Vision-based navigation using deep reinforcement learning J Kulhánek, E Derner, T De Bruin, R Babuška 2019 european conference on mobile robots (ECMR), 1-8, 2019 | 91 | 2019 |
Viewformer: Nerf-free neural rendering from few images using transformers J Kulhánek, E Derner, T Sattler, R Babuška European Conference on Computer Vision, 198-216, 2022 | 78 | 2022 |
AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models J Kulhánek, V Hudeček, T Nekvinda, O Dušek 3rd Workshop on Natural Language Processing for Conversational AI, 198-210, 2021 | 64* | 2021 |
Visual navigation in real-world indoor environments using end-to-end deep reinforcement learning J Kulhánek, E Derner, R Babuška IEEE Robotics and Automation Letters 6 (3), 4345-4352, 2021 | 58 | 2021 |
Symformer: End-to-end symbolic regression using transformer-based architecture M Vastl, J Kulhánek, J Kubalík, E Derner, R Babuška IEEE Access, 2024 | 50 | 2024 |
Tetra-nerf: Representing neural radiance fields using tetrahedra J Kulhanek, T Sattler Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 44 | 2023 |
WildGaussians: 3D Gaussian Splatting in the Wild J Kulhanek, S Peng, Z Kukelova, M Pollefeys, T Sattler arXiv preprint arXiv:2407.08447, 2024 | 13 | 2024 |
Dynamic 3D Gaussian Fields for Urban Areas T Fischer, J Kulhanek, SR Bulò, L Porzi, M Pollefeys, P Kontschieder arXiv preprint arXiv:2406.03175, 2024 | 7 | 2024 |
Watersplatting: Fast underwater 3d scene reconstruction using gaussian splatting H Li, W Song, T Xu, A Elsig, J Kulhanek arXiv preprint arXiv:2408.08206, 2024 | 3 | 2024 |
Discovery and Characterization of Terpene Synthases Powered by Machine Learning R Samusevich, T Hebra, R Bushuiev, A Bushuiev, R Chatpatanasiri, ... | 3 | 2024 |
Highly accurate discovery of terpene synthases powered by machine learning reveals functional terpene cyclization in Archaea R Samusevich, T Hebra, R Bushuiev, A Bushuiev, T Čalounová, ... bioRxiv, 2024.01. 29.577750, 2024 | 1 | 2024 |
NerfBaselines: Consistent and Reproducible Evaluation of Novel View Synthesis Methods J Kulhanek, T Sattler arXiv preprint arXiv:2406.17345, 2024 | | 2024 |
PREDICTION OF TERPENE SYNTHASE SUBSTRATES AND PRODUCTS DIRECTLY FROM ENZYME SEQUENCES USING SELF-SUPERVISED DEEP LEARNING R Samusevich, J Kulhánek, R Bushuiev, T Čalounová, R Chatpatanasiri, ... 4th International Conference on Natural Product Discovery and Development in …, 2023 | | 2023 |