Yapeng Tian
Computer Vision and Pattern Recognition · IEEE transactions on multimedia · 2017–2023
A researcher in the Science corpus: 7 papers; trusts 1,003 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 349 citations into it; #4,780 of 21,575 by trust here, #2,506 by citations
- Media Technology — 162 citations into it; #561 of 3,621 by trust here, #136 by citations
- Artificial Intelligence — 82 citations into it
- Generative Models — 61 citations into it
- Model Architectures — 44 citations into it
- Evaluation & Benchmarks — 29 citations into it
- Signal Processing — 25 citations into it; #6,958 of 7,572 by trust here, #3,784 by citations
- Computational Mechanics — 22 citations into it
Whom Yapeng Tian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Karen Simonyan
- Jimmy Ba
- Ilya Sutskever
- Ross B. Girshick
Who trusts Yapeng Tian overall
- Jingyun Liang
- Kai Zhang
- Kelvin C. K. Chan
- Xintao Wang
- Jinjin Gu
- Ruohan Gao
- Yulun Zhang
- Chao Dong
- Radu Timofte
- Zhihao Hu
Papers from Yapeng Tian's perspective
Ordered by how strongly the researchers Yapeng Tian 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Audio-Visual Event Localization in Unconstrained Videos (2018) — 616 citations
- Residual Dense Network for Image Super-Resolution (2018) — 3,919 citations
- NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results (2017) — 1,901 citations
- Residual Dense Network for Image Restoration (2018) — 853 citations
- Deep Learning for Single Image Super-Resolution: A Brief Review (2018) — 1,052 citations
- TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution (2018) — 642 citations
- DiffIR: Efficient Diffusion Model for Image Restoration (2023) — 451 citations