Hengduo Li
Computer Vision and Pattern Recognition · 2017–2021
A researcher in the Science corpus: 7 papers; trusts 1,167 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 237 citations into it; #18,996 of 21,575 by trust here, #10,334 by citations
- Artificial Intelligence — 149 citations into it; #31,119 of 35,345 by trust here, #16,771 by citations
- Model Architectures — 49 citations into it
- Efficiency & Compression — 34 citations into it
- Optimization & Training — 16 citations into it
- Evaluation & Benchmarks — 13 citations into it
- Signal Processing — 13 citations into it
- Biomedical Engineering — 12 citations into it
Whom Hengduo Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Alex Krizhevsky
- Karen Simonyan
- Geoffrey E. Hinton
- Andrew Zisserman
- Shaoqing Ren
- Yann LeCun
- Yoshua Bengio
- Diederik P. Kingma
Who trusts Hengduo Li overall
Papers from Hengduo Li's perspective
Ordered by how strongly the researchers Hengduo Li 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)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- R-FCN-3000 at 30fps: Decoupling Detection and Classification (2017) — 98 citations
- Learning From Noisy Anchors for One-Stage Object Detection (2019) — 112 citations
- AdaViT: Adaptive Vision Transformers for Efficient Image Recognition (2021) — 333 citations
- HMS: Hierarchical Modality Selection for Efficient Video Recognition (2021) — 6 citations
- 2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition (2020) — 35 citations
- Transferable Clean-Label Poisoning Attacks on Deep Neural Nets (2019) — 327 citations
- Joint Human Detection and Head Pose Estimation via Multistream Networks for RGB-D Videos (2017) — 54 citations