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2020 – today
- 2024
[j6]Thanh Xuan Nguyen, Tung Minh Luu
, Tri Ton, Sungwoong Kim, Chang D. Yoo:
Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning. IEEE Access 12: 100972-100982 (2024)- [j5]Thang Vu, Kookhoi Kim, Thanh Xuan Nguyen, Tung Minh Luu, Junyeong Kim, Chang D. Yoo:
Scalable SoftGroup for 3D Instance Segmentation on Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 1981-1995 (2024) - [i11]Thanh Xuan Nguyen, Tung Minh Luu, Tri Ton, Chang D. Yoo:
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses. CoRR abs/2405.11206 (2024) - [i10]Tung Minh Luu, Haeyong Kang, Tri Ton, Thanh Nguyen, Chang D. Yoo:
On the Perturbed States for Transformed Input-robust Reinforcement Learning. CoRR abs/2408.00023 (2024) - [i9]Tung Minh Luu, Thanh Nguyen, Tee Joshua Tian Jin, Sungwoon Kim, Chang D. Yoo:
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization. CoRR abs/2410.03376 (2024) - [i8]Tung Minh Luu, Donghoon Lee, Chang D. Yoo:
Predictive Coding for Decision Transformer. CoRR abs/2410.03408 (2024) - 2023
- [j4]Thanh Xuan Nguyen, Trung Xuan Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo:
DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning. IEEE Access 11: 21534-21545 (2023) - [i7]Thanh Xuan Nguyen, Trung X. Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo:
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning. CoRR abs/2309.11782 (2023) - 2022
- [j3]Tung Minh Luu, Thanh Xuan Nguyen, Thang Vu, Chang D. Yoo:
Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning. IEEE Access 10: 64965-64975 (2022) - [j2]Tung Minh Luu, Thang Vu, Thanh Xuan Nguyen, Chang D. Yoo:
Visual Pretraining via Contrastive Predictive Model for Pixel-Based Reinforcement Learning. Sensors 22(17): 6504 (2022) - [c7]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 - [i6]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) - [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) - 2021
- [j1]Tung Minh Luu, Chang D. Yoo:
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment. IEEE Access 9: 51996-52007 (2021) - [c6]Thanh Xuan Nguyen, Tung Minh Luu, Trung X. Pham, Sanzhar Rakhimkul, Chang D. Yoo:
Robust Maml: Prioritization Task Buffer with Adaptive Learning Process for Model-Agnostic Meta-Learning. ICASSP 2021: 3460-3464 - [c5]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 - [c4]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 - [i4]Thanh Xuan Nguyen, Tung Minh Luu, Trung X. Pham, Sanzhar Rakhimkul, Chang Dong Yoo:
Robust MAML: Prioritization task buffer with adaptive learning process for model-agnostic meta-learning. CoRR abs/2103.08233 (2021) - [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) - [i2]Tung Minh Luu, Chang D. Yoo:
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment. CoRR abs/2110.15043 (2021)
2010 – 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 - [c1]Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. ECCV Workshops (5) 2018: 315-333 - [i1]Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. CoRR abs/1810.01641 (2018)
Coauthor Index
aka: Chang D. Yoo
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