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 | 249 | 2022 |
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 | 249 | 2021 |
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 | 242 | 2020 |
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 | 189 | 2015 |
Adversarial sampling for active learning C Mayer, R Timofte IEEE Winter Conference on Applications of Computer Vision, 2020 | 130 | 2020 |
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 | 114 | 2021 |
Robust visual tracking by segmentation M Paul, M Danelljan, C Mayer, L Van Gool European Conference on Computer Vision, 571-588, 2022 | 67 | 2022 |
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 | 47 | 2022 |
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 | 37 | 2020 |
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 | 13 | 2022 |
Adversarial feature distribution alignment for semi-supervised learning C Mayer, M Paul, R Timofte Computer Vision and Image Understanding 202, 103109, 2021 | 13 | 2021 |
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 | 12 | 2022 |
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 | 7 | 2021 |
Pytracking M Danelljan, G Bhat, C Mayer, M Paul Visual tracking library based on pytorch, 2019 | 6 | 2019 |
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 | 6 | 2019 |
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 | 5* | 2024 |
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 | 5 | 2023 |
Tracking Generic Objects in Videos C Mayer ETH Zurich, 2023 | | 2023 |