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2020 – today
- 2024
- [j24]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): 121703 (2024) - [j23]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: 123526 (2024) - [j22]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: 106523 (2024) - [j21]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: 78-85 (2024) - [j20]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): 7005-7016 (2024) - [j19]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: 1-11 (2024) - [j18]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: 556-568 (2024) - [j17]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: 6676-6688 (2024) - [c29]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: 1770-1777 - [c28]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: 114 - [i43]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 abs/2401.11085 (2024) - [i42]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 abs/2406.00632 (2024) - [i41]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 abs/2407.06844 (2024) - 2023
- [j16]Tao Pu, Mingzhan Sun, Hefeng Wu, Tianshui Chen, Ling Tian, Liang Lin:
Semantic representation and dependency learning for multi-label image recognition. Neurocomputing 526: 121-130 (2023) - [j15]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): 15462-15476 (2023) - [j14]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): 49-56 (2023) - [j13]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: 1477-1488 (2023) - [j12]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): 3308-3322 (2023) - [j11]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): 92:1-92:22 (2023) - [c27]Si Zheng, Junbin Chen, Zhijing Yang, Tianshui Chen, Yongyi Lu:
Face Reenactment Based on Motion Field Representation. BICS 2023: 354-364 - [c26]Zhenghua Peng, Yu Luo, Tianshui Chen, Keke Xu, Shuangping Huang:
Perception and Semantic Aware Regularization for Sequential Confidence Calibration. CVPR 2023: 10658-10668 - [i40]Zhijing Yang, Junyang Chen, Yukai Shi, Hao Li, Tianshui Chen, Liang Lin:
OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup. CoRR abs/2301.00965 (2023) - [i39]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 abs/2303.10945 (2023) - [i38]Zhenghua Peng, Yu Luo, Tianshui Chen, Keke Xu, Shuangping Huang:
Perception and Semantic Aware Regularization for Sequential Confidence Calibration. CoRR abs/2305.19498 (2023) - [i37]Zhouxia Wang, Jiawei Zhang, Tianshui Chen, Wenping Wang, Ping Luo:
RestoreFormer++: Towards Real-World Blind Face Restoration from Undegraded Key-Value Pairs. CoRR abs/2308.07228 (2023) - [i36]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 abs/2308.11914 (2023) - [i35]Tao Pu, Tianshui Chen, Hefeng Wu, Yongyi Lu, Liang Lin:
Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph Generation. CoRR abs/2309.13237 (2023) - [i34]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 abs/2311.09084 (2023) - [i33]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 abs/2311.10011 (2023) - [i32]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 abs/2312.03641 (2023) - [i31]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 abs/2312.10877 (2023) - 2022
- [j10]Ruimian Wen, Zhijing Yang, Tianshui Chen, Hao Li, Kai Li:
Progressive representation recalibration for lightweight super-resolution. Neurocomputing 504: 240-250 (2022) - [j9]Lin Nie, Tianshui Chen, Zhouxia Wang, Wenxiong Kang, Liang Lin:
Multi-label image recognition with attentive transformer-localizer module. Multim. Tools Appl. 81(6): 7917-7940 (2022) - [j8]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): 1371-1384 (2022) - [j7]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): 9887-9903 (2022) - [c25]Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Liang Lin:
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels. AAAI 2022: 339-346 - [c24]Tao Pu, Tianshui Chen, Hefeng Wu, Liang Lin:
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. AAAI 2022: 2091-2098 - [c23]Zeng Lu, Tao Pu, Tianshui Chen, Liang Lin:
