Jianbin Jiao

Computer Vision and Pattern Recognition · 2013–2021

A researcher in the Science corpus: 12 papers; trusts 1,276 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 361 citations into it; #8,558 of 21,575 by trust here, #3,692 by citations
• Artificial Intelligence — 217 citations into it
• Model Architectures — 57 citations into it; #1,340 of 2,278 by trust here, #1,433 by citations
• Representation & Self-Supervised Learning — 48 citations into it
• Evaluation & Benchmarks — 24 citations into it
• Aerospace Engineering — 23 citations into it; #2,139 of 6,421 by trust here, #1,425 by citations
• Media Technology — 22 citations into it
• Meta & Continual Learning — 20 citations into it

Whom Jianbin Jiao trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Yoshua Bengio
7. Yann LeCun
8. Ilya Sutskever
9. Andrew Zisserman
10. Diederik P. Kingma

Who trusts Jianbin Jiao overall

1. Diego Marcos
2. Lun Huang

Papers from Jianbin Jiao's perspective

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

Their papers

• Oriented Response Networks (2017) — 283 citations
• Weakly Supervised Instance Segmentation Using Class Peak Response (2018) — 294 citations
• Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification (2017) — 970 citations
• Conformer: Local Features Coupling Global Representations for Visual Recognition (2021) — 757 citations
• C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection (2019) — 258 citations
• Orientation robust object detection in aerial images using deep convolutional neural network (2015) — 386 citations
• Vision-Dialog Navigation by Exploring Cross-Modal Memory (2020) — 54 citations
• SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images (2019) — 316 citations
• Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation (2021) — 60 citations
• Prototype Mixture Models for Few-shot Semantic Segmentation (2020) — 480 citations
• Min-Entropy Latent Model for Weakly Supervised Object Detection (2018) — 230 citations
• Flexible aerogels based on an interpenetrating network of bacterial cellulose and silica by a non-supercritical drying process (2013) — 153 citations