Alex Zihao Zhu
Electrical and Electronic Engineering · 2018
A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 22 citations into it; #3,712 of 16,539 by trust here, #8,038 by citations
- Computer Vision and Pattern Recognition — 21 citations into it; #17,448 of 21,575 by trust here, #17,757 by citations
- Aerospace Engineering — 13 citations into it; #4,244 of 6,421 by trust here, #3,911 by citations
- Cognitive Neuroscience — 7 citations into it
- Media Technology — 5 citations into it
Whom Alex Zihao Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Edwin Olson
- Simon Meister
- Jason J. Yu
- Patrick Bardow
- Paul Timothy Furgale
- Ryad Benosman
- Xavier Lagorce
- Stefan Roth
- Deqing Sun
- Ji Zhang
Who trusts Alex Zihao Zhu overall
- Henri Rebecq
- Daniel Gehrig
- Davide Scaramuzza
- Guillermo Gallego
- Etienne Perot
- Mathias Gehrig
- Tobi Delbruck
- Yuhuang Hu
- Pierre de Tournemire
- Willem Aarents
Papers from Alex Zihao Zhu's perspective
Ordered by how strongly the researchers Alex Zihao Zhu 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- 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)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras (2018) — 537 citations
- The Multivehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception (2018) — 621 citations
- Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion (2018) — 710 citations