Nirmit V. Desai
Computer Vision and Pattern Recognition · 2016
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 16 citations into it
- Artificial Intelligence — 5 citations into it
Whom Nirmit V. Desai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Nirmit V. Desai's perspective
Ordered by how strongly the researchers Nirmit V. Desai trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Caffe: Convolutional Architecture for Fast Feature Embedding
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Selective Search for Object Recognition
- Attention is All you Need (Neural Information Processing Systems)