3 citations · 12 across the 13 of their papers we have counts for
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cs.CV2023
FlowDA: Unsupervised Domain Adaptive Framework for Optical Flow Estimation
Miaojie Feng, Longliang Liu, Hao Jia +2
Collecting real-world optical flow datasets is a formidable challenge due to the high cost of labeling. A shortage of datasets significantly constrains the real-world performance o…
cs.CV2023★ 1 cited
Memory-Efficient Optical Flow via Radius-Distribution Orthogonal Cost Volume
Gangwei Xu, Shujun Chen, Hao Jia +2
The full 4D cost volume in Recurrent All-Pairs Field Transforms (RAFT) or global matching by Transformer achieves impressive performance for optical flow estimation. However, their…
cs.CV2023★ 1 cited
MC-Stereo: Multi-peak Lookup and Cascade Search Range for Stereo Matching
Miaojie Feng, Junda Cheng, Hao Jia +4
Stereo matching is a fundamental task in scene comprehension. In recent years, the method based on iterative optimization has shown promise in stereo matching. However, the current…