Shengju Qian

Computer Vision and Pattern Recognition · 2021–2024

A researcher in the Science corpus: 2 papers; trusts 331 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 99 citations into it
• Artificial Intelligence — 81 citations into it
• Model Architectures — 22 citations into it
• Optimization & Training — 5 citations into it

Whom Shengju Qian trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ross B. Girshick
5. Yoshua Bengio
6. Diederik P. Kingma
7. Yann LeCun
8. Ilya Sutskever
9. Christian Szegedy
10. Sergey Ioffe

Who trusts Shengju Qian overall

1. Gaurav Parmar

Papers from Shengju Qian's perspective

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

Their papers

• Blending Anti-Aliasing into Vision Transformer (2021) — 29 citations
• Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning (2024) — 348 citations