导师代码： 11983
导师姓名： 刘帅成
性别： 男
特称： 四川省特聘专家

职称： 副教授
学位： 工学博士学位
属性： 专职
电子邮件： liushuaicheng@uestc.edu.cn

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学术经历： 2011年1月-2014年12月，新加坡国立大学，博士；
2008年9月-2010年12月，新加坡国立大学，硕士；
2004年9月-2008年6月，四川大学，学士。

工作经历：
2015年3月至今，电子科技大学副教授；
2014年10月至今，电子科技大学图像处理研究所；
2013年5月-8月，美国西雅图，Adobe创新技术实验室；
2012年2月-5月，微软亚洲研究院计算机视觉组。

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个人简介： 个人主页：http://www.liushuaicheng.org/

研究兴趣包括：图像/视频处理，计算机视觉。成果在一区,二区等著名期刊和国际顶级会议上发表，包括:
ACM Transactions on Graphics (ToG), proceedings of SIGGRAPH,SIGGRAPH Asia;
IEEE Conference Computer Vision and Pattern Recognition (CVPR);
International Conference on Computer Vision(ICCV)
European Conference on Computer Vision (ECCV)
IEEE Transactions on Image Processing (TIP);
IEEE Transactions on Circuits and Systems for Video(CSVT)
IEEE Transactions on Computational Imaging(TCI)
Pattern Recognition (PR)
Eurographics 等。

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科研项目： 《基于视频编码的计算摄像学研究》，国家自然科学基金，面上项目，主持，2019-2022
《视频防抖关键技术研究》，国家自然科学基金，青年项目，主持，2016-2018
《电子内镜和无线胶囊内镜图像处理关键技术研究》，国家自然科学基金，国际(地区)合作与交流项目, 参与，2018-2022
《图像稳像算法技术研究》，华为科技有限公司，主持，2016-2017.
《基于视频编码的计算机视觉关键技术研究》，四川省科技厅，国际合作交流项目，主持，2019-2021

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研究成果： Recent Publications:
Conferences:
[1] N. Ye, C. Wang, H. Fan, S. Liu, "Motion Basis Learning for Unsupervised Deep Homography Estimation with Subspace Projection", International Conference on Computer Vision (ICCV), 2021. (Oral Presentation)
[2] C. Zhang, Y. Zhang, C. Chen, S. Liu, B. Zeng, H. Bao, Z. Cui, "DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization", International Conference on Computer Vision (ICCV), 2021. (Oral Presentation)
[3] H. Xu, S. Liu, G. Wang, G. Liu, B. Zeng, "OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration", International Conference on Computer Vision (ICCV), 2021.
[4] H. Li, K. Luo, S. Liu, "GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning", International Conference on Computer Vision (ICCV), 2021.
[5] Y. Yang, Y. Xiang, S. Liu, L. Wu, B. Zhao, B. Zeng, "GLM-Net : Global and Local Motion Estimation via Task-Oriented Encoder-Decoder Structure", ACM Multimedia (MM), 2021.
[6] Z. Liu, W. Lin, X. Li, Q. Rao, T. Jiang, M. Han, H. Fan, S. Liu, "ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging" , IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), NTIRE Challenges - HDR (Winner) , 2021
[7] Z. Luo, L. Yu, X. Mo, Y. Li, L. Jia, J. Sun, S Liu,"EBSR: Feature Enhanced Burst Super-Resolution with Deformable Alignment", IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), NTIRE Challenges - SR (Winner), 2021
[8] K. Luo, C. Wang, S. Liu, H. Fan, J. Wang, J. Sun, "UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[9] S. Cheng, Y. Wang, H. Huang, D. Liu, H. Fan, S. Liu,"NBNet: Noise Basis Learning for Image Denoising with Subspace Projection", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[10] C. Zhang, Z. Cui, Y. Zhang, B. Zeng, M. Pollefeys, S. Liu,"Holistic 3D Scene Understanding from a Single Image with Implicit Representation ", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[11] J. Tan, S. Zhao, P. Xiong, J. Liu, H. Fan, S. Liu,"Practical Wide-Angle Portraits Correction with Deep Structured Models", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[12] J. Zhang, C. Wang, S. Liu, L. Jia, J. Wang, J. Zhou, J. Sun,"Content-Aware Unsupervised Deep Homography Estimation", European Conference on Computer Vision (ECCV). 2020 (Oral Presentation)
[13] M. Zhou, J. Wu, Y. Liu, S. Liu, C. Zhu, "DaST: Data-free Substitute Training for Adversarial Attacks", IEEE Conference on Computer Vision and Pattern Recognition (CVPR)，2020. (Oral Presentation)
[14] P. Dai, Y. Zhang, Z. Li, S. Liu, B. Zeng, "Neural Point Cloud Rendering via Multi-Plane Projection", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[15] C. Zhang, S. Liu, X. Xu, C. Zhu, "C3AE:Exploring the Limits of Compact Model for Age Estimation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
[16] J. Qiu, Z. Cui, Y. Zhang, X. Zhang, S. Liu, B. Zeng, M. Pollefeys, "DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

