Luming Tang

Computer Vision and Pattern Recognition · 2017–2025

A researcher in the Science corpus: 6 papers; trusts 569 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 200 citations into it
• Artificial Intelligence — 104 citations into it
• Representation & Self-Supervised Learning — 39 citations into it
• Generative Models — 35 citations into it
• Evaluation & Benchmarks — 22 citations into it
• Meta & Continual Learning — 11 citations into it
• 3D Vision & Pose — 10 citations into it
• Aerospace Engineering — 10 citations into it

Whom Luming Tang trusts overall

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

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

Who trusts Luming Tang overall

1. Da-Wei Zhou
2. Renrui Zhang
3. Yujun Shi
4. Xingyu Fu
5. Kaiwen Zhang
6. Muhammad Uzair Khattak
7. Yi-Lin Sung
8. Yabin Wang
9. Beomyoung Kim

Papers from Luming Tang's perspective

Ordered by how strongly the researchers Luming Tang 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

• Magic3D: High-Resolution Text-to-3D Content Creation (2022) — 1,645 citations
• Visual Prompt Tuning (2022) — 2,722 citations
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
• Emergent Correspondence from Image Diffusion (2023) — 511 citations
• Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks (2020) — 315 citations
• Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification (2017) — 359 citations