Publications

Publication Profile @ Google Scholar | DBLP

2023

• • Class-incremental continual learning for instance segmentation with image-level weak supervision.
    Yu-Hsing Hsieh, Guan-Sheng Chen, Shun-Xian Cai, Ting-Yun Wei, Huei-Fang Yang, and Chu-Song Chen.
    IEEE/CVF International Conference on Computer Visio (ICCV), 2023.

  • Continual cell instance segmentation of microscopy images.
    Tzu-Ting Chuang, Ting-Yun Wei, Yu-Hsing Hsieh, Chu-Song Chen, and Huei-Fang Yang.
    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023.

2022

• • Learning binary hash codes based on adaptable label representations.
    Huei-Fang Yang, Cheng-Hao Tu, and Chu-Song Chen.
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 33(11):6961–6975, 2022.

2021

• • SemanticHash: Hash coding via semantics-guided label prototype learning.
    Cheng-Hao Tu, Huei-Fang Yang, Shih-Min Yang, Mei-Chen Yeh, and Chu-Song Chen.
    IEEE Transactions on Artificial Intelligence (TAI), 2(1):42–57, 2021.

2020

• • Cross-batch reference learning for deep retrieval.
    Huei-Fang Yang, Kevin Lin, Ting-Yen Chen, and Chu-Song Chen.
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 31(9):3145–3158, 2020.

2019

• • Adaptive labeling for hash code learning via neural networks.
    Huei-Fang Yang, Cheng-Hao Tu, and Chu-Song Chen.
    In IEEE International Conference on Image Processing (ICIP), 2019.

  • Adaptive labeling for deep learning to hash.
    Huei-Fang Yang, Cheng-Hao Tu, and Chu-Song Chen.
    In CVPR Workshop (CVPRW) on Compact and Efficient Feature Representation and Learning in Computer Vision (CEFRL), 2019.

2018

• • Equivalent scanning network of unpadded CNNs.
    Huei-Fang Yang, Ting-Yen Chen, Cheng-Hao Tu, and Chu-Song Chen.
    IEEE Signal Processing Letters (SPL), 25(10):1590–1594, 2018.

  • Supervised learning of semantics-preserving hash via deep convolutional neural networks.
    Huei-Fang Yang, Kevin Lin, and Chu-Song Chen.
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 40(2):437–451, 2018. [pdf] [code]

  • Joint estimation of age and expression by combining scattering and convolutional networks.
    Huei-Fang Yang, Bo-Yao Lin, Kuang-Yu Chang, and Chu-Song Chen.
    ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 14(1):9:1–9:18, 2018. [pdf]

  • Supervised representation hash codes learning.
    Huei-Fang Yang, Cheng-Hao Tu, and Chu-Song Chen.
    In International Computer Symposium (ICS), pages 141-149, 2018.

2016

• • Cross-batch reference learning for deep classification and retrieval.
    Huei-Fang Yang, Kevin Lin, and Chu-Song Chen.
    In ACM Multimedia (ACM MM), 2016. [full paper, acceptance rate: 22%] [code]

  • Action-based grounding: Beyond encoding/decoding in neural code.
    Yoonsuck Choe and Huei-Fang Yang.
    In 25th Annual Computational Neuroscience Meeting, CNS*2016

2015

• • Reconstruction, electron microscopy.
    Huei-Fang Yang.
    In Dieter Jaeger and Ranu Jung, editors, Encyclopedia of Computational Neuroscience, pages 2587-2591. Springer New York, 2015.

  • Quick browsing and retrieval for surveillance videos.
    Cheng-Chieh Chiang and Huei-Fang Yang.
    Multimedia Tools and Applications (MTA), 74(9):2861–2877, 2015.

  • Automatic age estimation from face images via deep ranking.
    Huei-Fang Yang, Bo-Yao Lin, Kuang-Yu Chang, and Chu-Song Chen.
    In British Machine Vision Conference (BMVC), 2015.

  • Detection and tracking of Golgi outposts in microscopy data.
    Huei-Fang Yang, Chu-Song Chen, and Xavier Descombes.
    In IEEE International Symposium on Biomedical Imaging (ISBI), pages 793-796, 2015. [oral, acceptance rate: 18%, 130/714] [pdf]

  • Rapid clothing retrieval via deep learning of binary codes and hierarchical search.
    Kevin Lin, Huei-Fang Yang, Kuan-Hsien Liu, Jen-Hao Hsiao, and Chu-Song Chen.
    In ACM International Conference on Multimedia Retrieval (ICMR), 2015.

  • Deep learning of binary hash codes for fast image retrieval.
    Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, and Chu-Song Chen.
    In Computer Vision and Pattern Recognition Workshop (CVPRW) on DeepVision: Deep Learning in Computer Vision, 2015. [code] [questions]

  • Flower classification with few training examples via recalling visual patterns from deep CNN.
    Kevin Lin, Huei-Fang Yang, and Chu-Song Chen.
    In IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP), 2015. (Huang Jan S. Memorial Excellent Paper Award)

2014

• • Head tracking and flagellum tracing for sperm motility analysis.
    Huei-Fang Yang, Xavier Descombes, Sylvain Prigent, Grégoire Malandain, Xavier Druart, and Franck Plouraboué.
    In IEEE International Symposium on Biomedical Imaging (ISBI), pages 310–313, 2014. [pdf]

2012

• • Tracking growing axons by particle filtering in 3D+t fluorescent two-photon microscopy images.
    Huei-Fang Yang, Xavier Descombes, Charles Kervrann, Caroline Medioni, and Florence Besse.
    In Asian Conference on Computer Vision (ACCV), volume 7726 of LNCS, pages 272–283. Springer, 2012. [acceptance rate: 26.6%, 231/869] [pdf]

2011

• • A quick browsing system for surveillance videos.
    Cheng-Chieh Chiang, Ming-Nan Tsai, and Huei-Fang Yang.
    In IAPR International Conference on Machine Vision Applications (MVA), pages 47–50, 2011.

