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Yi Wei, Shaohui Liu, Jie Zhou, Jiwen Lu: Depth-Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10835-10849 (2023)
Haiqi Zhu, Seungmin Rho, Shaohui Liu, Feng Jiang: Learning Spatial Graph Structure for Multivariate KPI Anomaly Detection in Large-Scale Cyber-Physical Systems. IEEE Trans. Instrum. Meas. 72: 1-16 (2023)
Wenxue Cui, Shaohui Liu, Feng Jiang, Debin Zhao: Image Compressed Sensing Using Non-Local Neural Network. IEEE Trans. Multim. 25: 816-830 (2023)
Shaohui Liu, Yifan Yu, Rémi Pautrat, Marc Pollefeys, Viktor Larsson: 3D Line Mapping Revisited. CVPR 2023: 21445-21455
Shaohui Liu, Hao Zhu, Vassilis Kekatos: Dynamic Response Recovery Using Ambient Synchrophasor Data: A Synthetic Texas Interconnection Case Study. HICSS 2023: 2651-2660
Yan Shu, Shaohui Liu, Yu Zhou, Honglei Xu, Feng Jiang: EI2SR: Learning an Enhanced Intra-Instance Semantic Relationship for Arbitrary-Shaped Scene Text Detection. ICASSP 2023: 1-5
Honglei Xu, Shaohui Liu, Yan Shu, Feng Jiang: Aprogressive Image Dehazing Framework with inter and Intra Contrastive Learning. ICASSP 2023: 1-5
Yan Shu, Wei Wang, Yu Zhou, Shaohui Liu, Aoting Zhang, Dongbao Yang, Weiping Wang: Perceiving Ambiguity and Semantics without Recognition: An Efficient and Effective Ambiguous Scene Text Detector. ACM Multimedia 2023: 1851-1862
Wenxue Cui, Xingtao Wang, Xiaopeng Fan, Shaohui Liu, Chen Ma, Debin Zhao: G2-DUN: Gradient Guided Deep Unfolding Network for Image Compressive Sensing. ACM Multimedia 2023: 7933-7942
Yan Shu, Shaohui Liu, Honglei Xu, Feng Jiang: Read Pointer Meters in complex environments based on a Human-like Alignment and Recognition Algorithm. CoRR abs/2302.14323 (2023)
Shaohui Liu, Xien Liu, Ji Wu: How can Deep Learning Retrieve the Write-Missing Additional Diagnosis from Chinese Electronic Medical Record For DRG. CoRR abs/2303.16757 (2023)
Shaohui Liu, Yifan Yu, Rémi Pautrat, Marc Pollefeys, Viktor Larsson: 3D Line Mapping Revisited. CoRR abs/2303.17504 (2023)
Wenqian Cui, Shaohui Liu, Xiangling Fu, Xien Liu, Ji Wu: Exploring semantic information in disease: Simple Data Augmentation Techniques for Chinese Disease Normalization. CoRR abs/2306.01931 (2023)
Siyan Dong, Shaohui Liu, Hengkai Guo, Baoquan Chen, Marc Pollefeys: Lazy Visual Localization via Motion Averaging. CoRR abs/2307.09981 (2023)
Rémi Pautrat, Shaohui Liu, Petr Hruby, Marc Pollefeys, Daniel Barath: Vanishing Point Estimation in Uncalibrated Images with Prior Gravity Direction. CoRR abs/2308.10694 (2023)
Petr Hruby, Shaohui Liu, Rémi Pautrat, Marc Pollefeys, Daniel Barath: Handbook on Leveraging Lines for Two-View Relative Pose Estimation. CoRR abs/2309.16040 (2023)
Shaohui Liu, Hao Zhu, Vassilis Kekatos: Data-driven Forced Oscillation Localization using Inferred Impulse Responses. CoRR abs/2310.01656 (2023)
Yachun Mi, Yu Li, Yan Shu, Chen Hui, Puchao Zhou, Shaohui Liu: CLiF-VQA: Enhancing Video Quality Assessment by Incorporating High-Level Semantic Information related to Human Feelings. CoRR abs/2311.07090 (2023)
