Ping-Chia Huang

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it

Whom Ping-Chia Huang trusts overall

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

1. Paul Bergmann
2. Kaiming He

Papers from Ping-Chia Huang's perspective

Ordered by how strongly the researchers Ping-Chia Huang 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Learning Multiple Layers of Features from Tiny Images
7. Unsupervised Representation Learning by Predicting Image Rotations
8. ImageNet Large Scale Visual Recognition Challenge
9. GENERATIVE ADVERSARIAL NETS
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection (2022) — 337 citations