Tiantian Wang

Affiliations:
  • Dalian University of Technology, School of Information and Communication Engineering, China


According to our database1, Tiantian Wang authored at least 13 papers between 2016 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Pixel2ISDF: Implicit Signed Distance Fields Based Human Body Model from Multi-view and Multi-pose Images.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2020
A Multistage Refinement Network for Salient Object Detection.
IEEE Trans. Image Process., 2020

Visual Saliency Detection via Kernelized Subspace Ranking With Active Learning.
IEEE Trans. Image Process., 2020

Dynamically-Passed Contextual Information Network for Saliency Detection.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

2019
Edge-Aware Convolution Neural Network Based Salient Object Detection.
IEEE Signal Process. Lett., 2019

A hybrid-backward refinement model for salient object detection.
Neurocomputing, 2019

Multi-scale Pyramid Pooling Network for salient object detection.
Neurocomputing, 2019

Deep Learning for Light Field Saliency Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Deep multi-level networks with multi-task learning for saliency detection.
Neurocomputing, 2018

Progressive Attention Guided Recurrent Network for Salient Object Detection.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Detect Globally, Refine Locally: A Novel Approach to Saliency Detection.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
A Stagewise Refinement Model for Detecting Salient Objects in Images.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Kernelized Subspace Ranking for Saliency Detection.
Proceedings of the Computer Vision - ECCV 2016, 2016


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