Jiyang Gao
Computer Vision and Pattern Recognition · 2017–2020
A researcher in the Science corpus: 9 papers; trusts 1,109 researchers and is trusted by 167 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 206 citations into it; #2,757 of 21,575 by trust here, #2,754 by citations
- Artificial Intelligence — 143 citations into it; #8,903 of 35,345 by trust here, #8,365 by citations
- Model Architectures — 38 citations into it
- Automotive Engineering — 28 citations into it; #2,756 of 3,081 by trust here, #1,245 by citations
- Optimization & Training — 23 citations into it
- Multimodal Learning — 22 citations into it; #668 of 1,211 by trust here, #736 by citations
- Natural Language Processing — 22 citations into it
- Aerospace Engineering — 18 citations into it
Whom Jiyang Gao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Diederik P. Kingma
- Kaiming He
- Karen Simonyan
- Geoffrey E. Hinton
- Alex Krizhevsky
- Andrew Zisserman
- Jimmy Ba
- Yoshua Bengio
- Christian Szegedy
Who trusts Jiyang Gao overall
- Antonino Furnari
- Tianwei Lin
- Jie Lei
- Humam Alwassel
- Giovanni Maria Farinella
- Chenyou Fan
- Jingwen Ye
- Runhao Zeng
- Thao Minh Le
- Yazan Abu Farha
Papers from Jiyang Gao's perspective
Ordered by how strongly the researchers Jiyang Gao 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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
- TALL: Temporal Activity Localization via Language Query (2017) — 1,142 citations
- TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals (2017) — 486 citations
- RED: Reinforced Encoder-Decoder Networks for Action Anticipation (2017) — 218 citations
- VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation (2020) — 1,110 citations
- End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds (2019) — 401 citations
- Cascaded Boundary Regression for Temporal Action Detection (2017) — 225 citations
- Motion-Appearance Co-memory Networks for Video Question Answering (2018) — 267 citations
- TNT: Target-driveN Trajectory Prediction (2020) — 722 citations
- Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN (2017) — 20 citations