Junbin Wang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it

Whom Junbin Wang trusts overall

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

1. Ross B. Girshick

Papers from Junbin Wang's perspective

Ordered by how strongly the researchers Junbin Wang 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. Going deeper with convolutions
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
6. Gradient-based learning applied to document recognition
7. Fully convolutional networks for semantic segmentation
8. Visualizing and Understanding Convolutional Networks
9. Caffe: Convolutional Architecture for Fast Feature Embedding
10. Long Short-Term Memory

Their papers

• Angel-Eye: A Complete Design Flow for Mapping CNN Onto Embedded FPGA (2018) — 491 citations