Liu Liu

所属机构. 博士生@上海交通大学.

prof_pic.jpg

这张照片拍摄于六年前,记录我还有头发时的样子.

E-Mail Address: robotics_qi ^AT sjtu.edu.cn

I am Qi Wu(吴奇- in Chinese, Pronounce), a member of the Paopao SLAM robot team, currently pursuing a Ph.D. degree at Shanghai Jiao Tong University, focusing on the research of SLAM algorithms that integrate various sensor technologies. I have a strong interest in combining new types of sensors (such as 360-degree cameras and millimeter-wave radar) and exploring implicit three-dimensional reconstruction algorithms like NeRF etc. My doctoral journey is under the guidance of Prof. Wenxian Yu and Prof. Ling Pei and meanwhile, I worked closely with Prof. Xieyuanli Chen. Previously, I obtained my master’s degree from Beijing University of Posts and Telecommunications, under the mentorship of Jiao Jichao and Deng Zhongliang; and I completed my undergraduate degree at Chongqing University of Posts and Telecommunications, guided by Professor Mu Zhou, who introduced me to localization researching area.

I hope my blog will be a valuable tool for any scholar or practitioner in the field of localization and mapping. I hope my blog can help researchers swiftly identify the shortcomings of each proposed technique, with the many new proposed systems appearing every day. If you have a great passion for these research areas or have expertise in related areas, I would love to have a connect with you. Please feel free to send me a email.

news

31 Jan 2024 Our work has been accepted by the ICCV(International Conference on Computer Vision)(Co-First Author). ! :sparkles: :smile:
15 Dec 2023 Our work has been accepted by the TIE(Transactions on Industrial Electronics). ! :sparkles: :smile:
16 Aug 2023 Our work has been accepted by the CVPR(IEEE/CVF Conference on Computer Vision and Pattern Recognition). ! :sparkles: :smile:

selected publications

  1. KPA-Tracker.png
    KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking
    Liu Liu ,  Anran Huang ,  Qi Wu , and 3 more authors
    In aaai , 2024
  2. DynaIP.png
    Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial Sensors
    Yu Zhang* ,  Songpengcheng Xia* ,  Lei Chu , and 3 more authors
    IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024
  3. 360-VIO.png
    360-VIO: A Robust Visual–Inertial Odometry Using a 360° Camera
    Qi Wu ,  Xiangyu Xu ,  Xieyuanli Chen , and 7 more authors
    IEEE Transactions on Industrial Electronics, 2023
  4. NERF-LOAM.png
    Nerf-loam: Neural implicit representation for large-scale incremental lidar odometry and mapping
    Junyuan Deng* ,  Qi Wu* ,  Xieyuanli Chen , and 5 more authors
    In iccv , 2023