Journal:
[1] S. Liu, K. Luo, N. Ye, C. Wang, J. Wang, B. Zeng, "OIFlow: Occlusion-Inpainting Optical Flow Estimation by Unsupervised Learning", IEEE Transactions on Image Processing (TIP), vol. 30, pp. 6420-6433, 2021.
[2] L. Nie, C. Lin, K. Liao, S. Liu, Y. Zhao, "Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images", IEEE Transactions on Image Processing (TIP), vol. 30, pp. 6184-6197, 2021.
[3] J. Qiu, C. Chen, S. Liu, H. Zhang, B. Zeng, "SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Features Recombining", IEEE Transactions on Image Processing (TIP), vol. 30, pp. 6434-6445, 2021.
[4] C. Wang, S. Zhao, L. Zhu, K. Luo, Y. Guo, J. Wang, S. Liu, "Semi-supervised Pixel-level Scene Text Segmentation by Mutually Guided Network", IEEE Transactions on Image Processing (TIP), 2021.
[5] T. Sun, G. Liu, R. Li, S. Liu, S. Zhu, B. Zeng, "Quadratic Terms based Point-to-Surface 3D Representation for Deep Learning of Point Cloud", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.
[6] S. Liu, H. Li, Z. Wang, J. Wang, S. Zhu, B. Zeng, "DeepOIS: Gyroscope-Guided Deep Optical Image Stabilizer Compensation", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.
[7] P. Dai, Z. Li, Y. Zhang, S. Liu, B. Zeng, "PBR-Net: Imitating Physically Based Rendering using Deep Neural Network", IEEE Transactions on Image Processing (TIP), vol. 29, pp. 5980-5992, 2020.
[8] R. Li, C. Wu, S. Liu, J. Wang, G. Wang, G. Liu, B. Zeng, "SDP-GAN: Saliency Detail Preservation Generative Adversarial Networks for High Perceptual Quality Style Transfer", IEEE Transactions on Image Processing (TIP), vol. 30, pp. 374-385, 2020.
[9] L. Zhang, S. Liu, D. Liu, P. Zeng, X. Li, J. Song, L. Gao, "Rich Visual Knowledge-based Augmentation Network for Visual Question Answering", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020
[10] Z. Wang, F. Zeng, S. Liu, B. Zeng, "OAENet: Oriented Attention Ensemble for Accurate Facial Expression Recognition", Pattern Recognition (PR), vol. 112, pp. 107694, 2020.
[11] R. Li, S. Liu, G. Liu, T. Sun, J. Guo, "Multi-exposure photomontage with hand-held cameras", Computer Vision and Image Understanding (CVIU), vol. 193, pp. 102929, 2020.
[12] H. Guo, S. Liu, S. Zhu, H. Shen, B. Zeng, "View-Consistent MeshFlow for Stereoscopic Video Stabilization", IEEE Transactions on Computational Imaging (TCI), vol. 4, no. 4, pp. 573-584, 2019.

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专业研究方向： 专业名称 研究方向 招生类别
081000信息与通信工程 06图像与视频处理 硕士
081000信息与通信工程 09机器学习与人工智能 硕士
081000信息与通信工程 10信号与信息智能处理 硕士

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