Tianshui Chen

According to our database, Tianshui Chen authored at least 44 papers between 2016 and 2023.

Collaborative distances:

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

2023

Scale-Aware Squeeze-and-Excitation for Lightweight Object Detection.

Zhihua Xu, Xiaobin Hong, Tianshui Chen, Zhijing Yang, Yukai Shi

IEEE Robotics Autom. Lett., 2023

OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup.

Zhijing Yang, Junyang Chen, Yukai Shi, Hao Li, Tianshui Chen, Liang Lin

CoRR, 2023

2022

Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph Learning.

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

IEEE Trans. Pattern Anal. Mach. Intell., 2022

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

Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Multi-label image recognition with attentive transformer-localizer module.

Lin Nie, Tianshui Chen, Zhouxia Wang, Wenxiong Kang, Liang Lin

Multim. Tools Appl., 2022

Progressive representation recalibration for lightweight super-resolution.

Ruimian Wen, Zhijing Yang, Tianshui Chen, Hao Li, Kai Li

Neurocomputing, 2022

Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels.

Tao Pu, Qianru Lao, Hefeng Wu, Tianshui Chen, Liang Lin

CoRR, 2022

Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels.

Tao Pu, Tianshui Chen, Hefeng Wu, Yongyi Lu, Liang Lin

CoRR, 2022

Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels.

Tianshui Chen, Tao Pu, Lingbo Liu, Yukai Shi, Zhijing Yang, Liang Lin

CoRR, 2022

Semantic Representation and Dependency Learning for Multi-Label Image Recognition.

Tao Pu, Lixian Yuan, Hefeng Wu, Tianshui Chen, Ling Tian, Liang Lin

CoRR, 2022

Exploring Negatives in Contrastive Learning for Unpaired Image-to-Image Translation.

Yupei Lin, Sen Zhang, Tianshui Chen, Yongyi Lu, Guangping Li, Yukai Shi

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Learning Consistent Global-Local Representation for Cross-Domain Facial Expression Recognition.

Yuhao Xie, Yuefang Gao, Jiantao Lin, Tianshui Chen

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Structured Semantic Transfer for Multi-Label Recognition with Partial Labels.

Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Liang Lin

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels.

Tao Pu, Tianshui Chen, Hefeng Wu, Liang Lin

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Fine-Grained Image Captioning With Global-Local Discriminative Objective.

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

IEEE Trans. Multim., 2021

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

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

CoRR, 2021

AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition.

Tao Pu, Tianshui Chen, Yuan Xie, Hefeng Wu, Liang Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Crowd counting via scale-communicative aggregation networks.

Lixian Yuan, Zhilin Qiu, Lingbo Liu, Hefeng Wu, Tianshui Chen, Pei Chen, Liang Lin

Neurocomputing, 2020

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

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

CoRR, 2020

Efficient Crowd Counting via Structured Knowledge Transfer.

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

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Active Object Search.

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

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition.

Yuan Xie, Tianshui Chen, Tao Pu, Hefeng Wu, Liang Lin

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Exploiting Knowledge Embedded Soft Labels for Image Recognition.

Lixian Yuan, Riquan Chen, Hefeng Wu, Tianshui Chen, Wentao Wang, Pei Chen

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Knowledge Graph Transfer Network for Few-Shot Recognition.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Neural Task Planning With AND-OR Graph Representations.

Tianshui Chen, Riquan Chen, Lin Nie, Xiaonan Luo, Xiaobai Liu, Liang Lin

IEEE Trans. Multim., 2019

Concrete Image Captioning by Integrating Content Sensitive and Global Discriminative Objective.

Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Qing Wang, Liang Lin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Semi-Supervised Video Salient Object Detection Using Pseudo-Labels.

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

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

Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Knowledge-Embedded Routing Network for Scene Graph Generation.

Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis.

Chao Chen, Guanbin Li, Ruijia Xu, Tianshui Chen, Meng Wang, Liang Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Graph attention propagation for few-shot learning.

Xiaolu Hui, Riquan Chen, Tianshui Chen

Proceedings of the ACM Turing Celebration Conference - China, 2019

2018

Learning to Segment Object Candidates via Recursive Neural Networks.

Tianshui Chen, Liang Lin, Xian Wu, Nong Xiao, Xiaonan Luo

IEEE Trans. Image Process., 2018

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

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

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Deep Reasoning with Knowledge Graph for Social Relationship Understanding.

Zhouxia Wang, Tianshui Chen, Jimmy S. J. Ren, Weihao Yu, Hui Cheng, Liang Lin

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition.

Tianshui Chen, Liang Lin, Riquan Chen, Yang Wu, Xiaonan Luo

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition.

Tianshui Chen, Zhouxia Wang, Guanbin Li, Liang Lin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Learning a Wavelet-Like Auto-Encoder to Accelerate Deep Neural Networks.

Tianshui Chen, Liang Lin, Wangmeng Zuo, Xiaonan Luo, Lei Zhang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning.

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

IEEE Trans. Image Process., 2017

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

Tianshui Chen, Liang Lin, Wangmeng Zuo, Xiaonan Luo, Lei Zhang

CoRR, 2017

Knowledge-guided recurrent neural network learning for task-oriented action prediction.

Liang Lin, Lili Huang, Tianshui Chen, Yukang Gan, Hui Cheng

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Multi-label Image Recognition by Recurrently Discovering Attentional Regions.

Zhouxia Wang, Tianshui Chen, Guanbin Li, Ruijia Xu, Liang Lin

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

DISC: Deep Image Saliency Computing via Progressive Representation Learning.

Tianshui Chen, Liang Lin, Lingbo Liu, Xiaonan Luo, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2016

Learning to Segment Object Proposals via Recursive Neural Networks.

Tianshui Chen, Liang Lin, Xian Wu, Xiaonan Luo

CoRR, 2016

Character proposal network for robust text extraction.

Shuye Zhang, Mude Lin, Tianshui Chen, Lianwen Jin, Liang Lin

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016