Jiezhang Cao

Computer Vision and Pattern Recognition · 2018–2023

A researcher in the Science corpus: 6 papers; trusts 561 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 205 citations into it; #16,403 of 21,575 by trust here, #10,010 by citations
• Media Technology — 82 citations into it
• Generative Models — 52 citations into it
• Artificial Intelligence — 51 citations into it
• Model Architectures — 18 citations into it
• Computational Mechanics — 14 citations into it
• Optimization & Training — 12 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it

Whom Jiezhang Cao trusts overall

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

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

Who trusts Jiezhang Cao overall

1. Yong Guo
2. Fengda Zhu
3. Linchao Zhu

Papers from Jiezhang Cao's perspective

Ordered by how strongly the researchers Jiezhang Cao 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. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• VRT: A Video Restoration Transformer (2022) — 422 citations
• Adversarial Learning with Local Coordinate Coding (2018) — 39 citations
• Denoising Diffusion Models for Plug-and-Play Image Restoration (2023) — 452 citations
• Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution (2020) — 319 citations
• From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification (2019) — 70 citations
• Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss (2018) — 17 citations