Alykhan Tejani
Computer Vision and Pattern Recognition · 2014–2019
A researcher in the Science corpus: 5 papers; trusts 409 researchers and is trusted by 343 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 136 citations into it; #2,222 of 21,575 by trust here, #933 by citations
- Artificial Intelligence — 37 citations into it; #14,447 of 35,345 by trust here, #571 by citations
- Media Technology — 30 citations into it; #698 of 3,621 by trust here, #37 by citations
- Model Architectures — 13 citations into it
- Human-Computer Interaction — 11 citations into it; #505 of 2,253 by trust here, #355 by citations
- Efficiency & Compression — 10 citations into it
- Optimization & Training — 9 citations into it
- Cognitive Neuroscience — 8 citations into it
Whom Alykhan Tejani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yann LeCun
- Ross B. Girshick
- David G. Lowe
- Kaiming He
- Alex Krizhevsky
- Diederik P. Kingma
- Karen Simonyan
- Yoshua Bengio
- David Martinus Johannes Tax
Who trusts Alykhan Tejani overall
- Mahdi Rad
- Frank Michel
- Vincent Lepetit
- Guoguang Du
- Andreas Doumanoglou
- Tomas Hodan
- Sidak Pal Singh
- Chen Wang
- Paul Wohlhart
- Eric Brachmann
Papers from Alykhan Tejani's perspective
Ordered by how strongly the researchers Alykhan Tejani 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network (2016) — 12,248 citations
- PyTorch: An Imperative Style, High-Performance Deep Learning Library (2019) — 53,912 citations
- Latent Regression Forest: Structured Estimation of 3D Articulated Hand Posture (2014) — 421 citations
- Latent-Class Hough Forests for 3D Object Detection and Pose Estimation (2014) — 320 citations
- Faster gaze prediction with dense networks and Fisher pruning (2018) — 231 citations