| Clipasso: Semantically-aware object sketching Y Vinker, E Pajouheshgar, JY Bo, RC Bachmann, AH Bermano, ... ACM Transactions on Graphics (TOG) 41 (4), 1-11, 2022 | 139 | 2022 |
| DyNCA: Real-time Dynamic Texture Synthesis Using Neural Cellular Automata E Pajouheshgar*, Y Xu*, T Zhang, S Süsstrunk arXiv preprint arXiv:2211.11417, 2022 | 15 | 2022 |
| ChOracle: A unified statistical framework for churn prediction A Khodadadi, SA Hosseini, E Pajouheshgar, F Mansouri, HR Rabiee IEEE Transactions on Knowledge and Data Engineering 34 (4), 1656-1666, 2020 | 15 | 2020 |
| Optimizing Latent Space Directions for GAN-Based Local Image Editing E Pajouheshgar, T Zhang, S Süsstrunk ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 14 | 2022 |
| Back to square one: probabilistic trajectory forecasting without bells and whistles E Pajouheshgar, CH Lampert NIPS Workshop on Modeling and Decision-Making in the Spatiotemporal Domain, 2018 | 9 | 2018 |
| Mesh neural cellular automata E Pajouheshgar, Y Xu, A Mordvintsev, E Niklasson, T Zhang, S Süsstrunk arXiv preprint arXiv:2311.02820, 2023 | 3 | 2023 |
| NoiseNCA: Noisy Seed Improves Spatio-Temporal Continuity of Neural Cellular Automata E Pajouheshgar, Y Xu, S Süsstrunk arXiv preprint arXiv:2404.06279, 2024 | 1 | 2024 |
| Emergent Dynamics in Neural Cellular Automata Y Xu, E Pajouheshgar, S Süsstrunk arXiv preprint arXiv:2404.06406, 2024 | | 2024 |
| Reproducibility Report for "On Warm-Starting Neural Network Training" A Mohtashami, E Pajouheshgar, K Kireev ML Reproducibility Challenge 2020, 2020 | | 2020 |
| IVRL RWLM Achddou, S Arjomand Bigdeli, S Arpa, N Arvanitopoulos Darginis, ... | | |
| Supplementary of Real-time Dynamic Texture Synthesis Using Neural Cellular Automata E Pajouheshgar, Y Xu, T Zhang, S Süsstrunk | | |
Sabine SüsstrunkProfessor, Images and Visual Representation Lab, EPFL在 epfl.ch 的电子邮件经过验证
