Informative Data Selection with Uncertainty for Multi-modal Object Detection

no code implementations • 23 Apr 2023 • Xinyu Zhang, Zhiwei Li, Zhenhong Zou, Xin Gao, Yijin Xiong, Dafeng Jin, Jun Li, Huaping Liu

To quantify the correlation in multi-modal information, we model the uncertainty, as the inverse of data information, in different modalities and embed it in the bounding box generation.

Informativeness object-detection +1

Efficient Urban-scale Point Clouds Segmentation with BEV Projection

1 code implementation • 19 Sep 2021 • Zhenhong Zou, Yizhe Li

To demonstrate the benefits of our method, we conduct various experiments on the SensatUrban dataset, in which our model presents competitive evaluation results (61. 17% mIoU and 91. 37% OverallAccuracy).

3D Semantic Segmentation Segmentation

A novel multimodal fusion network based on a joint coding model for lane line segmentation

no code implementations • 20 Mar 2021 • Zhenhong Zou, Xinyu Zhang, Huaping Liu, Zhiwei Li, Amir Hussain, Jun Li

There has recently been growing interest in utilizing multimodal sensors to achieve robust lane line segmentation.

Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization

2 code implementations • 1 Dec 2019 • Yuchen Guo, Nicholas Hanoian, Zhexiao Lin, Nicholas Liskij, Hanbaek Lyu, Deanna Needell, Jiahao Qu, Henry Sojico, Yuliang Wang, Zhe Xiong, Zhenhong Zou

We propose a novel model for a topic-aware chatbot by combining the traditional Recurrent Neural Network (RNN) encoder-decoder model with a topic attention layer based on Nonnegative Matrix Factorization (NMF).

Chatbot