Yi Zhu
Computer Vision and Pattern Recognition · with Li · 2009–2023
A researcher in the Science corpus: 8 papers; trusts 945 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 246 citations into it; #18,709 of 21,575 by trust here, #7,421 by citations
- Artificial Intelligence — 173 citations into it; #30,538 of 35,345 by trust here, #14,718 by citations
- Model Architectures — 65 citations into it
- Reinforcement Learning — 34 citations into it
- Natural Language Processing — 29 citations into it
- Multimodal Learning — 28 citations into it; #1,009 of 1,211 by trust here, #892 by citations
- Representation & Self-Supervised Learning — 17 citations into it
- Aerospace Engineering — 14 citations into it
Whom Yi Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- Karen Simonyan
- Andrew Zisserman
Who trusts Yi Zhu overall
- Jiafei Duan
- Xin Ye
- Erico Tjoa
- Samson Yu
- Bowen Cheng
- Jiwoon Ahn
- Mickaël Chen
- Weicheng Kuo
- Hisham Cholakkal
Papers from Yi Zhu's perspective
Ordered by how strongly the researchers Yi Zhu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks (2019) — 286 citations
- Weakly Supervised Instance Segmentation Using Class Peak Response (2018) — 294 citations
- VidTr: Video Transformer Without Convolutions (2021) — 226 citations
- Blending Anti-Aliasing into Vision Transformer (2021) — 29 citations
- Vision-Dialog Navigation by Exploring Cross-Modal Memory (2020) — 54 citations
- Towards Geospatial Foundation Models via Continual Pretraining (2023) — 156 citations
- Earthformer: Exploring Space-Time Transformers for Earth System Forecasting (2022) — 356 citations
- Effects of dynamic electropulsing on microstructure and elongation of a Zn–Al alloy (2009) — 167 citations