Jiawei Zhang
Computer Vision and Pattern Recognition · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2016–2019
A researcher in the Science corpus: 8 papers; trusts 914 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 235 citations into it; #13,931 of 21,575 by trust here, #4,469 by citations
- Media Technology — 67 citations into it
- Artificial Intelligence — 29 citations into it
- Aerospace Engineering — 18 citations into it
- Model Architectures — 13 citations into it
- Human-Computer Interaction — 10 citations into it
- Computational Mechanics — 6 citations into it
- Optimization & Training — 6 citations into it
Whom Jiawei Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Karen Simonyan
- Andrew Zisserman
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Ross B. Girshick
- Yann LeCun
- Yoshua Bengio
- Ilya Sutskever
Who trusts Jiawei Zhang overall
- Nantheera Anantrasirichai
- Kaihao Zhang
- Jaesung Rim
- Shangchen Zhou
- Wenqi Ren
- Hongyun Gao
- Long Zhao
- Dongwei Ren
- Deng-Ping Fan
- Yujun Cai
Papers from Jiawei Zhang's perspective
Ordered by how strongly the researchers Jiawei Zhang 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
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- CREST: Convolutional Residual Learning for Visual Tracking (2017) — 503 citations
- Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks (2018) — 511 citations
- Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks (2018) — 381 citations
- Gated Fusion Network for Single Image Dehazing (2018) — 881 citations
- A hand pose tracking benchmark from stereo matching (2017) — 98 citations
- Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification (2018) — 86 citations
- Spatio-Temporal Filter Adaptive Network for Video Deblurring (2019) — 232 citations
- RGBD Salient Object Detection via Deep Fusion (2016) — 370 citations