Kuang-Jui Hsu

Orcid: 0000-0003-4055-3585

According to our database1, Kuang-Jui Hsu authored at least 17 papers between 2012 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2020
Deep Co-Saliency Detection via Stacked Autoencoder-Enabled Fusion and Self-Trained CNNs.
IEEE Trans. Multim., 2020

Weakly-Supervised Video Re-Localization with Multiscale Attention Model.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Image Co-Saliency Detection and Co-Segmentation via Progressive Joint Optimization.
IEEE Trans. Image Process., 2019

Weakly Supervised Salient Object Detection by Learning A Classifier-Driven Map Generator.
IEEE Trans. Image Process., 2019

Weakly Supervised Instance Segmentation using the Bounding Box Tightness Prior.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Efficient Model-Based Object Pose Estimation Based on Multi-Template Tracking and PnP Algorithms.
Algorithms, 2018

Co-attention CNNs for Unsupervised Object Co-segmentation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Unsupervised CNN-Based Co-saliency Detection with Graphical Optimization.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Real-time embedded implementation of robust speed-limit sign recognition using a novel centroid-to-contour description method.
IET Comput. Vis., 2017

Weakly Supervised Saliency Detection with A Category-Driven Map Generator.
Proceedings of the British Machine Vision Conference 2017, 2017

2015
Matching Images With Multiple Descriptors: An Unsupervised Approach for Locally Adaptive Descriptor Selection.
IEEE Trans. Image Process., 2015

Robust image alignment with multiple feature descriptors and matching-guided neighborhoods.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Augmented Multiple Instance Regression for Inferring Object Contours in Bounding Boxes.
IEEE Trans. Image Process., 2014

Descriptor Ensemble: An Unsupervised Approach to Descriptor Fusion in the Homography Space.
CoRR, 2014

Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2012
Knowledge Leverage from Contours to Bounding Boxes: A Concise Approach to Annotation.
Proceedings of the Computer Vision - ACCV 2012, 2012


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