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Christoph Mayer
Christoph Mayer
PhD student, Computer Vision Lab, ETH Zurich
Verified email at ee.ethz.ch
Title
Cited by
Cited by
Year
Group sparsity: The hinge between filter pruning and decomposition for network compression
Y Li, S Gu, C Mayer, LV Gool, R Timofte
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2232020
Learning Target Candidate Association to Keep Track of What Not to Track
C Mayer, M Danelljan, DP Paudel, L Van Gool
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021
2062021
Transforming model prediction for tracking
C Mayer, M Danelljan, G Bhat, M Paul, DP Paudel, F Yu, L Van Gool
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
1952022
Origami: A convolutional network accelerator
L Cavigelli, D Gschwend, C Mayer, S Willi, B Muheim, L Benini
Proceedings of the 25th edition on Great Lakes Symposium on VLSI, 199-204, 2015
1872015
Adversarial sampling for active learning
C Mayer, R Timofte
IEEE Winter Conference on Applications of Computer Vision, 2020
1222020
The ninth visual object tracking vot2021 challenge results
M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ...
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
992021
Robust visual tracking by segmentation
M Paul, M Danelljan, C Mayer, L Van Gool
European Conference on Computer Vision, 571-588, 2022
512022
Efficient Video Semantic Segmentation with Labels Propagation and Refinement
M Paul, C Mayer, L Van Gool, R Timofte
IEEE Winter Conference on Applications of Computer Vision, 2020
342020
The tenth visual object tracking vot2022 challenge results
M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ...
European Conference on Computer Vision, 431-460, 2022
292022
Avist: A benchmark for visual object tracking in adverse visibility
M Noman, WA Ghallabi, D Najiha, C Mayer, A Dudhane, M Danelljan, ...
arXiv preprint arXiv:2208.06888, 2022
112022
Adversarial feature distribution alignment for semi-supervised learning
C Mayer, M Paul, R Timofte
Computer Vision and Image Understanding 202, 103109, 2021
112021
Using artificial intelligence to determine the influence of dental aesthetics on facial attractiveness in comparison to other facial modifications
D Obwegeser, R Timofte, C Mayer, T Eliades, MM Bornstein, MA Schätzle, ...
European Journal of Orthodontics 44 (4), 445-451, 2022
72022
Towards closing the gap in weakly supervised semantic segmentation with dcnns: Combining local and global models
C Mayer, R Timofte, G Paul
Computer Vision and Image Understanding 208, 103209, 2021
62021
Photo-realistic and robust inpainting of faces using refinement gans
D Malesevic, C Mayer, S Gu, R Timofte
Inpainting and Denoising Challenges, 129-144, 2019
62019
The first visual object tracking segmentation vots2023 challenge results
M Kristan, J Matas, M Danelljan, M Felsberg, HJ Chang, LČ Zajc, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
42023
Beyond SOT: Tracking Multiple Generic Objects at Once
C Mayer, M Danelljan, MH Yang, V Ferrari, L Van Gool, A Kuznetsova
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
3*2024
Tracking Generic Objects in Videos
C Mayer
ETH Zurich, 2023
2023
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