Content-Aware Hierarchical Representation Selection for Cross-View Geo-Localization. ACCV (5) 2022: 267-280 - [c22]Yuhao Xie, Yuefang Gao, Jiantao Lin, Tianshui Chen:
Learning Consistent Global-Local Representation for Cross-Domain Facial Expression Recognition. ICPR 2022: 2489-2495 - [c21]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: 1186-1194 - [i30]Tao Pu, Tianshui Chen, Hefeng Wu, Liang Lin:
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. CoRR abs/2203.02172 (2022) - [i29]Tao Pu, Lixian Yuan, Hefeng Wu, Tianshui Chen, Ling Tian, Liang Lin:
Semantic Representation and Dependency Learning for Multi-Label Image Recognition. CoRR abs/2204.03795 (2022) - [i28]Yupei Lin, Sen Zhang, Tianshui Chen, Yongyi Lu, Guangping Li, Yukai Shi:
Exploring Negatives in Contrastive Learning for Unpaired Image-to-Image Translation. CoRR abs/2204.11018 (2022) - [i27]Tianshui Chen, Tao Pu, Lingbo Liu, Yukai Shi, Zhijing Yang, Liang Lin:
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels. CoRR abs/2205.11131 (2022) - [i26]Tao Pu, Tianshui Chen, Hefeng Wu, Yongyi Lu, Liang Lin:
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. CoRR abs/2205.13092 (2022) - [i25]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 abs/2211.07846 (2022) - 2021
- [j6]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: 2413-2427 (2021) - [c20]Tao Pu, Tianshui Chen, Yuan Xie, Hefeng Wu, Liang Lin:
AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition. ICRA 2021: 11154-11161 - [i24]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 abs/2111.15119 (2021) - [i23]Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Liang Lin:
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels. CoRR abs/2112.10941 (2021) - 2020
- [j5]Lixian Yuan, Zhilin Qiu, Lingbo Liu, Hefeng Wu, Tianshui Chen, Pei Chen, Liang Lin:
Crowd counting via scale-communicative aggregation networks. Neurocomputing 409: 420-430 (2020) - [c19]Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin:
Knowledge Graph Transfer Network for Few-Shot Recognition. AAAI 2020: 10575-10582 - [c18]Lixian Yuan, Riquan Chen, Hefeng Wu, Tianshui Chen, Wentao Wang, Pei Chen:
Exploiting Knowledge Embedded Soft Labels for Image Recognition. ICPR 2020: 4989-4995 - [c17]Jie Wu, Tianshui Chen, Lishan Huang, Hefeng Wu, Guanbin Li, Ling Tian, Liang Lin:
Active Object Search. ACM Multimedia 2020: 973-981 - [c16]Yuan Xie, Tianshui Chen, Tao Pu, Hefeng Wu, Liang Lin:
Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition. ACM Multimedia 2020: 1255-1264 - [c15]Lingbo Liu, Jiaqi Chen, Hefeng Wu, Tianshui Chen, Guanbin Li, Liang Lin:
Efficient Crowd Counting via Structured Knowledge Transfer. ACM Multimedia 2020: 2645-2654 - [i22]Lingbo Liu, Jiaqi Chen, Hefeng Wu, Tianshui Chen, Guanbin Li, Liang Lin:
Efficient Crowd Counting via Structured Knowledge Transfer. CoRR abs/2003.10120 (2020) - [i21]Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Guangchun Luo, Liang Lin:
Fine-Grained Image Captioning with Global-Local Discriminative Objective. CoRR abs/2007.10662 (2020) - [i20]Yuan Xie, Tianshui Chen, Tao Pu, Hefeng Wu, Liang Lin:
Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition. CoRR abs/2008.00859 (2020) - [i19]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 abs/2008.00923 (2020) - [i18]Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu:
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition. CoRR abs/2009.09450 (2020) - [i17]Tao Pu, Tianshui Chen, Yuan Xie, Hefeng Wu, Liang Lin:
AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition. CoRR abs/2012.14587 (2020)
2010 – 2019
- 2019
- [j4]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): 1022-1034 (2019) - [c14]Xiaolu Hui, Riquan Chen, Tianshui Chen:
Graph attention propagation for few-shot learning. ACM TUR-C 2019: 103:1-103:4 - [c13]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: 4994-5002 - [c12]Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin:
Knowledge-Embedded Routing Network for Scene Graph Generation. CVPR 2019: 6163-6171 - [c11]Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin:
