Hanspeter Pfister

Computer Vision and Pattern Recognition · with Li · 2023

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hanspeter Pfister trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Deva Ramanan (in Computer Vision and Pattern Recognition)
  4. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  6. Jitendra Malik (in Computer Vision and Pattern Recognition)
  7. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  8. Ilya Sutskever (in Computer Vision and Pattern Recognition)

Papers from Hanspeter Pfister's perspective

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

  1. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Instant neural graphics primitives with a multiresolution hash encoding
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Emerging Properties in Self-Supervised Vision Transformers (IEEE International Conference on Computer Vision)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. 3D Gaussian Splatting for Real-Time Radiance Field Rendering (ACM Transactions on Graphics)
  9. D-NeRF: Neural Radiance Fields for Dynamic Scenes (Computer Vision and Pattern Recognition)
  10. Language-driven Semantic Segmentation

Their papers