Wanjuan Su
Orcid: 0000-0002-5497-4682
According to our database1,
Wanjuan Su
authored at least 21 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
LGP-MVS: combined local and global planar priors guidance for indoor multi-view stereo.
Vis. Comput., December, 2023
Neural Process. Lett., December, 2023
Remote. Sens., April, 2023
Comput. Vis. Media, February, 2023
PR-NeuS: A Prior-based Residual Learning Paradigm for Fast Multi-view Neural Surface Reconstruction.
CoRR, 2023
CoRR, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Circuits Syst. Video Technol., 2022
Two-Stage Fuzzy Fusion Based-Convolution Neural Network for Dynamic Emotion Recognition.
IEEE Trans. Affect. Comput., 2022
Learning Inverse Depth Regression for Pixelwise Visibility-Aware Multi-View Stereo Networks.
Int. J. Comput. Vis., 2022
2021
Weight-Adapted Convolution Neural Network for Facial Expression Recognition in Human-Robot Interaction.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Adaptive Feature Selection-Based AdaBoost-KNN With Direct Optimization for Dynamic Emotion Recognition in Human-Robot Interaction.
IEEE Trans. Emerg. Top. Comput. Intell., 2021
Semantic Segmentation of 3D Point Cloud Based on Spatial Eight-Quadrant Kernel Convolution.
Remote. Sens., 2021
A population randomization-based multi-objective genetic algorithm for gesture adaptation in human-robot interaction.
Sci. China Inf. Sci., 2021
2020
A Fuzzy Deep Neural Network With Sparse Autoencoder for Emotional Intention Understanding in Human-Robot Interaction.
IEEE Trans. Fuzzy Syst., 2020
Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction.
Inf. Sci., 2020
2018
Softmax regression based deep sparse autoencoder network for facial emotion recognition in human-robot interaction.
Inf. Sci., 2018
2017
Nesterov accelerated gradient descent-based convolution neural network with dropout for facial expression recognition.
Proceedings of the 11th Asian Control Conference, 2017