Yihong Wu

Orcid: 0000-0003-3340-2535

Affiliations:
  • University of Southampton, Vision, Learning and Control Research Group, School of Electronics and Computer Science, UK


According to our database1, Yihong Wu authored at least 10 papers between 2021 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Omnidirectional Depth Estimation for Semantic Segmentation.
Proceedings of the International Conference on Electronics, Information, and Communication, 2024

SliceFormer: Deep Dense Depth Estimation from a Single Indoor Omnidirectional Image Using a Slice-Based Transformer.
Proceedings of the International Conference on Electronics, Information, and Communication, 2024

2023
Depth Insight - Contribution of Different Features to Indoor Single-image Depth Estimation.
CoRR, 2023

MatSpectNet: Material Segmentation Network with Domain-Aware and Physically-Constrained Hyperspectral Reconstruction.
CoRR, 2023

Depth Estimation for a Single Omnidirectional Image with Reversed-Gradient Warming-up Thresholds Discriminator.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
CAM-SegNet: A Context-Aware Dense Material Segmentation Network for Sparsely Labelled Datasets.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Dense Material Segmentation with Context-Aware Network.
Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2022

Room Acoustic Properties Estimation from a Single 360° Photo.
Proceedings of the 30th European Signal Processing Conference, 2022

Enhancing Material Features Using Dynamic Backward Attention on Cross-Resolution Patches.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Depth Estimation from a Single Omnidirectional Image using Domain Adaptation.
Proceedings of the CVMP '21: European Conference on Visual Media Production, London, United Kingdom, December 6, 2021


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