Qingqiu Huang
Leader of Obstacle Detection Team
ADS, IAS BU, Huawei
huangqingqiu@huawei.com
About Me
Qingqiu Huang is now the leader of Obstacle Detection Team of ADS, IAS BU of Huawei. The team's interests include object detection, motion estimation and tracking, sensor fusion, occupancy network, sensor anomaly detection etc. He received his Ph.D. degree in Multi-Media Lab, The Chinese University of Hong Kong in 2020, supervised by Prof. Dahua Lin. He got his bachelor’s degrees of Automation in Tsinghua University in 2016. His research interests include but not limit to Computer Vision, Deep Learning and Autonomous Driving.
Experience
ADS, IAS BU, Huawei Technology
Aug. 2020 - current
Leader of Obstacle Detection Team
Education
The Chinese University of Hong Kong
Aug. 2016 - July 2020
Ph.D. of Information Engineering
Tsinghua University
Aug 2012 - July 2016
B.S. of Automation
News
Aug. 2023
One paper accepted at ICCV 2023.
May 2023
One paper accepted at CVPR 2023.
April 2023
Huawei ADS 2.0 Launched!
May 2022
One paper accepted at CVPR 2022.
May 2021
One paper accepted at CVPR 2021.
Aug. 2020
I have joined ADS, IAS BU of Huawei.
July 2020
MovieNet Released!
July 2020
Seven papers accepted at ECCV 2020.
May 2020
One paper accepted at CVPR 2020.
July 2019
One paper accepted (oral) at ICCV 2019.
May 2019
We organize WIDER Face and Person Challenge 2019 in conjunction with ICCV 2019. There are four exciting tracks with great prizes! And we call for papers this year!
Feb. 2019
Report of WIDER 2018 is now released!
July 2018
Two papers accepted at ECCV 2018.
May 2018
We organize a new challenge WIDER Face and Pedestrian Challenge 2018 in conjunction with ECCV 2018. There are three exciting tracks with great prizes! Deadline of challenge: July 18, 2018.
Feb. 2018
One paper accepted at CVPR 2018.
Publications
TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers
Xuyang Bai, Zeyu Hu, Xinge Zhu, Qingqiu Huang, Yilun Chen, Hongbo Fu, Chiew-Lan Tai
Computer Vision and Pattern Recognition (CVPR), 2022
Paper Code
MovieNet: A Holistic Dataset for Movie Understanding
Qingqiu Huang*, Yu Xiong*, Anyi Rao, Jiaze Wang, Dahua Lin
European Conference on Computer Vision, 2020
Paper Project
Caption-Supervised Face Recognition: Training a State-of-the-Art Face Model without Manual Annotation
Qingqiu Huang, Lei Yang, Huaiyi Huang, Tong Wu, Dahua Lin
European Conference on Computer Vision, 2020
Paper Project
A Unified Framework for Shot Type Classification Based on Subject Centric Lens
Anyi Rao, Jiaze Wang, Linning Xu, Xuekun Jiang, Qingqiu Huang, Bolei Zhou, Dahua Lin
European Conference on Computer Vision, 2020
Paper Project
Online Multi-modal Person Search in Videos
Jiangyue Xia, Anyi Rao, Qingqiu Huang, Linning Xu, Jiangtao Wen, Dahua Lin
European Conference on Computer Vision, 2020
Paper Project
Placepedia: Comprehensive Place Understanding with Multi-Faceted Annotations
Huaiyi Huang, Yuqi Zhang, Qingqiu Huang, Zhengkui Guo, Ziwei Liu, Dahua Lin
European Conference on Computer Vision, 2020
Paper Project
A Local-to-Global Approach to Multi-modal Movie Scene Segmentation
Anyi Rao, Linning Xu, Yu Xiong, Guodong Xu, Qingqiu Huang, Bolei Zhou, Dahua Lin
Computer Vision and Pattern Recognition (CVPR), 2020
Paper Project Demo
A Graph-Based Framework to Bridge Movies and Synopses
Yu Xiong, Qingqiu Huang, Lingfeng Guo, Hang Zhou, Bolei Zhou, Dahua Lin
International Conference on Computer Vision (ICCV), 2019
Paper Project
Person Search in Videos with One Portrait Through Visual and Temporal Links
Qingqiu Huang, Wentao Liu, Dahua Lin
European Conference on Computer Vision (ECCV), 2018
Paper Project Demo
Find and Focus: Retrieve and Localize Video Events with Natural Language Queries
Dian Shao*, Yu Xiong*, Yue Zhao, Qingqiu Huang, Yu Qiao, Dahua Lin
European Conference on Computer Vision (ECCV), 2018
Paper Project
Unifying Identification and Context Learning for Person Recognition
Qingqiu Huang, Yu Xiong, Dahua Lin
Computer Vision and Pattern Recognition (CVPR), 2018
Paper Project
From Trailers to Storylines: An Efficient Way to Learn from Movies
Qingqiu Huang, Yuanjun Xiong, Yu Xiong, Yuqi Zhang, Dahua Lin
Arxiv:1806.05341, 2018
Paper Demo