Yanning Zhang

Computer Vision and Pattern Recognition · 2013–2022

A researcher in the Science corpus: 11 papers; trusts 334 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 156 citations into it; #19,652 of 21,575 by trust here, #9,187 by citations
• Media Technology — 67 citations into it
• Artificial Intelligence — 53 citations into it; #19,594 of 35,345 by trust here, #15,542 by citations
• Signal Processing — 22 citations into it; #4,634 of 7,572 by trust here, #3,309 by citations
• Evaluation & Benchmarks — 16 citations into it
• Natural Language Processing — 16 citations into it
• Model Architectures — 13 citations into it
• Speech & Audio — 10 citations into it

Whom Yanning Zhang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Kaiming He
5. Yoshua Bengio
6. Yann LeCun
7. L. Eon Bottou
8. Ilya Sutskever
9. Alex Graves
10. Karen Simonyan

Who trusts Yanning Zhang overall

1. Zhong Meng
2. Wei-Ning Hsu

Papers from Yanning Zhang's perspective

Ordered by how strongly the researchers Yanning Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur (2016) — 436 citations
• Hybrid Deep Neural Network--Hidden Markov Model (DNN-HMM) Based Speech Emotion Recognition (2013) — 157 citations
• Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network (2020) — 927 citations
• An unsupervised deep domain adaptation approach for robust speech recognition (2017) — 164 citations
• Graph Based Skeleton Motion Representation and Similarity Measurement for Action Recognition (2016) — 101 citations
• Task Offloading in Vehicular Edge Computing Networks: A Load-Balancing Solution (2020) — 331 citations
• Multi-stage image denoising with the wavelet transform (2022) — 407 citations
• Rainfall-runoff modeling using LSTM-based multi-state-vector sequence-to-sequence model (2021) — 127 citations
• Attention-Guided Network for Ghost-Free High Dynamic Range Imaging (2019) — 301 citations
• Superpixel-Based Fast Fuzzy C-Means Clustering for Color Image Segmentation (2019) — 303 citations
• Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering (2018) — 385 citations