Debaleena Chattopadhyay

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Debaleena Chattopadhyay trusts overall

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

  1. Andrew Zisserman
  2. Michael S. Ryoo
  3. Jake K. Aggarwal

Who trusts Debaleena Chattopadhyay overall

  1. Jun Liu
  2. Qiuhong Ke
  3. De-An Huang
  4. Cuiling Lan
  5. Pengfei Zhang

Papers from Debaleena Chattopadhyay's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Learning realistic human actions from movies
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Recognizing human actions: a local SVM approach
  5. HMDB: A large video database for human motion recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Real-time human pose recognition in parts from single depth images
  10. Actions as space-time shapes

Their papers