Research output per year
Research output per year
Personal profile
Education/Academic qualification
Master's degree, Engineering and Technology, Aalto University
Award Date: 30 Oct 2017
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Dive into the research topics where Xiaotian Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
- 6 Conference contribution
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Continual Learning for Image-Based Camera Localization
Wang, S., Laskar, Z., Melekhov, I., Li, X. & Kannala, J., 2022, 2021 International Conference on Computer Vision, ICCV. IEEE, p. 3232-3242 11 p. (IEEE International Conference on Computer Vision).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile6 Citations (Scopus)44 Downloads (Pure) -
Digging Into Self-Supervised Learning of Feature Descriptors
Melekhov, I., Laskar, Z., Li, X., Wang, S. & Kannala, J., Jan 2022, Proceedings - 2021 International Conference on 3D Vision, 3DV 2021. IEEE, p. 1144-1155 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile2 Citations (Scopus)49 Downloads (Pure) -
Can You Trust Your Pose? Confidence Estimation in Visual Localization
Ferranti, L., Li, X., Boutellier, J. & Kannala, J., 2020, Proceedings of ICPR 2020 - 25th International Conference on Pattern Recognition. IEEE, p. 5004-5011 9413234Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access1 Citation (Scopus) -
Hierarchical Scene Coordinate Classification and Regression for Visual Localization
Li, X., Wang, S., Zhao, Y., Verbeek, J. & Kannala, J., 1 Jun 2020, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, p. 11980-11989 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access45 Citations (Scopus) -
Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization
Li, X., Ylioinas, J., Verbeek, J. & Kannala, J., 2019, Computer Vision – ECCV 2018 Workshops: Munich, Germany, September 8-14, 2018, Proceedings, Part III. Springer, Vol. 3. p. 229-245 (Lecture Notes in Computer Science; vol. 11131).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
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REPEAT: Robust and Efficient PErception for Autonomous Things
Kannala, J., Ye, R., Boney, R., Li, X., Melekhov, I., Fang, J. & Zhang, Y.
01/01/2020 → 30/09/2023
Project: Academy of Finland: Other research funding
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Computational tomographic atomic force microscopy
Kannala, J., Laskar, Z., Li, X., Urtev, F., Wang, S., Zhao, Y., Ye, R. & Boney, R.
01/01/2018 → 31/12/2021
Project: Academy of Finland: Other research funding
Activities
- 1 Participant of a conference, workshop, session, tutorial or event
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European Conference on Computer Vision
Xiaotian Li (Member)
8 Sept 2018 → 14 Sept 2018Activity: Participating in or organising an event types › Participant of a conference, workshop, session, tutorial or event