Zhixin Wang
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 310 researchers and is trusted by 32 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 25 citations into it; #5,077 of 21,575 by trust here, #11,286 by citations
- Aerospace Engineering — 14 citations into it; #697 of 6,421 by trust here, #2,449 by citations
- Geology — 10 citations into it; #87 of 687 by trust here, #324 by citations
- Computational Mechanics — 9 citations into it
- Environmental Engineering — 8 citations into it
- 3D Vision & Pose — 6 citations into it
Whom Zhixin Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Bo Li
- Charles Ruizhongtai Qi
- Shuran Song
- Geoffrey E. Hinton
- Alex Krizhevsky
- Tsung-Yi Lin
- Shaoqing Ren
- Yann LeCun
Who trusts Zhixin Wang overall
- Shaoshuai Shi
- Zhe Wang
- Rui Qian
- Chunwei Wang
- Zetong Yang
- Sourabh Vora
- Jin Hyeok Yoo
- Guoguang Du
- Chenhang He
- Xuanyao Chen
Papers from Zhixin Wang's perspective
Ordered by how strongly the researchers Zhixin Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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
- Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal (2019) — 501 citations