Tianshui Chen

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 95

Top Topics

Recursive Neural Networks

Knowledge Transfer

Graph Representation

Road Extraction

Top Venues

IEEE Trans. Multim.

Publications

Tao Pu, Tianshui Chen, Hefeng Wu, Yukai Shi, Zhijing Yang, Liang Lin
Dual-perspective semantic-aware representation blending for multi-label image recognition with partial labels. Expert Syst. Appl. 249 (2024)
Zhouxia Wang, Ziyang Yuan, Xintao Wang, Yaowei Li, Tianshui Chen, Menghan Xia, Ping Luo, Ying Shan
MotionCtrl: A Unified and Flexible Motion Controller for Video Generation. SIGGRAPH (Conference Paper Track) (2024)
Hefeng Wu, Weifeng Chen, Zhibin Liu, Tianshui Chen, Zhiguang Chen, Liang Lin
Contrastive Transformer Learning With Proximity Data Generation for Text-Based Person Search. IEEE Trans. Circuits Syst. Video Technol. 34 (8) (2024)
Yuefang Gao, Yuhao Xie, Zeke Zexi Hu, Tianshui Chen, Liang Lin
Adaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression Recognition. IEEE Trans. Multim. 26 (2024)
Siyuan Peng, Mingliang Yang, Zhijing Yang, Tianshui Chen, Jieming Xie, Guang Ma
A weighted prior tensor train decomposition method for community detection in multi-layer networks. Neural Networks 179 (2024)
Jiantao Lin, Tianshui Chen, Yingcong Chen, Zhijing Yang, Yuefang Gao
Graph Representation and Prototype Learning for webly supervised fine-grained image recognition. Pattern Recognit. Lett. 183 (2024)
Tianshui Chen, Weihang Wang, Tao Pu, Jinghui Qin, Zhijing Yang, Jie Liu, Liang Lin
Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration. CoRR (2024)
Ruihan Chen, Junpeng Tan, Yinghong Zhou, Zhijing Yang, Feiping Nie, Tianshui Chen
Asymmetric low-rank double-level cooperation for scalable discrete cross-modal hashing. Expert Syst. Appl. 237 (Part C) (2024)
Yukai Shi, Yupei Lin, Pengxu Wei, Xiaoyu Xian, Tianshui Chen, Liang Lin
Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion Prior. CoRR (2024)
Yuefang Gao, Yuhao Xie, Zeke Zexi Hu, Tianshui Chen, Liang Lin
Adaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression Recognition. CoRR (2024)
Tao Pu, Tianshui Chen, Hefeng Wu, Yongyi Lu, Liang Lin
Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph Generation. IEEE Trans. Image Process. 33 (2024)
Yukai Shi, Yupei Lin, Pengxu Wei, Xiaoyu Xian, Tianshui Chen, Liang Lin
Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion Prior. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Hui Fu, Zeqing Wang, Ke Gong, Keze Wang, Tianshui Chen, Haojie Li, Haifeng Zeng, Wenxiong Kang
Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation. AAAI (2024)
Tao Pu, Mingzhan Sun, Hefeng Wu, Tianshui Chen, Ling Tian, Liang Lin
Semantic representation and dependency learning for multi-label image recognition. Neurocomputing 526 (2023)
Zhouxia Wang, Jiawei Zhang, Tianshui Chen, Wenping Wang, Ping Luo
RestoreFormer++: Towards Real-World Blind Face Restoration From Undegraded Key-Value Pairs. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Junyang Chen, Xiaoyu Xian, Zhijing Yang, Tianshui Chen, Yongyi Lu, Yukai Shi, Jinshan Pan, Liang Lin
Open-World Pose Transfer via Sequential Test-Time Adaption. CoRR (2023)
Zhouxia Wang, Jiawei Zhang, Tianshui Chen, Wenping Wang, Ping Luo
RestoreFormer++: Towards Real-World Blind Face Restoration from Undegraded Key-Value Pairs. CoRR (2023)
Zhijing Yang, Junyang Chen, Yukai Shi, Hao Li, Tianshui Chen, Liang Lin
OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup. CoRR (2023)
Zhouxia Wang, Ziyang Yuan, Xintao Wang, Tianshui Chen, Menghan Xia, Ping Luo, Ying Shan
MotionCtrl: A Unified and Flexible Motion Controller for Video Generation. CoRR (2023)
