Takeshi Mita

Computer Vision and Pattern Recognition · 2005–2010

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it; #12,968 of 21,575 by trust here, #19,766 by citations

Whom Takeshi Mita trusts overall

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

1. Robert E. Schapire
2. Paul A. Viola
3. Kah Kay Sung
4. Rainer Lienhart
5. S. Li
6. Henry A. Rowley
7. Constantine Papageorgiou
8. Tomaso A. Poggio
9. Athinodoros S. Georghiades
10. Yoram Singer

Who trusts Takeshi Mita overall

1. Cha Zhang
2. Zeynep Akata
3. Stefanos P. Zafeiriou
4. Rahaf Aljundi
5. Trevor Darrell
6. Binh Yang
7. Zhengyou Zhang
8. Mohamed Elhoseiny
9. Chang Huang
10. Yongqin Xian

Papers from Takeshi Mita's perspective

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

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

Their papers

• Joint Haar-like features for face detection (2005) — 365 citations
• Caltech-UCSD Birds 200 (2010) — 1,411 citations