Jianfeng Wang, Ruomei Wang, Shaohui Liu: Learning intents behind interactions with high-order graph for session-based intelligent recommendation. J. Intell. Fuzzy Syst. 42(3): 1679-1691 (2022)
Haiqi Zhu, Shaohui Liu, Feng Jiang: Adversarial training of LSTM-ED based anomaly detection for complex time-series in cyber-physical-social systems. Pattern Recognit. Lett. 164: 132-139 (2022)
Feng Cheng, Zhibo Liang, Gaoliang Peng, Shaohui Liu, Sijue Li, Mengyu Ji: An Anti-UAV Long-Term Tracking Method with Hybrid Attention Mechanism and Hierarchical Discriminator. Sensors 22(10): 3701 (2022)
Zhujun Zhang, Gaoliang Peng, Weitian Wang, Yi Chen, Yunyi Jia, Shaohui Liu: Prediction-Based Human-Robot Collaboration in Assembly Tasks Using a Learning from Demonstration Model. Sensors 22(11): 4279 (2022)
Wuzhen Shi, Shaohui Liu: Hiding Message Using a Cycle Generative Adversarial Network. ACM Trans. Multim. Comput. Commun. Appl. 18(3s): 143:1-143:15 (2022)
Chen Hui, Shaohui Liu, Wuzhen Shi, Feng Jiang, Debin Zhao: Spatio-Temporal Context Based Adaptive Camcorder Recording Watermarking. ACM Trans. Multim. Comput. Commun. Appl. 18(3s): 144:1-144:25 (2022)
Ruicheng Feng, Chongyi Li, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Jun Jiang, Qingyu Yang, Chen Change Loy, Jinwei Gu, Yurui Zhu, Xi Wang, Xueyang Fu, Xiaowei Hu, Jinfan Hu, Xina Liu, Xiangyu Chen, Chao Dong, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Xuhao Jiang, Guangqi Shao, Xiaotao Wang, Lei Lei, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Tao Huang, Zhenxuan Fang, Mengluan Huang, Junwei Xu, Yong Zhang, Yuechi Yang, Qidi Shu, Zhiwen Yang, Shaocong Li, Mingde Yao, Ruikang Xu, Yuanshen Guan, Jie Huang, Zhiwei Xiong, Hangyan Zhu, Ming Liu, Shaohui Liu, Wangmeng Zuo, Zhuang Jia, Binbin Song, Ziqi Song, Guiting Mao, Ben Hou, Zhimou Liu, Yi Ke, Dengpei Ouyang, Dekui Han, Jinghao Zhang, Qi Zhu, Naishan Zheng, Feng Zhao, Wu Jin, Marcos V. Conde, Sabari Nathan, Radu Timofte, Tianyi Xu, Jun Xu, P. S. Hrishikesh, Densen Puthussery, C. V. Jiji, Biao Jiang, Yuhan Ding, WanZhang Li, Xiaoyue Feng, Sijing Chen, Tianheng Zhong, Jiyang Lu, Hongming Chen, Zhentao Fan, Xiang Chen: MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results. ECCV Workshops (5) 2022: 60-77
Wang Zhao, Shaohui Liu, Hengkai Guo, Wenping Wang, Yong-Jin Liu: ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild. ECCV (32) 2022: 523-542
Chen Hui, Feng Jiang, Shaohui Liu, Debin Zhao: Source Camera Identification with Multi-Scale Feature Fusion Network. ICME 2022: 1-6
Chen Hui, Shaohui Liu, Feng Jiang: Multi-Channel Adaptive Partitioning Network for Block-Based Image Compressive Sensing. ICME 2022: 1-6
Mengxuan Shao, Feng Jiang, Shaohui Liu, Kun Han, Debin Zhao: Learning from Hindsight Demonstrations. ICONIP (5) 2022: 480-491
Mengxuan Shao, Feng Jiang, Shaohui Liu, Kun Han, Debin Zhao: Hindsight Balanced Reward Shaping. ICONIP (5) 2022: 492-503
