luu (CoRR, 2025)