Ran Xu
Computer Vision and Pattern Recognition · 2014–2022
A researcher in the Science corpus: 5 papers; trusts 480 researchers and is trusted by 130 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 123 citations into it; #3,004 of 21,575 by trust here, #6,606 by citations
- Artificial Intelligence — 65 citations into it; #13,583 of 35,345 by trust here, #19,439 by citations
- Multimodal Learning — 34 citations into it; #336 of 1,211 by trust here, #685 by citations
- Natural Language Processing — 18 citations into it
- Evaluation & Benchmarks — 15 citations into it
Whom Ran Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Richard Socher
- Ross B. Girshick
- Ilya Sutskever
- Pedro F. Felzenszwalb
- Yoshua Bengio
- Kaiming He
- Li Fei-Fei
- Diederik P. Kingma
Who trusts Ran Xu overall
- Jianfeng Dong
- Xirong Li
- Huijuan Xu
- Subhashini Venugopalan
- Lin Ma
- Antoine Miech
- Bairui Wang
- Yingwei Pan
- Xiaodong Gu
- Simon Ging
Papers from Ran Xu's perspective
Ordered by how strongly the researchers Ran Xu 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
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- 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
- Jointly Modeling Deep Video and Compositional Text to Bridge Vision and Language in a Unified Framework (2015) — 325 citations
- Actionness Ranking with Lattice Conditional Ordinal Random Fields (2014) — 87 citations
- Open Vocabulary Object Detection with Pseudo Bounding-Box Labels (2021) — 118 citations
- ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding (2022) — 401 citations
- Sequential Labeling with Online Deep Learning: Exploring Model Initialization (2016) — 5 citations