Wenxue Cui, Shaohui Liu, Debin Zhao: Fast Hierarchical Deep Unfolding Network for Image Compressed Sensing. ACM Multimedia 2022: 2739-2748
Wang Zhao, Shaohui Liu, Yi Wei, Hengkai Guo, Yong-Jin Liu: A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo. CoRR abs/2201.07609 (2022)
Shaohui Liu, Chengyang Wu, Hao Zhu: Topology-aware Graph Neural Networks for Learning Feasible and Adaptive ac-OPF Solutions. CoRR abs/2205.10129 (2022)
Wang Zhao, Shaohui Liu, Hengkai Guo, Wenping Wang, Yong-Jin Liu: ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild. CoRR abs/2207.09137 (2022)
Wenxue Cui, Shaohui Liu, Debin Zhao: Fast Hierarchical Deep Unfolding Network for Image Compressed Sensing. CoRR abs/2208.01827 (2022)
Shaohui Liu, Hao Zhu, Vassilis Kekatos: Dynamic Response Recovery Using Ambient Synchrophasor Data: A Synthetic Texas Interconnection Case Study. CoRR abs/2209.11105 (2022)
Young-Ho Cho, Shaohui Liu, Duehee Lee, Hao Zhu: Wind Power Scenario Generation Using Graph Convolutional Generative Adversarial Network. CoRR abs/2212.10454 (2022)
Worku Jifara Sori, Feng Jiang, Arero W. Godana, Shaohui Liu, Gelmecha Demissie Jobir: DFD-Net: lung cancer detection from denoised CT scan image using deep learning. Frontiers Comput. Sci. 15(2): 152701 (2021)
Feng Jiang, Zhiyuan Chen, Amril Nazir, Wuzhen Shi, Wei Xiang Lim, Shaohui Liu, Seungmin Rho: Combining Fields of Experts (FoE) and K-SVD methods in pursuing natural image priors. J. Vis. Commun. Image Represent. 78: 103142 (2021)
Mengyu Ji, Gaoliang Peng, Jun He, Shaohui Liu, Zhao Chen, Sijue Li: A Two-Stage, Intelligent Bearing-Fault-Diagnosis Method Using Order-Tracking and a One-Dimensional Convolutional Neural Network with Variable Speeds. Sensors 21(3): 675 (2021)
Songyuan Fan, Rui Wang, Zhihao Wu, Seungmin Rho, Shaohui Liu, Jiaxin Xiong, Sen Fu, Feng Jiang: High-speed tracking based on multi-CF filters and attention mechanism. Signal Image Video Process. 15(4): 663-671 (2021)
Wuzhen Shi, Shaohui Liu, Feng Jiang, Debin Zhao: Video Compressed Sensing Using a Convolutional Neural Network. IEEE Trans. Circuits Syst. Video Technol. 31(2): 425-438 (2021)
Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, Jie Zhou: NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo. ICCV 2021: 5590-5599
Wang Zhao, Shaohui Liu, Yi Wei, Hengkai Guo, Yong-Jin Liu: A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo. ICCV 2021: 6148-6157
Chen Hui, Shaohui Liu, Wenxue Cui, Jinghua Zeng, Feng Jiang, Debin Zhao: Adaptive Flexible 3D Histogram Watermarking. ICME 2021: 1-6
Zhibo Liang, Shaohui Liu, Wuzhen Shi, Xingtao Wang, Feng Jiang: Small Object Recognition Using a Spatio-Temporal Neural Network. ICME 2021: 1-6
Jianfeng Wang, Xiaochun Cheng, Ruomei Wang, Shaohui Liu: Learning Outfit Compatibility with Graph Attention Network and Visual-Semantic Embedding. ICME 2021: 1-6
Wenxue Cui, Shaohui Liu, Feng Jiang, Yongliang Liu, Debin Zhao: Multi-Stage Residual Hiding for Image-into-Audio Steganography. CoRR abs/2101.01872 (2021)
