Vivek Rathod
Computer Vision and Pattern Recognition · 2015–2017
A researcher in the Science corpus: 6 papers; trusts 389 researchers and is trusted by 462 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 103 citations into it; #1,982 of 21,575 by trust here, #1,977 by citations
- Artificial Intelligence — 57 citations into it
- Model Architectures — 20 citations into it
- Optimization & Training — 10 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Signal Processing — 6 citations into it
- Information Systems — 5 citations into it
Whom Vivek Rathod trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Christian Szegedy
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yann LeCun
- Shaoqing Ren
- Karen Simonyan
- Yoshua Bengio
- Ilya Sutskever
Who trusts Vivek Rathod overall
- Kaiming He
- Liang-Chieh Chen
- Chen Sun
- Quoc V. Le
- Xinlei Chen
- Abhinav Kumar Gupta
- Barret Zoph
- Ross B. Girshick
- Shifeng Zhang
- Jean-Baptiste Alayrac
Papers from Vivek Rathod's perspective
Ordered by how strongly the researchers Vivek Rathod 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
- Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors (2016) — 2,700 citations
- Semantic Instance Segmentation via Deep Metric Learning (2017) — 204 citations
- What’s Cookin’? Interpreting Cooking Videos using Text, Speech and Vision (2015) — 163 citations
- Im2Calories: Towards an Automated Mobile Vision Food Diary (2015) — 481 citations
- Deep Metric Learning via Facility Location (2016) — 304 citations
- G-RMI Object Detection (2016)