| Eco: Efficient convolution operators for tracking M Danelljan, G Bhat, F Shahbaz Khan, M Felsberg Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 3010 | 2017 |
| Atom: Accurate tracking by overlap maximization M Danelljan, G Bhat, FS Khan, M Felsberg Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1516 | 2019 |
| Learning discriminative model prediction for tracking G Bhat, M Danelljan, LV Gool, R Timofte Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 1385 | 2019 |
| The sixth visual object tracking vot2018 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 986 | 2018 |
| Unveiling the power of deep tracking G Bhat, J Johnander, M Danelljan, FS Khan, M Felsberg Proceedings of the European conference on computer vision (ECCV), 483-498, 2018 | 580 | 2018 |
| The seventh visual object tracking VOT2019 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 572 | 2019 |
| Deep projective 3D semantic segmentation FJ Lawin, M Danelljan, P Tosteberg, G Bhat, FS Khan, M Felsberg Computer Analysis of Images and Patterns: 17th International Conference …, 2017 | 417 | 2017 |
| Know your surroundings: Exploiting scene information for object tracking G Bhat, M Danelljan, L Van Gool, R Timofte Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 396 | 2020 |
| The eighth visual object tracking VOT2020 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 342 | 2020 |
| 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 | 302 | 2022 |
| Learning what to learn for video object segmentation G Bhat, FJ Lawin, M Danelljan, A Robinson, M Felsberg, L Van Gool, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 177 | 2020 |
| The visual object tracking vot2016 challenge results G Roffo, S Melzi Computer Vision--ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 177* | 2016 |
| Deep burst super-resolution G Bhat, M Danelljan, L Van Gool, R Timofte Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 145 | 2021 |
| Energy-based models for deep probabilistic regression FK Gustafsson, M Danelljan, G Bhat, TB Schön Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 71 | 2020 |
| Deep reparametrization of multi-frame super-resolution and denoising G Bhat, M Danelljan, F Yu, L Van Gool, R Timofte Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 68 | 2021 |
| 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 | 63 | 2022 |
| NTIRE 2021 challenge on burst super-resolution: Methods and results G Bhat, M Danelljan, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 43 | 2021 |
| Deep motion and appearance cues for visual tracking M Danelljan, G Bhat, S Gladh, FS Khan, M Felsberg Pattern Recognition Letters 124, 74-81, 2019 | 36 | 2019 |
| NTIRE 2022 burst super-resolution challenge G Bhat, M Danelljan, R Timofte, Y Cao, Y Cao, M Chen, X Chen, S Cheng, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 35 | 2022 |
| Generating masks from boxes by mining spatio-temporal consistencies in videos B Zhao, G Bhat, M Danelljan, L Van Gool, R Timofte Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 20 | 2021 |
Martin DanelljanResearcher, ETH ZurichDirección de correo verificada de vision.ee.ethz.ch
