Heng Qi

Computer Vision and Pattern Recognition · with Li · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Heng Qi trusts

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

  1. Karen Simonyan (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. François Chollet (in Computer Vision and Pattern Recognition)

Papers from Heng Qi's perspective

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

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
  3. Two-Stream Convolutional Networks for Action Recognition in Videos
  4. Xception: Deep Learning with Depthwise Separable Convolutions
  5. Convolutional Sequence to Sequence Learning
  6. Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
  7. CNN architectures for large-scale audio classification
  8. DevNet: A Deep Event Network for multimedia event detection and evidence recounting
  9. ImageNet classification with deep convolutional neural networks
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers