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Tie Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Tie Liu 0001
— Chinese Academy of Sciences, Xinjiang Institute of Ecology and Geography, Urumqi, China
- Tie Liu 0002
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2020 – today
- 2025
- [j27]Zhelin Zhang, Tie Liu, Liang Ding, Haoyu Wang, Peng Xu, Huaiguang Yang, Haibo Gao, Zongquan Deng, Joni Pajarinen:
Imitation-Enhanced Reinforcement Learning With Privileged Smooth Transition for Hexapod Locomotion. IEEE Robotics Autom. Lett. 10(1): 350-357 (2025) - 2024
- [j26]Yuchen Pan
Multi-feature deep supervised voiceprint adversarial network for depression recognition from speech. Biomed. Signal Process. Control. 89: 105704 (2024) - [j25]Yuchen Pan
Spatial-Temporal Attention Network for Depression Recognition from facial videos. Expert Syst. Appl. 237(Part B): 121410 (2024) - [j24]Handan Zhang, Tie Liu, Yuanliu Liu, Zejian Yuan:
Csf: global-local shading orders for intrinsic image decomposition. Mach. Vis. Appl. 35(1): 4 (2024) - [j23]Tie Liu
Assessing Face Image Quality: A Large-Scale Database and a Transformer Method. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3981-4000 (2024) - [j22]Zhengyang Li
Enhancing Cooperative Exploration and Planning: UAV-Legged Robot Synergy. IEEE Robotics Autom. Lett. 9(11): 10367-10374 (2024) - [j21]Yuchen Pan
Integrating Deep Facial Priors Into Landmarks for Privacy Preserving Multimodal Depression Recognition. IEEE Trans. Affect. Comput. 15(3): 828-836 (2024) - [j20]Zhuojin Han, Yuanyuan Shang
Spatial-Temporal Feature Network for Speech-Based Depression Recognition. IEEE Trans. Cogn. Dev. Syst. 16(1): 308-318 (2024) - [j19]Tie Liu
Complex Surface Electromyography Signal Gesture Recognition Based on Multipathway Featured Scale Convolutional Neural Network. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [c42]Qiwen Wang
Enhanced Weapon Target Allocation through Integration of Stochastic Dynamic Programming and Machine Learning. DSAI 2024: 148-152 - [c41]Jincheng Zhang, Qijun Zhao, Tie Liu:
Feature-Aware Noise Contrastive Learning For Unsupervised Red Panda Re-Identification. IJCNN 2024: 1-7 - [c40]Mengyuan Yang, Yuanyuan Shang, Jingyi Liu, Zhuhong Shao, Tie Liu, Hui Ding, Hailiang Li:
LMS-VDR: Integrating Landmarks into Multi-scale Hybrid Net for Video-Based Depression Recognition. PRCV (10) 2024: 299-312 - [c39]Zongming Peng, Tie Liu, Yangqianqian Chen, Yue Yang, Keren Fu, Fan Pan, Qijun Zhao:
Identity-Preserving Animal Image Generation for Animal Individual Identification. PRCV (15) 2024: 349-362 - [i9]Tie Liu, Xuming Fang, Rong He:
Generative Diffusion Model (GDM) for Optimization of Wi-Fi Networks. CoRR abs/2404.15684 (2024) - [i8]Jincheng Zhang, Qijun Zhao, Tie Liu:
Feature-Aware Noise Contrastive Learning For Unsupervised Red Panda Re-Identification. CoRR abs/2405.00468 (2024) - [i7]Jingyu Wang, Xuming Fang, Dusit Niyato, Tie Liu:
Next-Generation Wi-Fi Networks with Generative AI: Design and Insights. CoRR abs/2408.04835 (2024) - 2023
