Jun Chen

Computer Vision and Pattern Recognition · with Chi · 2022

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom Jun Chen trusts overall

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

1. Alex Krizhevsky

Papers from Jun Chen's perspective

Ordered by how strongly the researchers Jun 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. Learning Multiple Layers of Features from Tiny Images
3. ImageNet Large Scale Visual Recognition Challenge
4. Object Detection with Discriminatively Trained Part Based Models
5. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
6. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
7. Deep Learning
8. The Caltech-UCSD Birds-200-2011 Dataset
9. ImageNet classification with deep convolutional neural networks
10. iCaRL: Incremental Classifier and Representation Learning

Their papers

• Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay (2022) — 137 citations