Lydia Manikonda
Computer Vision and Pattern Recognition · 2014–2020
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 43 citations into it; #18,134 of 21,575 by trust here, #12,689 by citations
- Generative Models — 33 citations into it
Whom Lydia Manikonda trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Lydia Manikonda overall
Papers from Lydia Manikonda's perspective
Ordered by how strongly the researchers Lydia Manikonda trusts endorse each paper. Same corpus, a different order for every researcher.
- GENERATIVE ADVERSARIAL NETS
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Histograms of oriented gradients for human detection
- ImageNet classification with deep convolutional neural networks
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
- 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
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)