no code implementations • 21 Mar 2024 • Yun-Jin Li, Mariia Gladkova, Yan Xia, Rui Wang, Daniel Cremers
Recent works on the global place recognition treat the task as a retrieval problem, where an off-the-shelf global descriptor is commonly designed in image-based and LiDAR-based modalities.
no code implementations • 13 Mar 2024 • Abhishek Saroha, Mariia Gladkova, Cecilia Curreli, Tarun Yenamandra, Daniel Cremers
Scene stylization extends the work of neural style transfer to three spatial dimensions.
no code implementations • 16 Aug 2023 • Jiaxin Pan, Changyao Zhou, Mariia Gladkova, Qadeer Khan, Daniel Cremers
In this work, we present a learning method for lateral and longitudinal motion control of an ego-vehicle for vehicle pursuit.
1 code implementation • ICCV 2023 • Yan Xia, Mariia Gladkova, Rui Wang, Qianyun Li, Uwe Stilla, João F. Henriques, Daniel Cremers
CASSPR uses queries from one branch to try to match structures in the other branch, ensuring that both extract self-contained descriptors of the point cloud (rather than one branch dominating), but using both to inform the output global descriptor of the point cloud.
no code implementations • 29 Sep 2022 • Mariia Gladkova, Nikita Korobov, Nikolaus Demmel, Aljoša Ošep, Laura Leal-Taixé, Daniel Cremers
Direct methods have shown excellent performance in the applications of visual odometry and SLAM.
no code implementations • 1 Feb 2021 • Mariia Gladkova, Rui Wang, Niclas Zeller, Daniel Cremers
To achieve map-based relocalization for direct methods, we integrate image features into Direct Sparse Odometry (DSO) and rely on feature matching to associate online visual odometry (VO) with a previously built map.