Thomas Neff

BSc, Dipl.-Ing.

Graz University of Technology, Institute of Computer Graphics and Vision (7100)

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4 Conference contribution
1 Abstract
1 Conference article
1 Patent

Methods and apparatus for adaptive object space shading
Schmalstieg, D., Neff, T. & Müller, J., 19 Nov 2020
Research output: Patent
Shading atlas streaming demonstration
Müller, J., Neff, T., Voglreiter, P., Mlakar, M., Steinberger, M. & Schmalstieg, D., 2019, ACM SIGGRAPH 2019 Emerging Technologies. Association of Computing Machinery, 22
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Generative Adversarial Networks to Synthetically Augment Data for Deep Learning based Image Segmentation
Neff, T., Payer, C., Štern, D. & Urschler, M., May 2018, Proceedings of the OAGM Workshop 2018: Medical Image Analysis. Welk, M., Roth, P. M. & Urschler, M. (eds.). Verlag der Technischen Universität Graz, p. 22-29 8 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
Instance segmentation and tracking with cosine embeddings and recurrent hourglass networks
Payer, C., Štern, D., Neff, T., Bischof, H. & Urschler, M., 16 Sep 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Springer Verlag Heidelberg, p. 3-11 9 p. (Lecture Notes in Computer Science; vol. 11071 ).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Shading Atlas Streaming
Müller, J., Voglreiter, P., Dokter, M., Neff, T., Makar, M., Steinberger, M. & Schmalstieg, D., 2018, In : ACM Transactions on Graphics. 37, 6, 16 p., 199.
Research output: Contribution to journal › Conference article

OAGM Best Paper Award
Neff, Thomas (Recipient), Payer, Christian (Recipient), Darko Stern (Recipient) & Martin Urschler (Recipient), 11 May 2017
Prize: Prizes / Medals / Awards

Methods and apparatus for adaptive object space shading

Shading atlas streaming demonstration

Generative Adversarial Networks to Synthetically Augment Data for Deep Learning based Image Segmentation

Instance segmentation and tracking with cosine embeddings and recurrent hourglass networks

Shading Atlas Streaming

OAGM Best Paper Award