Forskningsoutput per år
Forskningsoutput per år
Personlig profil
Forskning
Working on methods in Computer Vision and Machine Learning, applied to navigation, localization and 3D recontruction.
Fingeravtryck
Utforska forskningsämnen där Magnus Oskarsson är aktiv. Dessa ämnesetiketter kommer från personens arbeten. Tillsammans bildar de ett unikt fingeravtryck.
- 1 Liknande profiler
Nätverk
Externa samarbeten med länder/områden de senaste 5 åren
Forskningsoutput
-
Detailed 3D human body reconstruction from multi-view images combining voxel super-resolution and learned implicit representation
Li, Z., Oskarsson, M. & Heyden, A., 2022, I: Applied Intelligence. 52, 6, s. 6739-6759Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review
Öppen tillgång -
Extending GCC-PHAT using Shift Equivariant Neural Networks
Berg, A., O'Connor, M., Åström, K. & Oskarsson, M., 2022, Proceedings of the Annual Conference of the International Speech Communication Association 2022. ISCA, s. 1791-1795 5 s. (Interspeech).Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review
Öppen tillgång -
Fast and efficient minimal solvers for quadric based camera pose estimation
Gummeson, A., Engman, J., Astrom, K. & Oskarsson, M., 2022, 2022 26th International Conference on Pattern Recognition, ICPR 2022. IEEE - Institute of Electrical and Electronics Engineers Inc., s. 3973-3979 7 s.Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review
-
Multiple Offsets Multilateration: A New Paradigm for Sensor Network Calibration with Unsynchronized Reference Nodes
Ferranti, L., Aström, K., Oskarsson, M., Boutellier, J. & Kannala, J., 2022, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. IEEE - Institute of Electrical and Electronics Engineers Inc., s. 4958-4962 5 s. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2022-May).Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review
-
Points to patches: Enabling the use of self-attention for 3D shape recognition
Berg, A., Oskarsson, M. & O'Connor, M., 2022 aug. 21, 2022 26th International Conference on Pattern Recognition (ICPR). IEEE - Institute of Electrical and Electronics Engineers Inc., s. 528-534 7 s. (International Conference on Pattern Recognition).Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review
Öppen tillgång
-
Spatiotemporal Consistency in Rendering and Deep Learning
Ebelin, P., Åström, K., Akenine-Möller, T. & Oskarsson, M.
2019/08/01 → 2024/07/31
Projekt: Avhandling
-
Deep Learning for Simultaneous Localization and Mapping
Berg, A., Oskarsson, M., Åström, K. & O'Connor, M.
2019/02/01 → 2024/02/01
Projekt: Avhandling
-
Mapping and localization using radio and sensors
Larsson, M., Oskarsson, M. & Åström, K.
2017/10/02 → …
Projekt: Avhandling