Suyog Dutt Jain
Computer Vision and Pattern Recognition · 2013–2023
A researcher in the Science corpus: 4 papers; trusts 816 researchers and is trusted by 250 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 171 citations into it; #2,437 of 21,575 by trust here, #8,502 by citations
- Artificial Intelligence — 40 citations into it
- Evaluation & Benchmarks — 23 citations into it
- Aerospace Engineering — 13 citations into it
- Model Architectures — 9 citations into it
- 3D Vision & Pose — 7 citations into it
- Media Technology — 5 citations into it
Whom Suyog Dutt Jain trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Kaiming He
- Andrew Zisserman
- Jitendra Malik
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- David G. Lowe
- Pablo Arbeláez
- Yann LeCun
Who trusts Suyog Dutt Jain overall
- Dim P. Papadopoulos
- Wenguan Wang
- Olga Russakovsky
- Jasper R. R. Uijlings
- Vittorio Ferrari
- Ning Xu
- Kristen Grauman
- Anna Khoreva
- Paul Voigtlaender
- Mennatullah Siam
Papers from Suyog Dutt Jain's perspective
Ordered by how strongly the researchers Suyog Dutt 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos (2017) — 398 citations
- Predicting Sufficient Annotation Strength for Interactive Foreground Segmentation (2013) — 81 citations
- Click Carving: Segmenting Objects in Video with Point Clicks (2016) — 54 citations
- Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives (2023) — 529 citations