- [j18]Shao-Lun Huang, Emilie Chouzenoux, Simon J. Godsill, Tie Liu, Linqi Song
Special issue on non-deterministic machine learning. J. Frankl. Inst. 360(17): 12875-12877 (2023) - [j17]Yuanyuan Shang
LQGDNet: A Local Quaternion and Global Deep Network for Facial Depression Recognition. IEEE Trans. Affect. Comput. 14(3): 2557-2563 (2023) - [c38]Tie Liu, Mai Xu, Shengxi Li, Chaoran Chen, Li Yang, Zhuoyi Lv:
Learnt Mutual Feature Compression for Machine Vision. ICASSP 2023: 1-5 - [c37]Yaning Han
Pseudo-labels Learning for Multi-source Weakly Supervised Salient Object Detection. ICDIP 2023: 45:1-45:8 - [c36]Chaoran Chen, Mai Xu, Shengxi Li, Tie Liu, Minglang Qiao, Zhuoyi Lv:
Residual based hierarchical feature compression for multi-task machine vision. ICME 2023: 1463-1468 - 2022
- [j16]Jiali Ding, Tie Liu, Yun Zhao, Zejian Yuan, Yuanyuan Shang:
HAPNet: a head-aware pedestrian detection network associated with the affinity field. Sci. China Inf. Sci. 65(6): 1-16 (2022) - [j15]Yunfei Wang
Multiple color image encryption based on cascaded quaternion gyrator transforms. Signal Process. Image Commun. 107: 116793 (2022) - [j14]Tie Liu
MRS-Net+ for Enhancing Face Quality of Compressed Videos. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2881-2894 (2022) - [j13]Ruijin Liu
Learning TBox With a Cascaded Anchor-Free Network for Vehicle Detection. IEEE Trans. Intell. Transp. Syst. 23(1): 321-332 (2022) - [c35]Ruijin Liu, Dapeng Chen, Tie Liu, Zhiliang Xiong, Zejian Yuan:
Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints. AAAI 2022: 1765-1772 - [c34]Fangyuan Gao
SFIC: Sparsity-Driven Facial Image Compression Network. ICIP 2022: 2916-2920 - [c33]Dianchun Bai, Xuesong Zheng, Tie Liu, Kairu Li, Junyou Yang:
Finger Disability Recognition Based on Holistically-Nested Edge Detection. ICIRA (1) 2022: 146-154 - [c32]Li Yang
TVFormer: Trajectory-guided Visual Quality Assessment on 360° Images with Transformers. ACM Multimedia 2022: 799-808 - [i6]Paul McVay, Tie Liu, Krishna Narayanan:
On Linear Separability under Linear Compression with Applications to Hard Support Vector Machine. CoRR abs/2202.01118 (2022) - 2021
- [j12]Tie Liu, Xu Yang, Yu Guo
Research on Influencing Factors of Technological Independent Innovation of Equipment Manufacturing Enterprises from the Perspective of Iceberg Theory. Complex. 2021: 2551680:1-2551680:14 (2021) - [j11]Zhao Yang
Equidistant distribution loss for person re-identification. Neurocomputing 455: 255-264 (2021) - [j10]Zihan Xu, Zhuhong Shao
Fusing structure and color features for cancelable face recognition. Multim. Tools Appl. 80(9): 14477-14494 (2021) - [j9]Zhenyu Guan
MFQE 2.0: A New Approach for Multi-Frame Quality Enhancement on Compressed Video. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 949-963 (2021) - [c31]Jianjun Zhan, Tie Liu, Tingting Wang, Haichao Huang, Yan Gu:
Research on the Project Management of Thermal Pipe Network Engineering Based on Cs Mode. ICITEE 2021: 9:1-9:5 - [c30]Jing Wang, Tie Liu, Zejian Yuan, Yuanyuan Shang:
