Shuyang Sun
Computer Vision and Pattern Recognition · 2017–2022
A researcher in the Science corpus: 5 papers; trusts 703 researchers and is trusted by 42 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 206 citations into it; #4,875 of 21,575 by trust here, #1,755 by citations
- Artificial Intelligence — 103 citations into it
- Representation & Self-Supervised Learning — 20 citations into it
- Model Architectures — 19 citations into it
- Generative Models — 16 citations into it
- Optimization & Training — 10 citations into it
- Statistical and Nonlinear Physics — 6 citations into it
Whom Shuyang Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Ross B. Girshick
- Geoffrey E. Hinton
- Yann LeCun
- Christian Szegedy
- Yoshua Bengio
- Karen Simonyan
- Andrew Zisserman
- Diederik P. Kingma
Who trusts Shuyang Sun overall
- A. Piergiovanni
- Wenhao Wu
- Djamila Romaissa Beddiar
- Mirco Planamente
- Rameswar Panda
- Michael S. Ryoo
- Dongliang He
- Jiaming Han
- Chiara Plizzari
- Brahim Nini
Papers from Shuyang Sun's perspective
Ordered by how strongly the researchers Shuyang Sun trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Hybrid Task Cascade for Instance Segmentation (2019) — 1,537 citations
- MMDetection: Open MMLab Detection Toolbox and Benchmark (2019) — 3,471 citations
- Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion (2017) — 870 citations
- Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition (2017) — 322 citations
- Is synthetic data from generative models ready for image recognition? (2022) — 424 citations