Y Labbé, L Manuelli, A Mousavian, S Tyree, S Birchfield, J Tremblay, J Carpentier, M Aubry, D Fox, J Sivic. MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. Conference on Robot Learning (CoRL) (2022). December 2022. pdf
M Bouška, P Šůcha, A Novák, Z Hanzálek. Deep learning-driven scheduling algorithm for a single machine problem minimizing the total tardiness. European Journal of Operational Research. November 2022. pdf
A Novak, A Gnatowski, P Šůcha. Distributionally robust scheduling algorithms for total flow time minimization on parallel machines using norm regularizations. European Journal of Operational Research. October 2022. Pdf
V Heinz, A Novák, M Vlk, Z Hanzálek. Constraint Programming and constructive heuristics for parallel machine scheduling with sequence-dependent setups and common servers. Computers & Industrial Engineering. October 2022. pdf
R Škoviera, JK Behrens, K Štěpánová. SurfMan: Generating Smooth End-Effector Trajectories on 3D Object Surfaces for Human-Demonstrated Pattern Sequence. IEEE Robotics and Automation Letters. July 2022. pdf
V Veselý, J Paulusová, V Kučera. Decentralised controller design for a large-scale linear discrete-time polytopic uncertain systems. International Journal of Systems Science. July 2022. pdf
P Hruby, T Duff, A Leykin, T Pajdla. Learning to Solve Hard Minimal Problems. Conference on Computer Vision and Pattern Recognition (CVPR). June 2022. pdf
A Yang, A Miech, J Sivic, I Laptev, C Schmid. Learning to Answer Visual Questions from Web Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence. May 2022. pdf
M Ron, P Burget, V Hlaváč. Parameter continuity in time-varying Gauss–Markov models for learning from small training data sets. Information Sciences. May 2022. pdf
L Hejl, P Šůcha, A Novák, Z Hanzálek. Minimizing the weighted number of tardy jobs on a single machine: Strongly correlated instances. European Journal of Operational Research. April 2022. pdf
