Careful at Estimation and Bold at Exploration

no code implementations • 22 Aug 2023 • Xing Chen, Yijun Liu, Zhaogeng Liu, Hechang Chen, Hengshuai Yao, Yi Chang

In prior work, it has been shown that policy-based exploration is beneficial for continuous action space in deterministic policy reinforcement learning(DPRL).

Stereo RGB and Deeper LIDAR Based Network for 3D Object Detection

no code implementations • 9 Jun 2020 • Qingdong He, Zhengning Wang, Hao Zeng, Yijun Liu, Shuaicheng Liu, Bing Zeng

After aligning the interior points with fused features, the proposed network refines the prediction in a more accurate manner and encodes the whole box in a novel compact method.

3D Object Detection Autonomous Driving +1

SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds

no code implementations • 7 Jun 2020 • Qingdong He, Zhengning Wang, Hao Zeng, Yi Zeng, Yijun Liu

Accurate 3D object detection from point clouds has become a crucial component in autonomous driving.

3D Object Detection Autonomous Driving +3

A Distributed Fair Machine Learning Framework with Private Demographic Data Protection

1 code implementation • 17 Sep 2019 • Hui Hu, Yijun Liu, Zhen Wang, Chao Lan

In this paper, we propose a distributed fair learning framework for protecting the privacy of demographic data.

BIG-bench Machine Learning Fairness