Jiale Cao
Computer Vision and Pattern Recognition · 2018–2021
A researcher in the Science corpus: 4 papers; trusts 913 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 187 citations into it; #12,265 of 21,575 by trust here, #9,722 by citations
- Artificial Intelligence — 89 citations into it; #24,201 of 35,345 by trust here, #20,836 by citations
- Model Architectures — 20 citations into it
- Aerospace Engineering — 16 citations into it
- Evaluation & Benchmarks — 10 citations into it
Whom Jiale Cao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Tsung-Yi Lin
- Alex Krizhevsky
- Shaoqing Ren
- Geoffrey E. Hinton
- Jifeng Dai
- Karen Simonyan
- Piotr Doll'ar
- Yann LeCun
Who trusts Jiale Cao overall
- Jiyang Qi
- Tiancai Wang
- Rao Muhammad Anwer
- Chien-Yao Wang
- Yan Gao
- Xinggang Wang
- Hisham Cholakkal
- Yanwei Pang
- Wenguan Wang
- Ting-Li Chen
Papers from Jiale Cao's perspective
Ordered by how strongly the researchers Jiale Cao 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (2020) — 195 citations
- Triply Supervised Decoder Networks for Joint Detection and Segmentation (2018) — 68 citations
- Track to Detect and Segment: An Online Multi-Object Tracker (2021) — 417 citations
- D2Det: Towards High Quality Object Detection and Instance Segmentation (2020) — 278 citations