导师个人信息 - 电子科大研招网

信息与通信工程学院

导师代码：	11983
导师姓名：	刘帅成
性别：	男
特称：	国家级青年人才
职称：	教授
学位：	工学博士学位
属性：	专职
电子邮件：	liushuaicheng@uestc.edu.cn

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：
2023年5月-至今，电子科技大学, 信息与通信工程学院，教授；
2018年1月-2023年5月，电子科技大学, 信息与通信工程学院，副教授；
2015年3月-2017年12月，电子科技大学, 电子工程学院，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。

个人简介：

教授，博士生导师，国家级青年人才，四川省特聘专家，入选斯坦福全球前2%科学家榜单，长期从事计算机底层视觉(Low-level vision)，计算摄影学（Computational photography）方面研究，发表顶会（CVPR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH, SIGGRAPH Asia）50多篇，期刊（TPAMI, IJCV, TOG, TNNLS, TIP, TCSVT, TMM）30多篇，共被引7000余次（google scholar, 截止2025年1月），获4项国际竞赛冠军。研究成果应用于手机超画质，涵盖“华为、小米、Oppo、Vivo”等多个主流品牌。

科研项目：

研究成果：

Recent Publications(2022~):
Conferences:
[1] K. Du, H. Xu, H. Li, H. Qu, C.-W. Fu, S. Liu, “HybridReg: Robust 3D Point Cloud Registration with Hybrid Motions”, Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2025.
[2] Z. Yang, H. Li, M. Hong, C.-L. Zhang, J. Li, S. Liu, “Single Image Rolling Shutter Removal with Diffusion Models”, Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2025.
[3] Y. Ren, H. Jiang, M. Yang, W. Li, S. Liu,“ISPDiffuser: Learning RAW-to-sRGB Mappings with Texture-Aware Diffusion Models and Histogram-Guided Color Consistency”, Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2025.
[4] Q. Wu, M. Han, T. Jiang, C. Jiang, J. Luo, M. Jiang, H. Fan, S. Liu,“Realistic Noise Synthesis with Diffusion Models”, Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2025.
[5] J. Luo, R. Li, C. Jiang, X. Zhang, M. Han, T. Jiang, H. Fan, S. Liu,“Diff-Shadow: Global-guided Diffusion Model for Shadow Removal”, Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2025.
[6] Q. Zhang, Z. Liu, H. Fan, G. Liu, B. Zeng, S. Liu,“FlowPolicy: Enabling Fast and Robust 3D Flow-based Policy via Consistency Flow Matching for Robot Manipulation”, Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2025.
[7] M. Hong, S. Cheng, H. Huang, H. Fan, S. Liu，“You Only Look Around: Learning Illumination-Invariant Feature for Low-light Object Detection”, Conference on Neural Information Processing Systems (NeurIPS), 2024.
[8] X. Zhao, L. Li, C. Xie, X. Zhan g, T. Jiang, W. Lin, S. Liu, T. Li, "Efficient Single Image Super-Resolution with Entropy Attention and Receptive Field Augmentation", ACM Conference on Multimedia (MM), 2024.
[9] S. Yang, S. Cheng, M. Hong, H. Fan, X. Wei, S. Liu, "Neural Spectral Decomposition for Dataset Distillation", European Conference on Computer Vision (ECCV), 2024.
[10] L. Nie, C. Lin, K. Liao, Y. Zhang, S. Liu, R. Ai, Y. Zhao, "Eliminating Warping Shakes for Unsupervised Online Video Stitching", European Conference on Computer Vision (ECCV), 2024.
[11] H. Jiang, A. Luo, X. Liu, S. Han, S. Liu, "LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models", European Conference on Computer Vision (ECCV), 2024.
[12] H. Zhou, W. Dong, X. Liu, S. Liu, X. Min, G. Zhai, J. Chen, "GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval", European Conference on Computer Vision (ECCV), 2024.
[13] S. Chen, H. Xu, H. Li, K. Luo, G. Liu, C. Fu, P. Tan, S. Liu, "PointGPT: Boosting 3D Point Cloud Registration using Generative Point-Cloud Pairs for Training", European Conference on Computer Vision (ECCV), 2024.
[14] A. Luo, X. Li, F. Yang, J. Liu, H. Fan, S. Liu, "FlowDiffuser: Advancing Optical Flow Estimation with Diffusion Models", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (Hightlight)
[15] X. Luo, A. Luo, Z. Wang, C. Lin, B. Zeng, S. Liu, "Efficient Meshflow and Optical Flow Estimation from Event Cameras", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[16] T. Zhou, H. Li, Z. Wang, A. Luo, C. Zhang, J. Li, B. Zeng, S. Liu, "Rectangling for Image Stitching with Diffusion Models", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[17] H. Xu, H. Li, Y. Wang, S. Liu, C.-W. Fu, "HandBooster: Boosting 3D Hand-Mesh Reconstruction by Conditional Synthesis and Sampling of Hand-Object Interactions", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[18] H. Jiang, A. Luo, H. Fan, S. Han, S. Liu, "Low-Light Image Enhancement with Wavelet-based Diffusion Models"，ACM Transactions on Graphics, in Proc. SIGGRAPH Asia, 2023
[19] W. Yan, R. Tan, B. Zeng, S. Liu, "Deep Homography Mixture for Single Image Rolling Shutter Correction", International Conference on Computer Vision (ICCV), 2023
[20] Z. Zhang, Z. Liu, P. Tan, B. Zeng, S. Liu, "Minimum Latency Deep Online Video Stabilization", International Conference on Computer Vision (ICCV), 2023
[21] H. Jiang, H. Li, S. Han, H. Fan, B. Zeng, S. Liu, "RealHomo: Supervised Homography Learning with Realistic Dataset Generation", International Conference on Computer Vision (ICCV), 2023
