Multi-Scale Raft: Combining Hierarchical Concepts for Learning-Based Optical Flow Estimation. - Azin Jahedi; Lukas Mehl; Marc Rivinius; Andrés Bruhn (ICIP, 2022)

High Resolution Multi-Scale RAFT (Robust Vision Challenge 2022). - Azin Jahedi; Maximilian Luz; Lukas Mehl; Marc Rivinius; Andrés Bruhn (CoRR, 2022)

Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo. - Lukas Mehl; Jenny Schmalfuss; Azin Jahedi; Yaroslava Nalivayko; Andrés Bruhn (CVPR, 2023)

M-FUSE: Multi-frame Fusion for Scene Flow Estimation. - Lukas Mehl; Azin Jahedi; Jenny Schmalfuss; Andrés Bruhn (WACV, 2023)

Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo. - Lukas Mehl; Jenny Schmalfuss; Azin Jahedi; Yaroslava Nalivayko; Andrés Bruhn (DaRUS, 2023)

Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo. - Lukas Mehl; Jenny Schmalfuss; Azin Jahedi; Yaroslava Nalivayko; Andrés Bruhn (DaRUS, 2023)

CCMR: High Resolution Optical Flow Estimation via Coarse-to-Fine Context-Guided Motion Reasoning. - Azin Jahedi; Maximilian Luz; Marc Rivinius; Andrés Bruhn (WACV, 2024)

MS-RAFT+: High Resolution Multi-Scale RAFT. - Azin Jahedi; Maximilian Luz; Marc Rivinius; Lukas Mehl; Andrés Bruhn (Int. J. Comput. Vis., 2024)

MS-RAFT-3D: A Multi-Scale Architecture for Recurrent Image-Based Scene Flow. - Jakob Schmid; Azin Jahedi; Noah Berenguel Senn; Andrés Bruhn (CoRR, 2025)