Tung Minh Luu

According to our database, Tung Minh Luu authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scalable SoftGroup for 3D Instance Segmentation on Point Clouds.

Thang Vu, Kookhoi Kim, Thanh Xuan Nguyen, Tung Minh Luu, Junyeong Kim, Chang D. Yoo

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

2023

DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning.

Thanh Xuan Nguyen, Trung Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo

CoRR, 2023

DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning.

Thanh Xuan Nguyen, Trung Xuan Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo

IEEE Access, 2023

2022

Visual Pretraining via Contrastive Predictive Model for Pixel-Based Reinforcement Learning.

Tung Minh Luu, Thang Vu, Thanh Xuan Nguyen, Chang D. Yoo

Sensors, 2022

SoftGroup++: Scalable 3D Instance Segmentation with Octree Pyramid Grouping.

Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Xuan Nguyen, Junyeong Kim, Chang D. Yoo

CoRR, 2022

SoftGroup for 3D Instance Segmentation on Point Clouds.

Thang Vu, Kookhoi Kim, Tung Minh Luu, Xuan Thanh Nguyen, Chang D. Yoo

CoRR, 2022

Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning.

Tung Minh Luu, Thanh Xuan Nguyen, Thang Vu, Chang D. Yoo

IEEE Access, 2022

SoftGroup for 3D Instance Segmentation on Point Clouds.

Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Xuan Nguyen, Chang D. Yoo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment.

Tung Minh Luu, Chang D. Yoo

IEEE Access, 2021

Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model.

Thanh Xuan Nguyen, Tung Minh Luu, Thang Vu, Chang D. Yoo

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

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

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

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

Proceedings of the IEEE International Conference on Acoustics, 2021

2018

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

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Perception-Enhanced Image Super-Resolution via Relativistic Generative Adversarial Networks.

Thang Vu, Tung Minh Luu, Chang D. Yoo

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

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

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018