Hwann-Tzong Chen

Computer Vision and Pattern Recognition · 2005–2021

A researcher in the Science corpus: 6 papers; trusts 591 researchers and is trusted by 66 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 143 citations into it; #3,581 of 21,575 by trust here, #4,001 by citations
• Generative Models — 36 citations into it
• Computer Graphics and Computer-Aided Design — 34 citations into it; #544 of 1,584 by trust here, #339 by citations
• Artificial Intelligence — 31 citations into it; #19,378 of 35,345 by trust here, #23,731 by citations
• Computational Mechanics — 16 citations into it; #3,447 of 10,001 by trust here, #1,483 by citations
• 3D Vision & Pose — 13 citations into it
• Human-Computer Interaction — 13 citations into it
• Representation & Self-Supervised Learning — 10 citations into it

Whom Hwann-Tzong Chen trusts overall

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

1. Geoffrey E. Hinton
2. Bernhard Schölkopf
3. Sam T. Roweis
4. Diederik P. Kingma
5. David G. Lowe
6. Alex Krizhevsky
7. Kaiming He
8. Yoshua Bengio
9. Mikhail Belkin
10. Ming-Hsuan Yang

Who trusts Hwann-Tzong Chen overall

1. Meng Yang
2. Deng Cai
3. Yun Fu
4. Lei Zhang
5. Yen-Yu Lin
6. Xiaofei He
7. Guanbin Li
8. Thomas S. Huang
9. Ying Li
10. Huan Wang

Papers from Hwann-Tzong Chen's perspective

Ordered by how strongly the researchers Hwann-Tzong Chen trusts endorse each paper. Same corpus, a different order for every researcher.

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

• Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction (2021) — 1,369 citations
• COCO-GAN: Generation by Parts via Conditional Coordinating (2019) — 149 citations
• Fusing generic objectness and visual saliency for salient object detection (2011) — 390 citations
• Self Adversarial Training for Human Pose Estimation (2017) — 172 citations
• Local discriminant embedding and its variants (2005) — 625 citations
• Semantic manifold learning for image retrieval (2005) — 117 citations