[22] T. Jiang, C. Wang, X. Li, R. Li, H. Fan, S. Liu, "MEFLUT: Unsupervised 1D Lookup Tables for Multi-exposure Image Fusion", International Conference on Computer Vision (ICCV), 2023
[23] X. Luo, K. Luo, A. Luo, Z. Wang, P. Tan, S. Liu, "Learning Optical Flow from Event Camera with Rendered Dataset", International Conference on Computer Vision (ICCV), 2023
[24] S. Chen, H. Xu, R. Li, G. Liu, C. Fu, S. Liu, "SIRA-PCR: Sim-to-Real Adaptation for 3D Point Cloud Registration", International Conference on Computer Vision (ICCV), 2023
[25] L. Nie，C. Lin，K. Liao，S. Liu，Y. Zhao “Parallax-Tolerant Unsupervised Deep Image Stitching”, International Conference on Computer Vision (ICCV), 2023
[26] Y. Wang，Z. Liu，J. Liu，S. Xu，S. Liu,“Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network”, International Conference on Computer Vision (ICCV), 2023
[27] C. Deng，A. Luo，H. Huang，S. Ma，J. Liu，S. Liu，“Explicit Motion Disentangling for Efficient Optical Flow Estimation”, International Conference on Computer Vision (ICCV), 2023
[28] A. Luo, F. Yang, X. Li, L. Nie, C. Lin, H. Fan, S. Liu, GAFlow: Incorporating Gaussian Attention into Optical Flow, International Conference on Computer Vision (ICCV), 2023
[29] G. Wu，W. Wang，K. Luo，X. Liu，Q. Zheng，S. Liu，X. Jiang，G. Zhai，X. Liu，"AccFlow: Backward Accumulation for Long-Range Optical Flow", International Conference on Computer Vision (ICCV), 2023
[30] J. Jing, J. Li, P. Xiong, J. Liu, S. Liu, Y. Guo, X. Deng, M. Xu, L. Jiang, L. Sigal, "Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching", International Conference on Computer Vision (ICCV), 2023
[31] L. Yu, X. Li, Y. Li, T. Jiang, Q. Wu, H. Fan, S. Liu, "DIPNet: Efficiency Distillation and Iterative Pruning for Image Super-Resolution", IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), NTIRE Challenges - Efficient SR (Winner) , 2023
[32] H. Jiang, H. Li, Y. Lu, S. Han, S. Liu, "Semi-supervised Deep Large-baseline Homography Estimation with Progressive Equivalence Constraint", Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023.
[33] Y. Li, H. Huang, L. Jia, H. Fan, S. Liu, "D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution", European Conference on Computer Vision (ECCV). 2022.
[34] Z. Liu, Y. Wang, B. Zeng, S. Liu, "Ghost-free High Dynamic Range Imaging with Context-aware Transformer", European Conference on Computer Vision (ECCV). 2022.
[35] Y. Han, K. Luo, A. Luo, J. Liu, H. Fan, G. Luo, S. Liu, "RealFlow: EM-based Realistic Optical Flow Datasets Generation from Videos", European Conference on Computer Vision (ECCV). 2022. (Oral Presentation)
[36] Z. Luo, Y. Li, S. Cheng, L. Yu, Z. Wen, H. Fan, J. Sun, S. Liu, "BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment", IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), NTIRE Challenges - SR (Winner) , 2022
[37] A. Luo, F. Yang, X. Li, S. Liu, "Learning Optical Flow with Kernel Patch Attention", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[38] M. Hong, Y. Lu, N. Ye, C. Lin, Q. Zhao, S. Liu, "Unsupervised Homography Estimation with Coplanarity-Aware GAN", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[39] C. Tang, Y. Yang, B. Zeng, P. Tan, S. Liu, "Learning to Zoom Inside Camera Imaging Pipeline", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[40] F. Zhu, S. Zhao, P. Wang, H. Wang, H. Yan, S. Liu, "Semi-Supervised Wide-Angle Portraits Correction by Multi-Scale Transformer", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[41] L. Nie, C. Lin, K. Liao, S. Liu, Y. Zhao, "Deep Rectangling for Image Stitching: A Learning Baseline", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (Oral Presentation)
[42] H. Li, Z. Cui, S. Liu, P. Tan, "RAGO: Recurrent Graph Optimizer For Multiple Rotation Averaging", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[43] Z. Luo, H. Huang, L. Yu, Y. Li, H. Fan, S. Liu, "Deep Constrained Least Squares for Blind Image Super-Resolution", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[44] L. Yang, R. Shrestha, W. Li, S. Liu, G. Zhang, Z. Cui, P. Tan,"SceneSqueezer: Learning to Compress Scene for Camera Relocalization", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (Oral Presentation)
[45] J. Li, P. Wang, T. Cai, Z. Yan, P. Xiong, J. Liu, L. Yang, H. Fan, S. Liu, "Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (Oral Presentation)
[46] H. Xu, N. Ye, G. Liu, B. Zeng, S. Liu, "FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration", Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022.
[47] A. Luo, F. Fang, K. Luo, X. Li, H. Fan, S. Liu, "Learning Optical Flow with Adaptive Graph Reasoning", Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022.

Journal:
[1] S. Liu, M. Hong, Y. Lu, N. Ye, C. Lin, B. Zeng, “Unsupervised Global and Local Homography Estimation with Coplanarity-Aware GAN”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
[2] S. Liu, Z. Zhang, Z. Liu, P. Tan, B. Zeng,“Minimum Latency Deep Online Video Stabilization and Its Extensions”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
[3] L. Nie, C. Lin, K. Liao, S. Liu, Y. Zhao, "Semi-Supervised Coupled Thin-Plate Spline Model for Rotation Correction and Beyond", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
[4] H. Li, H. Jiang, A. Luo, P. Tan, H. Fan, B. Zeng, S. Liu, "DMHomo: Learning Homography with Diffusion Models", ACM Transactions on Graphics (present at SIGGRAPH), 2024.
[5] H. Li, K. Luo, B. Zeng, S. Liu, "GyroFlow+: Gyroscope-Guided Unsupervised Deep Homography and Optical Flow Learning", International Journal of Computer Vision (IJCV), 2024.
[6] Zhengning Wang, Xuhang Liu, Chuan Wang, Ting Jiang, Tianjiao Zeng, Zhenni Zeng, Guoqing Wang, Shuaicheng Liu, "Reconstruction flow recurrent network for compressed video quality enhancement", Pattern Recognition (PR), vol. 155, pp. 110638, 2024
[7] H. Li, D. Liu, Y. Zeng, S. Liu, T. Gan, N. Rao, J. Yang, B. Zeng, "Single-Image-Based Deep Learning for Segmentation of Early Esophageal Cancer Lesions", IEEE Transactions on Image Processing (TIP), 2024.
[8] R. Li, P. Dai, G. Liu, S. Zhang, B. Zeng, S. Liu, "PBR-GAN: Imitating Physically Based Rendering with Generative Adversarial Networks", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 34, no. 3, pp. 1827-1840, 2024.
[9] Y. Liu, H. Li, S. Liu, B. Zeng, "CodingHomo: Bootstrapping Deep Homography with Video Coding", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024
[10] S. Liu, Y. Lu, H. Jiang, N. Ye, C. Wang, B. Zeng, "Unsupervised Global and Local Homography Estimation with Motion Basis Learning", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 6, pp. 7885-7899, 2023.
[11] S. Liu, N. Ye, C. Wang, J. Zhang, L. Jia, K. Luo, J. Wang, J. Sun,"Content-Aware Unsupervised Deep Homography Estimation and Its Extensions", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 3, pp. 2849-2863, 2023.
[12] Q. He, Z. Wang, H. Zeng, Y. Zeng, Y. Liu, S. Liu, B. Zeng, “Stereo RGB and Deeper LIDAR-Based Network for 3D Object Detection in Autonomous Driving”, IEEE Transactions on Intelligent Transportation System (TITS), vol. 24, no. 1, pp. 152-162, 2023.
[13] L. Nie, C. Lin, K. Liao, S. Liu, Y. Zhao, “Deep Rotation Correction without Angle Prior”, IEEE Transactions on Image Processing (TIP), vol. 32, pp. 2879-2888, 2023.
[14] R. Li, C. Wang, J. Wang, G. Liu, H. Zhang, B. Zeng, S. Liu, "UPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging with Unpaired Data", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 32, no. 11, pp. 7532-7456, 2022.

专业研究方向：

专业名称	研究领域/方向	招生类别
081000信息与通信工程	06图像与视频处理，09机器学习与人工智能，10信号与信息智能处理	博士学术学位
085400电子信息	01不区分研究方向，02不区分研究方向（非全）	博士专业学位
081000信息与通信工程	06图像与视频处理，09机器学习与人工智能，10信号与信息智能处理	硕士学术学位