Haoxuan You

Computer Vision and Pattern Recognition · 2018–2023

A researcher in the Science corpus: 9 papers; trusts 994 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 277 citations into it; #14,646 of 21,575 by trust here, #5,422 by citations
• Artificial Intelligence — 204 citations into it; #27,124 of 35,345 by trust here, #7,346 by citations
• Multimodal Learning — 101 citations into it; #962 of 1,211 by trust here, #583 by citations
• Computational Mechanics — 66 citations into it
• Natural Language Processing — 49 citations into it
• Geology — 48 citations into it
• Model Architectures — 47 citations into it
• Large Language Models — 35 citations into it

Whom Haoxuan You trusts overall

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

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

Who trusts Haoxuan You overall

1. Peng Gao
2. Mikaela Angelina Uy
3. Yifan Feng
4. Jesús Torrado
5. Renrui Zhang
6. Xinzhe Han
7. Yue Gao
8. An-Chieh Cheng
9. Shiwen Wu
10. Hanoona Abdul Rasheed

Papers from Haoxuan You's perspective

Ordered by how strongly the researchers Haoxuan You 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering (2018) — 416 citations
• Ferret: Refer and Ground Anything Anywhere at Any Granularity (2023) — 563 citations
• Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions (2021) — 54 citations
• Multi-Modality Latent Interaction Network for Visual Question Answering (2019) — 87 citations
• Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework (2022) — 913 citations
• Learning Visual Commonsense for Robust Scene Graph Generation (2020) — 304 citations
• PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape Recognition (2018) — 191 citations
• MeshNet: Mesh Neural Network for 3D Shape Representation (2018) — 367 citations
• Hypergraph Neural Networks (2018) — 2,070 citations