Mihir Jain
Computer Vision and Pattern Recognition · 2013–2016
A researcher in the Science corpus: 4 papers; trusts 598 researchers and is trusted by 852 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 132 citations into it; #1,489 of 21,575 by trust here, #3,692 by citations
- Artificial Intelligence — 66 citations into it; #32,250 of 35,345 by trust here, #15,004 by citations
- Biomedical Engineering — 10 citations into it
- Evaluation & Benchmarks — 9 citations into it
- Model Architectures — 8 citations into it
- Control and Systems Engineering — 5 citations into it
Whom Mihir Jain trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Navneet Dalal
- Cordelia Schmid
- Ivan Laptev
- Alex Krizhevsky
- Geoffrey E. Hinton
- Andrew Zisserman
- Heng Wang
- Karen Simonyan
- David G. Lowe
- Kaiming He
Who trusts Mihir Jain overall
- Basura Fernando
- Limin Wang
- Cordelia Schmid
- Philippe Weinzaepfel
- Efstratios Gavves
- Pascal Mettes
- Cees G. M. Snoek
- Michalis Vrigkas
- Yu Kong
- Yu Qiao
Papers from Mihir Jain's perspective
Ordered by how strongly the researchers Mihir Jain 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Action Localization with Tubelets from Motion (2014) — 304 citations
- Better Exploiting Motion for Better Action Recognition (2013) — 435 citations
- VideoLSTM convolves, attends and flows for action recognition (2016) — 484 citations
- What do 15,000 object categories tell us about classifying and localizing actions? (2015) — 190 citations