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Thang Vu
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2020 – today
- 2024
- [j6]Thang Vu
, Kookhoi Kim
Scalable SoftGroup for 3D Instance Segmentation on Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 1981-1995 (2024) - [c15]Esra Dönmez, Thang Vu, Agnieszka Falenska:
Please note that I'm just an AI: Analysis of Behavior Patterns of LLMs in (Non-)offensive Speech Identification. EMNLP 2024: 18340-18357 - [c14]Pavel Denisov, Thang Vu:
Teaching a Multilingual Large Language Model to Understand Multilingual Speech via Multi-Instructional Training. NAACL-HLT (Findings) 2024: 814-834 - 2023
- [j5]Thanh Xuan Nguyen
DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning. IEEE Access 11: 21534-21545 (2023) - [c13]Injy Hamed, Nizar Habash, Thang Vu:
Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study. EMNLP (Findings) 2023: 140-154 - [i8]Thanh Xuan Nguyen, Trung X. Pham, Chaoning Zhang
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning. CoRR abs/2309.11782 (2023) - 2022
- [j4]Tung Minh Luu
Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning. IEEE Access 10: 64965-64975 (2022) - [j3]Tung Minh Luu
Visual Pretraining via Contrastive Predictive Model for Pixel-Based Reinforcement Learning. Sensors 22(17): 6504 (2022) - [c12]Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Xuan Nguyen, Chang D. Yoo:
SoftGroup for 3D Instance Segmentation on Point Clouds. CVPR 2022: 2698-2707 - [c11]Swaroop Shankar Prasad, Ofer Hadar
Human vs. Automatic Detection of Deepfake Videos Over Noisy Channels. ICME 2022: 1-6 - [c10]Hung-yi Lee, Shang-Wen Li, Thang Vu:
Meta Learning for Natural Language Processing: A Survey. NAACL-HLT 2022: 666-684 - [i7]Thang Vu, Kookhoi Kim, Tung Minh Luu, Xuan Thanh Nguyen, Chang D. Yoo:
SoftGroup for 3D Instance Segmentation on Point Clouds. CoRR abs/2203.01509 (2022) - [i6]Haeyong Kang, Thang Vu, Chang D. Yoo:
Learning Imbalanced Datasets with Maximum Margin Loss. CoRR abs/2206.05380 (2022) - [i5]Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Xuan Nguyen, Junyeong Kim, Chang D. Yoo:
SoftGroup++: Scalable 3D Instance Segmentation with Octree Pyramid Grouping. CoRR abs/2209.08263 (2022) - [i4]Maximilian Schmidt, Andrea Bartezzaghi
Improving Low-Resource Question Answering using Active Learning in Multiple Stages. CoRR abs/2211.14880 (2022) - 2021
- [c9]Thang Vu, Haeyong Kang, Chang D. Yoo:
SCNet: Training Inference Sample Consistency for Instance Segmentation. AAAI 2021: 2701-2709 - [c8]Haeyong Kang, Thang Vu, Chang D. Yoo:
Learning Imbalanced Datasets With Maximum Margin Loss. ICIP 2021: 1269-1273 - [c7]Thang Vu, Kookhoi Kim, Haeyong Kang, Xuan Thanh Nguyen, Tung Minh Luu, Chang D. Yoo:
Sphererpn: Learning Spheres For High-Quality Region Proposals On 3d Point Clouds Object Detection. ICIP 2021: 3173-3177 - [c6]Thanh Xuan Nguyen, Tung Minh Luu, Thang Vu, Chang D. Yoo:
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model. IROS 2021: 3471-3477 - [c5]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:
Findings of the Second AmericasNLP Competition on Speech-to-Text Translation. NeurIPS (Competition and Demos) 2021: 217-232 - [i3]Thanh Xuan Nguyen, Tung Minh Luu, Thang Vu, Chang D. Yoo:
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model. CoRR abs/2103.08255 (2021) - 2020
- [i2]Thang Vu, Haeyong Kang, Chang D. Yoo:
SCNet: Training Inference Sample Consistency for Instance Segmentation. CoRR abs/2012.10150 (2020)
2010 – 2019
- 2019
- [c4]Thang Vu, Hyunjun Jang, Trung X. Pham, Chang Dong Yoo:
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution. NeurIPS 2019: 1430-1440 - [i1]Thang Vu, Hyunjun Jang, Trung X. Pham, Chang D. Yoo:
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution. CoRR abs/1909.06720 (2019) - 2018
- [c3]Thang Vu, Tung Minh Luu, Chang D. Yoo:
Perception-Enhanced Image Super-Resolution via Relativistic Generative Adversarial Networks. ECCV Workshops (5) 2018: 98-113 - [c2]Thang Vu, Cao Van Nguyen, Trung X. Pham, Tung Minh Luu, Chang D. Yoo:
Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks. ECCV Workshops (5) 2018: 243-259 - 2017
- [j2]Thoa Nguyen
SDP-Based Quality Adaptation and Performance Prediction in Adaptive Streaming of VBR Videos. Adv. Multim. 2017: 7323681:1-7323681:12 (2017) - [j1]Hung T. Le, Thang Vu, Nam Pham Ngoc, Anh T. Pham
Seamless Mobile Video Streaming over HTTP/2 with Gradual Quality Transitions. IEICE Trans. Commun. 100-B(5): 901-909 (2017) - 2016
- [c1]Thang Vu, Hung T. Le, Nam Pham Ngoc, Truong Cong Thang:
Adaptive mobile streaming over HTTP/2 with gradual quality transitions. GCCE 2016: 1-2
Coauthor Index
aka: Chang D. Yoo
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