Yao Wang
Computer Vision and Pattern Recognition · with Hou · 2014
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 12 citations into it
Whom Yao Wang trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Alexandru Cristian Telea (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- Richard Szeliski (in Computer Vision and Pattern Recognition)
- Daniel Scharstein (in Computer Vision and Pattern Recognition)
- Xiaoou Tang (in Computer Vision and Pattern Recognition)
Papers from Yao Wang's perspective
Ordered by how strongly the researchers Yao Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
- A large-scale hierarchical multi-view RGB-D object dataset
- Spatial-Depth Super Resolution for Range Images
- Guided Image Filtering
- Joint bilateral upsampling (ACM Transactions on Graphics)
- An Application of Markov Random Fields to Range Sensing (Neural Information Processing Systems)
- High quality depth map upsampling for 3D-TOF cameras
- A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors (IEEE Transactions on Pattern Analysis and Machine Intelligence)
- Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation (IEEE International Conference on Computer Vision)
- Patch Based Synthesis for Single Depth Image Super-Resolution
Their papers
- Color-Guided Depth Recovery From RGB-D Data Using an Adaptive Autoregressive Model (2014) — 307 citations