Kelvin C. K. Chan
Computer Vision and Pattern Recognition · 2019–2023
A researcher in the Science corpus: 7 papers; trusts 895 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 251 citations into it; #7,725 of 21,575 by trust here, #7,657 by citations
- Media Technology — 82 citations into it; #3,353 of 3,621 by trust here, #1,550 by citations
- Generative Models — 71 citations into it
- Artificial Intelligence — 40 citations into it
- Evaluation & Benchmarks — 24 citations into it
- Model Architectures — 18 citations into it
- Optimization & Training — 12 citations into it
- Computational Mechanics — 10 citations into it
Whom Kelvin C. K. Chan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Jimmy Ba
- Karen Simonyan
- Yann LeCun
- Ross B. Girshick
- Ilya Sutskever
Who trusts Kelvin C. K. Chan overall
- Jingyun Liang
- Zongsheng Yue
- Fanghua Yu
- Jianyi Wang
- X. Lin
- Chen Change Loy
- Shangchen Zhou
- Weihao Xia
- Jiezhang Cao
- Jingwen He
Papers from Kelvin C. K. Chan's perspective
Ordered by how strongly the researchers Kelvin C. K. Chan 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- 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
- EDVR: Video Restoration With Enhanced Deformable Convolutional Networks (2019) — 1,302 citations
- GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution (2020) — 302 citations
- Exploring CLIP for Assessing the Look and Feel of Images (2022) — 1,372 citations
- BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond (2020) — 663 citations
- Exploiting Diffusion Prior for Real-World Image Super-Resolution (2023) — 655 citations
- Towards Robust Blind Face Restoration with Codebook Lookup Transformer (2022) — 413 citations
- BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment (2021) — 642 citations