Jianfeng Gao
Computer Vision and Pattern Recognition · International Conference on Learning Representations · 2023–2024
A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 73 citations into it
Whom Jianfeng Gao trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He (in Computer Vision and Pattern Recognition)
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
Papers from Jianfeng Gao's perspective
Ordered by how strongly the researchers Jianfeng Gao trusts endorse each paper. Same corpus, a different order for every researcher.
- Microsoft COCO: Common Objects in Context
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Language Models are Unsupervised Multitask Learners
- Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
- A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
- Representation Learning with Contrastive Predictive Coding
- VQA: Visual Question Answering
- Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
- Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning
Their papers
- A whole-slide foundation model for digital pathology from real-world data (2024) — 934 citations
- TrustLLM: Trustworthiness in Large Language Models (2024) — 353 citations
- BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs (2023) — 661 citations
- MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts (2023) — 1,741 citations