Dinglong Huang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Artificial Intelligence — 20 citations into it
• Model Architectures — 8 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Dinglong Huang trusts overall

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

1. Christian Szegedy

Papers from Dinglong Huang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet: A large-scale hierarchical image database
3. Going deeper with convolutions
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Microsoft COCO: Common Objects in Context
7. Rethinking the Inception Architecture for Computer Vision
8. Fully convolutional networks for semantic segmentation
9. ImageNet classification with deep convolutional neural networks
10. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Their papers

• CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images (2018) — 383 citations