248 citations · 1.1k across the 64 of their papers we have counts for
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cs.CV2021
Learning a Self-Expressive Network for Subspace Clustering
Shangzhi Zhang, Chong You, René Vidal +1
State-of-the-art subspace clustering methods are based on self-expressive model, which represents each data point as a linear combination of other data points. However, such method…
cs.CV2021
Boosting RANSAC via Dual Principal Component Pursuit
Yunchen Yang, Xinyue Zhang, Tianjiao Ding +3
In this paper, we revisit the problem of local optimization in RANSAC. Once a so-far-the-best model has been found, we refine it via Dual Principal Component Pursuit (DPCP), a robu…