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Research Assistant  |  Hsu, Kuang-Jui  
 
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Publications
 
Journal Articles
 
1. Chung-Chi Tsai, Weizhi Li, Kuang-Jui Hsu, Xiaoning Qian, and Yen-Yu Lin, "Image Co-saliency Detection and Co-segmentation via Progressive Joint Optimization," IEEE Transactions on Image Processing (TIP), volume 28, number 1, pages 56-71, January 2019.
2. Yuan-Ting Hu, Yen-Yu Lin, Hsin-Yi Chen, Kuang-Jui Hsu, and Bing-Yu Chen, "Matching Images with Multiple Descriptors: An Unsupervised Approach for Locally Adaptive Descriptor Selection," IEEE Transactions on Image Processing (TIP), volume 24, number 12, pages 5995-6010, December 2015.
3. Kuang-Jui Hsu, Yen-Yu Lin, and Yung-Yu Chuang, "Augmented Multiple Instance Regression for Inferring Object Contours in Bounding Boxes," IEEE Transactions on Image Processing (TIP), volume 23, number 4, pages 1722-1736, April 2014.
 
 
Conference Papers
 
1. Kuang-Jui Hsu, Chung-Chi Tsai, Yen-Yu Lin, Xiaoning Qian, and Yung-Yu Chuang, "Unsupervised CNN-based Co-saliency Detection with Graphical Optimization," European Conference on Computer Vision (ECCV), September 2018.
2. Kuang-Jui Hsu, Yen-Yu Lin, and Yung-Yu Chuang, "Co-attention CNNs for Unsupervised Object Co-segmentation," International Joint Conference on Artificial Intelligence (IJCAI), July 2018.
3. Kuang-Jui Hsu, Yen-Yu Lin, and Yung-Yu Chuang, "Weakly Supervised Saliency Detection with A Category-Driven Map Generator," British Machine Vision Conference (BMVC), September 2017.
4. Kuang-Jui Hsu, Yen-Yu Lin, and Yung-Yu Chuang, "Robust Image Alignment with Multiple Feature Descriptors and Matching-Guided Neighborhoods," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2015.
5. Feng-Ju Chang, Yen-Yu Lin, and Kuang-Jui Hsu, "Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2014.
6. Jie-Zhi Cheng, Feng-Ju Chang, Kuang-Jui Hsu, and Yen-Yu Lin, "Knowledge Leverage from Contours to Bounding Boxes: A Concise Approach to Annotation," Asian Conference on Computer Vision (ACCV), Lecture Notes in Computer Science, November 2012.
 
 
 
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