Huadong Ma
Computer Vision and Pattern Recognition · 2014–2020
A researcher in the Science corpus: 8 papers; trusts 363 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 82 citations into it; #11,671 of 21,575 by trust here, #9,563 by citations
- Artificial Intelligence — 33 citations into it
- Model Architectures — 12 citations into it
- Media Technology — 8 citations into it; #1,676 of 3,621 by trust here, #1,242 by citations
- Signal Processing — 7 citations into it
- Optimization & Training — 6 citations into it
- Automotive Engineering — 5 citations into it
Whom Huadong Ma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Kaiming He
- Christian Szegedy
- Yann LeCun
- Ilya Sutskever
- Yoshua Bengio
- Diederik P. Kingma
Who trusts Huadong Ma overall
Papers from Huadong Ma's perspective
Ordered by how strongly the researchers Huadong Ma 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)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Large-scale vehicle re-identification in urban surveillance videos (2016) — 545 citations
- A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance (2016) — 566 citations
- Opportunities in mobile crowd sensing (2014) — 467 citations
- How to crowdsource tasks truthfully without sacrificing utility: Online incentive mechanisms with budget constraint (2014) — 358 citations
- Understanding Operational 5G: A First Measurement Study on Its Coverage, Performance and Energy Consumption (2020) — 317 citations
- PROVID: Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance (2018) — 395 citations
- KTAN: Knowledge Transfer Adversarial Network (2018) — 29 citations
- Deep Learning Based Intelligent Basketball Arena with Energy Image (2017) — 6 citations