Search Results for author: Qiang Meng

Found 14 papers, 5 papers with code

DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing

no code implementations14 Nov 2024 Junjie Zhou, Lin Wang, Qiang Meng, Xiaofan Wang

Generating realistic and diverse road scenarios is essential for autonomous vehicle testing and validation.

Autonomous Vehicles Denoising

OPUS: Occupancy Prediction Using a Sparse Set

1 code implementation14 Sep 2024 Jiabao Wang, Zhaojiang Liu, Qiang Meng, Liujiang Yan, Ke Wang, Jie Yang, Wei Liu, Qibin Hou, Ming-Ming Cheng

Mainstream occupancy prediction works first discretize the 3D environment into voxels, then perform classification on such dense grids.

Autonomous Driving Prediction

Towards Stable 3D Object Detection

no code implementations5 Jul 2024 Jiabao Wang, Qiang Meng, Guochao Liu, Liujiang Yan, Ke Wang, Ming-Ming Cheng, Qibin Hou

In autonomous driving, the temporal stability of 3D object detection greatly impacts the driving safety.

3D Object Detection Autonomous Driving +3

Exploring Key Factors for Long-Term Vessel Incident Risk Prediction

no code implementations30 May 2024 Tianyi Chen, Hua Wang, Yutong Cai, Maohan Liang, Qiang Meng

Most previous studies conduct factor analysis within the framework of incident-related label prediction, where the developed models can be categorized into short-term and long-term prediction models.

feature selection Management +1

Sidewalk-based bicycle path network design incorporating equity in cycling time

no code implementations Computer-Aided Civil and Infrastructure Engineering 2024 Yutong Cai, Ghim Ping Ong, Qiang Meng

The output will be a subset of the sidewalk links chosen to be converted to eligible bicycle paths with minimum cost such that all origin–destination (O-D) pairs are connected with bicycle paths and cyclists from each O-D pair can enjoy similar degrees of equity.

Small, Versatile and Mighty: A Range-View Perception Framework

no code implementations1 Mar 2024 Qiang Meng, Xiao Wang, Jiabao Wang, Liujiang Yan, Ke Wang

Our proposed Small, Versatile, and Mighty (SVM) network utilizes a pure convolutional architecture to fully unleash the efficiency and multi-tasking potentials of the range view representation.

Panoptic Segmentation

Curricular Object Manipulation in LiDAR-based Object Detection

1 code implementation CVPR 2023 Ziyue Zhu, Qiang Meng, Xiao Wang, Ke Wang, Liujiang Yan, Jian Yang

For the loss design, we propose the COMLoss to dynamically predict object-level difficulties and emphasize objects of different difficulties based on training stages.

3D Object Detection Object +1

Towards Privacy-Preserving, Real-Time and Lossless Feature Matching

1 code implementation30 Jul 2022 Qiang Meng, Feng Zhou

Given limited public projects in this field, codes of our method and implemented baselines are made open-source in https://github. com/IrvingMeng/SecureVector.

Face Recognition Image Retrieval +3

Basket-based Softmax

no code implementations23 Jan 2022 Qiang Meng, Xinqian Gu, Xiaqing Xu, Feng Zhou

Experimentally, we demonstrate the efficiency and superiority of the BBS on the tasks of face recognition and re-identification, with both simulated and real-world datasets.

Face Recognition

Learning Compatible Embeddings

1 code implementation ICCV 2021 Qiang Meng, Chixiang Zhang, Xiaoqiang Xu, Feng Zhou

Achieving backward compatibility when rolling out new models can highly reduce costs or even bypass feature re-encoding of existing gallery images for in-production visual retrieval systems.

Knowledge Distillation Retrieval

PoseFace: Pose-Invariant Features and Pose-Adaptive Loss for Face Recognition

no code implementations25 Jul 2021 Qiang Meng, Xiaqing Xu, Xiaobo Wang, Yang Qian, Yunxiao Qin, Zezheng Wang, Chenxu Zhao, Feng Zhou, Zhen Lei

Despite the great success achieved by deep learning methods in face recognition, severe performance drops are observed for large pose variations in unconstrained environments (e. g., in cases of surveillance and photo-tagging).

Face Recognition

MagFace: A Universal Representation for Face Recognition and Quality Assessment

2 code implementations CVPR 2021 Qiang Meng, Shichao Zhao, Zhida Huang, Feng Zhou

This paper proposes MagFace, a category of losses that learn a universal feature embedding whose magnitude can measure the quality of the given face.

 Ranked #1 on Face Verification on IJB-C (training dataset metric)

Clustering Face Quality Assessement +1

Searching for Alignment in Face Recognition

no code implementations10 Feb 2021 Xiaqing Xu, Qiang Meng, Yunxiao Qin, Jianzhu Guo, Chenxu Zhao, Feng Zhou, Zhen Lei

A standard pipeline of current face recognition frameworks consists of four individual steps: locating a face with a rough bounding box and several fiducial landmarks, aligning the face image using a pre-defined template, extracting representations and comparing.

Face Alignment Face Detection +2

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