Yuichiro Ohe

Computer Vision and Pattern Recognition · 2005–2022

A researcher in the Science corpus: 8 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuichiro Ohe trusts

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

  1. Ning Qian (in Optimization & Training)
  2. Karen Simonyan (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Yuichiro Ohe's perspective

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

  1. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. SSD: Single Shot MultiBox Detector
  4. Chainer : a Next-Generation Open Source Framework for Deep Learning
  5. Prospective randomized trial of docetaxel versus best supportive care in patients with non-small-cell lung cancer previously treated with platinum-based chemotherapy. (Journal of Clinical Oncology)
  6. Erlotinib versus standard chemotherapy as first-line treatment for European patients with advanced EGFR mutation-positive non-small-cell lung cancer (EURTAC): a multicentre, open-label, randomised… (The Lancet Oncology)
  7. Preclinical Comparison of Osimertinib with Other EGFR-TKIs in EGFR-Mutant NSCLC Brain Metastases Models, and Early Evidence of Clinical Brain Metastases Activity (Clinical Cancer Research)
  8. On the momentum term in gradient descent learning algorithms
  9. Dermatologist-level classification of skin cancer with deep neural networks
  10. Erlotinib versus chemotherapy as first-line treatment for patients with advanced EGFR mutation-positive non-small-cell lung cancer (OPTIMAL, CTONG-0802): a multicentre, open-label, randomised, phase… (The Lancet Oncology)

Their papers