A Robust Saliency Integrated Method for Monocular Motion Estimation. ICMVA 2021: 49-54 - [c29]Dianchun Bai, Tie Liu, Xinghua Han, Guo Chen, Yinlai Jiang, Hiroshi Yokoi:
Multi-Channel sEMG Signal Gesture Recognition Based on Improved CNN-LSTM Hybrid Models. ISR 2021: 111-116 - [c28]Haocong Ying, Tie Liu, Mingxin Ai, Jiali Ding, Yuanyuan Shang:
AICoacher: A System Framework for Online Realtime Workout Coach. ACM Multimedia 2021: 3787-3790 - [c27]Ruijin Liu, Zejian Yuan, Tie Liu, Zhiliang Xiong:
End-to-end Lane Shape Prediction with Transformers. WACV 2021: 3693-3701 - [i5]Ruijin Liu, Dapeng Chen, Tie Liu, Zhiliang Xiong, Zejian Yuan:
Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints. CoRR abs/2112.15351 (2021) - 2020
- [j8]Zhao Yang
A Novel Soft Margin Loss Function for Deep Discriminative Embedding Learning. IEEE Access 8: 202785-202794 (2020) - [j7]Zhao Yang, Jiehao Liu
Circle-Based Ratio Loss for Person Reidentification. Complex. 2020: 9860562:1-9860562:11 (2020) - [j6]Zhao Yang, Yuanxin Zhu, Tie Liu, Sai Zhao, Yunyan Wang, Dapeng Tao
Output Layer Multiplication for Class Imbalance Problem in Convolutional Neural Networks. Neural Process. Lett. 52(3): 2637-2653 (2020) - [c26]Jiali Ding, Tie Liu, Qixin Chen, Zejian Yuan, Yuanyuan Shang:
Visual Saliency Oriented Vehicle Scale Estimation. ICPR 2020: 1867-1873 - [c25]Tie Liu, Mai Xu, Shengxi Li, Rui Ding, Huaida Liu:
MRS-Net: Multi-Scale Recurrent Scalable Network for Face Quality Enhancement of Compressed Videos. ACM Multimedia 2020: 3292-3301 - [i4]Ruijin Liu, Zejian Yuan, Tie Liu, Zhiliang Xiong:
End-to-end Lane Shape Prediction with Transformers. CoRR abs/2011.04233 (2020)
2010 – 2019
- 2019
- [j5]Qixin Chen, Tie Liu
Salient Object Detection: Integrate Salient Features in the Deep Learning Framework. IEEE Access 7: 152483-152492 (2019) - [j4]Ren Yang
Enhancing Quality for HEVC Compressed Videos. IEEE Trans. Circuits Syst. Video Technol. 29(7): 2039-2054 (2019) - [c24]Tie Liu, Mai Xu, Zulin Wang:
Removing Rain in Videos: A Large-Scale Database and a Two-Stream ConvLSTM Approach. ICME 2019: 664-669 - [c23]Ziyang Song, Zejian Yuan, Tie Liu:
Residual Squeeze-and-Excitation Network for Battery Cell Surface Inspection. MVA 2019: 1-5 - [c22]Jinguo Zhu, Zejian Yuan, Tie Liu:
Welding Joints Inspection via Residual Attention Network. MVA 2019: 1-5 - [i3]Zhenyu Guan, Qunliang Xing, Mai Xu, Ren Yang, Tie Liu, Zulin Wang:
MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video. CoRR abs/1902.09707 (2019) - [i2]Tie Liu, Mai Xu, Zulin Wang:
Removing Rain in Videos: A Large-scale Database and A Two-stream ConvLSTM Approach. CoRR abs/1906.02526 (2019) - [i1]Xiang Wang, Tie Liu:
Multiple Sample Clustering. CoRR abs/1910.09731 (2019) - 2018
- [j3]Tie Liu, Haibin Duan, Yuanyuan Shang, Zejian Yuan, Nanning Zheng:
Automatic salient object sequence rebuilding for video segment analysis. Sci. China Inf. Sci. 61(1): 012205:1-012205:12 (2018) - [c21]Lai Jiang
DeepVS: A Deep Learning Based Video Saliency Prediction Approach. ECCV (14) 2018: 625-642 - 2017
- [c20]Yun Zhao, Zejian Yuan, Dapeng Chen, Jie Lyu, Tie Liu:
