Yi Zhang

Orcid: 0000-0002-7110-5948

Affiliations:
  • INSA Rennes, CNRS, France


According to our database1, Yi Zhang authored at least 13 papers between 2020 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
PAV-SOD: A New Task towards Panoramic Audiovisual Saliency Detection.
ACM Trans. Multim. Comput. Commun. Appl., 2023

Predictive Uncertainty Estimation for Camouflaged Object Detection.
IEEE Trans. Image Process., 2023

2022
D$^{2}$C-Net: A Dual-Branch, Dual-Guidance and Cross-Refine Network for Camouflaged Object Detection.
IEEE Trans. Ind. Electron., 2022

Channel-Spatial Mutual Attention Network for 360° Salient Object Detection.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021
ASOD60K: Audio-Induced Salient Object Detection in Panoramic Videos.
CoRR, 2021

SHD360: A Benchmark Dataset for Salient Human Detection in 360° Videos.
CoRR, 2021

CMA-Net: A Cascaded Mutual Attention Network for Light Field Salient Object Detection.
CoRR, 2021

Learning Synergistic Attention for Light Field Salient Object Detection.
CoRR, 2021

Context-aware Cross-level Fusion Network for Camouflaged Object Detection.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning Synergistic Attention for Light Field Salient Object Detection.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

RGB-D Salient Object Detection via 3D Convolutional Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Key Issues for the Construction of Salient Object Datasets with Large-Scale Annotation.
Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

A Fixation-Based 360° Benchmark Dataset For Salient Object Detection.
Proceedings of the IEEE International Conference on Image Processing, 2020


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