Tianjian Meng

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 224 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 93 citations into it
• Artificial Intelligence — 46 citations into it
• Model Architectures — 7 citations into it
• Optimization & Training — 7 citations into it

Whom Tianjian Meng trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Alex Krizhevsky
5. David G. Lowe
6. Shaoqing Ren
7. Andrew Zisserman
8. Yoshua Bengio
9. Karen Simonyan
10. Diederik P. Kingma

Who trusts Tianjian Meng overall

1. Senthil Purushwalkam
2. Christoph Feichtenhofer
3. Hao Hao Tan
4. Hassan Akbari
5. Jonathan C. Stroud
6. Irwan Bello
7. Haoqi Fan
8. Pedro Morgado
9. Jie Lei

Papers from Tianjian Meng's perspective

Ordered by how strongly the researchers Tianjian Meng 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
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

• Spatiotemporal Contrastive Video Representation Learning (2020) — 583 citations
• DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection (2022) — 531 citations