Zitang Sun

Orcid: 0000-0003-2267-421X

According to our database1, Zitang Sun authored at least 13 papers between 2020 and 2023.

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

Timeline

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Bibliography

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

Modelling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network for Adaptive Motion Integration.
CoRR, 2023

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

Modeling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

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
Validation Feedback based Image Transfer Network for Data Augmentation.
Proceedings of the VSIP '20: 2020 2nd International Conference on Video, 2020

Adaptive Image Compression Using GAN based Semantic-perceptual Residual Compensation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Semantic Segmentation Refinement Using Entropy and Boundary-guided Monte Carlo Sampling and Directed Regional Search.
Proceedings of the 25th International Conference on Pattern Recognition, 2020


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