Tung Minh Luu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
6
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICASSP | Sample Efficient Reinforcement Learning via Large Vision Language Model Distillation. | Donghoon Lee, Tung Minh Luu, Younghwan Lee, Chang D. Yoo |
| 2025 | ICASSP | Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning. | Younghwan Lee, Tung Minh Luu, Donghoon Lee, Chang D. Yoo |
| 2025 | ICML | Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models. | Tung Minh Luu, Younghwan Lee, Donghoon Lee, Sunho Kim, Min Jun Kim, Chang D. Yoo |
| 2025 | IROS | Policy Learning from Large Vision-Language Model Feedback Without Reward Modeling. | Tung Minh Luu, Donghoon Lee, Younghwan Lee, Chang D. Yoo |
| 2024 | IROS | Predictive Coding for Decision Transformer. | Tung Minh Luu, Donghoon Lee, Chang D. Yoo |
| 2024 | IROS | Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization. | Tung Minh Luu, Thanh Nguyen, Joshua Tian Jin Tee, Sungwoon Kim, Chang D. Yoo |
| 2022 | CVPR | SoftGroup for 3D Instance Segmentation on Point Clouds. | Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Xuan Nguyen, Chang D. Yoo |
| 2021 | ICASSP | Robust Maml: Prioritization Task Buffer with Adaptive Learning Process for Model-Agnostic Meta-Learning. | Thanh Xuan Nguyen, Tung Minh Luu, Trung X. Pham, Sanzhar Rakhimkul, Chang D. Yoo |
| 2021 | ICIP | Sphererpn: Learning Spheres For High-Quality Region Proposals On 3d Point Clouds Object Detection. | Thang Vu, Kookhoi Kim, Haeyong Kang, Xuan Thanh Nguyen, Tung Minh Luu, Chang D. Yoo |
| 2021 | IROS | Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model. | Thanh Xuan Nguyen, Tung Minh Luu, Thang Vu, Chang D. Yoo |
| 2018 | ECCV | PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. | 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 | ECCV | Perception-Enhanced Image Super-Resolution via Relativistic Generative Adversarial Networks. | Thang Vu, Tung Minh Luu, Chang D. Yoo |
| 2018 | ECCV | Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks. | Thang Vu, Cao Van Nguyen, Trung X. Pham, Tung Minh Luu, Chang D. Yoo |