Zhengbo Luo

According to our database1, Zhengbo Luo authored at least 15 papers between 2020 and 2023.

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

Timeline

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Links

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Bibliography

2023
Decoupled spatiotemporal adaptive fusion network for self-supervised motion estimation.
Neurocomputing, 2023

Unsupervised Learning Optical Flow in Multi-frame Dynamic Environment Using Temporal Dynamic Modeling.
CoRR, 2023

2022
Multiscanning Strategy-Based Recurrent Neural Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Constructing infinite deep neural networks with flexible expressiveness while training.
Neurocomputing, 2022

Monocular Fisheye Depth Estimation for Automated Valet Parking: Dataset, Baseline and Deep Optimizers.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Hierarchical Unified Spectral-Spatial Aggregated Transformer for Hyperspectral Image Classification.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Rethinking Unified Spectral-Spatial-Based Hyperspectral Image Classification Under 3D Configuration of Vision Transformer.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Deep Residual Networks with Common Linear Multi-Step and Advanced Numerical Schemes.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Polynomial approximation based spectral dual graph convolution for scene parsing and segmentation.
Neurocomputing, 2021

Rethinking ResNets: Improved Stacking Strategies With High Order Schemes.
CoRR, 2021

Transformer And Node-Compressed Dnn Based Dual-Path System For Manipulated Face Detection.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Sub-Band Grouping Spectral Feature-Attention Block for Hyperspectral Image Classification.
Proceedings of the IEEE International Conference on Acoustics, 2021

HFGCNET: High-Frequency Graph Reasoning for Finer Semantic Image Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Deep Neural Networks with Flexible Complexity While Training Based on Neural Ordinary Differential Equations.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Pneumonia Detection on Chest X-rays With Attention Mask Data Augmentation.
Proceedings of the VSIP '20: 2020 2nd International Conference on Video, 2020


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