Zongming Yang — accepted AI-conference papers

2023

FourStr: When Multi-sensor Fusion Meets Semi-supervised Learning

Bangquan Xie, Liang Yang, Zongming Yang, Ailin Wei, Xiaoxiong Weng, Bing Li

ICRA 2023poster

This research proposes a novel semi-supervised learning framework FourStr (Four-Stream formed by two two-stream models) that focuses on the improvement of fusion and labeling efficiency for 3D multi-sensor detector. FourStr adopts a multi-sensor single-stage detector named adaptive fusion network (A…

Cited by 1 Source ↗Scholar ↗

2022

FocusTR: Focusing on Valuable Feature by Multiple Transformers for Fusing Feature Pyramid on Object Detection

Bangquan Xie, Liang Yang, Zongming Yang, Ailin Wei, Xiaoxiong Weng, Bing Li

IROS 2022poster

The feature pyramid, which is a vital component of the convolutional neural networks, plays a significant role in several perception tasks, including object detection for autonomous driving. However, how to better fuse multi-level and multi-sensor feature pyramids is still a significant challenge, e…

Cited by 3 Source ↗Scholar ↗