Yongzong Xu, Zhijing Yang, Tianshui Chen, Kai Li, Chunmei Qing
Progressive Transformer Machine for Natural Character Reenactment. ACM Trans. Multim. Comput. Commun. Appl. 19 (2s) (2023)
Hefeng Wu, Yandong Chen, Lingbo Liu, Tianshui Chen, Keze Wang, Liang Lin
SQLNet: Scale-Modulated Query and Localization Network for Few-Shot Class-Agnostic Counting. CoRR (2023)
Zhenghua Peng, Yu Luo, Tianshui Chen, Keke Xu, Shuangping Huang
Perception and Semantic Aware Regularization for Sequential Confidence Calibration. CVPR (2023)
Zhenghua Peng, Yu Luo, Tianshui Chen, Keke Xu, Shuangping Huang
Perception and Semantic Aware Regularization for Sequential Confidence Calibration. CoRR (2023)
Zhihua Xu, Xiaobin Hong, Tianshui Chen, Zhijing Yang, Yukai Shi
Scale-Aware Squeeze-and-Excitation for Lightweight Object Detection. IEEE Robotics Autom. Lett. 8 (1) (2023)
Tao Pu, Tianshui Chen, Hefeng Wu, Yongyi Lu, Liang Lin
Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph Generation. CoRR (2023)
Lingbo Liu, Zewei Yang, Guanbin Li, Kuo Wang, Tianshui Chen, Liang Lin
Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction. IEEE Trans. Neural Networks Learn. Syst. 34 (7) (2023)
Zhijing Yang, Junyang Chen, Yukai Shi, Hao Li, Tianshui Chen, Liang Lin
OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup. IEEE Trans. Multim. 25 (2023)
Hefeng Wu, Weifeng Chen, Zhibin Liu, Tianshui Chen, Zhiguang Chen, Liang Lin
Contrastive Transformer Learning with Proximity Data Generation for Text-Based Person Search. CoRR (2023)
Hui Fu, Zeqing Wang, Ke Gong, Keze Wang, Tianshui Chen, Haojie Li, Haifeng Zeng, Wenxiong Kang
Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation. CoRR (2023)
Si Zheng, Junbin Chen, Zhijing Yang, Tianshui Chen, Yongyi Lu
Face Reenactment Based on Motion Field Representation. BICS (2023)
Ziyi Tang, Ruilin Wang, Weixing Chen, Keze Wang, Yang Liu, Tianshui Chen, Liang Lin
Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs. CoRR (2023)
Tao Pu, Tianshui Chen, Hefeng Wu, Yongyi Lu, Liang Lin
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. CoRR (2022)
Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Liang Lin
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels. AAAI (2022)
Zeng Lu, Tao Pu, Tianshui Chen, Liang Lin
Content-Aware Hierarchical Representation Selection for Cross-View Geo-Localization. ACCV (5) (2022)
Yupei Lin, Sen Zhang, Tianshui Chen, Yongyi Lu, Guangping Li, Yukai Shi
Exploring Negatives in Contrastive Learning for Unpaired Image-to-Image Translation. ACM Multimedia (2022)
Ruimian Wen, Zhijing Yang, Tianshui Chen, Hao Li, Kai Li
Progressive representation recalibration for lightweight super-resolution. Neurocomputing 504 (2022)
Tao Pu, Qianru Lao, Hefeng Wu, Tianshui Chen, Liang Lin
Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels. CoRR (2022)
Tianshui Chen, Tao Pu, Lingbo Liu, Yukai Shi, Zhijing Yang, Liang Lin
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels. CoRR (2022)
Yupei Lin, Sen Zhang, Tianshui Chen, Yongyi Lu, Guangping Li, Yukai Shi
Exploring Negatives in Contrastive Learning for Unpaired Image-to-Image Translation. CoRR (2022)
Tao Pu, Lixian Yuan, Hefeng Wu, Tianshui Chen, Ling Tian, Liang Lin
Semantic Representation and Dependency Learning for Multi-Label Image Recognition. CoRR (2022)
Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Lingbo Liu, Liang Lin
Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44 (3) (2022)
Tao Pu, Tianshui Chen, Hefeng Wu, Liang Lin
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. CoRR (2022)
Yuhao Xie, Yuefang Gao, Jiantao Lin, Tianshui Chen
