Thanh-Dat Truong

Thanh-Dat Truong is currently a PhD candidate at the University of Arkansas (UoA), where he is 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

Recent 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.

	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
	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
	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, 2023
	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
	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
	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
	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
	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
	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
	Cross-view Action Recognition Understanding From Exocentric to Egocentric Perspective Thanh-Dat Truong and Khoa Luu arXiv, 2023
	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
	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
	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
	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
	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
	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
	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
	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
	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.