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20172022
most citedUnsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency

105 citations · 372 across the 39 of their papers we have counts for

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5 papers · 1 filter

cs.CV2017★ 105 cited

Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency

Zhenheng Yang, Peng Wang, Wei Xu +2

Learning to reconstruct depths in a single image by watching unlabeled videos via deep convolutional network (DCN) is attracting significant attention in recent years. In this pape…

cs.CV2017★ 18 cited

Occlusion Aware Unsupervised Learning of Optical Flow

Yang Wang, Yi Yang, Zhenheng Yang +3

It has been recently shown that a convolutional neural network can learn optical flow estimation with unsupervised learning. However, the performance of the unsupervised methods st…

cs.LG2017

Unsupervised Learning Layers for Video Analysis

Liang Zhao, Yang Wang, Yi Yang +1

This paper presents two unsupervised learning layers (UL layers) for label-free video analysis: one for fully connected layers, and the other for convolutional ones. The proposed U…

math.OC2017★ 2 cited

Nonconvex Generalization of Alternating Direction Method of Multipliers for Nonlinear Equality Constrained Problems

Junxiang Wang, Liang Zhao

The classic Alternating Direction Method of Multipliers (ADMM) is a popular framework to solve linear-equality constrained problems. In this paper, we extend the ADMM naturally to…

cs.LG2017★ 19 cited

Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank

Liang Zhao, Siyu Liao, Yanzhi Wang +4

Recently low displacement rank (LDR) matrices, or so-called structured matrices, have been proposed to compress large-scale neural networks. Empirical results have shown that neura…