1 code implementation • 17 Sep 2022 • Thang Vu, Kookhoi Kim, Tung M. Luu, Thanh Nguyen, Junyeong Kim, Chang D. Yoo
Furthermore, SoftGroup can be extended to perform object detection and panoptic segmentation with nontrivial improvements over existing methods.
1 code implementation • CVPR 2022 • Thang Vu, Kookhoi Kim, Tung M. Luu, Xuan Thanh Nguyen, Chang D. Yoo
The hard predictions are made when performing semantic segmentation such that each point is associated with a single class.
Ranked #3 on 3D Instance Segmentation on STPLS3D
1 code implementation • 28 Oct 2021 • Tung M. Luu, Chang D. Yoo
The actual sampling for large TD error is performed in two steps: first, an episode is sampled from the relay buffer according to the average TD error of its experiences, and then, for the sampled episode, the hindsight goal leading to larger TD error is sampled with higher probability from future visited states.
1 code implementation • 15 Mar 2021 • Thanh Nguyen, Tung M. Luu, Thang Vu, Chang D. Yoo
Developing an agent in reinforcement learning (RL) that is capable of performing complex control tasks directly from high-dimensional observation such as raw pixels is yet a challenge as efforts are made towards improving sample efficiency and generalization.
1 code implementation • ECCV2018 2018 • Thang Vu, Cao V. Nguyen, Trung X. Pham, Tung M. Luu, Chang D. Yoo
This paper considers a convolutional neural network for image quality enhancement referred to as the fast and efficient quality enhancement (FEQE) that can be trained for either image super-resolution or image enhancement to provide accurate yet visually pleasing images on mobile devices by addressing the following three main issues.