Gengwei Zhang

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 5 papers; trusts 711 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 181 citations into it; #21,073 of 21,575 by trust here, #12,419 by citations
• Artificial Intelligence — 132 citations into it; #34,667 of 35,345 by trust here, #19,439 by citations
• Meta & Continual Learning — 38 citations into it
• Model Architectures — 31 citations into it
• Representation & Self-Supervised Learning — 26 citations into it
• Optimization & Training — 12 citations into it

Whom Gengwei Zhang trusts overall

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

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

Who trusts Gengwei Zhang overall

1. Amir Bar
2. Xiangtai Li
3. Liyuan Wang
4. Guoliang Kang
5. Yunchao Wei
6. Liang-Chieh Chen
7. Yossi Gandelsman

Papers from Gengwei Zhang's perspective

Ordered by how strongly the researchers Gengwei 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. 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

• Few-Shot Segmentation via Cycle-Consistent Transformer (2021) — 271 citations
• Bidirectional Graph Reasoning Network for Panoptic Segmentation (2020) — 60 citations
• SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model (2023) — 207 citations
• Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism (2022) — 46 citations
• Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation (2020) — 21 citations