Ambrish Tyagi
Computer Vision and Pattern Recognition · 2007–2018
A researcher in the Science corpus: 3 papers; trusts 437 researchers and is trusted by 171 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 76 citations into it; #2,815 of 21,575 by trust here, #2,381 by citations
- Artificial Intelligence — 37 citations into it; #15,356 of 35,345 by trust here, #5,682 by citations
- Model Architectures — 14 citations into it
- Aerospace Engineering — 7 citations into it
- Optimization & Training — 6 citations into it
Whom Ambrish Tyagi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Andrew Zisserman
- David G. Lowe
- Yann LeCun
- Yoshua Bengio
- X. Zhang
Who trusts Ambrish Tyagi overall
Papers from Ambrish Tyagi's perspective
Ordered by how strongly the researchers Ambrish Tyagi 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
- 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
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- DSSD : Deconvolutional Single Shot Detector (2017) — 2,065 citations
- Context Encoding for Semantic Segmentation (2018) — 1,368 citations
- The CHIL audiovisual corpus for lecture and meeting analysis inside smart rooms (2007) — 115 citations