Xindi Shang
Computer Vision and Pattern Recognition · 2017–2021
A researcher in the Science corpus: 4 papers; trusts 599 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 130 citations into it; #9,147 of 21,575 by trust here, #8,205 by citations
- Artificial Intelligence — 78 citations into it; #26,427 of 35,345 by trust here, #15,542 by citations
- Multimodal Learning — 39 citations into it
- Evaluation & Benchmarks — 25 citations into it
- Natural Language Processing — 23 citations into it
- Question Answering & Reading Comprehension — 21 citations into it; #204 of 335 by trust here, #136 by citations
- Model Architectures — 10 citations into it
Whom Xindi Shang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Ross B. Girshick
- Alex Krizhevsky
- Diederik P. Kingma
- Shaoqing Ren
- Karen Simonyan
- Yoshua Bengio
- Andrew Zisserman
- Yann LeCun
Who trusts Xindi Shang overall
- Junbin Xiao
- Chenchen Liu
- Bo Li
- Yuanhan Zhang
- Tat-seng Chua
- Yao-Hung Hubert Tsai
- Yang Jin
- Yin-wei Wei
- Xi Chen
- Pan Zhou
Papers from Xindi Shang's perspective
Ordered by how strongly the researchers Xindi Shang 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)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- 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
- NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions (2021) — 950 citations
- Annotating Objects and Relations in User-Generated Videos (2019) — 213 citations
- Video Visual Relation Detection (2017) — 187 citations
- Visual Relation Grounding in Videos (2020) — 45 citations