Junru Wu
Computer Vision and Pattern Recognition · with Wang · 2018–2023
A researcher in the Science corpus: 4 papers; trusts 236 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 94 citations into it; #11,317 of 21,575 by trust here, #7,584 by citations
- Artificial Intelligence — 54 citations into it
- Efficiency & Compression — 19 citations into it
- Model Architectures — 11 citations into it
- Generative Models — 8 citations into it
- Optimization & Training — 5 citations into it
Whom Junru Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Christian Szegedy
- Kaiming He
- Diederik P. Kingma
- Yoshua Bengio
- Ross B. Girshick
- Yann LeCun
- Ilya Sutskever
- Karen Simonyan
Who trusts Junru Wu overall
- Breton L. Minnehan
- Xavier Suau
- Syed Waqas Zamir
- Ting-Kuei Hu
- Minsik Cho
- By Lei Deng
- Tianlong Chen
- Andreas Savakis
- Zhangyang Wang
- Luca Zappella
Papers from Junru Wu's perspective
Ordered by how strongly the researchers Junru Wu 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better (2019) — 1,132 citations
- Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting (2023) — 461 citations
- Gaze Prediction in Dynamic 360° Immersive Videos (2018) — 313 citations
- Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions (2018) — 121 citations