Learning Consistent Global-Local Representation for Cross-Domain Facial Expression Recognition. ICPR (2022)
Lin Nie, Tianshui Chen, Zhouxia Wang, Wenxiong Kang, Liang Lin
Multi-label image recognition with attentive transformer-localizer module. Multim. Tools Appl. 81 (6) (2022)
Tao Pu, Tianshui Chen, Hefeng Wu, Liang Lin
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. AAAI (2022)
Lingbo Liu, Zewei Yang, Guanbin Li, Kuo Wang, Tianshui Chen, Liang Lin
Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction. CoRR (2021)
Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Guangchun Luo, Liang Lin
Fine-Grained Image Captioning With Global-Local Discriminative Objective. IEEE Trans. Multim. 23 (2021)
Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Liang Lin
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels. CoRR (2021)
Tao Pu, Tianshui Chen, Yuan Xie, Hefeng Wu, Liang Lin
AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition. ICRA (2021)
Lingbo Liu, Jiaqi Chen, Hefeng Wu, Tianshui Chen, Guanbin Li, Liang Lin
Efficient Crowd Counting via Structured Knowledge Transfer. CoRR (2020)
Lingbo Liu, Jiaqi Chen, Hefeng Wu, Tianshui Chen, Guanbin Li, Liang Lin
Efficient Crowd Counting via Structured Knowledge Transfer. ACM Multimedia (2020)
Yuan Xie, Tianshui Chen, Tao Pu, Hefeng Wu, Liang Lin
Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition. ACM Multimedia (2020)
Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Guangchun Luo, Liang Lin
Fine-Grained Image Captioning with Global-Local Discriminative Objective. CoRR (2020)
Tianshui Chen, Tao Pu, Yuan Xie, Hefeng Wu, Lingbo Liu, Liang Lin
Look into Facial Expression Domain Adaptation: Adversarial Graph Learning and A Fair Evaluation Benchmark. CoRR (2020)
Yuan Xie, Tianshui Chen, Tao Pu, Hefeng Wu, Liang Lin
Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition. CoRR (2020)
Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition. CoRR (2020)
Tao Pu, Tianshui Chen, Yuan Xie, Hefeng Wu, Liang Lin
AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition. CoRR (2020)
Lixian Yuan, Riquan Chen, Hefeng Wu, Tianshui Chen, Wentao Wang, Pei Chen
Exploiting Knowledge Embedded Soft Labels for Image Recognition. ICPR (2020)
Lixian Yuan, Zhilin Qiu, Lingbo Liu, Hefeng Wu, Tianshui Chen, Pei Chen, Liang Lin
Crowd counting via scale-communicative aggregation networks. Neurocomputing 409 (2020)
Jie Wu, Tianshui Chen, Lishan Huang, Hefeng Wu, Guanbin Li, Ling Tian, Liang Lin
Active Object Search. ACM Multimedia (2020)
Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin
Knowledge Graph Transfer Network for Few-Shot Recognition. AAAI (2020)
Tianshui Chen, Riquan Chen, Lin Nie, Xiaonan Luo, Xiaobai Liu, Liang Lin
Neural Task Planning With AND-OR Graph Representations. IEEE Trans. Multim. 21 (4) (2019)
Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin
Knowledge Graph Transfer Network for Few-Shot Recognition. CoRR (2019)
Chao Chen, Guanbin Li, Ruijia Xu, Tianshui Chen, Meng Wang, Liang Lin
ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis. CVPR (2019)
Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels. ICCV (2019)
Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin
Knowledge-Embedded Routing Network for Scene Graph Generation. CoRR (2019)
Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin
Knowledge-Embedded Routing Network for Scene Graph Generation. CVPR (2019)
Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition. ICCV (2019)
Xiaolu Hui, Riquan Chen, Tianshui Chen
Graph attention propagation for few-shot learning. ACM TUR-C (2019)
Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Qing Wang, Liang Lin
