Haroon Idrees
Computer Vision and Pattern Recognition · 2013–2018
A researcher in the Science corpus: 4 papers; trusts 499 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 103 citations into it; #6,790 of 21,575 by trust here, #5,680 by citations
- Artificial Intelligence — 64 citations into it; #9,808 of 35,345 by trust here, #7,858 by citations
- Biomedical Engineering — 17 citations into it
- Evaluation & Benchmarks — 5 citations into it
- Human-Computer Interaction — 5 citations into it
Whom Haroon Idrees trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Zisserman
- Kaiming He
- Karen Simonyan
- Geoffrey E. Hinton
- Pedro F. Felzenszwalb
- Alex Krizhevsky
- Ross B. Girshick
- Yann LeCun
- Yoshua Bengio
- David G. Lowe
Who trusts Haroon Idrees overall
- Vishwanath A. Sindagi
- Qi Wang
- Vishal M. Patel
- Xiaoheng Jiang
- Weizhe Liu
- Junyu Gao
- Zhiheng Ma
- Daniel Oñoro-Rubio
- Junting Pan
- Huidong Liu
Papers from Haroon Idrees's perspective
Ordered by how strongly the researchers Haroon Idrees 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- The THUMOS challenge on action recognition for videos "in the wild" (2016) — 902 citations
- Multi-source Multi-scale Counting in Extremely Dense Crowd Images (2013) — 1,019 citations
- Predicting the Where and What of Actors and Actions through Online Action Localization (2016) — 88 citations
- Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds (2018) — 831 citations