Hironori Hattori

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 2 papers; trusts 37 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #12,210 of 21,575 by trust here, #10,905 by citations

Whom Hironori Hattori trusts overall

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

1. Navneet Dalal
2. Bill Triggs
3. Pedro F. Felzenszwalb
4. Derek Hoiem
5. Piotr Doll'ar
6. Ross B. Girshick
7. Kristen Grauman
8. Christian Wojek
9. Javier Romero
10. Geoffrey R. Taylor

Who trusts Hironori Hattori overall

1. Sergey I. Nikolenko
2. Sara Beery
3. Hassan Abu Alhaija
4. Shiyu Huang
5. Rasheed Hussain
6. Grant Van Horn
7. Germán Ros
8. Gabriella Csurka
9. Grégory Rogez
10. Weichao Qiu

Papers from Hironori Hattori's perspective

Ordered by how strongly the researchers Hironori Hattori 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. ImageNet: A large-scale hierarchical image database
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Histograms of oriented gradients for human detection
10. Going deeper with convolutions

Their papers

• Learning scene-specific pedestrian detectors without real data (2015) — 146 citations
• Learning Scene-Specific Pedestrian Detectors without Real Data (2015)