林 彥宇

研究成果

每年研究成果 2004 2014 2015 2017 2018 2019 2020 2021

• 48 Conference contribution
• 19 Article
• 14 Chapter
• 5 Paper
• 2 更多
  • 2 Conference article

每年研究成果

每年研究成果

搜尋結果

• 2019

  Deep Semantic Matching with Foreground Detection and Cycle-Consistency

  Chen, Y. C., Huang, P. H., Yu, L. Y., Huang, J. B., Yang, M. H. & Lin, Y. Y., 2019, Lecture Notes in Computer Science. Springer Verlag, p. 347-362 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 11363 LNCS).

  研究成果: Chapter › 同行評審

  • Semantics 100%
  8 引文 斯高帕斯（Scopus）

• Unseen Object Segmentation in Videos via Transferable Representations

  Chen, Y. W., Tsai, Y. H., Yang, C. Y., Lin, Y. Y. & Yang, M. H., 2019, Lecture Notes in Computer Science. Springer Verlag, p. 615-631 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 11364 LNCS).

  研究成果: Chapter › 同行評審

  • Personnel 100%
  • Pixels 98%
• 2018

  Co-attention CNNs for unsupervised object co-segmentation

  Hsu, K. J., Lin, Y. Y. & Chuang, Y. Y., 七月 2018, IJCAI'18: Proceedings of the 27th International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence, p. 748-756 9 p. (IJCAI International Joint Conference on Artificial Intelligence; 卷 2018-July).

  研究成果: Chapter › 同行評審

  • Masks 100%
  • Experiments 18%
  32 引文 斯高帕斯（Scopus）

• Deep dictionary learning for fine-grained image classification

  Srinivas, M., Lin, Y. Y. & Liao, H. Y. M., 20 二月 2018, 2017 IEEE International Conference on Image Processing (ICIP). IEEE Computer Society, p. 835-839 5 p. (Proceedings - International Conference on Image Processing, ICIP; 卷 2017-September).

  研究成果: Chapter › 同行評審

  • Image classification 100%
  • Glossaries 90%
  • Convolutional neural networks 56%
  • Positive ions 38%
  • Birds 36%
  3 引文 斯高帕斯（Scopus）

• Learning adaptive hidden layers for mobile gesture recognition

  Hu, T. K., Lin, Y. Y. & Hsiu, P. C., 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI press, p. 6934-6942 9 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

  研究成果: Chapter › 同行評審

  • Gesture recognition 100%
  • Network layers 23%
  • Deep neural networks 20%
  • Neurons 19%
  • Chemical activation 19%
  3 引文 斯高帕斯（Scopus）

• SSR-NET: A compact soft stagewise regression network for age estimation

  Yang, T. Y., Huang, Y-H., Lin, Y. Y., Hsiu, P. C. & Chuang, Y. Y., 2018, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18). International Joint Conferences on Artificial Intelligence, p. 1078-1084 7 p. (IJCAI International Joint Conference on Artificial Intelligence; 卷 2018-July).

  研究成果: Chapter › 同行評審

  • Refining 100%
  • Network architecture 95%
  • Neurons 94%
  49 引文 斯高帕斯（Scopus）

• Unsupervised CNN-Based Co-saliency Detection with Graphical Optimization

  Hsu, K. J., Tsai, C. C., Lin, Y. Y., Qian, X. & Chuang, Y. Y., 2018, Lecture Notes in Computer Science. Springer Verlag, 卷 11209. p. 502-518 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 11209 LNCS).

  研究成果: Chapter › 同行評審

  • Convolutional neural networks 100%
  • Masks 25%
  • Experiments 9%
  8 引文 斯高帕斯（Scopus）
• 2017

  DeepCD: Learning Deep Complementary Descriptors for Patch Representations

  Yang, T. Y., Hsu, J. H., Lin, Y. Y. & Chuang, Y. Y., 22 十二月 2017, 2017 IEEE International Conference on Computer Vision (ICCV). Institute of Electrical and Electronics Engineers Inc., p. 3334-3342 9 p. (Proceedings of the IEEE International Conference on Computer Vision; 卷 2017-October).

  研究成果: Chapter › 同行評審

  • Deep learning 100%
  • Fusion reactions 89%
  • Network layers 62%
  • Modulation 43%
  • Experiments 19%
  23 引文 斯高帕斯（Scopus）

• Deep co-occurrence feature learning for visual object recognition

  Shih, Y. F., Yeh, Y. M., Lin, Y. Y., Weng, M. F., Lu, Y. C. & Chuang, Y. Y., 6 十一月 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Institute of Electrical and Electronics Engineers Inc., p. 7302-7311 10 p. (Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017; 卷 2017-January).

  研究成果: Chapter › 同行評審

  • Object recognition 100%
  • Convolutional neural networks 87%
  • Birds 55%
  • Network layers 53%
  • Neurons 44%
  26 引文 斯高帕斯（Scopus）

• Image co-saliency detection via locally adaptive saliency map fusion

  Tsai, C. C., Qian, X. & Lin, Y. Y., 16 六月 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers Inc., p. 1897-1901 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

  研究成果: Chapter › 同行評審

  • Fusion reactions 100%
  6 引文 斯高帕斯（Scopus）

• Learning and inferring human actions with temporal pyramid features based on conditional random fields

  Lin, S. Y., Lin, Y. Y., Chen, C. S. & Hung, Y. P., 16 六月 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers Inc., p. 2617-2621 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

  研究成果: Chapter › 同行評審
  5 引文 斯高帕斯（Scopus）

• Learning deep and sparse feature representation for fine-grained object recognition

  Srinivas, M., Lin, Y. Y. & Liao, H. Y. M., 28 八月 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME). IEEE Computer Society, p. 1458-1463 6 p. (Proceedings - IEEE International Conference on Multimedia and Expo).

  研究成果: Chapter › 同行評審

  • Object recognition 100%
  • Glossaries 92%
  • Deep learning 85%
  • Convolutional neural networks 58%
  • Labeled data 37%
  8 引文 斯高帕斯（Scopus）

• Segmentation guided local proposal fusion for co-saliency detection

  Tsai, C. C., Qian, X. & Lin, Y. Y., 28 八月 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME). IEEE Computer Society, p. 523-528 6 p. (Proceedings - IEEE International Conference on Multimedia and Expo).

  研究成果: Chapter › 同行評審

  • Fusion reactions 100%
  9 引文 斯高帕斯（Scopus）
• 2005

  Semantic manifold learning for image retrieval

  Lin, Y. Y., Liu, T. L. & Chen, H. T., 2005, Proceedings of the 13th ACM International Conference on Multimedia, MM 2005. p. 249-258 10 p. (Proceedings of the 13th ACM International Conference on Multimedia, MM 2005).

  研究成果: Chapter › 同行評審

  • Image retrieval 100%
  • Semantics 65%
  • Feedback 30%
  • Constrained optimization 26%
  89 引文 斯高帕斯（Scopus）