Pooya Khorrami
Computer Vision and Pattern Recognition · 2014–2017
A researcher in the Science corpus: 5 papers; trusts 136 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 51 citations into it; #21,491 of 21,575 by trust here, #6,671 by citations
- Artificial Intelligence — 25 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Media Technology — 5 citations into it
Whom Pooya Khorrami trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Matthew D. Zeiler
- Yoshua Bengio
- Karen Simonyan
- Yann LeCun
- Kaiming He
- Diederik P. Kingma
- Ilya Sutskever
Who trusts Pooya Khorrami overall
- Sara Beery
- Prajit Ramachandran
- Zhongling Huang
- Anastasia Borovykh
- Kai Kang
- Fanyi Xiao
- Takuma Okamoto
- Yang Song
- Xin Eric Wang
- Jeffrey De Fauw
Papers from Pooya Khorrami's perspective
Ordered by how strongly the researchers Pooya Khorrami 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Fast Generation for Convolutional Autoregressive Models (2017) — 67 citations
- Seq-NMS for Video Object Detection (2016) — 323 citations
- Fast Wavenet Generation Algorithm (2016) — 88 citations
- An Analysis of Unsupervised Pre-training in Light of Recent Advances (2014) — 56 citations
- Foreground object detection in highly dynamic scenes using saliency (2014) — 6 citations