Hao Zhang

Computer Vision and Pattern Recognition · Journal of Ambient Intelligence and Humanized Computing · 2011–2023

A researcher in the Science corpus: 10 papers; trusts 1,031 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 322 citations into it; #4,227 of 21,575 by trust here, #6,671 by citations
• Artificial Intelligence — 141 citations into it; #25,597 of 35,345 by trust here, #33,294 by citations
• Human-Computer Interaction — 83 citations into it
• Biomedical Engineering — 70 citations into it; #391 of 10,734 by trust here, #3,231 by citations
• Control and Systems Engineering — 42 citations into it
• 3D Vision & Pose — 33 citations into it; #426 of 689 by trust here, #451 by citations
• Industrial and Manufacturing Engineering — 32 citations into it; #1,252 of 2,521 by trust here, #547 by citations
• Evaluation & Benchmarks — 17 citations into it

Whom Hao Zhang trusts overall

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

1. Ivan Laptev
2. David G. Lowe
3. Geoffrey E. Hinton
4. Andrew Zisserman
5. Alex Krizhevsky
6. Kaiming He
7. Ross B. Girshick
8. Yoshua Bengio
9. Chih-Jen Lin
10. Cordelia Schmid

Who trusts Hao Zhang overall

1. Fei Han
2. Hema Swetha Koppula
3. Lu Xia
4. Yan Song
5. Chenyang Zhang
6. Runlin Zhao
7. Matteo Munaro
8. Manoj Ramanathan
9. Zhao Yang
10. Concetta Semeraro

Papers from Hao Zhang's perspective

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

Their papers

• 4-dimensional local spatio-temporal features for human activity recognition (2011) — 155 citations
• Simplex-Based 3D Spatio-temporal Feature Description for Action Recognition (2014) — 42 citations
• Space-Time Representation of People Based on 3D Skeletal Data: A Review (2016) — 320 citations
• Bio-inspired predictive orientation decomposition of skeleton trajectories for real-time human activity prediction (2015) — 26 citations
• See, Think, Confirm: Interactive Prompting Between Vision and Language Models for Knowledge-based Visual Reasoning (2023) — 57 citations
• Digital twin-driven rapid individualised designing of automated flow-shop manufacturing system (2019) — 314 citations
• Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop (2018) — 412 citations
• Simultaneous Feature and Body-Part Learning for real-time robot awareness of human behaviors (2017) — 11 citations
• Minimum uncertainty latent variable models for robot recognition of sequential human activities (2017)
• A Digital Twin-Based Approach for Designing and Multi-Objective Optimization of Hollow Glass Production Line (2017) — 370 citations