Guohai Xu
Computer Vision and Pattern Recognition · 2022–2023
A researcher in the Science corpus: 5 papers; trusts 398 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 — 177 citations into it
- Multimodal Learning — 130 citations into it
- Representation & Self-Supervised Learning — 36 citations into it
- Optimization & Training — 7 citations into it
Whom Guohai Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Ilya Sutskever
- Ross B. Girshick
- Yann LeCun
- Andrew Zisserman
- Jimmy Ba
Who trusts Guohai Xu overall
Papers from Guohai Xu's perspective
Ordered by how strongly the researchers Guohai Xu 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality (2023) — 1,270 citations
- mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections (2022) — 295 citations
- X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval (2022) — 500 citations
- CValues: Measuring the Values of Chinese Large Language Models from Safety to Responsibility (2023) — 108 citations
- HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training (2022) — 107 citations