Xiao Liu
Computer Vision and Pattern Recognition · with Li · 2016–2021
A researcher in the Science corpus: 11 papers; trusts 1,041 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 345 citations into it; #7,884 of 21,575 by trust here, #3,538 by citations
- Artificial Intelligence — 139 citations into it; #24,225 of 35,345 by trust here, #8,706 by citations
- Model Architectures — 56 citations into it
- Generative Models — 47 citations into it
- Representation & Self-Supervised Learning — 33 citations into it
- Evaluation & Benchmarks — 30 citations into it
- Media Technology — 27 citations into it
- Optimization & Training — 20 citations into it
Whom Xiao Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Ross B. Girshick
- Kaiming He
- Geoffrey E. Hinton
- Andrew Zisserman
- Alex Krizhevsky
- Ronald J. Williams
- Christian Szegedy
- Yoshua Bengio
- Diederik P. Kingma
Who trusts Xiao Liu overall
- Heliang Zheng
- Jianlong Fu
- Bo Zhao
- Weifeng Ge
- Jiaxu Leng
- Ming Sun
- Tianshui Chen
- Chen Zhao
- Ruyi Ji
- Tao Mei
Papers from Xiao Liu's perspective
Ordered by how strongly the researchers Xiao 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
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- 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
- BMN: Boundary-Matching Network for Temporal Action Proposal Generation (2019) — 726 citations
- Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification (2017) — 49 citations
- Kernel Pooling for Convolutional Neural Networks (2017) — 322 citations
- Deep Metric Learning with Angular Loss (2017) — 548 citations
- Dynamic Computational Time for Visual Attention (2017) — 117 citations
- Image Inpainting With Learnable Bidirectional Attention Maps (2019) — 265 citations
- StNet: Local and Global Spatial-Temporal Modeling for Action Recognition (2018) — 145 citations
- Fully Convolutional Attention Localization Networks: Efficient Attention Localization for Fine-Grained Recognition (2016) — 102 citations
- STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing (2019) — 366 citations
- Image Inpainting by End-to-End Cascaded Refinement With Mask Awareness (2021) — 140 citations
- Fully Convolutional Attention Networks for Fine-Grained Recognition (2016) — 155 citations