Sarah is in Program Committee of ICCV2019 RSL-CV Workshop

Robust subspace learning/tracking/clustering either based on robust statistics estimation on reconstruction error and on decompositions into low-rank/sparse plus additive matrices/tensors provide suitable frameworks for many computer vision applications like in video coding, key frame extraction, hyper-spectral video processing, dynamic MRI, motion saliency detection, background initialization and background/foreground separation.

Full Paper Submission Deadline: July 23, 2019

Decisions to Authors: Camera-ready Deadline: August 20, 2019