Thang Vu

30 papers A* 4A 2B 2Journal 15Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
SLICE: An Efficient and Tuning-Free Keyframe Sampling Framework for Long-Form Video Understanding.
IEEE Access
Sungjin Han, Thang Vu, Junyeong Kim
2024 A* conf
Please note that I'm just an AI: Analysis of Behavior Patterns of LLMs in (Non-)offensive Speech Identification.
EMNLP
Esra Dönmez, Thang Vu, Agnieszka Falenska
2024 J jnl
Scalable SoftGroup for 3D Instance Segmentation on Point Clouds.
IEEE Trans. Pattern Anal. Mach. Intell.
Thang Vu, Kookhoi Kim, Thanh Xuan Nguyen, Tung Minh Luu, Junyeong Kim, Chang D. Yoo
2024 — conf
Teaching a Multilingual Large Language Model to Understand Multilingual Speech via Multi-Instructional Training.
NAACL-HLT (Findings)
Pavel Denisov, Thang Vu
2023 — conf
Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study.
EMNLP (Findings)
Injy Hamed, Nizar Habash, Thang Vu
2023 J jnl
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning.
CoRR
Thanh Xuan Nguyen, Trung X. Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo
2023 J jnl
DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning.
IEEE Access
Thanh Xuan Nguyen, Trung Xuan Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo
2022 A conf
Human vs. Automatic Detection of Deepfake Videos Over Noisy Channels.
ICME
Swaroop Shankar Prasad, Ofer Hadar, Thang Vu, Ilia Polian
2022 J jnl
Improving Low-Resource Question Answering using Active Learning in Multiple Stages.
CoRR
Maximilian Schmidt, Andrea Bartezzaghi, Jasmina Bogojeska, A. Cristiano I. Malossi, Thang Vu
2022 J jnl
Learning Imbalanced Datasets with Maximum Margin Loss.
CoRR
Haeyong Kang, Thang Vu, Chang D. Yoo
2022 — conf
Meta Learning for Natural Language Processing: A Survey.
NAACL-HLT
Hung-yi Lee, Shang-wen Li, Thang Vu
2022 A* conf
SoftGroup for 3D Instance Segmentation on Point Clouds.
CVPR
Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Xuan Nguyen, Chang D. Yoo
2022 J jnl
SoftGroup for 3D Instance Segmentation on Point Clouds.
CoRR
Thang Vu, Kookhoi Kim, Tung Minh Luu, Xuan Thanh Nguyen, Chang D. Yoo
2022 J jnl
SoftGroup++: Scalable 3D Instance Segmentation with Octree Pyramid Grouping.
CoRR
Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Xuan Nguyen, Junyeong Kim, Chang D. Yoo
2022 J jnl
Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning.
IEEE Access
Tung Minh Luu, Thanh Xuan Nguyen, Thang Vu, Chang D. Yoo
2022 J jnl
Visual Pretraining via Contrastive Predictive Model for Pixel-Based Reinforcement Learning.
Sensors
Tung Minh Luu, Thang Vu, Thanh Xuan Nguyen, Chang D. Yoo
2021 — conf
Findings of the Second AmericasNLP Competition on Speech-to-Text Translation.
NeurIPS (Competition and Demos)
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
2021 B conf
Learning Imbalanced Datasets With Maximum Margin Loss.
ICIP
Haeyong Kang, Thang Vu, Chang D. Yoo
2021 A* conf
SCNet: Training Inference Sample Consistency for Instance Segmentation.
AAAI
Thang Vu, Haeyong Kang, Chang D. Yoo
2021 A conf
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model.
IROS
Thanh Xuan Nguyen, Tung Minh Luu, Thang Vu, Chang D. Yoo
2021 J jnl
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model.
CoRR
Thanh Xuan Nguyen, Tung Minh Luu, Thang Vu, Chang D. Yoo
2021 B conf
Sphererpn: Learning Spheres For High-Quality Region Proposals On 3d Point Clouds Object Detection.
ICIP
Thang Vu, Kookhoi Kim, Haeyong Kang, Xuan Thanh Nguyen, Tung Minh Luu, Chang D. Yoo
2020 J jnl
SCNet: Training Inference Sample Consistency for Instance Segmentation.
CoRR
Thang Vu, Haeyong Kang, Chang D. Yoo
2019 A* conf
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution.
NeurIPS
Thang Vu, Hyunjun Jang, Trung X. Pham, Chang Dong Yoo
2019 J jnl
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution.
CoRR
Thang Vu, Hyunjun Jang, Trung X. Pham, Chang D. Yoo
2018 — conf
Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks.
ECCV Workshops (5)
Thang Vu, Cao Van Nguyen, Trung X. Pham, Tung Minh Luu, Chang D. Yoo
2018 — conf
Perception-Enhanced Image Super-Resolution via Relativistic Generative Adversarial Networks.
ECCV Workshops (5)
Thang Vu, Tung Minh Luu, Chang D. Yoo
2017 J jnl
SDP-Based Quality Adaptation and Performance Prediction in Adaptive Streaming of VBR Videos.
Adv. Multim.
Thoa Nguyen, Thang Vu, Nam Pham Ngoc, Truong Cong Thang
2017 J jnl
Seamless Mobile Video Streaming over HTTP/2 with Gradual Quality Transitions.
IEICE Trans. Commun.
Hung T. Le, Thang Vu, Nam Pham Ngoc, Anh T. Pham, Truong Cong Thang
2016 — conf
Adaptive mobile streaming over HTTP/2 with gradual quality transitions.
GCCE
Thang Vu, Hung T. Le, Nam Pham Ngoc, Truong Cong Thang