56 citations · 58 across the 4 of their papers we have counts for
5 papers
Frequency-Aware Self-Supervised Monocular Depth Estimation
Xingyu Chen, Thomas H. Li, Ruonan Zhang +1
We present two versatile methods to generally enhance self-supervised monocular depth estimation (MDE) models. The high generalizability of our methods is achieved by solving the f…
Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem
Xingyu Chen, Ruonan Zhang, Ji Jiang +3
Self-supervised monocular depth estimation (MDE) models universally suffer from the notorious edge-fattening issue. Triplet loss, as a widespread metric learning strategy, has larg…
StructureFlow: Image Inpainting via Structure-aware Appearance Flow
Yurui Ren, Xiaoming Yu, Ruonan Zhang +3
Image inpainting techniques have shown significant improvements by using deep neural networks recently. However, most of them may either fail to reconstruct reasonable structures o…
The Quadratic Minimum Spanning Tree Problem and its Variations
Ante Ćustić, Ruonan Zhang, Abraham P. Punnen
The quadratic minimum spanning tree problem and its variations such as the quadratic bottleneck spanning tree problem, the minimum spanning tree problem with conflict pair constrai…
Bottleneck flows in networks
Abraham P. Punnen, Ruonan Zhang
The bottleneck network flow problem (BNFP) is a generalization of several well-studied bottleneck problems such as the bottleneck transportation problem (BTP), bottleneck assignmen…