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AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition

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

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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 

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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 

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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 

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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 

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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 

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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 

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Efficient Crowd Counting via Structured Knowledge Transfer

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

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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 

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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 

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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 

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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 

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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

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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 

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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 

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