Fangyu Wu

According to our database, Fangyu Wu authored at least 14 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Image captioning via hierarchical attention mechanism and policy gradient optimization.

Shiyang Yan, Yuan Xie, Fangyu Wu, Jeremy S. Smith, Wenjin Lu, Bailing Zhang

Signal Process., 2020

Attentive Prototype Few-Shot Learning with Capsule Network-Based Embedding.

Fangyu Wu, Jeremy S. Smith, Wenjin Lu, Chaoyi Pang, Bailing Zhang

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

A Survey on an Emerging Area: Deep Learning for Smart City Data.

Qi Chen, Wei Wang, Fangyu Wu, Suparna De, Ruili Wang, Bailing Zhang, Xin Huang

IEEE Trans. Emerg. Top. Comput. Intell., 2019

Vehicle re-identification in still images: Application of semi-supervised learning and re-ranking.

Fangyu Wu, Shiyang Yan, Jeremy S. Smith, Bailing Zhang

Signal Process. Image Commun., 2019

Unsupervised Domain Adaptation for Disguised Face Recognition.

Fangyu Wu, Shiyang Yan, Jeremy S. Smith, Wenjin Lu, Bailing Zhang

Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

Image-Image Translation to Enhance Near Infrared Face Recognition.

Fangyu Wu, Weihang You, Jeremy S. Smith, Wenjin Lu, Bailing Zhang

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Image Captioning Based on a Hierarchical Attention Mechanism and Policy Gradient Optimization.

Shiyang Yan, Fangyu Wu, Jeremy S. Smith, Wenjin Lu, Bailing Zhang

CoRR, 2018

Connections between classical car following models and artificial neural networks.

Fangyu Wu, Daniel B. Work

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Image Captioning using Adversarial Networks and Reinforcement Learning.

Shiyang Yan, Fangyu Wu, Jeremy S. Smith, Wenjin Lu, Bailing Zhang

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Joint Semi-supervised Learning and Re-ranking for Vehicle Re-identification.

Fangyu Wu, Shiyang Yan, Jeremy S. Smith, Bailing Zhang

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Benchmarks for reinforcement learning in mixed-autonomy traffic.

Eugene Vinitsky, Aboudy Kreidieh, Luc Le Flem, Nishant Kheterpal, Kathy Jang, Fangyu Wu, Richard Liaw, Eric Liang, Alexandre M. Bayen

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments.

Raphael E. Stern, Shumo Cui, Maria Laura Delle Monache, Rahul Bhadani, Matt Bunting, Miles Churchill, Nathaniel Hamilton, R'mani Haulcy, Hannah Pohlmann, Fangyu Wu, Benedetto Piccoli, Benjamin Seibold, Jonathan Sprinkle, Daniel B. Work

CoRR, 2017

Traffic scene recognition based on deep CNN and VLAD spatial pyramids.

Fangyu Wu, Shiyang Yan, Jeremy S. Smith, Bailing Zhang

Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

Controlling for Unsafe Events in Dense Traffic through Autonomous Vehicles: Invited Talk Abstract.

Daniel B. Work, Raphael Stern, Fangyu Wu, Miles Churchill, Shumo Cui, Hannah Pohlmann, Benjamin Seibold, Benedetto Piccoli, Rahul Bhadani, Matt Bunting, Jonathan Sprinkle, Maria Laura Delle Monache, Nathaniel Hamilton, R'mani Haulcy

Proceedings of the 1st International Workshop on Safe Control of Connected and Autonomous Vehicles, 2017