Junting Pan

Computer Vision and Pattern Recognition · 2015–2024

A researcher in the Science corpus: 8 papers; trusts 1,253 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 361 citations into it; #9,046 of 21,575 by trust here, #7,027 by citations
• Artificial Intelligence — 198 citations into it
• Evaluation & Benchmarks — 63 citations into it
• Model Architectures — 45 citations into it
• Representation & Self-Supervised Learning — 41 citations into it
• Large Language Models — 29 citations into it
• Cognitive Neuroscience — 15 citations into it
• Generative Models — 15 citations into it

Whom Junting Pan trusts overall

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

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

Who trusts Junting Pan overall

1. Wenguan Wang
2. Marcella Cornia
3. Jianbing Shen
4. Jiyang Gao
5. Gurkirt Singh
6. Lorenzo Baraldi
7. Zhenheng Yang
8. Giuseppe Serra
9. Yuhong Li
10. Jia Li

Papers from Junting Pan's perspective

Ordered by how strongly the researchers Junting Pan trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Gradient-based learning applied to document recognition
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

• InternVideo: General Video Foundation Models via Generative and Discriminative Learning (2022) — 545 citations
• SalGAN: Visual Saliency Prediction with Generative Adversarial Networks (2017) — 432 citations
• Shallow and Deep Convolutional Networks for Saliency Prediction (2016) — 497 citations
• SAM 2: Segment Anything in Images and Videos (2024) — 3,755 citations
• Personalize Segment Anything Model with One Shot (2023) — 372 citations
• ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning for Action Recognition (2022) — 316 citations
• Online action detection (2017) — 57 citations
• End-to-end Convolutional Network for Saliency Prediction (2015) — 27 citations