Tung Minh Luu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Convolutional Neural Networks

Reinforcement Learning

Top Venues

ECCV Workshops (5)

Publications

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) (2024)
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 (2024)
Thanh Xuan Nguyen, Tung Minh Luu, Tri Ton, Chang D. Yoo
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses. CoRR (2024)
Thanh Nguyen, Trung Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning. CoRR (2023)
Thanh 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 (2023)
Tung Minh Luu, Thanh Nguyen, Thang Vu, Chang D. Yoo
Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning. IEEE Access 10 (2022)
Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Nguyen, Junyeong Kim, Chang D. Yoo
SoftGroup++: Scalable 3D Instance Segmentation with Octree Pyramid Grouping. CoRR (2022)
Thang Vu, Kookhoi Kim, Tung Minh Luu, Xuan Thanh Nguyen, Chang D. Yoo
SoftGroup for 3D Instance Segmentation on Point Clouds. CoRR (2022)
Tung Minh Luu, Thang Vu, Thanh Nguyen, Chang D. Yoo
Visual Pretraining via Contrastive Predictive Model for Pixel-Based Reinforcement Learning. Sensors 22 (17) (2022)
Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Nguyen, Chang D. Yoo
SoftGroup for 3D Instance Segmentation on Point Clouds. CVPR (2022)
Thanh Nguyen, Tung Minh Luu, Thang Vu, Chang D. Yoo
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model. CoRR (2021)
Thanh 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 (2021)
Tung Minh Luu, Chang D. Yoo
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment. IEEE Access 9 (2021)
Tung Minh Luu, Chang D. Yoo
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment. CoRR (2021)
Thanh 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)
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)
Thanh Nguyen, Tung Minh Luu, Thang Vu, Chang D. Yoo
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model. IROS (2021)
Thang Vu, Tung Minh Luu, Chang D. Yoo
Perception-Enhanced Image Super-Resolution via Relativistic Generative Adversarial Networks. ECCV Workshops (5) (2018)
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 (2018)
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)
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)