Kim Steenstrup Pedersen

Kim Steenstrup Pedersen

Sektionsleder, Professor

ORCID: 0000-0003-3713-0960

Kommentarer til publikationsliste

Best paper award at the 3DPVT 2010 conference for the paper “On Recall Rate of Interest Point Detectors”. Henrik Aanæs, Anders Dahl and Kim Steenstrup Pedersen.
Udgivelsesår:
Alle
31 - 40 ud af 79Pr. side: 10
Sortering: 1. forfatter
  1. Udgivet

    Absolute and Relative Pose Estimation in Refractive Multi View

    Hu, X., Lauze, Francois Bernard, Steenstrup Pedersen, Kim & Melou, J., 2021, Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). IEEE, s. 2569-2578

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  2. Udgivet

    Rove-Tree-11: The Not-so-Wild Rover a Hierarchically Structured Image Dataset for Deep Metric Learning Research

    Hunt, Roberta Eleanor & Steenstrup Pedersen, Kim, 2023, Computer Vision – ACCV 2022 - 16th Asian Conference on Computer Vision, Proceedings. Wang, L., Gall, J., Chin, T-J., Sato, I. & Chellappa, R. (red.). Springer, s. 425-441 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13845 LNCS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  3. Udgivet

    Rove-Tree-11: The not-so-Wild Rover. A hierarchically structured image dataset for deep metric learning research

    Hunt, Roberta Eleanor & Steenstrup Pedersen, Kim, 2023, Computer Vision – ACCV 2022: 16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Proceedings, Part I. Springer, s. 2967-2983 (Lecture Notes in Computer Science, Bind 13841).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  4. Generalized Context Learning

    Johansen, P. & Steenstrup Pedersen, Kim, 2003, Proceedings fra den 12. Danske Konference om Mønstergenkendelse og Billedbehandling. 03/06 udg. Department of Computer Science, University of Copenhagen, s. 82-92

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning

  5. Udgivet

    Deep Learning for Detection of Railway Signs and Signals

    Karagiannis, G., Olsen, Søren Ingvor & Steenstrup Pedersen, Kim, 2020, Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference, CVC 2019, Las Vegas, Nevada, USA, 25-26 April 2019. Arai, K. & Kapoor, S. (red.). Springer, s. 1-15 (Advances in Intelligent Systems and Computing, Bind 943).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  6. Detecting Interlaced or Progressive Source of Video

    Keller, S. H., Steenstrup Pedersen, Kim & Lauze, F., 2005, IEEE 7th Workshop on Multimedia Signal Processing. IEEE Signal Processing Society, s. 181-184

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  7. Udgivet

    Image Analysis: 15th Scandinavian Conference, SCIA 2007, Aalborg, Denmark, June 10-14, 2007

    Kjær Ersbøll, B. (red.) & Steenstrup Pedersen, Kim (red.), 2007, Berlin / Heidelberg: Springer. 1005 s. (Lecture notes in computer science; Nr. 4522).

    Publikation: Bog/antologi/afhandling/rapport › Bog › Forskning › fagfællebedømt

  8. Udgivet

    Preface

    Kjær Ersbøll, B. & Steenstrup Pedersen, Kim, 2007, Image Analysis: 15th Scandinavian Conference, SCIA 2007, Aalborg, Denmark, June 10-14, 2007. Kjær Ersbøll, B. & Steenstrup Pedersen, K. (red.). Berlin / Heidelberg: Springer, 1 s. (Lecture notes in computer science; Nr. 4522).

    Publikation: Bidrag til bog/antologi/rapport › Forord/efterskrift › Forskning

  9. Udgivet

    A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation

    Kouw, W. M., Ørting, S. N., Petersen, Jens, Steenstrup Pedersen, Kim & de Bruijne, Marleen, 1 jan. 2019, Information Processing in Medical Imaging : 26th International Conference, IPMI 2019, Proceedings. Bao, S., Chung, A. C. S., Gee, J. C. & Yushkevich, P. A. (red.). Springer, s. 360-371 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11492 LNCS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  10. Udgivet

    Big universe, big data: machine learning and image analysis for astronomy

    Kremer, J., Stensbo-Smidt, K., Gieseke, Fabian Cristian, Steenstrup Pedersen, Kim & Igel, Christian, 2017, I: IEEE Intelligent Systems. 32, 2, s. 16-22 7 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Forrige 1 2 3 4 5 6 7 8 Næste

ID: 545595