Tianzhu Zhang

Computer Vision and Pattern Recognition · 2012–2021

A researcher in the Science corpus: 16 papers; trusts 1,334 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 505 citations into it; #4,126 of 21,575 by trust here, #2,322 by citations
• Artificial Intelligence — 120 citations into it
• Aerospace Engineering — 54 citations into it
• Biomedical Engineering — 40 citations into it
• Multimodal Learning — 39 citations into it
• Model Architectures — 28 citations into it
• Electrical and Electronic Engineering — 21 citations into it; #4,454 of 16,539 by trust here, #7,892 by citations
• Media Technology — 21 citations into it; #1,450 of 3,621 by trust here, #1,171 by citations

Whom Tianzhu Zhang trusts overall

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

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

Who trusts Tianzhu Zhang overall

1. Yu Zhang
2. Hakan Bilen
3. Hyeonseob Nam
4. Sylvestre-Alvise Rebuffi
5. Ming-Hsuan Yang
6. Andrea Vedaldi
7. Bohyung Han
8. Qiang Yang
9. Xingping Dong
10. Naiyan Wang

Papers from Tianzhu Zhang's perspective

Ordered by how strongly the researchers Tianzhu Zhang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• The Visual Object Tracking VOT2015 Challenge Results (2015) — 901 citations
• The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
• Robust Visual Tracking via Structured Multi-Task Sparse Learning (2012) — 427 citations
• Hi, magic closet, tell me what to wear! (2012) — 287 citations
• Multi-task Correlation Particle Filter for Robust Object Tracking (2017) — 403 citations
• Robust visual tracking via multi-task sparse learning (2012) — 724 citations
• The Sixth Visual Object Tracking VOT2018 Challenge Results (2018) — 797 citations
• RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment (2019) — 477 citations
• Multi-Modality Cross Attention Network for Image and Sentence Matching (2020) — 451 citations
• Cross-Modality Person Re-Identification With Shared-Specific Feature Transfer (2020) — 349 citations
• Diverse Part Discovery: Occluded Person Re-identification with Part-Aware Transformer (2021) — 401 citations
• Geometry Uncertainty Projection Network for Monocular 3D Object Detection (2021) — 302 citations
• Online Multi-Expert Learning for Visual Tracking (2020) — 29 citations
• Graph Structured Network for Image-Text Matching (2020) — 305 citations
• Attention Scaling for Crowd Counting (2020) — 307 citations
• Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification (2020) — 369 citations