Zhenheng Yang
Computer Vision and Pattern Recognition · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2017–2020
A researcher in the Science corpus: 7 papers; trusts 1,090 researchers and is trusted by 95 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 224 citations into it; #3,287 of 21,575 by trust here, #4,174 by citations
- Artificial Intelligence — 85 citations into it; #11,328 of 35,345 by trust here, #15,004 by citations
- Media Technology — 38 citations into it
- Model Architectures — 37 citations into it
- Aerospace Engineering — 23 citations into it
- Optimization & Training — 16 citations into it
- Evaluation & Benchmarks — 15 citations into it
- Natural Language Processing — 11 citations into it
Whom Zhenheng Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Diederik P. Kingma
- Karen Simonyan
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Andrew Zisserman
- Sergey Ioffe
- Yoshua Bengio
- Yann LeCun
Who trusts Zhenheng Yang overall
- Antonino Furnari
- Jiyang Gao
- Tianwei Lin
- Humam Alwassel
- Jie Lei
- Giovanni Maria Farinella
- Yazan Abu Farha
- Chen Zhao
- Jun Liu
- Yu-Wei Chao
Papers from Zhenheng Yang's perspective
Ordered by how strongly the researchers Zhenheng Yang 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- 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
- TALL: Temporal Activity Localization via Language Query (2017) — 1,142 citations
- TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals (2017) — 486 citations
- RED: Reinforced Encoder-Decoder Networks for Action Anticipation (2017) — 218 citations
- Cascaded Boundary Regression for Temporal Action Detection (2017) — 225 citations
- Occlusion Aware Unsupervised Learning of Optical Flow (2017) — 340 citations
- SPAN: Spatial Pyramid Attention Network forImage Manipulation Localization (2020) — 308 citations
- Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding (2018) — 313 citations