Suttisak Wizadwongsa

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 300 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 80 citations into it; #21,492 of 21,575 by trust here, #10,677 by citations
• Generative Models — 46 citations into it
• Artificial Intelligence — 24 citations into it
• Computer Graphics and Computer-Aided Design — 21 citations into it; #1,580 of 1,584 by trust here, #875 by citations
• Signal Processing — 12 citations into it
• Statistical and Nonlinear Physics — 12 citations into it
• 3D Vision & Pose — 7 citations into it

Whom Suttisak Wizadwongsa trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Vincent Sitzmann
5. Kaiming He
6. Yoshua Bengio
7. Jimmy Ba
8. John Flynn
9. Peter-Pike J. Sloan
10. Yann LeCun

Who trusts Suttisak Wizadwongsa overall

1. Sara Fridovich-Keil
2. Dor Verbin
3. Alex Yu
4. Guangcong Wang
5. Peter Hedman
6. Lior Yariv
7. A. Tewari
8. Ben Mildenhall
9. Christian Reiser
10. Zhaoxi Chen

Papers from Suttisak Wizadwongsa's perspective

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

Their papers

• Diffusion Autoencoders: Toward a Meaningful and Decodable Representation (2021) — 614 citations
• NeX: Real-time View Synthesis with Neural Basis Expansion (2021) — 355 citations