Concrete Image Captioning by Integrating Content Sensitive and Global Discriminative Objective. ICME (2019)
Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition. CoRR (2019)
Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels. CoRR (2019)
Tianshui Chen, Riquan Chen, Lin Nie, Xiaonan Luo, Xiaobai Liu, Liang Lin
Neural Task Planning with And-Or Graph Representations. CoRR (2018)
Tianshui Chen, Liang Lin, Riquan Chen, Yang Wu, Xiaonan Luo
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition. IJCAI (2018)
Tianshui Chen, Zhouxia Wang, Guanbin Li, Liang Lin
Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition. AAAI (2018)
Zhouxia Wang, Tianshui Chen, Jimmy S. J. Ren, Weihao Yu, Hui Cheng, Liang Lin
Deep Reasoning with Knowledge Graph for Social Relationship Understanding. IJCAI (2018)
Tianshui Chen, Wenxi Wu, Yuefang Gao, Le Dong, Xiaonan Luo, Liang Lin
Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding. CoRR (2018)
Tianshui Chen, Liang Lin, Wangmeng Zuo, Xiaonan Luo, Lei Zhang
Learning a Wavelet-Like Auto-Encoder to Accelerate Deep Neural Networks. AAAI (2018)
Tianshui Chen, Liang Lin, Xian Wu, Nong Xiao, Xiaonan Luo
Learning to Segment Object Candidates via Recursive Neural Networks. IEEE Trans. Image Process. 27 (12) (2018)
Tianshui Chen, Wenxi Wu, Yuefang Gao, Le Dong, Xiaonan Luo, Liang Lin
Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding. ACM Multimedia (2018)
Zhouxia Wang, Tianshui Chen, Jimmy S. J. Ren, Weihao Yu, Hui Cheng, Liang Lin
Deep Reasoning with Knowledge Graph for Social Relationship Understanding. CoRR (2018)
Tianshui Chen, Liang Lin, Riquan Chen, Yang Wu, Xiaonan Luo
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition. CoRR (2018)
Tianshui Chen, Zhouxia Wang, Guanbin Li, Liang Lin
Recurrent Attentional Reinforcement Learning for Multi-label Image Recognition. CoRR (2017)
Liang Lin, Lili Huang, Tianshui Chen, Yukang Gan, Hui Cheng
Knowledge-Guided Recurrent Neural Network Learning for Task-Oriented Action Prediction. CoRR (2017)
Dongyu Zhang, Liang Lin, Tianshui Chen, Xian Wu, Wenwei Tan, Ebroul Izquierdo
Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning. CoRR (2017)
Dongyu Zhang, Liang Lin, Tianshui Chen, Xian Wu, Wenwei Tan, Ebroul Izquierdo
Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning. IEEE Trans. Image Process. 26 (1) (2017)
Zhouxia Wang, Tianshui Chen, Guanbin Li, Ruijia Xu, Liang Lin
Multi-label Image Recognition by Recurrently Discovering Attentional Regions. CoRR (2017)
Zhouxia Wang, Tianshui Chen, Guanbin Li, Ruijia Xu, Liang Lin
Multi-label Image Recognition by Recurrently Discovering Attentional Regions. ICCV (2017)
Tianshui Chen, Liang Lin, Wangmeng Zuo, Xiaonan Luo, Lei Zhang
Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks. CoRR (2017)
Liang Lin, Lili Huang, Tianshui Chen, Yukang Gan, Hui Cheng
Knowledge-guided recurrent neural network learning for task-oriented action prediction. ICME (2017)
Tianshui Chen, Liang Lin, Lingbo Liu, Xiaonan Luo, Xuelong Li
DISC: Deep Image Saliency Computing via Progressive Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 27 (6) (2016)
Shuye Zhang, Mude Lin, Tianshui Chen, Lianwen Jin, Liang Lin
Character proposal network for robust text extraction. ICASSP (2016)
Tianshui Chen, Liang Lin, Xian Wu, Xiaonan Luo
Learning to Segment Object Proposals via Recursive Neural Networks. CoRR (2016)
Shuye Zhang, Mude Lin, Tianshui Chen, Lianwen Jin, Liang Lin
Character Proposal Network for Robust Text Extraction. CoRR (2016)
Tianshui Chen, Liang Lin, Lingbo Liu, Xiaonan Luo, Xuelong Li
DISC: Deep Image Saliency Computing via Progressive Representation Learning. CoRR (2015)