Dongpu Cao
Computer Vision and Pattern Recognition · 2014–2023
A researcher in the Science corpus: 13 papers; trusts 394 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 202 citations into it
- Automotive Engineering — 148 citations into it; #982 of 3,081 by trust here, #520 by citations
- Electrical and Electronic Engineering — 75 citations into it; #6,297 of 16,539 by trust here, #3,506 by citations
- Aerospace Engineering — 74 citations into it
- Computational Mechanics — 67 citations into it
- Geology — 56 citations into it
- Environmental Engineering — 43 citations into it
- Artificial Intelligence — 42 citations into it
Whom Dongpu Cao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Ross B. Girshick
- Yann LeCun
- Ilya Sutskever
- Yoshua Bengio
- Andrew Zisserman
- Diederik P. Kingma
Who trusts Dongpu Cao overall
Papers from Dongpu Cao's perspective
Ordered by how strongly the researchers Dongpu Cao 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)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
Their papers
- Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling (2016) — 460 citations
- A theoretical and computational study of lithium-ion battery thermal management for electric vehicles using heat pipes (2014) — 262 citations
- Stability and Scalability of Homogeneous Vehicular Platoon: Study on the Influence of Information Flow Topologies (2016) — 686 citations
- An investigation of lithium-ion battery thermal management using paraffin/porous-graphite-matrix composite (2015) — 202 citations
- Reinforcement Learning Optimized Look-Ahead Energy Management of a Parallel Hybrid Electric Vehicle (2017) — 353 citations
- Energy Management in Plug-in Hybrid Electric Vehicles: Recent Progress and a Connected Vehicles Perspective (2017) — 631 citations
- Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys (2023) — 489 citations
- Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review (2020) — 547 citations
- A Motion Planning and Tracking Framework for Autonomous Vehicles Based on Artificial Potential Field Elaborated Resistance Network Approach (2020) — 317 citations
- Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review (2020) — 527 citations
- Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach (2019) — 325 citations
- Driving Style Recognition for Intelligent Vehicle Control and Advanced Driver Assistance: A Survey (2018) — 511 citations
- Dynamic path planning for autonomous driving on various roads with avoidance of static and moving obstacles (2018) — 307 citations