Gyanendra Kumar Verma
Computer Vision and Pattern Recognition · 2014–2019
A researcher in the Science corpus: 2 papers; trusts 650 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 70 citations into it
- Artificial Intelligence — 42 citations into it
- Experimental and Cognitive Psychology — 13 citations into it
- Model Architectures — 13 citations into it
- Signal Processing — 9 citations into it
- Social Psychology — 8 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Gyanendra Kumar Verma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Yann LeCun
- Yoshua Bengio
- Karen Simonyan
- Ilya Sutskever
- Diederik P. Kingma
- Christian Szegedy
Who trusts Gyanendra Kumar Verma overall
Papers from Gyanendra Kumar Verma's perspective
Ordered by how strongly the researchers Gyanendra Kumar Verma 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge