Zhenhai Zhu
Computer Vision and Pattern Recognition · 2016–2020
A researcher in the Science corpus: 3 papers; trusts 262 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 82 citations into it; #11,420 of 21,575 by trust here, #7,938 by citations
- Artificial Intelligence — 51 citations into it
- Multimodal Learning — 32 citations into it
- Natural Language Processing — 26 citations into it; #3,357 of 5,688 by trust here, #2,634 by citations
- Evaluation & Benchmarks — 20 citations into it
- Representation & Self-Supervised Learning — 12 citations into it
- Signal Processing — 5 citations into it
Whom Zhenhai Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Jimmy Ba
- Christian Szegedy
- Alex Krizhevsky
- Yoshua Bengio
- Ilya Sutskever
- Oriol Vinyals
- Yann LeCun
Who trusts Zhenhai Zhu overall
- Marcella Cornia
- Lorenzo Baraldi
- Asli Celikyilmaz
- Matteo Stefanini
- Rowan Zellers
- Ramakanth Pasunuru
- Huan Ling
- Jiuxiang Gu
- Rita Cucchiara
- Ananya B. Sai
Papers from Zhenhai Zhu's perspective
Ordered by how strongly the researchers Zhenhai 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Improved Image Captioning via Policy Gradient optimization of SPIDEr (2016) — 497 citations
- A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions (2019) — 40 citations
- Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube (2020) — 4 citations