| 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 | 2007 | 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 | 644 | 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 | 611 | 2018 |
| 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 | 518 | 2019 |
| 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 | 382 | 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 | 292 | 2019 |
| Deep projective 3D semantic segmentation FJ Lawin, M Danelljan, P Tosteberg, G Bhat, FS Khan, M Felsberg International Conference on Computer Analysis of Images and Patterns, 95-107, 2017 | 216 | 2017 |
| Know your surroundings: Exploiting scene information for object tracking G Bhat, M Danelljan, LV Gool, R Timofte European Conference on Computer Vision, 205-221, 2020 | 112 | 2020 |
| The eighth visual object tracking VOT2020 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... European Conference on Computer Vision, 547-601, 2020 | 101 | 2020 |
| Learning what to learn for video object segmentation G Bhat, FJ Lawin, M Danelljan, A Robinson, M Felsberg, LV Gool, ... European Conference on Computer Vision, 777-794, 2020 | 57 | 2020 |
| 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 | 34 | 2021 |
| Energy-based models for deep probabilistic regression FK Gustafsson, M Danelljan, G Bhat, TB Schön European Conference on Computer Vision, 325-343, 2020 | 32 | 2020 |
| 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 | 25 | 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 | 23 | 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 | 12 | 2022 |
| 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 | 12 | 2021 |
| Combining visual tracking and person detection for long term tracking on a uav G Häger, G Bhat, M Danelljan, FS Khan, M Felsberg, P Rudl, P Doherty International Symposium on Visual Computing, 557-568, 2016 | 8 | 2016 |
| 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 | 6 | 2021 |
| Accurate tracking by overlap maximization G Bhat | 5 | 2019 |
| DCTD: deep conditional target densities for accurate regression FK Gustafsson, M Danelljan, G Bhat, TB Schön | 4 | 2019 |
Martin DanelljanResearcher, ETH ZurichVerified email at vision.ee.ethz.ch
