| Dpod: 6d pose object detector and refiner S Zakharov, I Shugurov, S Ilic Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 627 | 2019 |
| Homebreweddb: Rgb-d dataset for 6d pose estimation of 3d objects R Kaskman, S Zakharov, I Shugurov, S Ilic Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 190 | 2019 |
| Osop: A multi-stage one shot object pose estimation framework I Shugurov, F Li, B Busam, S Ilic Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 112 | 2022 |
| Nerf-pose: A first-reconstruct-then-regress approach for weakly-supervised 6d object pose estimation F Li, SR Vutukur, H Yu, I Shugurov, B Busam, S Yang, S Ilic Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 88 | 2023 |
| Riga: Rotation-invariant and globally-aware descriptors for point cloud registration H Yu, J Hou, Z Qin, M Saleh, I Shugurov, K Wang, B Busam, S Ilic IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (5), 3796-3812, 2024 | 77 | 2024 |
| Dpodv2: Dense correspondence-based 6 dof pose estimation I Shugurov, S Zakharov, S Ilic IEEE transactions on pattern analysis and machine intelligence 44 (11), 7417 …, 2021 | 74 | 2021 |
| Dpod: Dense 6d pose object detector in rgb images S Zakharov, I Shugurov, S Ilic arXiv preprint arXiv:1902.11020 1 (2), 2019 | 55 | 2019 |
| Generating event logs for high-level process models AA Mitsyuk, IS Shugurov, AA Kalenkova, WMP van der Aalst Simulation Modelling Practice and Theory 74, 1-16, 2017 | 50 | 2017 |
| Generation of a set of event logs with noise I Shugurov, AA Mitsyuk Proceedings of the Spring/Summer Young Researchers’ Colloquium on Software …, 2014 | 38 | 2014 |
| Multi-view object pose refinement with differentiable renderer I Shugurov, I Pavlov, S Zakharov, S Ilic IEEE Robotics and Automation Letters 6 (2), 2579-2586, 2021 | 35 | 2021 |
| Process model repair by detecting unfitting fragments? AA Mitsyuk, IA Lomazova, IS Shugurov, WMP van der Aalst 6th International Conference on Analysis of Images, Social Networks and …, 2017 | 19 | 2017 |
| Homebreweddb: RGB-D dataset for 6d pose estimation of 3d objects. In 2019 IEEE R Kaskman, S Zakharov, I Shugurov, S Ilic CVF International Conference on Computer Vision Workshop (ICCVW), 2767-2776, 2019 | 17 | 2019 |
| 6 dof pose estimation of textureless objects from multiple rgb frames R Kaskman, I Shugurov, S Zakharov, S Ilic European Conference on Computer Vision, 612-630, 2020 | 15 | 2020 |
| On process model synthesis based on event logs with noise AA Mitsyuk, IS Shugurov Modeling and analysis of information systems 21 (4), 181-198, 2014 | 15 | 2014 |
| Polarmesh: A star-convex 3d shape approximation for object pose estimation F Li, I Shugurov, B Busam, M Li, S Yang, S Ilic IEEE Robotics and Automation Letters 7 (2), 4416-4423, 2022 | 14 | 2022 |
| Ws-ope: Weakly supervised 6-d object pose regression using relative multi-camera pose constraints F Li, I Shugurov, B Busam, S Yang, S Ilic IEEE Robotics and Automation Letters 7 (2), 3703-3710, 2022 | 11 | 2022 |
| Iskra: A tool for process model repair I Shugurov, A Mitsyuk Труды Института системного программирования РАН 27 (3), 237-254, 2015 | 8 | 2015 |
| Applying MapReduce to conformance checking IS Shugurov, AA Mitsyuk Труды Института системного программирования РАН 28 (3), 103-122, 2016 | 6 | 2016 |
| Welsa: Learning to predict 6d pose from weakly labeled data using shape alignment SR Vutukur, I Shugurov, B Busam, A Hutter, S Ilic European Conference on Computer Vision, 645-661, 2022 | 5 | 2022 |
| Dense 6-DoF pose object detector I Shugurov, A Hutter, S Zakharov, S Ilic US Patent 11,915,451, 2024 | 3 | 2024 |