Kaihua Zhang

Computer Vision and Pattern Recognition · 2010–2018

A researcher in the Science corpus: 8 papers; trusts 415 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 154 citations into it; #4,680 of 21,575 by trust here, #6,031 by citations
• Computational Mechanics — 26 citations into it
• Artificial Intelligence — 25 citations into it
• Electrical and Electronic Engineering — 20 citations into it
• Aerospace Engineering — 15 citations into it
• Computational Theory and Mathematics — 8 citations into it
• Modeling and Simulation — 8 citations into it
• Signal Processing — 8 citations into it

Whom Kaihua Zhang trusts overall

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

1. Chunming Li
2. Shai Avidan
3. Ming-Hsuan Yang
4. Helmut Grabner
5. Yann LeCun
6. Xue Mei
7. Alex Krizhevsky
8. Geoffrey E. Hinton
9. Junseok Kwon
10. Kaiming He

Who trusts Kaihua Zhang overall

1. Martin Danelljan
2. Chao Ma
3. Naiyan Wang
4. Matej Kristan
5. Fahad Shahbaz Khan
6. Gustav Häger
7. Michael Felsberg
8. Ting Liu
9. Ming-Hsuan Yang
10. Shuran Song

Papers from Kaihua Zhang's perspective

Ordered by how strongly the researchers Kaihua 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Fast Visual Tracking via Dense Spatio-temporal Context Learning (2014) — 704 citations
• Real-Time Compressive Tracking (2012) — 1,557 citations
• Visual Tracking With Weighted Adaptive Local Sparse Appearance Model via Spatio-Temporal Context Learning (2018) — 44 citations
• A Level Set Approach to Image Segmentation With Intensity Inhomogeneity (2016) — 394 citations
• Robust Visual Tracking via Convolutional Networks Without Training (2015) — 354 citations
• Real-time visual tracking via online weighted multiple instance learning (2013) — 271 citations
• Active contours driven by local image fitting energy (2010) — 748 citations
• Active contours with selective local or global segmentation: A new formulation and level set method (2010) — 780 citations