Aditya Deshpande
Computer Vision and Pattern Recognition · 2015–2017
A researcher in the Science corpus: 2 papers; trusts 394 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 44 citations into it; #5,968 of 21,575 by trust here, #9,722 by citations
- Artificial Intelligence — 23 citations into it; #15,230 of 35,345 by trust here, #19,018 by citations
- Natural Language Processing — 21 citations into it
- Multimodal Learning — 14 citations into it; #541 of 1,211 by trust here, #892 by citations
- Evaluation & Benchmarks — 9 citations into it
- Model Architectures — 5 citations into it
Whom Aditya Deshpande trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Jerome H. Friedman
- Jitendra Malik
- Yoshua Bengio
- Kaiming He
- Karen Simonyan
- Alex Krizhevsky
- Ross B. Girshick
- Ilya Sutskever
- Antonio Torralba
Who trusts Aditya Deshpande overall
- Richard Zhang
- Senthil Purushwalkam
- Gustav Larsson
- Manoj Kumar
- Zezhou Cheng
- Pedro Morgado
- Marcella Cornia
- Phillip Isola
- Sergio Guadarrama
- Mohammed Bany Muhammad
Papers from Aditya Deshpande's perspective
Ordered by how strongly the researchers Aditya Deshpande trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Learning Large-Scale Automatic Image Colorization (2015) — 227 citations
- Convolutional Image Captioning (2017) — 401 citations