Ka-Veng Yuen

Computer Vision and Pattern Recognition · 2001–2021

A researcher in the Science corpus: 14 papers; trusts 83 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it; #13,148 of 21,575 by trust here, #17,258 by citations
• Civil and Structural Engineering — 28 citations into it; #224 of 6,160 by trust here, #975 by citations
• Automotive Engineering — 22 citations into it
• Artificial Intelligence — 14 citations into it; #24,798 of 35,345 by trust here, #32,362 by citations
• Environmental Engineering — 14 citations into it
• Statistics and Probability — 12 citations into it; #1,482 of 12,932 by trust here, #2,214 by citations
• Signal Processing — 8 citations into it; #7,149 of 7,572 by trust here, #6,836 by citations
• Aerospace Engineering — 6 citations into it

Whom Ka-Veng Yuen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David G. Lowe
2. Zhengjian Bai
3. James L. Beck
4. Gareth Blake Loy
5. Hirotugu Akaike
6. Lambros S. Katafygiotis
7. Biswa Nath Datta
8. Mohan Manubhai Trivedi
9. Z. Kim
10. Navneet Dalal

Who trusts Ka-Veng Yuen overall

1. James L. Beck
2. Hao Sun
3. Z. Cao
4. Dianqing Li
5. Mi Tian
6. Oral Büyüköztürk
7. Ruiyang Zhang
8. Feng Ding
9. Jianye Ching
10. Sai Hung Cheung

Papers from Ka-Veng Yuen's perspective

Ordered by how strongly the researchers Ka-Veng Yuen trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Histograms of oriented gradients for human detection
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Distinctive Image Features from Scale-Invariant Keypoints
10. Long Short-Term Memory

Their papers

• Model Selection using Response Measurements: Bayesian Probabilistic Approach (2004) — 620 citations
• Bayesian time–domain approach for modal updating using ambient data (2001) — 143 citations
• Bayesian Methods for Structural Dynamics and Civil Engineering (2010) — 511 citations
• A Model-Driven Scheme to Compensate the Strain-Based Non-Intrusive Dynamic Pressure Measurement for Hydraulic Pipe (2021) — 417 citations
• Model updating and uncertainty analysis for creep behavior of soft soil (2018) — 59 citations
• Overview of Environment Perception for Intelligent Vehicles (2017) — 327 citations
• Online updating and uncertainty quantification using nonstationary output-only measurement (2016) — 95 citations
• Estimation of soil–water characteristic curve and relative permeability for granular soils with different initial dry densities (2014) — 89 citations
• Updating large models for mechanical systems using incomplete modal measurement (2012) — 74 citations
• Estimation of water retention curve of granular soils from particle-size distribution — a Bayesian probabilistic approach (2012) — 71 citations
• Prediction of daily averaged PM10 concentrations by statistical time-varying model (2009) — 50 citations
• Bayesian Probabilistic Approach for the Correlations of Compression Index for Marine Clays (2009) — 81 citations
• Selection of noise parameters for Kalman filter (2007) — 48 citations
• Spectral density estimation of stochastic vector processes (2002) — 79 citations