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Shuaicheng LIU, Ph.D. Professor School of Information and Communication Engineering University of Electronic Science and Technology of China Address: 2006 Xiyuan Ave, Chengdu, Sichuan, China. 611731. [Google Scholar] [DBLP] [CV]
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Short Bio |
Shuaicheng Liu is a Professor at School of Information and Communication Engineering, University of Electronic Science and Technology of China, working on computer vision, computer graphics and computational imaging, with applications in mobile photography and videography. He received his Ph.D degree at Electrical & Computer Engineering, supervised by Prof. Ping Tan in 2014 and received his Master degree at School of Computing,supervised by Prof. Michael S.Brown, in 2010, both from National University of Singapore. He obtained his Bachelor degree in Sichuan University in 2008. He joined the group of Prof. Bing Zeng at UESTC in 2014. During the internship, he was luckily mentored by Dr. Jian Sun, Dr. Lu Yuan at Microsoft Research and Dr. Jue Wang, Dr. Sunghyun Cho at Adobe. |
Teaching |
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Selected Publications | |||
2023 |
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Low-Light Image Enhancement with Wavelet-based Diffusion Models |
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Deep Homography Mixture for Single Image Rolling Shutter Correction |
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Minimum Latency Deep Online Video Stabilization |
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Supervised Homography Learning with Realistic Dataset Generation |
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MEFLUT: Unsupervised 1D Lookup Tables for Multi-exposure Image Fusion |
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Learning Optical Flow from Event Camera with Rendered Dataset |
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SIRA-PCR: Sim-to-Real Adaptation for 3D Point Cloud Registration |
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Parallax-Tolerant Unsupervised Deep Image Stitching |
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Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network |
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Explicit Motion Disentangling for Efficient Optical Flow Estimation |
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GAFlow: Incorporating Gaussian Attention into Optical Flow |
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AccFlow: Backward Accumulation for Long-Range Optical Flow |
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Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching |
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DIPNet: Efficiency Distillation and Iterative Pruning for Image Super-Resolution |
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Semi-supervised Deep Large-baseline Homography Estimation with Progressive Equivalence Constraint |
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Unsupervised Global and Local Homography Estimation with Motion Basis Learning |
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PBR-GAN: Imitating Physically Based Rendering with Generative Adversarial Networks |
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Deep Rotation Correction without Angle Prior |
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Stereo RGB and Deeper LIDAR-Based Network for 3D Object Detection in Autonomous Driving |
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2022 |
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D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution |
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Ghost-free High Dynamic Range Imaging with Context-aware Transformer |
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RealFlow: EM-based Realistic Optical Flow Datasets Generation from Videos |
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MIPI 2022 Challenge on RGBW Sensor Fusion: Dataset and Report |
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BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment |
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Learning Optical Flow with Kernel Patch Attention |
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Unsupervised Homography Estimation with Coplanarity-Aware GAN |
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Learning to Zoom Inside Camera Imaging Pipeline |
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Semi-Supervised Wide-Angle Portraits Correction by Multi-Scale Transformer |
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Deep Rectangling for Image Stitching: A Learning Baseline |
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Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation |
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SceneSqueezer: Learning to Compress Scene for Camera Relocalization |
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Deep Constrained Least Squares for Blind Image Super-Resolution |
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RAGO: Recurrent Graph Optimizer For Multiple Rotation Averaging |
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FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration |
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Learning Optical Flow with Adaptive Graph Reasoning |
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Content-Aware Unsupervised Deep Homography Estimation and Its Extensions |
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UPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging with Unpaired Data |
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2021 |
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Motion Basis Learning for Unsupervised Deep Homography Estimation with Subspace Projection |
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DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization |
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OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration |
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GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning |
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GLM-Net : Global and Local Motion Estimation via Task-Oriented Encoder-Decoder Structure |
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ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging |
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EBSR: Feature Enhanced Burst Super-Resolution with Deformable Alignment |
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Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report |
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UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning |
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NBNet: Noise Basis Learning for Image Denoising with Subspace Projection |
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Holistic 3D Scene Understanding from a Single Image with Implicit Representation |
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Practical Wide-Angle Portraits Correction with Deep Structured Models |
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OIFlow: Occlusion-Inpainting Optical Flow Estimation by Unsupervised Learning |
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Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images |
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SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Features Recombining |
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Semi-supervised Pixel-level Scene Text Segmentation by Mutually Guided Network |
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JigsawGAN: Auxiliary Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks |
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Quadratic Terms based Point-to-Surface 3D Representation for Deep Learning of Point Cloud |
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DeepOIS: Gyroscope-Guided Deep Optical Image Stabilizer Compensation |
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ASFlow: Unsupervised Optical Flow Learning with Adaptive Pyramid Sampling |
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Depth-Aware Multi-Grid Deep Homography Estimation with Contextual Correlation |
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2020 |
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Content-Aware Unsupervised Deep Homography Estimation (Oral presentation) |
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DaST: Data-free Substitute Training for Adversarial Attacks (Oral presentation) |
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Neural Point Cloud Rendering via Multi-Plane Projection |
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Flow-Guided Temporal-Spatial Network for HEVC Compressed Video Quality Enhancement |
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PBR-Net: Imitating Physically Based Rendering using Deep Neural Network Peng Dai, Zhuwen Li, Yinda Zhang, Shuaicheng Liu, Bing Zeng. IEEE Transactions on Image Processing (TIP), vol. 29, pp. 5980-5992, 2020. [PDF] [BibTex] |
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SDP-GAN: Saliency Detail Preservation Generative Adversarial Networks for High Perceptual Quality Style Transfer Ru Li, Chi-Hao Wu, Shuaicheng Liu, Jue Wang, Guangfu Wang, Guanghui Liu, Bing Zeng. IEEE Transactions on Image Processing (TIP), vol. 30, pp. 374-385, 2020. [PDF] [BibTex] |
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Rich Visual Knowledge-based Augmentation Network for Visual Question Answering Liyang Zhang, Shuaicheng Liu, Donghao Liu, Pengpeng Zeng, Xiangpeng Li, Jingkuan Song, Lianli Gao. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 32, no. 10, pp. 4362-4373, 2020 . [PDF] [BibTex] |
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An Efficient and Compact 3D Local Descriptor based on the Weighted Height Image Tiecheng Sun, Guanghui Liu, Shuaicheng Liu, Fanman Meng, Liaoyuan Zeng, Ru Li. Information Sciences (INS), vol. 520, pp. 209-231, 2020. [PDF] [BibTex] |
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OAENet: Oriented Attention Ensemble for Accurate Facial Expression Recognition Zhengning Wang, Fanwei Zeng, Shuaicheng Liu, Bing Zeng. Pattern Recognition (PR), vol. 112, pp. 107694, 2020. [PDF] [Github] [BibTex] |
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Multi-exposure photomontage with hand-held cameras Ru Li, Shuaicheng Liu, Guanghui Liu, Tiecheng Sun, Jishun Guo. Computer Vision and Image Understanding (CVIU), vol. 193, pp. 102929, 2020. [PDF] [BibTex] |
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2019 and before |
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C3AE:Exploring the Limits of Compact Model for Age Estimation |
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DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image |
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View-Consistent MeshFlow for Stereoscopic Video Stabilization Heng Guo, Shuaicheng Liu, Shuyuan Zhu, Heng Tao Shen, Bing Zeng. IEEE Transactions on Computational Imaging (TCI), vol. 4, no. 4, pp. 573-584, 2019. [PDF] [BibTex] |
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A 3D Descriptor based on Local Height Image |
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High-Quality Color Image Compression by Quantization Crossing Color Spaces Shuyuan Zhu, Zhiying He, Chen Chen, Shuaicheng Liu, Jiantao Zhou, Yuanfang Guo, Bing Zeng. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 19, no. 5, pp. 1474-1487, 2018 [PDF] [BibTex] |
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Direct Photometric Alignment by Mesh Deformation |
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Cross-Space Distortion Directed Color Image Compression Shuyuan Zhu, Mingyu Li, Chen Chen, Shuaicheng Liu, Bing Zeng. IEEE Transactions on Multimedia (TMM), vol. 20, no. 3, pp. 525-538, 2017. [PDF] [BibTex] |
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A Hierarchical Approach for Rain or Snow Removing in A Single Color Image Yinglong Wang, Shuaicheng Liu, Chen Chen, Bing Zeng. IEEE Transactions on Image Processing (TIP), vol. 26, no. 8, pp. 3936-3950, 2017. [PDF] [BibTex] |
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CodingFlow:Enable Video Coding for Video Stabilization Shuaicheng Liu, Mingyu Li, Shuyuan Zhu, Bing Zeng. IEEE Transactions on Image Processing (TIP), vol. 26, no. 7, pp. 3291-3302, 2017. [PDF] [BibTex] |
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A Hybrid Approach for Near-Range Video Stabilization Shuaicheng Liu, Binhan Xu, Chuang Deng, Shuyuan Zhu, Bing Zeng, Moncef Gabbouj. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 27, no. 9, pp. 1922-1933, 2017 [PDF] [Figshare] [BibTex] |
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MeshFlow: Minimum Latency Online Video Stabilization |
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Automatic Reflection Removal using Gradient Intensity and Motion Cues |
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Joint Video Stitching and Stabilization from Moving Cameras Heng Guo, Shuaicheng Liu, Tong He, Shuyuan Zhu, Bing Zeng, Moncef Gabbouj. IEEE Transactions on Image Processing (TIP), vol. 25, no. 11, pp. 5491-5503, 2016. [PDF] [Project Page] [Video(96MB)] [BibTex] |
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Seamless Video Stitching from Hand-held Camera Inputs Kaimo Lin, Shuaicheng Liu,Loong-Fah Cheong, Bing Zeng. Computer Graphics Forum. (Proceedings of EuroGraphics). vol. 35, no. 2, pp. 479-487, 2016. [PDF] [Project Page] [Video(113MB)] [BibTex] |
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SteadyFlow: Spatially Smooth Optical Flow for Video Stabilization |
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TrackCam: 3D-aware Tracking Shots from Consumer Video Shuaicheng Liu,Jue Wang, Sunghyun Cho, Ping Tan. ACM Transactions on Graphics (SIGGRAPH asia). 2014 [PDF] [Project Page] [YouTube] [Video(34 MB)] [BibTex] |
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Bundled Camera Paths for Video Stabilization. (Product Transfer: Blink app) Shuaicheng Liu,Lu Yuan,Ping Tan,Jian Sun. ACM Transactions on Graphics (SIGGRAPH). 2013 [PDF] [Project Page] [YouTube] [Video(66 MB)] [Data Page] [BibTex] |
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Video Stabilization with a Depth Camera Shuaicheng Liu,Yinting Wang,Lu Yuan,Jiajun Bu,Ping Tan,Jian Sun. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2012 [PDF] [Project Page] [BibTex] |
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Colorization for Single Image Super Resolution |
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Super Resolution using Edge Prior and Single Image Detail Synthesis Yu-Wing Tai,Shuaicheng Liu,Michael S.Brown,Stephen Lin. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2010 [PDF] [Project Page] [Code] [BibTex] |
Last Update: July, 2023. @2023. All Rights Reserved. |