Alex Kendall

Computer Vision and Pattern Recognition · with Badrinarayanan · 2021

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

Subfields

Whom Alex Kendall trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Alex Kendall's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Spatial Transformer Networks
  3. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
  4. Stochastic Variational Video Prediction
  5. IntentNet: Learning to Predict Intention from Raw Sensor Data (Conference on Robot Learning)
  6. PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings (IEEE International Conference on Computer Vision)
  7. Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
  8. Orthographic Feature Transform for Monocular 3D Object Detection (British Machine Vision Conference)
  9. Multiple Futures Prediction (Neural Information Processing Systems)
  10. CoverNet: Multimodal Behavior Prediction Using Trajectory Sets (Computer Vision and Pattern Recognition)

Their papers