Adithya Iyer
Computer Vision and Pattern Recognition · 2024
A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 64 citations into it
Whom Adithya Iyer 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)
- Saining Xie (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Piotr Doll'ar (in Computer Vision and Pattern Recognition)
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
- Li Fei-Fei (in Computer Vision and Pattern Recognition)
- Jitendra Malik (in Computer Vision and Pattern Recognition)
- Shaoqing Ren (in Computer Vision and Pattern Recognition)
- Yann LeCun (in Computer Vision and Pattern Recognition)
Papers from Adithya Iyer's perspective
Ordered by how strongly the researchers Adithya Iyer trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet Large Scale Visual Recognition Challenge
- Microsoft COCO: Common Objects in Context
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
- Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
- Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Training Compute-Optimal Large Language Models (Advances in Neural Information Processing Systems 35)
Their papers
- Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs (2024) — 900 citations