Shaohui Liu, Hao Zhu, Vassilis Kekatos: A Dynamic Response Recovery Framework Using Ambient Synchrophasor Data. CoRR abs/2104.05614 (2021)
Dongsheng Wang, Chaohao Xie, Shaohui Liu, Zhenxing Niu, Wangmeng Zuo: Image Inpainting with Edge-guided Learnable Bidirectional Attention Maps. CoRR abs/2104.12087 (2021)
Shaohui Liu, Chengyang Wu, Hao Zhu: Graph Neural Networks for Learning Real-Time Prices in Electricity Market. CoRR abs/2106.10529 (2021)
Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, Jie Zhou: NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo. CoRR abs/2109.01129 (2021)
Shanny Lin, Shaohui Liu, Hao Zhu: Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids. CoRR abs/2110.01490 (2021)
Wenxue Cui, Shaohui Liu, Feng Jiang, Debin Zhao: Image Compressed Sensing Using Non-local Neural Network. CoRR abs/2112.03712 (2021)
Xiangling Fu, Tianxiong Ouyang, Zaoli Yang, Shaohui Liu: A product ranking method combining the features-opinion pairs mining and interval-valued Pythagorean fuzzy sets. Appl. Soft Comput. 97(Part B): 106803 (2020)
Xiaowei Wang, Maowei Cheng, Yefu Wang, Shaohui Liu, Zhihong Tian, Feng Jiang, Hongjun Zhang: Obstructive sleep apnea detection using ecg-sensor with convolutional neural networks. Multim. Tools Appl. 79(23-24): 15813-15827 (2020)
Songyuan Fan, Rui Wang, Zhihao Wu, Seungmin Rho, Shaohui Liu, Jiaxin Xiong, Sen Fu, Feng Jiang: Correction to: High-speed tracking based on multi-CF filters and attention mechanism. Signal Image Video Process. 14(3): 637 (2020)
Yang Wang, Xiaopeng Fan, Shaohui Liu, Debin Zhao, Wen Gao: Multi-Scale Convolutional Neural Network-Based Intra Prediction for Video Coding. IEEE Trans. Circuits Syst. Video Technol. 30(7): 1803-1815 (2020)
Wuzhen Shi, Feng Jiang, Shaohui Liu, Debin Zhao: Image Compressed Sensing Using Convolutional Neural Network. IEEE Trans. Image Process. 29: 375-388 (2020)
Donghao Gu, Yaowei Li, Feng Jiang, Zhaojing Wen, Shaohui Liu, Wuzhen Shi, Guangming Lu, Changsheng Zhou: VINet: A Visually Interpretable Image Diagnosis Network. IEEE Trans. Multim. 22(7): 1720-1729 (2020)
Aleksei Grigorev, Shaohui Liu, Zhihong Tian, Jianxin Xiong, Seungmin Rho, Feng Jiang: Delving Deeper in Drone-Based Person Re-Id by Employing Deep Decision Forest and Attributes Fusion. ACM Trans. Multim. Comput. Commun. Appl. 16(1s): 25:1-25:15 (2020)
Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, Zhaopeng Cui: DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing. CVPR 2020: 2016-2025
Wang Zhao, Shaohui Liu, Yezhi Shu, Yong-Jin Liu: Towards Better Generalization: Joint Depth-Pose Learning Without PoseNet. CVPR 2020: 9148-9158
Yaowei Li, Donghao Gu, Zhaojing Wen, Feng Jiang, Shaohui Liu: Classify and Explain: An Interpretable Convolutional Neural Network For Lung Cancer Diagnosis. ICASSP 2020: 1065-1069
Wenxue Cui, Shaohui Liu, Feng Jiang, Yongliang Liu, Debin Zhao: Multi-Stage Residual Hiding for Image-Into-Audio Steganography. ICASSP 2020: 2832-2836
Yutian Lei, Qingyong Deng, Saiqin Long, Shaohui Liu, Sangyoon Oh: An Effective Design to Improve the Efficiency of DPUs on FPGA. ICPADS 2020: 206-213
Wang Zhao, Shaohui Liu, Yezhi Shu, Yong-Jin Liu: Towards Better Generalization: Joint Depth-Pose Learning without PoseNet. CoRR abs/2004.01314 (2020)
Shaohui Liu, Daniel Adrian Maldonado, Emil M. Constantinescu: Probabilistic analysis of masked loads with aggregated photovoltaic production. CoRR abs/2004.10334 (2020)
Adil Khan, Feng Jiang, Shaohui Liu, Ibrahim Omara: Playing a FPS Doom Video Game with Deep Visual Reinforcement Learning. Autom. Control. Comput. Sci. 53(3): 214-222 (2019)
Adil Khan, Feng Jiang, Shaohui Liu, Muhammad Zubair Asghar: Optimal Skipping Rates: Training Agents with Fine-Grained Control Using Deep Reinforcement Learning. J. Robotics 2019: 2970408:1-2970408:10 (2019)
Xiangling Fu, Ji Wu, Jinpeng Chen, Shaohui Liu: Attribute-Sentiment Pair Correlation Model Based on Online User Reviews. J. Sensors 2019: 2456752:1-2456752:11 (2019)
Worku Jifara Sori, Feng Jiang, Shaohui Liu: Multi-path convolutional neural network for lung cancer detection. Multidimens. Syst. Signal Process. 30(4): 1749-1768 (2019)
Worku Jifara Sori, Feng Jiang, Seungmin Rho, Maowei Cheng, Shaohui Liu: Medical image denoising using convolutional neural network: a residual learning approach. J. Supercomput. 75(2): 704-718 (2019)
Yi Wei, Shaohui Liu, Wang Zhao, Jiwen Lu: Conditional Single-View Shape Generation for Multi-View Stereo Reconstruction. CVPR 2019: 9651-9660
Shaohui Liu, Xiao Zhang, Jianqiao Wangni, Jianbo Shi: Normalized Diversification. CVPR 2019: 10306-10315
Wuzhen Shi, Feng Jiang, Shaohui Liu, Debin Zhao: Scalable Convolutional Neural Network for Image Compressed Sensing. CVPR 2019: 12290-12299
Xiaowei Wang, Jiaxin Xiong, Rui Wang, Worku Jifara Sori, Jingtian Wang, Shaohui Liu, Feng Jiang: FS-Net: Medical Image Denoising via Local Receptive Field Smoothing Network. DSC 2019: 70-76
Rui Wang, Donghao Gu, Zhaojing Wen, Kai Yang, Shaohui Liu, Feng Jiang: Intra-class Classification of Architectural Styles Using Visualization of CNN. ICAIS (1) 2019: 205-216
Yonghong Guo, Feng Jiang, Dongyang Zhao, Zhaojing Wen, Shaohui Liu: Local Smoothing Constraint in Convolutional Neural Network for Image Denoising. ICAIS (1) 2019: 402-410
Yibo Sun, Adil Khan, Kai Yang, Feng Jiang, Shaohui Liu: Playing First-Person-Shooter Games with A3C-Anticipator Network Based Agents Using Reinforcement Learning. ICAIS (4) 2019: 463-475
Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo, Xiao Liu, Shilei Wen, Errui Ding: Image Inpainting With Learnable Bidirectional Attention Maps. ICCV 2019: 8857-8866
Ze Yang, Shaohui Liu, Han Hu, Liwei Wang, Stephen Lin: RepPoints: Point Set Representation for Object Detection. ICCV 2019: 9656-9665
Jianyu Wang, Shaohui Liu, Feng Jiang, Xiaoshuai Sun, Yongliang Liu: A Video Post-Filter Deblocking Method Based on Temporal Boosting Residual Networks. ICME 2019: 1174-1179
