Xiaoshuai Sun
Computer Vision and Pattern Recognition · 2014–2022
A researcher in the Science corpus: 8 papers; trusts 885 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 288 citations into it
- Artificial Intelligence — 209 citations into it
- Multimodal Learning — 127 citations into it
- Natural Language Processing — 71 citations into it
- Model Architectures — 53 citations into it
- Evaluation & Benchmarks — 36 citations into it
- Representation & Self-Supervised Learning — 21 citations into it
- Optimization & Training — 9 citations into it
Whom Xiaoshuai Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Yoshua Bengio
- Ross B. Girshick
- Ilya Sutskever
- Karen Simonyan
- Yann LeCun
- Oriol Vinyals
Who trusts Xiaoshuai Sun overall
Papers from Xiaoshuai Sun's perspective
Ordered by how strongly the researchers Xiaoshuai Sun trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Pix2Vox: Context-Aware 3D Reconstruction From Single and Multi-View Images (2019) — 386 citations
- Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation (2020) — 370 citations
- X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval (2022) — 500 citations
- Exploring Principles-of-Art Features For Image Emotion Recognition (2014) — 358 citations
- Towards Lightweight Transformer Via Group-Wise Transformation for Vision-and-Language Tasks (2022) — 63 citations
- Dual-Level Collaborative Transformer for Image Captioning (2021) — 360 citations
- TRAR: Routing the Attention Spans in Transformer for Visual Question Answering (2021) — 132 citations
- RSTNet: Captioning with Adaptive Attention on Visual and Non-Visual Words (2021) — 263 citations