Obserwuj
Siheng Chen
Tytuł
Cytowane przez
Cytowane przez
Rok
Actional-structural graph convolutional networks for 3D skeleton-based action recognition
M Li, S Chen, X Chen, Y Zhang, Y Wang, Q Tian
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
13542019
Discrete signal processing on graphs: Sampling theory
S Chen, R Varma, A Sandryhaila, J Kovacevic
IEEE Transactions on Signal Processing 63 (24), 6510-6523, 2015
7712015
Dynamic multiscale graph neural networks for 3D skeleton-based human motion prediction
M Li, S Chen, Y Zhao, Y Zhang, Y Wang, Q Tian
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) oral, 2020
3992020
Signal recovery on graphs: Variation minimization
S Chen, A Sandryhaila, JMF Moura, J Kovačević
IEEE Transactions on Signal Processing 63 (17), 4609-4624, 2015
3252015
V2X-Sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving
Y Li, D Ma, Z An, Z Wang, Y Zhong, S Chen, C Feng
IEEE Robotics and Automation Letters, 2022
269*2022
Fast resampling of 3D point clouds via graphs
S Chen, D Tian, C Feng, A Vetro, J Kovačević
IEEE Transactions on Signal Processing 66 (3), 666-681, 2018
262*2018
Symbiotic graph neural networks for 3D skeleton-based human action recognition and motion prediction
M Li, S Chen, X Chen, Y Zhang, Y Wang, Q Tian
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
2562021
Where2comm: Communication-efficient collaborative perception via spatial confidence maps
Y Hu, S Fang, Z Lei, Y Zhong, S Chen
Neural Information Processing Systems (NeurIPS) Spotlight, 2022
2502022
Learning distilled collaboration graph for multi-agent perception
Y Li, S Ren, P Wu, S Chen, C Feng, W Zhang
Neural Information Processing Systems (NeurIPS), 2021
2482021
3D point cloud processing and learning for autonomous driving: Impacting map creation, localization, and perception
S Chen, B Liu, C Feng, C Vallespi-Gonzalez, C Wellington
IEEE Signal Processing Magazine 38 (1), 68-86, 2021
2322021
MotionNet: Joint perception and motion prediction for autonomous driving based on bird's eye view maps
P Wu, S Chen, D Metaxas
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
1972020
Signal denoising on graphs via graph filtering
S Chen, A Sandryhaila, JMF Moura, J Kovacevic
IEEE GlobalSIP, 2014
1972014
Semi-supervised multiresolution classification using adaptive graph filtering with application to indirect bridge structural health monitoring
S Chen, F Cerda, P Rizzo, J Bielak, J Garrett, J Kovacevic
IEEE Transactions on Signal Processing 62 (11), 2879 - 2893, 2014
1592014
GroupNet: Multiscale hypergraph neural networks for trajectory prediction with relational reasoning
C Xu, M Li, Z Ni, Y Zhang, S Chen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
1542022
Signal recovery on graphs: Fundamental limits of sampling strategies
S Chen, R Varma, A Singh, J Kovačević
IEEE Transactions on Signal and Information Processing over Networks, 2015
1452015
Remember intentions: Retrospective-memory-based trajectory prediction
C Xu, W Mao, W Zhang, S Chen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
1392022
Leapfrog diffusion model for stochastic trajectory prediction
W Mao, C Xu, Q Zhu, S Chen, Y Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
1312023
Multivariate time series forecasting with dynamic graph neural ODEs
M Jin, Y Zheng, YF Li, S Chen, B Yang, S Pan
IEEE Transactions on Knowledge and Data Engineering, 2022
1292022
Cell clustering for spatial transcriptomics data with graph neural networks
J Li, S Chen, X Pan, Y Yuan, HB Shen
Nature Computational Science 2 (6), 399-408, 2022
1262022
Diagnosis algorithms for indirect structural health monitoring of a bridge model via dimensionality reduction
J Liu, S Chen, M Bergés, J Bielak, JH Garrett, J Kovačević, HY Noh
Mechanical Systems and Signal Processing 136, 106454, 2020
1232020
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