Mohit Bansal

Computer Vision and Pattern Recognition · with Wang · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohit Bansal trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Chin-Yew Lin (in Evaluation & Benchmarks)
  2. C. Lawrence Zitnick (in Computer Vision and Pattern Recognition)
  3. Yoshua Bengio (in Computer Vision and Pattern Recognition)
  4. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  5. Trevor Darrell (in Computer Vision and Pattern Recognition)
  6. Kaiming He (in Computer Vision and Pattern Recognition)
  7. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  8. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  9. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Mohit Bansal's perspective

Ordered by how strongly the researchers Mohit Bansal trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet: A large-scale hierarchical image database
  2. Microsoft COCO: Common Objects in Context
  3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. Bleu: a Method for Automatic Evaluation of Machine Translation
  5. Extracting and composing robust features with denoising autoencoders
  6. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Im2Text: Describing Images Using 1 Million Captioned Photographs
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers