no code implementations • 3 May 2024 • Yingshuang Zou, Yikang Ding, Xi Qiu, Haoqian Wang, Haotian Zhang
This paper presents a novel self-supervised two-frame multi-camera metric depth estimation network, termed M${^2}$Depth, which is designed to predict reliable scale-aware surrounding depth in autonomous driving.
2 code implementations • ICCV 2023 • Wenjie Ding, Limeng Qiao, Xi Qiu, Chi Zhang
Furthermore, to supervise the position and topology of the vectorized point predictions, we propose a dynamic vectorized sequence loss.
2 code implementations • 17 Jun 2023 • Limeng Qiao, Yongchao Zheng, Peng Zhang, Wenjie Ding, Xi Qiu, Xing Wei, Chi Zhang
This report introduces the 1st place winning solution for the Autonomous Driving Challenge 2023 - Online HD-map Construction.
1 code implementation • CVPR 2023 • Limeng Qiao, Wenjie Ding, Xi Qiu, Chi Zhang
Vectorized high-definition map (HD-map) construction, which focuses on the perception of centimeter-level environmental information, has attracted significant research interest in the autonomous driving community.
no code implementations • 23 Apr 2022 • Boshu Lei, Wenjie Ding, Limeng Qiao, Xi Qiu
Visual place retrieval aims to search images in the database that depict similar places as the query image.
1 code implementation • ICCV 2021 • Ziqi Zhou, Xi Qiu, Jiangtao Xie, Jianan Wu, Chi Zhang
From the perspective of class space on base set, existing methods either focus on utilizing all classes under a global view by normal pretraining, or pay more attention to adopt an episodic manner to train meta-tasks within few classes in a local view.
1 code implementation • ICCV 2021 • Limeng Qiao, Yuxuan Zhao, Zhiyuan Li, Xi Qiu, Jianan Wu, Chi Zhang
Few-shot object detection, which aims at detecting novel objects rapidly from extremely few annotated examples of previously unseen classes, has attracted significant research interest in the community.
Ranked #4 on Few-Shot Object Detection on MS-COCO (1-shot)
1 code implementation • CVPR 2021 • Yifan Sun, Yuke Zhu, Yuhan Zhang, Pengkun Zheng, Xi Qiu, Chi Zhang, Yichen Wei
%We argue that such flexibility is also important for deep metric learning, because different visual concepts indeed correspond to different semantic scales.
Ranked #2 on Metric Learning on DyML-Animal
no code implementations • CVPR 2020 • Yanru Huang, Feiyu Zhu, Zheni Zeng, Xi Qiu, Yuan Shen, Jia-Nan Wu
We present a novel self quality evaluation metric SQE for parameters optimization in the challenging yet critical multi-object tracking task.
no code implementations • 15 May 2014 • Xi Qiu, Christopher Stewart
Our topic words analysis project is a SNA method to visualize the topic words among emails from Obama. com to accounts registered in Columbus, Ohio.