Martin Danelljan

Martin Danelljan

Researcher

CVL, ETH Zurich

Biography

I received my Ph.D. degree from Linköping University, Sweden in 2018. My thesis “Visual Tracking” was awarded the biennial Best Nordic Thesis Prize. I am a researcher in the Computer Vision Lab at ETH Zurich, Switzerland.

My main research interests are meta and online learning, deep probabilistic models, and generative methods. My research includes applications to visual tracking, video object segmentation, dense correspondence estimation, and super-resolution.

News:

  • One NeurIPS 2021 paper accepted as spotlight.
  • Six ICCV 2021 papers accepted incl. 2 orals.
  • One IROS 2021 paper accepted.
  • Four CVPR 2021 papers accepted incl. 2 orals.

Co-supervised PhD Students

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Prune Truong

PhD Student, ETH Zurich

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Goutam Bhat

PhD Student, ETH Zurich

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Andreas Lugmayr

PhD Student, ETH Zurich

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Ardhendu Tripathi

PhD Student, ETH Zurich

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Fredrik Gustafsson

PhD Student, Uppsala Univ.

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Joakim Johnander

PhD Student, Linköping Univ.

Selected Publications

Learning What to Learn for Video Object Segmentation
ECCV 2020 Oral
An optimization-based few-shot learner for VOS.

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