Jing Bai
Computer Vision and Pattern Recognition · with Ramani · 2016
A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 14 citations into it; #6,463 of 21,575 by trust here, #9,563 by citations
- Computational Mechanics — 13 citations into it; #2,088 of 10,001 by trust here, #2,644 by citations
- Computer Graphics and Computer-Aided Design — 9 citations into it; #334 of 1,584 by trust here, #554 by citations
Whom Jing Bai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xianfeng David Gu
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Jonathan Masci
- Davide Boscaini
- Michael S. Floater
- Ilya Sutskever
- Emil Praun
- Daniel Maturana
Who trusts Jing Bai overall
- Nitika Verma
- Zhiqin Chen
- Matan Atzmon
- Adrien Poulenard
- Ayan Sinha
- Thibault Groueix
- Edmond Boyer
- Shikun Liu
- Zhangjie Cao
- Yaron Lipman
Papers from Jing Bai's perspective
Ordered by how strongly the researchers Jing Bai 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Deep Learning 3D Shape Surfaces Using Geometry Images (2016) — 336 citations