Jeff Bingham

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jeff Bingham trusts overall

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

  1. Reuven Y. Rubinstein

Papers from Jeff Bingham's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  3. Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
  4. FiLM: Visual Reasoning with a General Conditioning Layer
  5. ImageNet classification with deep convolutional neural networks
  6. Domain randomization for transferring deep neural networks from simulation to the real world
  7. Deep learning for detecting robotic grasps
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours
  10. QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Their papers