| Repurposing diffusion-based image generators for monocular depth estimation B Ke, A Obukhov, S Huang, N Metzger, RC Daudt, K Schindler Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 156 | 2024 |
| Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation S Cai, A Obukhov, D Dai, L Van Gool Conference on Computer Vision and Pattern Recognition, 2022 | 98 | 2022 |
| Reparameterizing convolutions for incremental multi-task learning without task interference M Kanakis, D Bruggemann, S Saha, S Georgoulis, A Obukhov, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 88 | 2020 |
| Gated CRF loss for weakly supervised semantic image segmentation A Obukhov, S Georgoulis, D Dai, L Van Gool arXiv preprint arXiv:1906.04651, 2019 | 84 | 2019 |
| Exploring relational context for multi-task dense prediction D Brüggemann, M Kanakis, A Obukhov, S Georgoulis, L Van Gool Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 78 | 2021 |
| High-Fidelity Performance Metrics for Generative Models in PyTorch A Obukhov, M Seitzer, PW Wu, S Zhydenko, J Kyl, EYJ Lin https://zenodo.org/record/3786540, 2020 | 70* | 2020 |
| Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation S Saha*, A Obukhov*, DP Paudel, M Kanakis, Y Chen, S Georgoulis, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 63 | 2021 |
| Discrete Cosine Transform for 8x8 blocks with CUDA A Obukhov, A Kharlamov NVIDIA Software Development Kit (SDK), 2008 | 57 | 2008 |
| DiffDreamer: Towards consistent unsupervised single-view scene extrapolation with conditional diffusion models S Cai, ER Chan, S Peng, M Shahbazi, A Obukhov, L Van Gool, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 42* | 2023 |
| T-Basis: a compact representation for neural networks A Obukhov, M Rakhuba, S Georgoulis, M Kanakis, D Dai, L Van Gool International Conference on Machine Learning, 7392-7404, 2020 | 32 | 2020 |
| NTIRE 2024 challenge on HR depth from images of specular and transparent surfaces PZ Ramirez, F Tosi, L Di Stefano, R Timofte, A Costanzino, M Poggi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 29 | 2024 |
| Haar Classifiers for Object Detection with CUDA A Obukhov GPU Computing Gems Emerald Edition, 517-544, 2011 | 29 | 2011 |
| Cloud-based video monitoring A Obukhov, H Vu, J Lee, CM Lo, R Pera US Patent 9,734,681, 2017 | 27 | 2017 |
| EDAPS: Enhanced domain-adaptive panoptic segmentation S Saha, L Hoyer, A Obukhov, D Dai, L Van Gool Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 14 | 2023 |
| Spectral tensor train parameterization of deep learning layers A Obukhov, M Rakhuba, A Liniger, Z Huang, S Georgoulis, D Dai, ... International Conference on Artificial Intelligence and Statistics, 3547-3555, 2021 | 14 | 2021 |
| Breathing New Life into 3D Assets with Generative Repainting T Wang, M Kanakis, K Schindler, L Van Gool, A Obukhov 34th British Machine Vision Conference 2023, BMVC 2023, Aberdeen, UK …, 2023 | 11 | 2023 |
| GPU-Accelerated Video Encoding A Obukhov NVIDIA GPU Technology Conference, 2010 | 11* | 2010 |
| Fully automatic PTZ camera calibration method A Obukhov, K Strelnikov, D Vatolin Proc. of Graphicon, 122-127, 2008 | 9 | 2008 |
| Towards practical control of singular values of convolutional layers A Senderovich, E Bulatova, A Obukhov, M Rakhuba Advances in Neural Information Processing Systems 35, 10918-10930, 2022 | 8 | 2022 |
| TT-NF: Tensor Train Neural Fields A Obukhov, M Usvyatsov, C Sakaridis, K Schindler, L Van Gool IEEE Journal of Selected Topics in Signal Processing, 2024 | 7* | 2024 |
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACEVerifierad e-postadress på insait.ai
