Kaishun Wu
Electrical and Electronic Engineering · 2012–2019
A researcher in the Science corpus: 6 papers; trusts 30 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 44 citations into it; #2,085 of 16,539 by trust here, #5,046 by citations
- Computer Vision and Pattern Recognition — 43 citations into it; #8,284 of 21,575 by trust here, #12,992 by citations
- Computer Networks and Communications — 35 citations into it; #3,736 of 9,886 by trust here, #4,950 by citations
- Media Technology — 16 citations into it
- Artificial Intelligence — 14 citations into it
- Aerospace Engineering — 10 citations into it
- Ocean Engineering — 9 citations into it; #1,223 of 3,193 by trust here, #839 by citations
- Evaluation & Benchmarks — 8 citations into it
Whom Kaishun Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zhou Wang
- A. Bovik
- Paramvir Victor Bahl
- Eero P. Simoncelli
- Moustafa Youssef
- Khaled Fazel
- Daniel Halperin
- Chih-Jen Lin
- Qiang Li
- Leo Breiman
Who trusts Kaishun Wu overall
- Xuyu Wang
- Yuxi Wang
- Yaxiong Xie
- Jiang Xiao
- Wen Wang
- Zimu Zhou
- Lingjun Gao
- Zheng Yang
- Lionel Ming-shuan Ni
- Alex X. Liu
Papers from Kaishun Wu's perspective
Ordered by how strongly the researchers Kaishun Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Image quality assessment: from error visibility to structural similarity
- Information Theory: 1948-1998 - Guest Editorial
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
- Image information and visual quality
Their papers
- FILA: Fine-grained indoor localization (2012) — 385 citations
- Artificial-Intelligence-Enabled Intelligent 6G Networks (2019) — 438 citations
- WiFall: Device-free fall detection by wireless networks (2017) — 973 citations
- We Can Hear You with Wi-Fi! (2014) — 501 citations
- CSI-Based Indoor Localization (2013) — 502 citations
- From QoS to QoE: A Tutorial on Video Quality Assessment (2015) — 339 citations