Hao Jiang

Computer Vision and Pattern Recognition · 4 papers · 2007–2021

A researcher in the Science corpus: 4 papers; trusts 95 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 179 citations into it; #8,576 of 21,575 by trust here, #6,426 by citations
• Artificial Intelligence — 75 citations into it; #13,094 of 35,345 by trust here, #19,873 by citations
• Human-Computer Interaction — 23 citations into it
• Control and Systems Engineering — 13 citations into it; #2,280 of 8,257 by trust here, #5,227 by citations
• Aerospace Engineering — 11 citations into it; #1,764 of 6,421 by trust here, #3,072 by citations
• Biomedical Engineering — 9 citations into it
• Computational Mechanics — 7 citations into it
• Robotics & Control — 7 citations into it

Whom Hao Jiang trusts overall

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

1. Cheng Li
2. Alex Krizhevsky
3. Kris M. Kitani
4. Xiaofeng Ren
5. Alexander Toshev
6. Jianyuan Min
7. Geoffrey E. Hinton
8. Christian Szegedy
9. Ilya Sutskever
10. Hedvig Kjellström

Who trusts Hao Jiang overall

1. Anton Andriyenko
2. Ye Yuan
3. Yin Li
4. Konrad Schindler
5. Anton Milan
6. Yuan Li
7. Evonne Ng
8. Tim Meinhardt
9. Hamed Pirsiavash
10. Tushar Nagarajan

Papers from Hao Jiang's perspective

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

Their papers

• Ego4D: Around the World in 3,000 Hours of Egocentric Video (2021) — 1,925 citations
• Seeing Invisible Poses: Estimating 3D Body Pose from Egocentric Video (2016) — 108 citations
• A Linear Programming Approach for Multiple Object Tracking (2007) — 375 citations
• EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environments (2021) — 93 citations