Qiudan Zhang

Orcid: 0000-0001-6067-8188

According to our database1, Qiudan Zhang authored at least 18 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Multi-exposure embeddings for graph learning: Towards high dynamic range image saliency prediction.
IET Image Process., May, 2024

Distortion-Aware Self-Supervised Indoor 360$^{\circ }$ Depth Estimation via Hybrid Projection Fusion and Structural Regularities.
IEEE Trans. Multim., 2024

3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance.
CoRR, 2024

Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-labeling.
CoRR, 2024

2023
Weakly-Supervised 3D Visual Grounding based on Visual Linguistic Alignment.
CoRR, 2023

Salient Object Detection on 360° Omnidirectional Image with Bi-Branch Hybrid Projection Network.
Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

Hybrid Prior-Based Diminished Reality for Indoor Panoramic Images.
Proceedings of the Advances in Computer Graphics, 2023

2022
Adaptive Viewpoint Feature Enhancement-Based Binocular Stereoscopic Image Saliency Detection.
IEEE Trans. Circuits Syst. Video Technol., 2022

Deep stereoscopic image saliency inspired stereoscopic image thumbnail generation.
Multim. Tools Appl., 2022

Self-supervised Indoor 360-Degree Depth Estimation via Structural Regularization.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

A Learning-based Framework for Multi-View Instance Segmentation in Panorama.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021
Geometry Auxiliary Salient Object Detection for Light Fields via Graph Neural Networks.
IEEE Trans. Image Process., 2021

A Multi-Task Collaborative Network for Light Field Salient Object Detection.
IEEE Trans. Circuits Syst. Video Technol., 2021

2020
Learning to Explore Saliency for Stereoscopic Videos Via Component-Based Interaction.
IEEE Trans. Image Process., 2020

Multi-Exposure Decomposition-Fusion Model for High Dynamic Range Image Saliency Detection.
IEEE Trans. Circuits Syst. Video Technol., 2020

2019
Real-Time Video Saliency Prediction Via 3D Residual Convolutional Neural Network.
IEEE Access, 2019

Learning to Explore Intrinsic Saliency for Stereoscopic Video.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2016
Deep Learning Features Inspired Saliency Detection of 3D Images.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016


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