Donghao Gu, Zhaojing Wen, Wenxue Cui, Rui Wang, Feng Jiang, Shaohui Liu: Continuous Bidirectional Optical Flow for Video Frame Sequence Interpolation. ICME 2019: 1768-1773
Shaohui Liu, Xiao Zhang, Jianqiao Wangni, Jianbo Shi: Normalized Diversification. CoRR abs/1904.03608 (2019)
Yi Wei, Shaohui Liu, Wang Zhao, Jiwen Lu, Jie Zhou: Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction. CoRR abs/1904.06699 (2019)
Ze Yang, Shaohui Liu, Han Hu, Liwei Wang, Stephen Lin: RepPoints: Point Set Representation for Object Detection. CoRR abs/1904.11490 (2019)
Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo, Xiao Liu, Shilei Wen, Errui Ding: Image Inpainting with Learnable Bidirectional Attention Maps. CoRR abs/1909.00968 (2019)
Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, Zhaopeng Cui: DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing. CoRR abs/1911.13225 (2019)
Chuanhao Li, Wei Zhang, Gaoliang Peng, Shaohui Liu: Bearing Fault Diagnosis Using Fully-Connected Winner-Take-All Autoencoder. IEEE Access 6: 6103-6115 (2018)
Shaohui Liu, Seungmin Rho, Worku Jifara Sori, Feng Jiang, Chun Liu: A hybrid framework of data hiding and encryption in H.264/SVC. Discret. Appl. Math. 241: 48-57 (2018)
Congcong Chen, Feng Jiang, Chifu Yang, Seungmin Rho, Weizheng Shen, Shaohui Liu, Zhiguo Liu: Hyperspectral classification based on spectral-spatial convolutional neural networks. Eng. Appl. Artif. Intell. 68: 165-171 (2018)
Wuzhen Shi, Shaohui Liu, Feng Jiang, Debin Zhao, Zhihong Tian: Anchored neighborhood deep network for single-image super-resolution. EURASIP J. Image Video Process. 2018: 34 (2018)
Yuanhang Chen, Gaoliang Peng, Chaohao Xie, Wei Zhang, Chuanhao Li, Shaohui Liu: ACDIN: Bridging the gap between artificial and real bearing damages for bearing fault diagnosis. Neurocomputing 294: 61-71 (2018)
Shaohui Liu, Seungmin Rho, Renjie Wang, Feng Jiang: Feature-preserving mesh denoising based on guided normal filtering. Multim. Tools Appl. 77(17): 23009-23021 (2018)
Feng Jiang, Aleksei Grigorev, Seungmin Rho, Zhihong Tian, Yunsheng Fu, Worku Jifara Sori, Adil Khan, Shaohui Liu: Medical image semantic segmentation based on deep learning. Neural Comput. Appl. 29(5): 1257-1265 (2018)
Moussa Amrani, Feng Jiang, Yunzhong Xu, Shaohui Liu, Shengping Zhang: SAR-Oriented Visual Saliency Model and Directed Acyclic Graph Support Vector Metric Based Target Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(10): 3794-3810 (2018)
Feng Jiang, Wen Tao, Shaohui Liu, Jie Ren, Xun Guo, Debin Zhao: An End-to-End Compression Framework Based on Convolutional Neural Networks. IEEE Trans. Circuits Syst. Video Technol. 28(10): 3007-3018 (2018)
Chenguang Li, Donghao Gu, Xueyan Ma, Kai Yang, Shaohui Liu, Feng Jiang: Video Frame Interpolation Based on Multi-scale Convolutional Network and Adversarial Training. DSC 2018: 553-560
Doaa Khalaf, Ibrahim Omara, Ahmed Hagag, Shaohui Liu: The Effects of JPEG2000 on Ear Recognition System. ICBEA 2018: 65-68
