Associating approximate paths and temporal sequences of noisy detections: Application to the recovery of spatio-temporal cancer cell trajectories. - Matthias Dorfer; Tomas Kazmar; Matej Smíd; Sanchit Sing; Julia Kneißl; Simone Keller; Olivier Debeir; Birgit Luber; Julian Mattes (Medical Image Anal., 2016)

On the Two-View Geometry of Unsynchronized Cameras. - Cenek Albl; Zuzana Kukelova; Andrew W. Fitzgibbon; Jan Heller; Matej Smíd; Tomás Pajdla (CVPR, 2017)

Rolling Shutter Camera Synchronization with Sub-millisecond Accuracy. - Matej Smíd; Jiri Matas (VISIGRAPP (4: VISAPP), 2017)

Online Learning and Control for Data-Augmented Quadrotor Model. - Matej Smíd; Jindrich Duník (CoRR, 2023)