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Structured Semantic Transfer for Multi-Label Recognition with Partial Labels


Dec 22, 2021
Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Liang Lin

* Accepted by AAAI'22 

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Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction


Nov 30, 2021
Lingbo Liu, Zewei Yang, Guanbin Li, Kuo Wang, Tianshui Chen, Liang Lin


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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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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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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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Semi-Supervised Video Salient Object Detection Using Pseudo-Labels


Aug 12, 2019
Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin

* Accepted by ICCV 2019 

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Knowledge-Embedded Routing Network for Scene Graph Generation


Mar 08, 2019
Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin

* Accepted by CVPR 2019 

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Neural Task Planning with And-Or Graph Representations


Aug 25, 2018
Tianshui Chen, Riquan Chen, Lin Nie, Xiaonan Luo, Xiaobai Liu, Liang Lin

* Submitted to TMM, under minor revision. arXiv admin note: text overlap with arXiv:1707.04677 

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Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding


Aug 14, 2018
Tianshui Chen, Wenxi Wu, Yuefang Gao, Le Dong, Xiaonan Luo, Liang Lin

* Accepted at ACM MM 2018 as oral presentation 

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Learning to Segment Object Candidates via Recursive Neural Networks


Jul 29, 2018
Tianshui Chen, Liang Lin, Xian Wu, Nong Xiao, Xiaonan Luo

* Accepted at TIP 

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Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition


Jul 02, 2018
Tianshui Chen, Liang Lin, Riquan Chen, Yang Wu, Xiaonan Luo

* Accepted at IJCAI 2018. The first work that introduces high-level knowledge to enhance representation learning for fine-grained image classification 

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Deep Reasoning with Knowledge Graph for Social Relationship Understanding


Jul 02, 2018
Zhouxia Wang, Tianshui Chen, Jimmy Ren, Weihao Yu, Hui Cheng, Liang Lin

* Accepted at IJCAI 2018. The first work that integrates high-level knowledge graph to reason about social relationships between person pair of interest in still image 

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Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks


Dec 20, 2017
Tianshui Chen, Liang Lin, Wangmeng Zuo, Xiaonan Luo, Lei Zhang

* Accepted at AAAI 2018 

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Recurrent Attentional Reinforcement Learning for Multi-label Image Recognition


Dec 20, 2017
Tianshui Chen, Zhouxia Wang, Guanbin Li, Liang Lin

* Accepted at AAAI 2018 

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Multi-label Image Recognition by Recurrently Discovering Attentional Regions


Nov 08, 2017
Zhouxia Wang, Tianshui Chen, Guanbin Li, Ruijia Xu, Liang Lin

* Accepted at ICCV 2017 

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Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning


Oct 04, 2017
Dongyu Zhang, Liang Lin, Tianshui Chen, Xian Wu, Wenwei Tan, Ebroul Izquierdo

* Published in TIP 2017 

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Knowledge-Guided Recurrent Neural Network Learning for Task-Oriented Action Prediction


Jul 15, 2017
Liang Lin, Lili Huang, Tianshui Chen, Yukang Gan, Hui Cheng


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Character Proposal Network for Robust Text Extraction


Feb 13, 2016
Shuye Zhang, Mude Lin, Tianshui Chen, Lianwen Jin, Liang Lin


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DISC: Deep Image Saliency Computing via Progressive Representation Learning


Dec 10, 2015
Tianshui Chen, Liang Lin, Lingbo Liu, Xiaonan Luo, Xuelong Li

* This manuscript is the accepted version for IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2015 

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