Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition

Dec 29, 2020
Tao Pu, Tianshui Chen, Yuan Xie, Hefeng Wu, Liang Lin


  Access Paper or Ask Questions

Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting

Dec 08, 2020
Lingbo Liu, Jiaqi Chen, Hefeng Wu, Guanbin Li, Chenglong Li, Liang Lin

* We introduce a large-scale RGBT benchmark for crowd counting 

  Access Paper or Ask Questions

Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition

Sep 20, 2020
Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu

* Accepted at TPAMI 

  Access Paper or Ask Questions

Look into Facial Expression Domain Adaptation: Adversarial Graph Learning and A Fair Evaluation Benchmark

Aug 27, 2020
Tianshui Chen, Tao Pu, Yuan Xie, Hefeng Wu, Lingbo Liu, Liang Lin

* Extension of our ACM MM 2020 paper. arXiv admin note: substantial text overlap with arXiv:2008.00859 

  Access Paper or Ask Questions

Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition

Aug 04, 2020
Yuan Xie, Tianshui Chen, Tao Pu, Hefeng Wu, Liang Lin

* Accepted at ACM MM 2020 

  Access Paper or Ask Questions

Active Object Search

Aug 04, 2020
Jie Wu, Tianshui Chen, Lishan Huang, Hefeng Wu, Guanbin Li, Ling Tian, Liang Lin

* Accepted at ACM MM 2020 

  Access Paper or Ask Questions

Fine-Grained Image Captioning with Global-Local Discriminative Objective

Jul 21, 2020
Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Guangchun Luo, Liang Lin

* Accepted by TMM 

  Access Paper or Ask Questions

Efficient Crowd Counting via Structured Knowledge Transfer

Apr 26, 2020
Lingbo Liu, Jiaqi Chen, Hefeng Wu, Tianshui Chen, Guanbin Li, Liang Lin


  Access Paper or Ask Questions

Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction

Jan 14, 2020
Jingwen Chen, Lingbo Liu, Hefeng Wu, Jiajie Zhen, Guanbin Li, Liang Lin

* Jingwen Chen and Lingbo Liu are co-first authors 

  Access Paper or Ask Questions

Knowledge Graph Transfer Network for Few-Shot Recognition

Nov 21, 2019
Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin

* accepted by AAAI 2020 as oral paper 

  Access Paper or Ask Questions

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition

Aug 20, 2019
Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin

* accepted by ICCV 2019 

  Access Paper or Ask Questions

Instance-Aware Representation Learning and Association for Online Multi-Person Tracking

May 29, 2019
Hefeng Wu, Yafei Hu, Keze Wang, Hanhui Li, Lin Nie, Hui Cheng

* accepted by Pattern Recognition 

  Access Paper or Ask Questions

ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding

Dec 04, 2018
Ning Liu, Yongchao Long, Changqing Zou, Qun Niu, Li Pan, Hefeng Wu


  Access Paper or Ask Questions

Structured Inhomogeneous Density Map Learning for Crowd Counting

Jan 20, 2018
Hanhui Li, Xiangjian He, Hefeng Wu, Saeed Amirgholipour Kasmani, Ruomei Wang, Xiaonan Luo, Liang Lin

* 10 pages, 7 figures 

  Access Paper or Ask Questions

Learning Deep Similarity Models with Focus Ranking for Fabric Image Retrieval

Dec 29, 2017
Daiguo Deng, Ruomei Wang, Hefeng Wu, Huayong He, Qi Li, Xiaonan Luo

* 11 pages, 9 figures, accepted by Image and Vision Computing 

  Access Paper or Ask Questions