Thanh-Dat Truong
Thanh-Dat Truong received his PhD in Computer Science at the University of Arkansas (UoA) in 2024, where he was
supervised by
Dr. Khoa Luu. He received his B.Sc. degree in Computer
Science from the Honors Program, University of Science, VNU in 2019 under the supervisions
of Dr. Khoa Luu and Dr. Minh-Triet Tran.
He was a research intern with Dr. Minh Do at
Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign in 2018.
Email /
Scholar /
Twitter /
Github
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EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding
Thanh-Dat Truong, Utsav Prabhu, Dongyi Wang, Bhiksha Raj, Susan Gauch, Jeyamkondan Subbiah, and Khoa Luu
Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS), 2024
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Cross-view Action Recognition Understanding From Exocentric to Egocentric
Perspective
Thanh-Dat Truong and Khoa Luu
Neurocomputing, 2024
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FALCON: Fairness Learning via Contrastive Attention Approach to Continual
Semantic Scene Understanding in Open World
Thanh-Dat Truong, Utsav Prabhu, Bhiksha Raj, Jackson Cothren, and Khoa Luu
arXiv, 2024
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ED-SAM: An Efficient Diffusion Sampling Approach to Domain Generalization in Vision-Language Foundation Models
Thanh-Dat Truong, Xin Li, Bhiksha Raj, Jackson Cothren, and Khoa Luu
arXiv, 2024
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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, and
Khoa Luu (*Co-first Authors)
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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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
The IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2024
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Fairness Continual Learning Approach to Semantic Scene Understanding in
Open-World Environments
Thanh-Dat Truong, Hoang-Quan Nguyen, Bhiksha Raj, and Khoa Luu
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023
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FREDOM: Fairness Domain Adaptation Approach to Semantic Scene
Understanding
Thanh-Dat Truong, Ngan Le, Bhiksha Raj, Jackson Cothren, and Khoa Luu
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
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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, and Khoa Luu
Neurocomputing, 2023
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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, and Khoa Luu
arXiv, 2023
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CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View
Adaptation
Thanh-Dat Truong, Chi Nhan Duong, Ashley Dowling, Son Lam Phung, Jackson Cothren, and
Khoa Luu
arXiv, 2023
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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, and Khoa Luu
arXiv, 2023
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Self-Supervised Domain Adaptation in Crowd Counting
Pha Nguyen, Thanh-Dat Truong, Miaoqing Huang, Yi Liang, Ngan Le, and Khoa Luu
The IEEE International Conference on Image Processing (ICIP), 2022
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OTAdapt: Optimal Transport-based Approach For Unsupervised Domain
Adaptation
Thanh-Dat Truong, Raviteja NVS Chappa, Xuan Bac Nguyen, Ngan Le, Ashley Dowling, and
Khoa Luu
The International Conference on Pattern Recognition (ICPR), 2022
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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,
and Khoa Luu
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
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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, and Khoa
Luu
The IEEE/CVF International Conference on Computer Vision (ICCV), 2021
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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,and
Khoa Luu
The IEEE/CVF International Conference on Computer Vision (ICCV), 2021
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Fast Flow Reconstruction via Robust Invertible nxn Convolution
Thanh-Dat Truong, Chi Nhan Duong, Minh-Triet Tran, Ngan Le, and Khoa Luu
Future Internet, 2021
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DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate
Multi-Camera Multiple Object Tracking
Kha Gia Quach, Pha Nguyen, Huu Le, Thanh-Dat Truong, Chi Nhan Duong, Minh-Triet Tran,
and Khoa Luu
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
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Vec2Face: Unveil Human Faces from their Blackbox Features in Face
Recognition
Chi Nhan Duong, Thanh-Dat Truong, Kha Gia Quach, Hung Bui, Kaushik Roy, and Khoa Luu
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
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Domain Generalization via Universal Non-volume Preserving Approach
Thanh-Dat Truong, Chi Nhan Duong, Khoa Luu, Minh-Triet Tran, and Ngan Le
The Conference on Computer and Robot Vision (CRV), 2020
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Program Committee, CVPR Precognition Workshop (since 2020)
Reviewer, CVPR
Reviewer, ICCV
Reviewer, WACV
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Reviewer, ECCV
Reviewer, ACCV
Reviewer, ICPR
Reviewer, Computers, Environment and Urban Systems
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Reviewer, IEEE TPAMI
Reviewer, IEEE TIP
Reviewer, IEEE TAI
Reviewer, IEEE TCSVT
Reviewer, IEEE Access
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Teaching Assistant of NACME Google Applied Machine Learning Intensive Summer Bootcamp, 2021, 2022.
CSCE4613: Artificial Intelligence (Guest Lecturer).
CSCE5703: Computer Vision (Guest Lecturer).
CSCE4263: Advanced Data Structures (Guest Lecturer).
CSCE4133: Algorithms (Guest Lecturer).
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