Search Results for author: Tung M. Luu

Found 5 papers, 5 papers with code

Scalable SoftGroup for 3D Instance Segmentation on Point Clouds

1 code implementation17 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.

3D Instance Segmentation object-detection +3

Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment

1 code implementation28 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.

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

1 code implementation15 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.

Contrastive Learning Data Augmentation +3

Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks

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.

Image Enhancement Image Super-Resolution

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