Roman Kaskman

According to our database, Roman Kaskman authored at least 5 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Learn to Predict Sets Using Feed-Forward Neural Networks.

Hamid Rezatofighi, Tianyu Zhu, Roman Kaskman, Farbod T. Motlagh, Javen Qinfeng Shi, Anton Milan, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2020

Learn to Predict Sets Using Feed-Forward Neural Networks.

Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh, Qinfeng Shi, Anton Milan, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid

CoRR, 2020

6 DoF Pose Estimation of Textureless Objects from Multiple RGB Frames.

Roman Kaskman, Ivan Shugurov, Sergey Zakharov, Slobodan Ilic

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects.

Roman Kaskman, Sergey Zakharov, Ivan Shugurov, Slobodan Ilic

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks.

Seyed Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh, Qinfeng Shi, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid

CoRR, 2018