Kuan-Chuan Peng
- Phone: 617-621-7576
- Email:
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Position:
Research / Technical Staff
Research Scientist -
Education:
Ph.D., Cornell University, 2016 -
Research Areas:
External Links:
Kuan-Chuan's Quick Links
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Biography
Before joining MERL, he was a Research Scientist (2016-2018) and Staff Scientist (2019) at Siemens Corporate Technology. His PhD research focuses on solving abstract tasks in computer vision using convolutional neural networks. In addition to his PhD, he received a bachelor's degree in Electrical Engineering and an MS degree in Computer Science and Information Engineering from National Taiwan University in 2009 and 2012 respectively. His research interests include incremental learning, developing practical solutions given biased or scarce data, and fundamental computer vision and machine learning problems.
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Internships with Kuan-Chuan
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CV1372: Computer Vision for Biased or Scarce Data
MERL is looking for a self-motivated intern to work on data scarcity and bias issues for computer vision. The topics in the scope include (but not limited to): domain adaptation, generative modeling, transfer/low-shot/unsupervised/webly-supervised learning, etc. The ideal candidate would be a PhD student with a strong background in computer vision and machine learning. Proficiency in Python programming and familiarity in at least one deep learning framework are necessary. The ideal candidate is expected to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. The duration of the internship is expected to be at least 3 months with a flexible start date.
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Other Publications
- , "Learning without Memorizing", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.BibTeX
- @Inproceedings{Dhar_CVPR19,
- author = {Dhar, Prithviraj and Singh, Rajat Vikram and Peng, Kuan-Chuan and Wu, Ziyan and Chellappa, Rama},
- title = {Learning without Memorizing},
- booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
- year = 2019
- }
- , "Guided Attention Inference Network", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.BibTeX
- @Article{Li_TPAMI19,
- author = {Li, Kunpeng and Wu, Ziyan and Peng, Kuan-Chuan and Ernst, Jan and Fu, Yun},
- title = {Guided Attention Inference Network},
- journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
- year = 2019,
- publisher = {IEEE}
- }
- , "Sharpen Focus: Learning with Attention Separability and Consistency", IEEE International Conference on Computer Vision (ICCV), 2019.BibTeX
- @Inproceedings{Wang_ICCV19,
- author = {Wang, Lezi and Wu, Ziyan and Karanam, Srikrishna and Peng, Kuan-Chuan and Singh, Rajat Vikram and Liu, Bo and Metaxas, Dimitris N.},
- title = {Sharpen Focus: Learning with Attention Separability and Consistency},
- booktitle = {IEEE International Conference on Computer Vision (ICCV)},
- year = 2019
- }
- , "Learning Compositional Visual Concepts with Mutual Consistency", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.BibTeX
- @Inproceedings{Gong_CVPR18,
- author = {Gong, Yunye and Karanam, Srikrishna and Wu, Ziyan and Peng, Kuan-Chuan and Ernst, Jan and Doerschuk, Peter C.},
- title = {Learning Compositional Visual Concepts with Mutual Consistency},
- booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
- year = 2018
- }
- , "Tell Me Where to Look: Guided Attention Inference Network", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.BibTeX
- @Inproceedings{Li_CVPR18,
- author = {Li, Kunpeng and Wu, Ziyan and Peng, Kuan-Chuan and Ernst, Jan and Fu, Yun},
- title = {Tell Me Where to Look: Guided Attention Inference Network},
- booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
- year = 2018
- }
- , "Zero-Shot Deep Domain Adaptation", European Conference on Computer Vision (ECCV), 2018.BibTeX
- @Inproceedings{Peng_ECCV18,
- author = {Peng, Kuan-Chuan and Wu, Ziyan and Ernst, Jan},
- title = {Zero-Shot Deep Domain Adaptation},
- booktitle = {European Conference on Computer Vision (ECCV)},
- year = 2018
- }
- , "Where Do Emotions Come from? Predicting the Emotion Stimuli Map", IEEE International Conference on Image Processing (ICIP), 2016.BibTeX
- @Inproceedings{Peng_ICIP16,
- author = {Peng, Kuan-Chuan and Chen, Tsuhan and Sadovnik, Amir and Gallagher, Andrew C.},
- title = {Where Do Emotions Come from? Predicting the Emotion Stimuli Map},
- booktitle = {IEEE International Conference on Image Processing (ICIP)},
- year = 2016
- }
- , "Toward Correlating and Solving Abstract Tasks Using Convolutional Neural Networks", IEEE Winter Conference on Applications of Computer Vision (WACV), 2016.BibTeX
- @Inproceedings{Peng_WACV16,
- author = {Peng, Kuan-Chuan and Chen, Tsuhan},
- title = {Toward Correlating and Solving Abstract Tasks Using Convolutional Neural Networks},
- booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
- year = 2016
- }
- , "A Mixed Bag of Emotions: Model, Predict, and Transfer Emotion Distributions", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.BibTeX
- @Inproceedings{Peng_CVPR15,
- author = {Peng, Kuan-Chuan and Chen, Tsuhan and Sadovnik, Amir and Gallagher, Andrew C.},
- title = {A Mixed Bag of Emotions: Model, Predict, and Transfer Emotion Distributions},
- booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
- year = 2015
- }
- , "Cross-layer Features in Convolutional Neural Networks for Generic Classification Tasks", IEEE International Conference on Image Processing (ICIP), 2015.BibTeX
- @Inproceedings{Peng_ICIP15,
- author = {Peng, Kuan-Chuan and Chen, Tsuhan},
- title = {Cross-layer Features in Convolutional Neural Networks for Generic Classification Tasks},
- booktitle = {IEEE International Conference on Image Processing (ICIP)},
- year = 2015
- }
- , "A Framework of Extracting Multi-scale Features Using Multiple Convolutional Neural Network", IEEE International Conference on Multimedia and Expo (ICME), 2015.BibTeX
- @Inproceedings{Peng_ICME15,
- author = {Peng, Kuan-Chuan and Chen, Tsuhan},
- title = {A Framework of Extracting Multi-scale Features Using Multiple Convolutional Neural Network},
- booktitle = {IEEE International Conference on Multimedia and Expo (ICME)},
- year = 2015
- }
- , "A Framework of Changing Image Emotion Using Emotion Prediction", IEEE International Conference on Image Processing (ICIP), 2014.BibTeX
- @Inproceedings{Peng_ICIP14,
- author = {Peng, Kuan-Chuan and Karlsson, Kolbeinn and Chen, Tsuhan and Zhang, Dongqing and Yu, Hong Heather},
- title = {A Framework of Changing Image Emotion Using Emotion Prediction},
- booktitle = {IEEE International Conference on Image Processing (ICIP)},
- year = 2014
- }
- , "Incorporating Cloud Distribution in Sky Representation", IEEE International Conference on Computer Vision (ICCV), 2013.BibTeX
- @Inproceedings{Peng_ICCV13,
- author = {Peng, Kuan-Chuan and Chen, Tsuhan},
- title = {Incorporating Cloud Distribution in Sky Representation},
- booktitle = {IEEE International Conference on Computer Vision (ICCV)},
- year = 2013
- }
- , "Learning without Memorizing", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.