| Meshsdf: Differentiable iso-surface extraction E Remelli, A Lukoianov, S Richter, B Guillard, T Bagautdinov, P Baque, ... Advances in Neural Information Processing Systems 33, 22468-22478, 2020 | 151 | 2020 |
| DeepMesh: Differentiable iso-surface extraction B Guillard, E Remelli, A Lukoianov, P Yvernay, SR Richter, T Bagautdinov, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 22 | 2024 |
| Modification of YAPE keypoint detection algorithm for wide local contrast range images A Lukoyanov, D Nikolaev, I Konovalenko Tenth International Conference on Machine Vision (ICMV 2017) 10696, 305-312, 2018 | 17 | 2018 |
| Debosh: Deep bayesian shape optimization N Durasov, A Lukoyanov, J Donier, P Fua arXiv preprint arXiv:2109.13337, 2021 | 15 | 2021 |
| Hybridsdf: Combining deep implicit shapes and geometric primitives for 3d shape representation and manipulation S Vasu, N Talabot, A Lukoianov, P Baqué, J Donier, P Fua 2022 International Conference on 3D Vision (3DV), 617-626, 2022 | 12 | 2022 |
| Edge detection based mobile robot indoor localization OS Shipitko, MP Abramov, AS Lukoyanov, EI Panfilova, IA Kunina, ... Eleventh International Conference on Machine Vision (ICMV 2018) 11041, 784-792, 2019 | 8 | 2019 |
| Hybridsdf: combining free form shapes and geometric primitives for effective shape manipulation S Vasu, N Talabot, A Lukoianov, P Baque, J Donier, P Fua ArXiv abs/2109.10767 4, 2021 | 4 | 2021 |
| Модификация алгоритма YAPE для изображений с большим разбросом локального контраста АС Лукоянов, ДП Николаев, ИА Коноваленко Информационные технологии и нанотехнологии, 1193-1204, 2018 | 1 | 2018 |
| Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning HSO Borde, A Lukoianov, A Kratsios, M Bronstein, X Dong arXiv preprint arXiv:2411.00835, 2024 | | 2024 |
| Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning H Sáez de Ocáriz Borde, A Lukoianov, A Kratsios, M Bronstein, X Dong arXiv e-prints, arXiv: 2411.00835, 2024 | | 2024 |
| Score Distillation via Reparametrized DDIM A Lukoianov, HSO Borde, K Greenewald, VC Guizilini, T Bagautdinov, ... arXiv preprint arXiv:2405.15891, 2024 | | 2024 |
| Differentiable parametric computer-assisted design solution P Baqué, A Lukoianov, J Donier, T Allard US Patent App. 18/270,835, 2024 | | 2024 |
| Score Distillation via DDIM Inversion AS Lukoianov Massachusetts Institute of Technology, 2024 | | 2024 |
| Towards Efficient Local 3D Conditioning D Zhang, A Lukoianov SIGGRAPH Asia 2023 Posters, 1-2, 2023 | | 2023 |
| Input Simplifying as an Approach for Improving Neural Network Efficiency A Grigorev, A Lukoyanov, N Korobov, P Kutsevol, I Zharikov International Conference on Analysis of Images, Social Networks and Texts …, 2019 | | 2019 |
| Synthetic patches, real images: screening for centrosome aberrations in EM images of human cancer cells A Lukoyanov, I Haberbosch, C Pape, A Krämer, Y Schwab, A Kreshuk Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | | 2019 |
| Machine Learning Course, Project 2 Unsupervised Object Segmentation by Redrawing: reproducibility challenge F Moiseev, A Lukoianov, N Durasov | | |
Pascal FuaProfessor Computer Science, EPFLVerified email at epfl.ch
