Standout Papers
- Deep Residual Learning for Image Recognition (2016)
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (2016)
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (2015)
- Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition (2015)
- Focal Loss for Dense Object Detection (2018)
- Image Super-Resolution Using Deep Convolutional Networks (2015)
- Single Image Haze Removal Using Dark Channel Prior (2010)
- Guided Image Filtering (2012)
- Mask R-CNN (2018)
- R-FCN: Object Detection via Region-based Fully Convolutional Networks (2016)
- Single image haze removal using dark channel prior (2009)
- Mask R-CNN (2017)
- An Empirical Study of Training Self-Supervised Vision Transformers (2021)
- Accelerating Very Deep Convolutional Networks for Classification and Detection (2015)
Immediate Impact
19 by Nobel laureates 27 from Science/Nature 59 standout
Citing Papers
10 Years Development of Potassium‐Ion Batteries
2025 Standout
Automated model building and protein identification in cryo-EM maps
2024 StandoutNature
Works of Kaiming He being referenced
Polyimide@Ketjenblack Composite: A Porous Organic Cathode for Fast Rechargeable Potassium‐Ion Batteries
2020
Deep Residual Learning for Image Recognition
2016 Standout
Author Peers
| Author | Last Decade | Papers | Cites | |||
|---|---|---|---|---|---|---|
| Kaiming He | 91554 | 41209 | 22222 | 23 | 159.4k | |
| Shaoqing Ren | 75209 | 38344 | 15033 | 8 | 136.5k | |
| Jian Sun | 50466 | 30878 | 10445 | 46 | 98.5k | |
| Xiangyu Zhang | 55758 | 32544 | 11637 | 121 | 107.1k | |
| Geoffrey E. Hinton | 53749 | 68735 | 10617 | 197 | 191.0k | |
| Yann LeCun | 28495 | 32356 | 6060 | 101 | 94.7k | |
| Yoshua Bengio | 36948 | 48245 | 7279 | 298 | 127.8k | |
| Andrew Zisserman | 48425 | 17829 | 7985 | 245 | 73.1k | |
| Ilya Sutskever | 23870 | 26901 | 4226 | 33 | 68.3k | |
| Vladimir Vapnik | 23069 | 36800 | 5248 | 69 | 107.3k | |
| Ross Girshick | 31432 | 10012 | 5390 | 30 | 48.5k |
All Works
Login with ORCID to disown or claim papers
Loading papers...