T. Souček, D. Damen, M. Wray, I. Laptev, J. Šivic. GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos. The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024. June 2024. pdf
A. Bushuiev, R. Bushuiev, P. Kouba, A. Filkin, M. Gabrielová, M. Gabriel, J. Sedlář, T. Pluskal, J. Damborsky, S. Mazurenko, J. Šivic. Learning to design protein-protein interactions with enhanced generalization. The Twelfth International Conference on Learning Representations. May 2024. pdf
L Montaut, Q Le Lidec, V Petrik, J Sivic, J Carpentier. GJK++: Leveraging Acceleration Methods for Faster Collision Detection. IEEE Transactions on Robotics. April 2024. pdf
A Vobecky, O Siméoni, D Hurych, S Gidaris, A Bursuc, P Pérez, J Sivic. POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images. Conference on Neural Information Processing Systems. December 2023. pdf
P Kouba, P Kohout, F Haddadi, A Bushuiev, R Samusevich, J Sedlar, J Damborsky, T Pluskal, J Sivic, S Mazurenko. Machine Learning - Guided Protein Engineering. ACS Catalysis. November 2023. pdf
P Vanc, J K Behrens, K Stepanova, V Hlavac. Communicating human intent to a robotic companion by multi-type gesture sentences. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). October 2023. pdf
P Hruby, V Korotynskiy, T Duff, L Oeding, M Pollefeys, T Pajdla, V Larsson. Four-view Geometry with Unknown Radial Distortion. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). June 2023. pdf
J Sedlar, K Stepanova, R Skoviera, J K Behrens, M Tuna, G Šejnová J Šivic, R Babuška. Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators. IEEE Robotics and Automation Letters. March 2023. pdf
F Sohrabi, M Rohani Nezhab, M Hesamzadeh, J Bemš. Coordinated bidding of multi-product charging station in electricity markets using rolling planning and sample average approximation. International Journal of Electrical Power & Energy Systems. March 2023. pdf
M Rohani Nezhad, M Janota, Z Hanzálek. Integrated lot-sizing and scheduling: Mitigation of uncertainty in demand and processing time by machine learning. Engineering Applications of Artificial Intelligence. February 2023. pdf
