Shilong Zhang
Computer Vision and Pattern Recognition · 2021–2024
A researcher in the Science corpus: 5 papers; trusts 491 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 247 citations into it
- Artificial Intelligence — 183 citations into it
- Large Language Models — 52 citations into it
- Model Architectures — 30 citations into it
- Generative Models — 27 citations into it
- Hardware and Architecture — 6 citations into it
- Neurology — 6 citations into it
- Statistical and Nonlinear Physics — 5 citations into it
Whom Shilong Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- Tsung-Yi Lin
- Karen Simonyan
Who trusts Shilong Zhang overall
Papers from Shilong Zhang's perspective
Ordered by how strongly the researchers Shilong Zhang 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- 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
- GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest (2023) — 363 citations
- MultiModal-GPT: A Vision and Language Model for Dialogue with Humans (2023) — 328 citations
- Group Fisher Pruning for Practical Network Compression (2021) — 218 citations
- Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation (2024) — 767 citations
- RTMDet: An Empirical Study of Designing Real-Time Object Detectors (2022) — 862 citations