| Harmonic networks: Deep translation and rotation equivariance DE Worrall, SJ Garbin, D Turmukhambetov, GJ Brostow Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 690 | 2017 |
| Fastnerf: High-fidelity neural rendering at 200fps SJ Garbin, M Kowalski, M Johnson, J Shotton, J Valentin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 302 | 2021 |
| Interpretable transformations with encoder-decoder networks DE Worrall, SJ Garbin, D Turmukhambetov, GJ Brostow Proceedings of the IEEE International Conference on Computer Vision, 5726-5735, 2017 | 98 | 2017 |
| Openeds: Open eye dataset SJ Garbin, Y Shen, I Schuetz, R Cavin, G Hughes, SS Talathi arXiv preprint arXiv:1905.03702, 2019 | 72 | 2019 |
| Config: Controllable neural face image generation M Kowalski, SJ Garbin, V Estellers, T Baltrušaitis, M Johnson, J Shotton Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 67 | 2020 |
| 3d face reconstruction with dense landmarks E Wood, T Baltrušaitis, C Hewitt, M Johnson, J Shen, N Milosavljević, ... European Conference on Computer Vision, 160-177, 2022 | 46 | 2022 |
| Integration and visualization public health dashboard: the medi+ board pilot project P Kostkova, S Garbin, J Moser, W Pan Proceedings of the 23rd International Conference on World Wide Web, 657-662, 2014 | 23 | 2014 |
| Dataset for eye tracking on a virtual reality platform SJ Garbin, O Komogortsev, R Cavin, G Hughes, Y Shen, I Schuetz, ... ACM symposium on eye tracking research and applications, 1-10, 2020 | 15 | 2020 |
| Computing images of head mounted display wearer MA Johnson, MM Wilczkowiak, DS Wilde, PM Mcilroy, T Baltrusaitis, ... US Patent App. 16/899,555, 2021 | 8 | 2021 |
| Voltemorph: Realtime, controllable and generalisable animation of volumetric representations SJ Garbin, M Kowalski, V Estellers, S Szymanowicz, S Rezaeifar, J Shen, ... arXiv preprint arXiv:2208.00949, 2022 | 7 | 2022 |
| High resolution zero-shot domain adaptation of synthetically rendered face images SJ Garbin, M Kowalski, M Johnson, J Shotton Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 6 | 2020 |
| Controllable image generation MA Kowalski, SJ Garbin, MA Johnson, T Baltrusaitis, M De La Gorce, ... US Patent 11,748,932, 2023 | 3 | 2023 |
| High resolution neural rendering SJ Garbin, MA Kowalski, MA Johnson US Patent 11,640,690, 2023 | 2 | 2023 |
| Computing photorealistic versions of synthetic images SJ Garbin, MA Kowalski, MA Johnson, T Baltrusaitis, M De La Gorce, ... US Patent 11,354,846, 2022 | 2 | 2022 |
| BlendFields: Few-Shot Example-Driven Facial Modeling K Kania, SJ Garbin, A Tagliasacchi, V Estellers, KM Yi, J Valentin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 1 | 2023 |
| Model fitting using keypoint regression JPC Valentin, EW Wood, TJ Cashman, M De La Gorce, T Baltrusaitis, ... US Patent App. 17/852,175, 2023 | | 2023 |
| Computing photorealistic versions of synthetic images SJ Garbin, MA Kowalski, MA Johnson, T Baltrusaitis, M De La Gorce, ... US Patent App. 17/751,429, 2022 | | 2022 |
| FastNeRF: High-Fidelity Neural Rendering at 200FPS-Supplementary Material SJ Garbin, M Kowalski, M Johnson, J Shotton, J Valentin | | |
| Supplementary Material: Interpretable Transformations with Encoder–Decoder Networks DE Worrall, SJ Garbin, D Turmukhambetov, GJ Brostow ORION 7, 93.8, 0 | | |
| Supplementary Material Harmonic Networks: Deep Translation and Rotation Equivariance DE Worrall, SJ Garbin, D Turmukhambetov, GJ Brostow | | |
Marek KowalskiScientist, MicrosoftZweryfikowany adres z microsoft.com
