Roozbeh Jafari

Computer Vision and Pattern Recognition · 2009–2016

A researcher in the Science corpus: 8 papers; trusts 330 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 99 citations into it; #4,477 of 21,575 by trust here, #5,236 by citations
• Human-Computer Interaction — 34 citations into it; #165 of 2,253 by trust here, #243 by citations
• Biomedical Engineering — 31 citations into it; #380 of 10,734 by trust here, #1,978 by citations
• Artificial Intelligence — 22 citations into it
• 3D Vision & Pose — 13 citations into it
• Evaluation & Benchmarks — 7 citations into it; #1,093 of 3,147 by trust here, #1,934 by citations
• Multimodal Learning — 5 citations into it

Whom Roozbeh Jafari trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ivan Laptev
2. Cheng Chen
3. Kui Liu
4. Christian Schüldt
5. Nasser Kehtarnavaz
6. C. Burges
7. Ferda Ofli
8. Wanqing Li
9. Cordelia Schmid
10. Marcin Marszalek

Who trusts Roozbeh Jafari overall

1. Mengyuan Liu
2. Nasser Kehtarnavaz
3. Cheng Chen
4. Neha Dawar
5. Zehua Sun
6. Jun Liu
7. Hong Liu
8. Pichao Wang
9. Yonghong Hou
10. Liliana Lo Presti

Papers from Roozbeh Jafari's perspective

Ordered by how strongly the researchers Roozbeh Jafari trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Distributed recognition of human actions using wearable motion sensor networks (2009) — 224 citations
• UTD-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and a wearable inertial sensor (2015) — 772 citations
• A Real-Time Human Action Recognition System Using Depth and Inertial Sensor Fusion (2016) — 159 citations
• Improving Human Action Recognition Using Fusion of Depth Camera and Inertial Sensors (2015) — 252 citations
• A survey of depth and inertial sensor fusion for human action recognition (2015) — 332 citations
• Fusion of Inertial and Depth Sensor Data for Robust Hand Gesture Recognition (2014) — 159 citations
• Fusion of depth, skeleton, and inertial data for human action recognition (2016) — 66 citations
• Enabling Effective Programming and Flexible Management of Efficient Body Sensor Network Applications (2013) — 388 citations