Vishwesh Nath
Computer Vision and Pattern Recognition · 2021–2022
A researcher in the Science corpus: 3 papers; trusts 94 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 79 citations into it
- Artificial Intelligence — 49 citations into it
- Neurology — 11 citations into it
Whom Vishwesh Nath trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andriy Myronenko
- Kaiming He
- Geoffrey E. Hinton
- Evan Shelhamer
- Alex Krizhevsky
- Dmitry Ulyanov
- Ross B. Girshick
- Diederik P. Kingma
- Ze Liu
- Yoshua Bengio
Who trusts Vishwesh Nath overall
Papers from Vishwesh Nath's perspective
Ordered by how strongly the researchers Vishwesh Nath 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
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images (2022) — 2,376 citations
- MONAI: An open-source framework for deep learning in healthcare (2022) — 996 citations
- Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis (2021) — 876 citations