Penghui Sun

According to our database1, Penghui Sun authored at least 14 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
PaReNeRF: Toward Fast Large-Scale Dynamic NeRF with Patch-Based Reference.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
ConvLSTM coordinated longitudinal transformer under spatio-temporal features for tumor growth prediction.
Comput. Biol. Medicine, September, 2023

CNN-LSTM Neural Network for Identification of Pre-Cooked Pasta Products in Different Physical States Using Infrared Spectroscopy.
Sensors, 2023

Non-Destructive Identification of Grape Species Based on Near-Infrared Spectroscopy and TLNET Network.
Proceedings of the 5th International Conference on Robotics, 2023

2021
Simulation and Optimization of SNAP-Taper Coupling System in Displacement Sensing.
Sensors, 2021

2020
Similarity-Aware and Variational Deep Adversarial Learning for Robust Facial Age Estimation.
IEEE Trans. Multim., 2020

Attention-guided Multi-view Stereo Network For Depth Estimation.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

2019
A Retrieval System of Medicine Molecules Based on Graph Similarity.
IEEE Multim., 2019

Graph Attribute Aggregation Network with Progressive Margin Folding.
CoRR, 2019

Similarity-Aware Deep Adversarial Learning for Facial Age Estimation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018
PharmKi: A Retrieval System of Chemical Structural Formula Based on Graph Similarity.
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

A Free-Sketch Recognition Method for Chemical Structural Formula.
Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 2018

Understanding Markush Structures in Chemistry Documents With Deep Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
A review of moving object trajectory clustering algorithms.
Artif. Intell. Rev., 2017


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