Search Results for author: Zhiwei Li

Found 24 papers, 7 papers with code

Unified End-to-End V2X Cooperative Autonomous Driving

no code implementations7 May 2024 Zhiwei Li, Bozhen Zhang, Lei Yang, Tianyu Shen, Nuo Xu, Ruosen Hao, Weiting Li, Tao Yan, Huaping Liu

V2X cooperation, through the integration of sensor data from both vehicles and infrastructure, is considered a pivotal approach to advancing autonomous driving technology.

Autonomous Driving motion prediction

SGV3D:Towards Scenario Generalization for Vision-based Roadside 3D Object Detection

1 code implementation29 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.

3D Object Detection Autonomous Vehicles +1

Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous Driving

1 code implementation11 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.

3D Object Detection Autonomous Driving +1

SkipcrossNets: Adaptive Skip-cross Fusion for Road Detection

no code implementations24 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.

Autonomous Driving

Informative Data Selection with Uncertainty for Multi-modal Object Detection

no code implementations23 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

Federated Recommendation with Additive Personalization

1 code implementation22 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.

Federated Learning Recommendation Systems

CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking with Camera-LiDAR Fusion

no code implementations6 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.

3D Multi-Object Tracking Autonomous Driving +2

A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasets

1 code implementation19 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.

Dialogue Act Classification Dialogue Understanding +4

Incomplete Multi-View Weak-Label Learning with Noisy Features and Imbalanced Labels

2 code implementations4 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.

Multi-Label Learning

IPS300+: a Challenging Multimodal Dataset for Intersection Perception System

no code implementations5 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.

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

no code implementations20 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.

High Precision Medicine Bottles Vision Online Inspection System and Classification Based on Multi-Features and Ensemble Learning via Independence Test

no code implementations5 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.

Ensemble Learning

An Urban Water Extraction Method Combining Deep Learning and Google Earth Engine

no code implementations23 Dec 2019 Yudie Wang, Zhiwei Li, Chao Zeng, Gui-Song Xia, Huanfeng Shen

In this paper, we proposed a new method to combine Google Earth Engine (GEE) with multiscale convolutional neural network (MSCNN) to extract urban water from Landsat images, which is summarized as offline training and online prediction (OTOP).

Change Detection Management

Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching

2 code implementations9 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.

Disparity Estimation regression +2

Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors

no code implementations13 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.

Cloud Detection

DenseASPP for Semantic Segmentation in Street Scenes

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.

Autonomous Driving Image Segmentation +2

Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery

no code implementations17 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.

Cloud Detection Earth Observation +1

Joint Multiview Segmentation and Localization of RGB-D Images Using Depth-Induced Silhouette Consistency

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.

Camera Localization Image Segmentation +2

Query Adaptive Similarity Measure for RGB-D Object Recognition

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.

Object Object Recognition

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