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Marc Rivinius
Marc Rivinius
Email confirmado em sec.uni-stuttgart.de
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Multi-scale RAFT: Combining hierarchical concepts for learning-based optical flow estimation
A Jahedi, L Mehl, M Rivinius, A Bruhn
2022 IEEE International Conference on Image Processing (ICIP), 1236-1240, 2022
122022
High resolution multi-scale RAFT (Robust Vision Challenge 2022)
A Jahedi, M Luz, L Mehl, M Rivinius, A Bruhn
arXiv preprint arXiv:2210.16900, 2022
72022
Publicly accountable robust multi-party computation
M Rivinius, P Reisert, D Rausch, R Küsters
2022 IEEE Symposium on Security and Privacy (SP), 2430-2449, 2022
72022
Photographic high-dynamic-range scalar visualization
L Zhou, M Rivinius, CR Johnson, D Weiskopf
IEEE transactions on visualization and computer graphics 26 (6), 2156-2167, 2020
52020
Arithmetic Tuples for MPC
P Reisert, M Rivinius, T Krips, R Kuesters
Cryptology ePrint Archive, Paper 2022/667. 2022. url: https://eprint. iacr …, 2022
22022
Overdrive LowGear 2.0: Reduced-Bandwidth MPC without Sacrifice
P Reisert, M Rivinius, T Krips, R Küsters
12023
CCMR: High Resolution Optical Flow Estimation via Coarse-to-Fine Context-Guided Motion Reasoning
A Jahedi, M Luz, M Rivinius, A Bruhn
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
2024
MS-RAFT+: High Resolution Multi-Scale RAFT
A Jahedi, M Luz, M Rivinius, L Mehl, A Bruhn
International Journal of Computer Vision, 1-22, 2023
2023
Multipars: Reduced-Communication MPC over Z2k
S Hasler, P Reisert, M Rivinius, R Küsters
Cryptology ePrint Archive, 2023
2023
Overdrive LowGear 2.0: Reduced-Bandwidth MPC without Sacrifice
S Hasler, T Krips, R Küsters, P Reisert, M Rivinius
Cryptology ePrint Archive, 2023
2023
Convolutions in Overdrive: Maliciously Secure Convolutions for MPC
M Rivinius, P Reisert, S Hasler, R Küsters
Cryptology ePrint Archive, 2023
2023
Accountable secure multi-party computation for tally-hiding e-voting
M Rivinius
2020
High-dynamic-range visualization of density plots
M Rivinius
2017
CCMR: High Resolution Optical Flow Estimation via Coarse-to-Fine Context-Guided Motion Reasoning Supplementary Material
A Jahedi, M Luz, M Rivinius, A Bruhn
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