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.

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Recent News

Oct. 2024: One paper has been accepted to Neurocomputing (IF: 5.5). Congratulations!

Sep. 2024: One paper has been accepted to Thirty-Eighth Conference on Neural Information Processing Systems, 2024. Congratulations!

Sep. 2024: Thanh-Dat Truong successfully defended his PhD dissertation. Congratulations!

May. 2024: Thanh-Dat Truong has been featured in the University of Arkansas news.

Apr. 2024: One paper has been accepted to The 6th IEEE/CVF CVPR Precognition Workshop, 2024. Congratulations!

Apr. 2024: Our Insect Foundation paper accepted in CVPR'24 has been selected as highlight paper. Congratulations!

Mar. 2024: Thanh-Dat Truong was selected to participate CVPR 2024 Doctoral Consortium. Congratulations!

Feb. 2024: One co-first author paper has been accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024. Congratulations!

Oct. 2023: Thanh-Dat Truong was awarded NeurIPS 2023 Scholar Award for presenting his paper at NeurIPS'23. Congratulations!

Sep. 2023: One paper has been accepted to Thirty-seventh Conference on Neural Information Processing Systems, 2023. Congratulations!

Sep. 2023: Thanh-Dat Truong was awarded the Reginald R. "Barney" & Jameson A. Baxter Endowed Graduate Fellowship for the academic year 2023-2024.

Apr. 2023: Thanh-Dat Truong has been awarded a Doctoral Student Presentation Travel Grant to present research at CVPR 2023.

Mar. 2023: One paper has been accepted to Neurocomputing (IF: 5.779). Congratulations!

Feb. 2023: One paper has been accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023. Congratulations!

Research

Thanh-Dat Truong research aims to develop robust and fair vision learning approach. He is interested in computer vision, unsupervised domain adaptation, continual learning, and action recognition.

blind-date 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
blind-date Cross-view Action Recognition Understanding From Exocentric to Egocentric Perspective
Thanh-Dat Truong and Khoa Luu
Neurocomputing, 2024
blind-date 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
blind-date 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
blind-date 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
blind-date 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
blind-date 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
blind-date 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
blind-date 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
blind-date 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
blind-date 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
blind-date 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
blind-date 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
blind-date 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
blind-date 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
blind-date 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
blind-date 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
blind-date 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
blind-date 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
blind-date 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
blind-date 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

Miscellanea

Program Committee, CVPR Precognition Workshop (since 2020)
Reviewer, CVPR
Reviewer, ICCV
Reviewer, WACV
Reviewer, ECCV
Reviewer, ACCV
Reviewer, ICPR
Reviewer, Computers, Environment and Urban Systems
Reviewer, IEEE TPAMI
Reviewer, IEEE TIP
Reviewer, IEEE TAI
Reviewer, IEEE TCSVT
Reviewer, IEEE Access
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).

The source code of this webpage is adopted from Dr. Jon Barron.