J. Hemanth
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 21 citations into it
Whom J. Hemanth trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Karen Simonyan (in Computer Vision and Pattern Recognition)
- Shaoqing Ren (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- X. Zhang (in Computer Vision and Pattern Recognition)
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Paul A. Viola (in Computer Vision and Pattern Recognition)
- Trevor Darrell (in Computer Vision and Pattern Recognition)
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
- Jitendra Malik (in Computer Vision and Pattern Recognition)
Papers from J. Hemanth's perspective
Ordered by how strongly the researchers J. Hemanth trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Caffe: Convolutional Architecture for Fast Feature Embedding
- SSD: Single Shot MultiBox Detector
- ImageNet classification with deep convolutional neural networks
- TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
- Gradient-based learning applied to document recognition
- MobileNetV2: Inverted Residuals and Linear Bottlenecks
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory