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Shuai GuoShanghai Jiao Tong University E-mail: shuaiguo@sjtu.edu.cn Tel: +86-17625973602 Research Interests: AIGC, 3D Computer Vision, 3D GS, NeRF, Point Cloud, FVV, DIBR.
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Researches
Guo S, Wang Q, Gao Y, et al. Depth-Guided Robust Point Cloud Fusion NeRF for Sparse Input Views [J]. IEEE Transactions on Circuits and Systems for Video Technology. [中科院Q1, CCF-B, IF=8.4]
Guo S, Zhong H, Wang Q, et al. A New People-Object Interaction Dataset and NVS Benchmarks. IEEE International Conference on Image Processing. 2024. Accepted. [CCF-C]
Guo S, Wang Q, Gao Y, et al. Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2024, 38(3): 1976-1984. [CCF-A]
Guo S, Hu J, Zhou K, et al. Real-Time Free Viewpoint Video Synthesis System Based on DIBR and A Depth Estimation Network[J]. IEEE Transactions on Multimedia. 26, 6701-6716, 2024. [中科院Q1, CCF-B, IF=7.3]
Wang Q, Guo S, Wu H, et al. NeRF-SDP: Efficient Generalizable Neural Radiance Field with Scene Depth Perception[C]//Proceedings of the 5th ACM International Conference on Multimedia in Asia. 2023: 1-7. [CCF-C]
Wang J, Guo S, Wang Q, et al. Efficient Human Rendering with Geometric and Semantic Priors[C]//2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). IEEE, 2023: 1-6.
Zhu F, Guo S, Song L, et al. Deep Review and Analysis of Recent NeRFs[J]. APSIPA Transactions on Signal and Information Processing. 2023, 12(1).
Guo S, Song L, Xie R, et al. Multiview nonlinear discriminant structure learning for emotion recognition[J]. Knowledge-Based Systems. 2022, 258: 110042. [中科院Q1, CCF-C, IF=8.8]
Zhou K, Guo S, Hu J, et al. RGBD-based Real-time Volumetric Reconstruction System: Architecture Design and Implementation[C]//2022 IEEE International Conference on Visual Communications and Image Processing (VCIP). IEEE, 2022: 1-5. [CCF-C]
Hu J, Guo S, Dong Y, et al. A Multi-User Oriented Live Free-Viewpoint Video Streaming System Based on View Interpolation[C]//2022 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2022: 1-6. [CCF-B]
Guo S, Zhou K, Hu J, et al. A new free viewpoint video dataset and DIBR benchmark[C]//Proceedings of the 13th ACM Multimedia Systems Conference. 2022: 265-271.
宋利,郭帅,王秋文等.元宇宙视角下的沉浸式灵境媒体服务演进[J].人工智能,2022,(05):51-60.
Zhou K, Song L, Hu J, Guo S, et al. Real-time 3d reconstruction of dynamic scenes with multiple kinect v2 sensors[C]//International Broadcast Convention. 2021.
Liu C, Feng L, Guo S, et al. An incrementally cascaded broad learning framework to facial landmark tracking[J]. Neurocomputing. 2020, 410: 125-137. [中科院Q2, CCF-C, IF=6.0]
Zhang M, Yu L, Zhang K, ..., Guo S, et al. Kinematic dataset of actors expressing emotions[J]. Scientific data, 2020. 7(1): 292. [中科院Q2, IF=9.8]
Liu S, Guo S, Wang W, et al. Multi-view laplacian eigenmaps based on bag-of-neighbors for RGB-D human emotion recognition[J]. Information Sciences. 2020, 509: 243-256. [中科院Q1, CCF-B, IF=8.1]
Guo S, Feng L, Feng Z B, et al. Multi-view laplacian least squares for human emotion recognition[J]. Neurocomputing. 2019, 370: 78-87. [中科院Q2, CCF-C, IF=6.0]
Liu S, Jiang D, ..., Guo S, et al. Color Recognition for Rubik's Cube Robot[J]. arXiv preprint, arXiv:1901.03470, 2019.
Guo S, Zhong H, Wang Q, et al. A New People-Object Interaction Dataset and NVS Benchmarks. IEEE International Conference on Image Processing. 2024. Accepted. [CCF-C]
Guo S, Wang Q, Gao Y, et al. Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2024, 38(3): 1976-1984. [CCF-A]
Wang Q, Guo S, Wu H, et al. NeRF-SDP: Efficient Generalizable Neural Radiance Field with Scene Depth Perception[C]//Proceedings of the 5th ACM International Conference on Multimedia in Asia. 2023: 1-7. [CCF-C]
Wang J, Guo S, Wang Q, et al. Efficient Human Rendering with Geometric and Semantic Priors[C]//2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). IEEE, 2023: 1-6.
Zhou K, Guo S, Hu J, et al. RGBD-based Real-time Volumetric Reconstruction System: Architecture Design and Implementation[C]//2022 IEEE International Conference on Visual Communications and Image Processing (VCIP). IEEE, 2022: 1-5. [CCF-C]
Hu J, Guo S, Dong Y, et al. A Multi-User Oriented Live Free-Viewpoint Video Streaming System Based on View Interpolation[C]//2022 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2022: 1-6. [CCF-B]
Guo S, Zhou K, Hu J, et al. A new free viewpoint video dataset and DIBR benchmark[C]//Proceedings of the 13th ACM Multimedia Systems Conference. 2022: 265-271.
Zhou K, Song L, Hu J, Guo S, et al. Real-time 3d reconstruction of dynamic scenes with multiple kinect v2 sensors[C]//International Broadcast Convention. 2021.
Liu S, Jiang D, ..., Guo S, et al. Color Recognition for Rubik's Cube Robot[J]. arXiv preprint, arXiv:1901.03470, 2019.
Guo S, Wang Q, Gao Y, et al. Depth-Guided Robust Point Cloud Fusion NeRF for Sparse Input Views [J]. IEEE Transactions on Circuits and Systems for Video Technology. [中科院Q1, CCF-B, IF=8.4]
Guo S, Hu J, Zhou K, et al. Real-Time Free Viewpoint Video Synthesis System Based on DIBR and A Depth Estimation Network[J]. IEEE Transactions on Multimedia. 26, 6701-6716, 2024. [中科院Q1, CCF-B, IF=7.3]
Zhu F, Guo S, Song L, et al. Deep Review and Analysis of Recent NeRFs[J]. APSIPA Transactions on Signal and Information Processing. 2023, 12(1).
Guo S, Song L, Xie R, et al. Multiview nonlinear discriminant structure learning for emotion recognition[J]. Knowledge-Based Systems. 2022, 258: 110042. [中科院Q1, CCF-C, IF=8.8]
宋利,郭帅,王秋文等.元宇宙视角下的沉浸式灵境媒体服务演进[J].人工智能,2022,(05):51-60.
Liu C, Feng L, Guo S, et al. An incrementally cascaded broad learning framework to facial landmark tracking[J]. Neurocomputing. 2020, 410: 125-137. [中科院Q2, CCF-C, IF=6.0]
Zhang M, Yu L, Zhang K, ..., Guo S, et al. Kinematic dataset of actors expressing emotions[J]. Scientific data, 2020. 7(1): 292. [中科院Q2, IF=9.8]
Liu S, Guo S, Wang W, et al. Multi-view laplacian eigenmaps based on bag-of-neighbors for RGB-D human emotion recognition[J]. Information Sciences. 2020, 509: 243-256. [中科院Q1, CCF-B, IF=8.1]
Guo S, Feng L, Feng Z B, et al. Multi-view laplacian least squares for human emotion recognition[J]. Neurocomputing. 2019, 370: 78-87. [中科院Q2, CCF-C, IF=6.0]