Yiran Zhong

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Feature tracking is a fundamental problem in computer vision, with applications in many computer vision tasks, such as visual SLAM and action recognition. This paper introduces a novel multi-body feature tracker that exploits a multi-body rigidity assumption to improve tracking robustness under a general perspective camera model. A conventional approach to(More)
Long noncoding RNAs (lncRNAs) are nonprotein coding transcripts longer than 200 nucleotides. Recently in mammals, thousands of long noncoding RNAs have been identified and studied as key molecular players in different biological processes with protein complexes. As a long noncoding RNA, maternally expressed gene 3 (MEG3) plays an important role in many(More)
The problems of motion segmentation and face clustering can be addressed in a framework of subspace clustering methods. In this paper, we tackle the more general problem of clustering data points lying in a union of low-dimensional linear(or affine) subspaces, which can be naturally applied in motion segmentation and face clustering. For data points drawn(More)
Exiting deep-learning based dense stereo matching methods often rely on ground-truth disparity maps as the training signals, which are however not always available in many situations. In this paper, we design a simple convolutional neural network architecture that is able to learn to compute dense disparity maps directly from the stereo inputs. Training is(More)
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