Zhiqi Li
Computer Vision and Pattern Recognition · 2021–2024
A researcher in the Science corpus: 5 papers; trusts 441 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 196 citations into it
- Artificial Intelligence — 106 citations into it
- Model Architectures — 56 citations into it
- Optimization & Training — 9 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
Whom Zhiqi Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Tsung-Yi Lin
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Piotr Doll'ar
- Yann LeCun
- Diederik P. Kingma
- Shaoqing Ren
Who trusts Zhiqi Li overall
- Xueyan Zou
- Yunpeng Zhang
- Junjie Huang
- Kashyap Chitta
- Chonghao Sima
- Hao Zhang
- Bencheng Liao
- Li Chen
- Jianwei Yang
- Ting-Li Chen
Papers from Zhiqi Li's perspective
Ordered by how strongly the researchers Zhiqi Li 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)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers (2021) — 191 citations
- InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions (2022) — 1,149 citations
- Panoptic SegFormer (2021)
- BEVFormer: Learning Bird’s-Eye-View Representation From LiDAR-Camera via Spatiotemporal Transformers (2024) — 491 citations
- BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers (2022) — 1,985 citations