1 code implementation • 29 Jan 2024 • Lei Yang, Xinyu Zhang, Jun Li, Li Wang, Chuang Zhang, Li Ju, Zhiwei Li, Yang shen
Our method surpasses all previous methods by a significant margin in new scenes, including +42. 57% for vehicle, +5. 87% for pedestrian, and +14. 89% for cyclist compared to BEVHeight on the DAIR-V2X-I heterologous benchmark.
1 code implementation • 11 Oct 2023 • Xinyu Zhang, Li Wang, Jian Chen, Cheng Fang, Lei Yang, Ziying Song, Guangqi Yang, Yichen Wang, Xiaofei Zhang, Jun Li, Zhiwei Li, Qingshan Yang, Zhenlin Zhang, Shuzhi Sam Ge
Compared with commonly used 3D radars, the latest 4D radars have precise vertical resolution and higher point cloud density, making it a highly promising sensor for autonomous driving in complex environmental perception.
no code implementations • 24 Aug 2023 • Xinyu Zhang, Yan Gong, Zhiwei Li, Xin Gao, Dafeng Jin, Jun Li, Huaping Liu
Multi-modal fusion is increasingly being used for autonomous driving tasks, as images from different modalities provide unique information for feature extraction.
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.
1 code implementation • 22 Jan 2023 • Zhiwei Li, Guodong Long, Tianyi Zhou
To address these challenges, we propose Federated Recommendation with Additive Personalization (FedRAP), which learns a global view of items via FL and a personalized view locally on each user.
no code implementations • 6 Sep 2022 • Li Wang, Xinyu Zhang, Wenyuan Qin, Xiaoyu Li, Lei Yang, Zhiwei Li, Lei Zhu, Hong Wang, Jun Li, Huaping Liu
As such, we propose a novel camera-LiDAR fusion 3D MOT framework based on the Combined Appearance-Motion Optimization (CAMO-MOT), which uses both camera and LiDAR data and significantly reduces tracking failures caused by occlusion and false detection.
1 code implementation • 19 Apr 2022 • Wei Chen, Zhiwei Li, Hongyi Fang, Qianyuan Yao, Cheng Zhong, Jianye Hao, Qi Zhang, Xuanjing Huang, Jiajie Peng, Zhongyu Wei
In recent years, interest has arisen in using machine learning to improve the efficiency of automatic medical consultation and enhance patient experience.
no code implementations • 28 Feb 2022 • Zhilong Liang, Zhiwei Li, Shuo Zhou, Yiwen Sun, ChangShui Zhang, Jinying Yuan
We present a brand-new and general machine learning method for material property prediction.
2 code implementations • 4 Jan 2022 • Zhiwei Li, Zijian Yang, Lu Sun, Mineichi Kudo, Kego Kimura
A variety of modern applications exhibit multi-view multi-label learning, where each sample has multi-view features, and multiple labels are correlated via common views.
no code implementations • 5 Jun 2021 • Huanan Wang, Xinyu Zhang, Jun Li, Zhiwei Li, Lei Yang, Shuyue Pan, Yongqiang Deng
Through an IPS (Intersection Perception System) installed at the diagonal of the intersection, this paper proposes a high-quality multimodal dataset for the intersection perception task.
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.
no code implementations • 5 Jan 2021 • Le Ma, Xiaoyue Wu, Zhiwei Li
To address the problem of online automatic inspection of drug liquid bottles in production line, an implantable visual inspection system is designed and the ensemble learning algorithm for detection is proposed based on multi-features fusion.
2 code implementations • 9 Sep 2019 • Youmin Zhang, Yimin Chen, Xiao Bai, Suihanjin Yu, Kun Yu, Zhiwei Li, Kuiyuan Yang
However, disparity is just a byproduct of a matching process modeled by cost volume, while indirectly learning cost volume driven by disparity regression is prone to overfitting since the cost volume is under constrained.
no code implementations • 13 Oct 2018 • Zhiwei Li, Huanfeng Shen, Qing Cheng, Yuhao Liu, Shucheng You, Zongyi He
In this paper, we propose a deep learning based cloud detection method named multi-scale convolutional feature fusion (MSCFF) for remote sensing images of different sensors.
1 code implementation • CVPR 2018 • Maoke Yang, Kun Yu, Chi Zhang, Zhiwei Li, Kuiyuan Yang
To this end, we propose Densely connected Atrous Spatial Pyramid Pooling (DenseASPP), which connects a set of atrous convolutional layers in a dense way, such that it generates multi-scale features that not only cover a larger scale range, but also cover that scale range densely, without significantly increasing the model size.
Ranked #5 on Semantic Segmentation on SkyScapes-Dense
no code implementations • 25 Jul 2017 • Chengyue Zhang, Zhiwei Li, Qing Cheng, Xinghua Li, Huanfeng Shen
Remote sensing images often suffer from cloud cover.
no code implementations • CVPR 2017 • Yanhua Cheng, Rui Cai, Zhiwei Li, Xin Zhao, Kaiqi Huang
This layer can learn to adjust the contributions of RGB and depth over each pixel for high-performance object recognition.
Ranked #79 on Semantic Segmentation on NYU Depth v2
no code implementations • 17 Jun 2016 • Zhiwei Li, Huanfeng Shen, Huifang Li, Gui-Song Xia, Paolo Gamba, Liangpei Zhang
In this paper, an automatic multi-feature combined (MFC) method is proposed for cloud and cloud shadow detection in GF-1 WFV imagery.
no code implementations • CVPR 2016 • Chi Zhang, Zhiwei Li, Rui Cai, Hongyang Chao, Yong Rui
In this paper, we propose an RGB-D camera localization approach which takes an effective geometry constraint, i. e. silhouette consistency, into consideration.
no code implementations • ICCV 2015 • Chi Zhang, Zhiwei Li, Yanhua Cheng, Rui Cai, Hongyang Chao, Yong Rui
We present a novel global stereo model designed for view interpolation.
no code implementations • ICCV 2015 • Yanhua Cheng, Rui Cai, Chi Zhang, Zhiwei Li, Xin Zhao, Kaiqi Huang, Yong Rui
The reasons are in two-fold: (1) existing similarity measures are sensitive to object pose and scale changes, as well as intra-class variations; and (2) effectively fusing RGB and depth cues is still an open problem.
no code implementations • CVPR 2013 • Qiang Hao, Rui Cai, Zhiwei Li, Lei Zhang, Yanwei Pang, Feng Wu, Yong Rui
3D model-based object recognition has been a noticeable research trend in recent years.