Xinchen Liu
Computer Vision and Pattern Recognition · 2016–2020
A researcher in the Science corpus: 5 papers; trusts 481 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 115 citations into it; #11,728 of 21,575 by trust here, #10,154 by citations
- Artificial Intelligence — 36 citations into it
- Media Technology — 14 citations into it; #1,681 of 3,621 by trust here, #1,242 by citations
- Representation & Self-Supervised Learning — 14 citations into it
- Model Architectures — 12 citations into it
- Aerospace Engineering — 6 citations into it
- Information Retrieval & Search — 6 citations into it
- Signal Processing — 6 citations into it
Whom Xinchen Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Christian Szegedy
- Yann LeCun
- Kaiming He
- Ilya Sutskever
- Yoshua Bengio
- Andrew Zisserman
Who trusts Xinchen Liu overall
Papers from Xinchen Liu's perspective
Ordered by how strongly the researchers Xinchen Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Large-scale vehicle re-identification in urban surveillance videos (2016) — 545 citations
- A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance (2016) — 566 citations
- FastReID: A Pytorch Toolbox for General Instance Re-identification (2020) — 438 citations
- MetaSearch: Incremental Product Search via Deep Meta-Learning (2020) — 63 citations
- PROVID: Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance (2018) — 395 citations