Ashwin R. Bharambe

Computer Vision and Pattern Recognition · 2004–2024

A researcher in the Science corpus: 4 papers; trusts 69 researchers and is trusted by 218 researchers here, as inferred from the citation graph.

Subfields

Whom Ashwin R. Bharambe trusts overall

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

  1. Jon M. Kleinberg
  2. Beth Cohen
  3. Dongyu Qiu
  4. Miguel Oom Temudo de Castro
  5. David R Karger
  6. John W. Byers
  7. Peter Druschel
  8. Antony Ian Taylor Rowstron
  9. Antonio Carzaniga
  10. Dejan Kostic

Who trusts Ashwin R. Bharambe overall

  1. John Risson
  2. Yury Malkov
  3. Haiyong Xie
  4. Michael Piatek
  5. Tim Moors
  6. Eleonora Borgia
  7. Arvind Krishnamurthy
  8. Kurt Shuster
  9. Alexander Ponomarenko
  10. Tomas Isdal

Papers from Ashwin R. Bharambe's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  5. Microsoft COCO: Common Objects in Context
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers