K. Yu

Artificial Intelligence · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2004–2023

A researcher in the Science corpus: 17 papers; trusts 861 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 165 citations into it; #12,200 of 35,345 by trust here, #16,771 by citations
• Computer Vision and Pattern Recognition — 165 citations into it; #6,283 of 21,575 by trust here, #3,645 by citations
• Signal Processing — 100 citations into it; #2,359 of 7,572 by trust here, #3,784 by citations
• Speech & Audio — 100 citations into it
• Media Technology — 72 citations into it
• Generative Models — 70 citations into it
• Molecular Biology — 36 citations into it
• Model Architectures — 30 citations into it

Whom K. Yu trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Yoshua Bengio
6. Jimmy Ba
7. Heiga Zen
8. Yann LeCun
9. Karen Simonyan
10. Ilya Sutskever

Who trusts K. Yu overall

1. Chenpeng Du
2. Yiwei Guo
3. Xintao Wang
4. Kelvin C. K. Chan
5. Jinjin Gu
6. Chao Dong
7. Ke-Li Xu
8. Hyung-Seok Oh
9. Zhihao Wang
10. Liangbin Xie

Papers from K. Yu's perspective

Ordered by how strongly the researchers K. Yu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform (2018) — 1,184 citations
• NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results (2017) — 1,901 citations
• Deep Network Interpolation for Continuous Imagery Effect Transition (2018) — 113 citations
• EDVR: Video Restoration With Enhanced Deformable Convolutional Networks (2019) — 1,302 citations
• VQTTS: High-Fidelity Text-to-Speech Synthesis with Self-Supervised VQ Acoustic Feature (2022) — 68 citations
• UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding (2023) — 66 citations
• Likelihood-Based Local Linear Estimation of the Conditional Variance Function (2004) — 111 citations
• MYB72-dependent coumarin exudation shapes root microbiome assembly to promote plant health (2018) — 812 citations
• DiffVoice: Text-to-Speech with Latent Diffusion (2023) — 32 citations
• Towards Universal Speech Discrete Tokens: A Case Study for ASR and TTS (2023) — 48 citations
• Phone-Level Prosody Modelling With GMM-Based MDN for Diverse and Controllable Speech Synthesis (2021) — 24 citations
• Rich Prosody Diversity Modelling with Phone-Level Mixture Density Network (2021) — 18 citations
• Acoustic Word Embeddings for End-to-End Speech Synthesis (2021) — 4 citations
• Targeting KRAS Mutant Cancers with a Covalent G12C-Specific Inhibitor. (2018) — 993 citations
• Disease-induced assemblage of a plant-beneficial bacterial consortium (2018) — 857 citations
• Asset Allocation and Risk Assessment with Gross Exposure Constraints for Vast Portfolios (2008) — 69 citations
• Assessment of heavy metal pollution in surface soils of urban parks in Beijing, China. (2005) — 823 citations