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition. ICCV 2019: 522-531 - [c10]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: 7283-7292 - [c9]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: 1306-1311 - [i16]Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin:
Knowledge-Embedded Routing Network for Scene Graph Generation. CoRR abs/1903.03326 (2019) - [i15]Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin:
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels. CoRR abs/1908.04051 (2019) - [i14]Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin:
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition. CoRR abs/1908.07325 (2019) - [i13]Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin:
Knowledge Graph Transfer Network for Few-Shot Recognition. CoRR abs/1911.09579 (2019) - 2018
- [j3]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): 5827-5839 (2018) - [c8]Tianshui Chen, Liang Lin, Wangmeng Zuo, Xiaonan Luo, Lei Zhang:
Learning a Wavelet-Like Auto-Encoder to Accelerate Deep Neural Networks. AAAI 2018: 6722-6729 - [c7]Tianshui Chen, Zhouxia Wang, Guanbin Li, Liang Lin:
Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition. AAAI 2018: 6730-6737 - [c6]Tianshui Chen, Liang Lin, Riquan Chen, Yang Wu, Xiaonan Luo:
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition. IJCAI 2018: 627-634 - [c5]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: 1021-1028 - [c4]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: 2023-2031 - [i12]Zhouxia Wang, Tianshui Chen, Jimmy S. J. Ren, Weihao Yu, Hui Cheng, Liang Lin:
Deep Reasoning with Knowledge Graph for Social Relationship Understanding. CoRR abs/1807.00504 (2018) - [i11]Tianshui Chen, Liang Lin, Riquan Chen, Yang Wu, Xiaonan Luo:
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition. CoRR abs/1807.00505 (2018) - [i10]Tianshui Chen, Wenxi Wu, Yuefang Gao, Le Dong, Xiaonan Luo, Liang Lin:
Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding. CoRR abs/1808.04505 (2018) - [i9]Tianshui Chen, Riquan Chen, Lin Nie, Xiaonan Luo, Xiaobai Liu, Liang Lin:
Neural Task Planning with And-Or Graph Representations. CoRR abs/1808.09284 (2018) - 2017
- [j2]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): 328-339 (2017) - [c3]Zhouxia Wang, Tianshui Chen, Guanbin Li, Ruijia Xu, Liang Lin:
Multi-label Image Recognition by Recurrently Discovering Attentional Regions. ICCV 2017: 464-472 - [c2]Liang Lin, Lili Huang, Tianshui Chen, Yukang Gan, Hui Cheng:
Knowledge-guided recurrent neural network learning for task-oriented action prediction. ICME 2017: 625-630 - [i8]Liang Lin, Lili Huang, Tianshui Chen, Yukang Gan, Hui Cheng:
Knowledge-Guided Recurrent Neural Network Learning for Task-Oriented Action Prediction. CoRR abs/1707.04677 (2017) - [i7]Dongyu Zhang, Liang Lin, Tianshui Chen, Xian Wu, Wenwei Tan, Ebroul Izquierdo:
Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning. CoRR abs/1710.01453 (2017) - [i6]Zhouxia Wang, Tianshui Chen, Guanbin Li, Ruijia Xu, Liang Lin:
Multi-label Image Recognition by Recurrently Discovering Attentional Regions. CoRR abs/1711.02816 (2017) - [i5]Tianshui Chen, Zhouxia Wang, Guanbin Li, Liang Lin:
Recurrent Attentional Reinforcement Learning for Multi-label Image Recognition. CoRR abs/1712.07465 (2017) - [i4]Tianshui Chen, Liang Lin, Wangmeng Zuo, Xiaonan Luo, Lei Zhang:
Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks. CoRR abs/1712.07493 (2017) - 2016
- [j1]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): 1135-1149 (2016) - [c1]Shuye Zhang, Mude Lin, Tianshui Chen, Lianwen Jin, Liang Lin:
Character proposal network for robust text extraction. ICASSP 2016: 2633-2637 - [i3]Shuye Zhang, Mude Lin, Tianshui Chen, Lianwen Jin, Liang Lin:
Character Proposal Network for Robust Text Extraction. CoRR abs/1602.04348 (2016) - [i2]Tianshui Chen, Liang Lin, Xian Wu, Xiaonan Luo:
Learning to Segment Object Proposals via Recursive Neural Networks. CoRR abs/1612.01057 (2016) - 2015
- [i1]Tianshui Chen, Liang Lin, Lingbo Liu, Xiaonan Luo, Xuelong Li:
DISC: Deep Image Saliency Computing via Progressive Representation Learning. CoRR abs/1511.04192 (2015)
Coauthor Index
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