  • Ground truth estimation by maximizing topological agreements in electron microscopy data.
    Huei-Fang Yang and Yoonsuck Choe.
    In International Symposium on Visual Computing (ISVC), pages 371–380, 2011. [oral, acceptance rate: 28%, 68/240+]

  • An interactive editing framework for electron microscopy image segmentation.
    Huei-Fang Yang and Yoonsuck Choe.
    In International Symposium on Visual Computing (ISVC), pages 400–409, 2011. [oral, acceptance rate: 28%, 68/240+]

2010

• • Multiscale imaging, analysis, and integration of mouse brain networks.
    Yoonsuck Choe, Louise C. Abbott, John Keyser, Daniel E. Miller, Donghyeop Han, Huei-Fang Yang, Ji Ryang Chung, Chul Sung, David Mayerich, Jaerock Kwon, Kristina Micheva, and Stephen J. Smith.
    In Society for Neuroscience Abstracts, 2010.

  • Electron microscopy image segmentation with graph cuts utilizing estimated symmetric three-dimensional shape prior.
    Huei-Fang Yang and Yoonsuck Choe.
    In International Symposium on Visual Computing (ISVC), pages 322–331, 2010. [oral, acceptance rate: 31%, 93/300+]

  • Reconstruction of neuronal morphologies from electron microscopy images using graph cuts.
    Huei-Fang Yang and Yoonsuck Choe.
    BMC Neuroscience, 11(Suppl 1):P142, 2010.

  • Electron microscopy image segmentation with estimated 3D shape prior.
    Huei-Fang Yang and Yoonsuck Choe.
    In the 2nd Texas A&M University and Health Science Center Neuroscience Symposium, 2010.

  • Feature selection for inductive generalization.
    Na-Yung Yu, Takashi Yamauchi, Huei-Fang Yang, Yen-Lin Chen, and Ricardo Gutierrez-Osuna.
    Cognitive Science (CogSci), 34(8):1574–1593, 2010.

2009

• • Indexing and teaching focus mining of lecture videos.
    Yu-Tzu Lin, Bai-Jang Yen, Chia-Hu Chang, Huei-Fang Yang, and Greg C. Lee.
    In IEEE International Symposium on Multimedia (ISM), pages 681–686, 2009.

  • Cell tracking and segmentation in electron microscopy images using graph cuts.
    Huei-Fang Yang and Yoonsuck Choe.
    In IEEE International Symposium on Biomedical Imaging (ISBI), pages 306–309, 2009. [oral, acceptance rate: 32%, 168/527]

  • 3D volume extraction of densely packed cells in EM data stack by forward and backward graph cuts.
    Huei-Fang Yang and Yoonsuck Choe.
    In IEEE Symp. Computational Intelligence for Multimedia Signal and Vision Processing (CIMSVP), pages 47–52, 2009.

2008

• • Motor system's role in grounding, receptive field development, and shape recognition.
    Yoonsuck Choe, Huei-Fang Yang, and Navendu Misra.
    In International Conference on Development and Learning (ICDL), pages 67–72, 2008.

  • Decoding spikes without stimulus information: Its implications on receptive-field learning.
    Yoonsuck Choe and Huei-Fang Yang.
    In Computational and Systems Neuroscience Meeting (COSYNE), 2008.

  • Identifying salient features in similarity judgements: A machine learning approach.
    Na-Yung Yu, Takashi Yamauchi, Huei-Fang Yang, Yen-Lin Chen, and Ricardo Gutierrez-Osuna.
    In International Conference on Cognitive Science (ICCS), 2008.

2007

• • Autonomous learning of the semantics of internal sensory states based on motor exploration.
    Yoonsuck Choe, Huei-Fang Yang, and Daniel Chern-Yeow Eng.
    International Journal of Humanoid Robotics (IJHR), 4:211–243, 2007.

  • Co-development of visual receptive fields and their motor primitive-based decoding scheme.
    Huei-Fang Yang and Yoonsuck Choe.
    In International Joint Conference on Neural Networks (IJCNN) 2007 Post conf. Workshop on Biologically-inspired Computational Vision, 2007.

2006

• • Co-development of visual receptive fields and their motor primitive-based decoding scheme.
    Yoonsuck Choe and Huei-Fang Yang.
    In Society for Neuroscience Abstracts, Washington, DC: Society for Neuroscience, 2006. Program No. 734.6. Online

2004

• • Using ellipsoidal lattice in matching of projected slides.
    Greg C. Lee, Meng-Yuan Chou, and Huei-Fang Yang.
    In Asian Conference on Computer Vision (ACCV), January 2004. [oral, acceptance rate: 13%]