Wuzhen Shi, Feng Jiang, Shaohui Liu, Debin Zhao: Multi-Scale Deep Networks for Image Compressed Sensing. ICIP 2018: 46-50
Wenxue Cui, Shaohui Liu, Shengping Zhang, Yashu Liu, Heyao Xu, Xinwei Gao, Feng Jiang, Debin Zhao: Classification Guided Deep Convolutional Network for Compressed Sensing. ICPR 2018: 2905-2910
Shaohui Liu, Yi Wei, Jiwen Lu, Jie Zhou: An Improved Evaluation Framework for Generative Adversarial Networks. CoRR abs/1803.07474 (2018)
Xiaolei Jiang, Hongxun Yao, Shaohui Liu: How many zero crossings? A method for structure-texture image decomposition. Comput. Graph. 68: 129-141 (2017)
Guilin Yao, Zhijie Zhao, Shaohui Liu: A Comprehensive Survey on Sampling-Based Image Matting. Comput. Graph. Forum 36(8): 613-628 (2017)
Zhiguo Liu, Chifu Yang, Seungmin Rho, Shaohui Liu, Feng Jiang: Structured entropy of primitive: big data-based stereoscopic image quality assessment. IET Image Process. 11(10): 854-860 (2017)
Feng Jiang, Jie Ren, Changhoon Lee, Wuzhen Shi, Shaohui Liu, Debin Zhao: Spatial and temporal pyramid-based real-time gesture recognition. J. Real Time Image Process. 13(3): 599-611 (2017)
Feng Qi, Debin Zhao, Shaohui Liu, Xiaopeng Fan: 3D visual saliency detection model with generated disparity map. Multim. Tools Appl. 76(2): 3087-3103 (2017)
Aleksei Grigorev, Feng Jiang, Seungmin Rho, Worku Jifara Sori, Shaohui Liu, Sergey V. Sai: Depth estimation from single monocular images using deep hybrid network. Multim. Tools Appl. 76(18): 18585-18604 (2017)
Worku Jifara Sori, Feng Jiang, Bing Zhang, Huapeng Wang, Jinsong Li, Aleksei Grigorev, Shaohui Liu: Hyperspectral image compression based on online learning spectral features dictionary. Multim. Tools Appl. 76(23): 25003-25014 (2017)
Maowei Cheng, Worku Jifara Sori, Feng Jiang, Adil Khan, Shaohui Liu: Recurrent Neural Network Based Classification of ECG Signal Features for Obstruction of Sleep Apnea Detection. CSE/EUC (2) 2017: 199-202
Adil Khan, Kai Yang, Yunsheng Fu, Fang Lou, Worku Jifara Sori, Feng Jiang, Shaohui Liu: A Competitive Combat Strategy and Tactics in RTS Games AI and StarCraft. PCM (2) 2017: 3-12
Worku Jifara Sori, Dongyang Zhao, Fang Lou, Yunsheng Fu, Shaohui Liu, Feng Jiang, Adil Khan: Entropy Based Sub-band Deletion for Multispectral Image Compression. PCM (2) 2017: 787-797
Renjie Wang, Wenbo Zhao, Shaohui Liu, Debin Zhao, Chun Liu: Feature-Preserving Mesh Denoising Based on Guided Normal Filtering. PCM (2) 2017: 920-927
Shaohui Liu, Congyi Lyu, Yunhui Liu, Weiguo Zhou, Xin Jiang, Peng Li, Haoyao Chen, Yuanyuan Li: Real-time implementation of harris corner detection system based on FPGA. RCAR 2017: 339-343
Feng Jiang, Wen Tao, Shaohui Liu, Jie Ren, Xun Guo, Debin Zhao: An End-to-End Compression Framework Based on Convolutional Neural Networks. CoRR abs/1708.00838 (2017)
Congrui Hetang, Hongwei Qin, Shaohui Liu, Junjie Yan: Impression Network for Video Object Detection. CoRR abs/1712.05896 (2017)
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