Fast Pedestrian Detection via Random Projection Features with Shape Prior. WACV 2017: 962-970 - 2011
- [j2]Tie Liu, Zejian Yuan, Jian Sun, Jingdong Wang
Learning to Detect a Salient Object. IEEE Trans. Pattern Anal. Mach. Intell. 33(2): 353-367 (2011) - [c19]Hongming Chen, Xiaoyuan Chen, Tie Liu, Yuhua Cheng:
ASIC implementation of an OFDM baseband transceiver for HINOC. ASICON 2011: 167-170 - [c18]Huaizu Jiang, Jingdong Wang
Automatic salient object segmentation based on context and shape prior. BMVC 2011: 1-12 - [c17]Peng Zhou, Guomei Shi, Qiuyuan Huang, Tie Liu:
Research and Improvement on SNR Estimation Algorithm in OFDM Used in Cable Channel. ICAIC (4) 2011: 274-281 - 2010
- [c16]Chunhua Tian, Feng Li, Jing Xiao, Tie Liu, Hao Zhang:
Unambiguity verification and execution prioritization of rule set. SOLI 2010: 46-51 - [c15]Tie Liu, Feng Li, Hao Zhang, Xiangyang He, Rongzeng Cao, Yongming Wei:
Provide financial risk management as service. SOLI 2010: 64-69 - [c14]Feng Li, Tie Liu, Rong Zeng Cao, Jun Xu:
Pricing and slot allocation for long-term customers of shipping transportation services. SOLI 2010: 357-362 - [c13]Jianqiang Hu, Jun Tong, Tie Liu, Rongzeng Cao, Bo Yang:
A two-level loan portfolio optimization problem. WSC 2010: 2614-2619
2000 – 2009
- 2009
- [j1]Tie Liu, Jingdong Wang
Picture Collage. IEEE Trans. Multim. 11(7): 1225-1239 (2009) - [c12]Geng Zhang, Zejian Yuan, Nanning Zheng, Xingdong Sheng, Tie Liu:
Visual Saliency Based Object Tracking. ACCV (2) 2009: 193-203 - [c11]Chun hua Tian, Hao Zhang, Feng Li, Tie Liu, Chen Wang:
Hybrid rule engine for operational policy management. SOLI 2009: 1-6 - [c10]Chunhua Tian, Hao Zhang, Feng Li, Tie Liu:
Air cargo load planning system: A rule-based optimization approach. SOLI 2009: 454-459 - [c9]Tie Liu, Chunhua Tian, Hao Zhang, Wei Ding:
Learning the priority for rule execution. SOLI 2009: 565-572 - [c8]Tie Liu, Chunhua Tian, Feng Li, Hao Zhang:
Rule graph: Incorporate expert and statistical knowledge for rule execution. SOLI 2009: 573-578 - [c7]Chunhua Tian, Hao Zhang, Feng Li, Tie Liu:
Rule flow logic verification: A simulation based approach. SOLI 2009: 669-674 - [c6]Chun hua Tian, Feng Li, Hao Zhang, Tie Liu, Chen Wang:
Rule flow learning: A multiple linear classifier algorithm. SOLI 2009: 718-723 - 2008
- [c5]Chulhan Lee, Tie Liu, Ozgur Oyman, Sriram Vishwanath:
Limits on Cognitive Communications in the Wide-band Regime. CrownCom 2008: 1-6 - [c4]Tie Liu, Nanning Zheng, Wei Ding, Zejian Yuan:
Video attention: Learning to detect a salient object sequence. ICPR 2008: 1-4 - [c3]Tie Liu, Vinod M. Prabhakaran, Sriram Vishwanath:
The secrecy capacity of a class of parallel Gaussian compound wiretap channels. ISIT 2008: 116-120 - 2007
- [c2]Tie Liu, Jian Sun, Nanning Zheng, Xiaoou Tang, Heung-Yeung Shum:
Learning to Detect A Salient Object. CVPR 2007 - 2005
- [c1]Tie Liu, Nanning Zheng, Hong Cheng:
Neural Network Based Online Feature Selection for Vehicle Tracking. ISNN (2) 2005: 226-231
Coauthor Index
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