Tung Minh Luu - RankMe

36 papers A* 2A 4B 1Misc 3Journal 22Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning. CoRR Thanh Nguyen, Tung Minh Luu, Tri Ton, Sungwoong Kim, Chang D. Yoo
2025	A*	`conf`	Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models. ICML Tung Minh Luu, Younghwan Lee, Donghoon Lee, Sunho Kim, Min Jun Kim, Chang D. Yoo
2025	J	`jnl`	Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models. CoRR Tung Minh Luu, Younghwan Lee, Donghoon Lee, Sunho Kim, Min Jun Kim, Chang D. Yoo
2025	A	`conf`	Policy Learning from Large Vision-Language Model Feedback Without Reward Modeling. IROS Tung Minh Luu, Donghoon Lee, Younghwan Lee, Chang D. Yoo
2025	J	`jnl`	Policy Learning from Large Vision-Language Model Feedback without Reward Modeling. CoRR Tung Minh Luu, Donghoon Lee, Younghwan Lee, Chang D. Yoo
2025	Misc	`conf`	Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning. ICASSP Younghwan Lee, Tung Minh Luu, Donghoon Lee, Chang D. Yoo
2025	J	`jnl`	Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning. CoRR Younghwan Lee, Tung Minh Luu, Donghoon Lee, Chang D. Yoo
2025	Misc	`conf`	Sample Efficient Reinforcement Learning via Large Vision Language Model Distillation. ICASSP Donghoon Lee, Tung Minh Luu, Younghwan Lee, Chang D. Yoo
2025	J	`jnl`	Sample Efficient Reinforcement Learning via Large Vision Language Model Distillation. CoRR Donghoon Lee, Tung Minh Luu, Younghwan Lee, Chang D. Yoo
2024	A	`conf`	Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization. IROS Tung Minh Luu, Thanh Nguyen, Tee Joshua Tian Jin, Sungwoon Kim, Chang D. Yoo
2024	J	`jnl`	Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization. CoRR Tung Minh Luu, Thanh Nguyen, Tee Joshua Tian Jin, Sungwoon Kim, Chang D. Yoo
2024	J	`jnl`	On the Perturbed States for Transformed Input-robust Reinforcement Learning. CoRR Tung Minh Luu, Haeyong Kang, Tri Ton, Thanh Nguyen, Chang D. Yoo
2024	A	`conf`	Predictive Coding for Decision Transformer. IROS Tung Minh Luu, Donghoon Lee, Chang D. Yoo
2024	J	`jnl`	Predictive Coding for Decision Transformer. CoRR Tung Minh Luu, Donghoon Lee, Chang D. Yoo
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`	Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses. ICPRAI (2) Thanh Nguyen, Tung Minh Luu, Tri Ton, Chang D. Yoo
2024	J	`jnl`	Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses. CoRR Thanh Xuan Nguyen, Tung Minh Luu, Tri Ton, Chang D. Yoo
2024	J	`jnl`	Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning. IEEE Access Thanh Xuan Nguyen, Tung Minh Luu, Tri Ton, Sungwoong Kim, Chang D. Yoo
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`	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	J	`jnl`	Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment. IEEE Access Tung Minh Luu, Chang D. Yoo
2021	J	`jnl`	Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment. CoRR Tung Minh Luu, Chang D. Yoo
2021	J	`jnl`	Robust MAML: Prioritization task buffer with adaptive learning process for model-agnostic meta-learning. CoRR Thanh Xuan Nguyen, Tung Minh Luu, Trung X. Pham, Sanzhar Rakhimkul, Chang Dong Yoo
2021	Misc	`conf`	Robust Maml: Prioritization Task Buffer with Adaptive Learning Process for Model-Agnostic Meta-Learning. ICASSP Thanh Xuan Nguyen, Tung Minh Luu, Trung X. Pham, Sanzhar Rakhimkul, 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
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`	PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. ECCV Workshops (5) 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
2018	J	`jnl`	PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. CoRR 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
2018	—	`conf`	Perception-Enhanced Image Super-Resolution via Relativistic Generative Adversarial Networks. ECCV Workshops (5) Thang Vu, Tung Minh Luu, Chang D. Yoo