18 citations · 23 across the 3 of their papers we have counts for
3 papers
cs.CV2023
CCMR: High Resolution Optical Flow Estimation via Coarse-to-Fine Context-Guided Motion Reasoning
Azin Jahedi, Maximilian Luz, Marc Rivinius +1
Attention-based motion aggregation concepts have recently shown their usefulness in optical flow estimation, in particular when it comes to handling occluded regions. However, due…
cs.CV2022★ 5 cited
High Resolution Multi-Scale RAFT (Robust Vision Challenge 2022)
Azin Jahedi, Maximilian Luz, Lukas Mehl +2
In this report, we present our optical flow approach, MS-RAFT+, that won the Robust Vision Challenge 2022. It is based on the MS-RAFT method, which successfully integrates several…
cs.CV2022★ 18 cited
Multi-Scale RAFT: Combining Hierarchical Concepts for Learning-based Optical FLow Estimation
Azin Jahedi, Lukas Mehl, Marc Rivinius +1
Many classical and learning-based optical flow methods rely on hierarchical concepts to improve both accuracy and robustness. However, one of the currently most successful approach…