Thang Vu

According to our database, Thang Vu authored at least 24 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scalable SoftGroup for 3D Instance Segmentation on Point Clouds.

Thang Vu, Kookhoi Kim, Thanh Xuan Nguyen, Tung Minh Luu, Junyeong Kim, Chang D. Yoo

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Teaching a Multilingual Large Language Model to Understand Multilingual Speech via Multi-Instructional Training.

Pavel Denisov, Thang Vu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Please note that I'm just an AI: Analysis of Behavior Patterns of LLMs in (Non-)offensive Speech Identification.

Esra Dönmez, Thang Vu, Agnieszka Falenska

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning.

Thanh Xuan Nguyen, Trung Xuan Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo

IEEE Access, 2023

Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study.

Injy Hamed, Nizar Habash, Thang Vu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Visual Pretraining via Contrastive Predictive Model for Pixel-Based Reinforcement Learning.

Tung Minh Luu, Thang Vu, Thanh Xuan Nguyen, Chang D. Yoo

Sensors, 2022

Improving Low-Resource Question Answering using Active Learning in Multiple Stages.

Maximilian Schmidt, Andrea Bartezzaghi, Jasmina Bogojeska, A. Cristiano I. Malossi, Thang Vu

CoRR, 2022

SoftGroup++: Scalable 3D Instance Segmentation with Octree Pyramid Grouping.

Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Xuan Nguyen, Junyeong Kim, Chang D. Yoo

CoRR, 2022

SoftGroup for 3D Instance Segmentation on Point Clouds.

Thang Vu, Kookhoi Kim, Tung Minh Luu, Xuan Thanh Nguyen, Chang D. Yoo

CoRR, 2022

Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning.

Tung Minh Luu, Thanh Xuan Nguyen, Thang Vu, Chang D. Yoo

IEEE Access, 2022

Meta Learning for Natural Language Processing: A Survey.

Hung-yi Lee, Shang-Wen Li, Thang Vu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Human vs. Automatic Detection of Deepfake Videos Over Noisy Channels.

Swaroop Shankar Prasad, Ofer Hadar, Thang Vu, Ilia Polian

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

SoftGroup for 3D Instance Segmentation on Point Clouds.

Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Xuan Nguyen, Chang D. Yoo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Findings of the Second AmericasNLP Competition on Speech-to-Text Translation.

Abteen Ebrahimi, Manuel Mager, Adam Wiemerslage, Pavel Denisov, Arturo Oncevay, Danni Liu, Sai Koneru, Enes Yavuz Ugan, Zhaolin Li, Jan Niehues, Monica Romero, Iván G. Torre, Tanel Alumäe, Jiaming Kong, Sergey Polezhaev, Yury Belousov, Wei-Rui Chen, Peter Sullivan, Ife Adebara, Bashar Talafha, Alcides Alcoba Inciarte, Muhammad Abdul-Mageed, Luis Chiruzzo, Rolando Coto-Solano, Hilaria Cruz, Sofía Flores-Solórzano, Aldo Andrés Alvarez López, Iván V. Meza-Ruíz, John E. Ortega, Alexis Palmer, Rodolfo Zevallos, Kristine Stenzel, Thang Vu, Katharina Kann

Proceedings of the NeurIPS 2022 Competition Track, 2021

Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model.

Thanh Xuan Nguyen, Tung Minh Luu, Thang Vu, Chang D. Yoo

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Sphererpn: Learning Spheres For High-Quality Region Proposals On 3d Point Clouds Object Detection.

Thang Vu, Kookhoi Kim, Haeyong Kang, Xuan Thanh Nguyen, Tung Minh Luu, Chang D. Yoo

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Learning Imbalanced Datasets With Maximum Margin Loss.

Haeyong Kang, Thang Vu, Chang D. Yoo

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

SCNet: Training Inference Sample Consistency for Instance Segmentation.

Thang Vu, Haeyong Kang, Chang D. Yoo

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution.

Thang Vu, Hyunjun Jang, Trung X. Pham, Chang Dong Yoo

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks.

Thang Vu, Cao Van Nguyen, Trung X. Pham, Tung Minh Luu, Chang D. Yoo

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Perception-Enhanced Image Super-Resolution via Relativistic Generative Adversarial Networks.

Thang Vu, Tung Minh Luu, Chang D. Yoo

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Seamless Mobile Video Streaming over HTTP/2 with Gradual Quality Transitions.

Hung T. Le, Thang Vu, Nam Pham Ngoc, Anh T. Pham, Truong Cong Thang

IEICE Trans. Commun., 2017

SDP-Based Quality Adaptation and Performance Prediction in Adaptive Streaming of VBR Videos.

Thoa Nguyen, Thang Vu, Nam Pham Ngoc, Truong Cong Thang

Adv. Multim., 2017

2016

Adaptive mobile streaming over HTTP/2 with gradual quality transitions.

Thang Vu, Hung T. Le, Nam Pham Ngoc, Truong Cong Thang

Proceedings of the IEEE 5th Global Conference on Consumer Electronics, 2016