Wayne Wu

Computer Vision and Pattern Recognition · 2018–2023

A researcher in the Science corpus: 10 papers; trusts 1,155 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 445 citations into it
• Artificial Intelligence — 120 citations into it
• Generative Models — 94 citations into it
• Computational Mechanics — 64 citations into it
• Signal Processing — 58 citations into it
• Computer Graphics and Computer-Aided Design — 56 citations into it
• Evaluation & Benchmarks — 42 citations into it
• Model Architectures — 40 citations into it

Whom Wayne Wu trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Andrew Zisserman
6. Karen Simonyan
7. Ross B. Girshick
8. Yoshua Bengio
9. Yann LeCun
10. Christian Szegedy

Who trusts Wayne Wu overall

1. Bjoern Browatzki
2. Xinyao Wang
3. Ke Sun
4. Haoning Zhu
5. Yang Shu
6. Yang Yang
7. Yinglin Zheng
8. Haoshu Fang
9. Kaede Shiohara
10. Jingdong Wang

Papers from Wayne Wu's perspective

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

Their papers

• Look at Boundary: A Boundary-Aware Face Alignment Algorithm (2018) — 511 citations
• OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation (2023) — 432 citations
• TAM: Temporal Adaptive Module for Video Recognition (2020) — 374 citations
• DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection (2020) — 617 citations
• MEAD: A Large-Scale Audio-Visual Dataset for Emotional Talking-Face Generation (2020) — 491 citations
• Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation (2021) — 465 citations
• CelebV-HQ: A Large-Scale Video Facial Attributes Dataset (2022) — 325 citations
• MotionBERT: A Unified Perspective on Learning Human Motion Representations (2022) — 371 citations
• Focal Frequency Loss for Image Reconstruction and Synthesis (2020) — 467 citations
• Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation (2020) — 449 citations