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Daniel Maurer

2 accepted papers

2021

SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping

CVPR 2021poster

We present SMURF, a method for unsupervised learning of optical flow that improves state of the art on all benchmarks by 36% to 40% and even outperforms several supervised approaches such as PWC-Net and FlowNet2. Our method integrates architecture improvements from supervised optical flow, i.e. the…

Cited by 101PDFcodeScholar
2018

Structure-from-Motion-Aware PatchMatch for Adaptive Optical Flow Estimation

ECCV 2018poster

Many recent energy-based methods for optical flow estimation rely on a good initialization that is typically provided by some kind of feature matching. So far, however, these initial matching approaches are rather general: They do not incorporate any additional information that could help to improve…