People - Kuan-Chuan Peng | Mitsubishi Electric Research Laboratories

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.
Recent News & Events
- NEWS MERL presenting 8 papers at ICASSP 2022
  Date: May 22, 2022 - May 27, 2022
  Where: Singapore
  MERL Contacts: Anoop Cherian; Chiori Hori; Toshiaki Koike-Akino; Jonathan Le Roux; Tim K. Marks; Philip V. Orlik; Kuan-Chuan Peng; Pu (Perry) Wang; Gordon Wichern
  Research Areas: Artificial Intelligence, Computer Vision, Signal Processing, Speech & Audio
  Brief
  - MERL researchers are presenting 8 papers at the IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), which is being held in Singapore from May 22-27, 2022. A week of virtual presentations also took place earlier this month.
    
    Topics to be presented include recent advances in speech recognition, audio processing, scene understanding, computational sensing, and classification.
    
    ICASSP is the flagship conference of the IEEE Signal Processing Society, and the world's largest and most comprehensive technical conference focused on the research advances and latest technological development in signal and information processing. The event attracts more than 2000 participants each year.
- NEWS MERL researchers presenting four papers and organizing two workshops at CVPR 2020 conference
  Date: June 14, 2020 - June 19, 2020
  MERL Contacts: Anoop Cherian; Michael J. Jones; Toshiaki Koike-Akino; Tim K. Marks; Kuan-Chuan Peng; Ye Wang
  Research Areas: Artificial Intelligence, Computer Vision, Machine Learning
  Brief
  - MERL researchers are presenting four papers (two oral papers and two posters) and organizing two workshops at the IEEE/CVF Computer Vision and Pattern Recognition (CVPR 2020) conference.
    
    CVPR 2020 Orals with MERL authors:
    1. "Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction," by Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian
    2. "Collaborative Motion Prediction via Neural Motion Message Passing," by Yue Hu, Siheng Chen, Ya Zhang, Xiao Gu
    
    CVPR 2020 Posters with MERL authors:
    3. "LUVLi Face Alignment: Estimating Landmarks’ Location, Uncertainty, and Visibility Likelihood," by Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Ye Wang, Michael Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, Chen Feng
    4. "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird’s Eye View Maps," by Pengxiang Wu, Siheng Chen, Dimitris N. Metaxas
    
    CVPR 2020 Workshops co-organized by MERL researchers:
    1. Fair, Data-Efficient and Trusted Computer Vision
    2. Deep Declarative Networks.
Research Highlights
- Robust Machine Learning
MERL Publications
- Ahmed, S.M., Lohit, S., Peng, K.-C., Jones, M.J., Roy-Chowdhury, A.K., "Cross-Modal Knowledge Transfer Without Task-Relevant Source Data", arXiv, September 2022.
  BibTeX arXiv
  - @article{Ahmed2022sep,
  - author = {Ahmed, Sk Miraj and Lohit, Suhas and Peng, Kuan-Chuan and Jones, Michael J. and Roy-Chowdhury, Amit K},
  - title = {Cross-Modal Knowledge Transfer Without Task-Relevant Source Data},
  - journal = {arXiv},
  - year = 2022,
  - month = sep,
  - url = {https://arxiv.org/abs/2209.04027}
  - }
- Peng, K.-C., "Iterative Self Knowledge Distillation --- From Pothole Classification To Fine-Grained And COVID Recognition", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Gan, W.-S. and Ma, K. K., Eds., DOI: 10.1109/ICASSP43922.2022.9746470, April 2022, pp. 3139-3143.
  BibTeX TR2022-020 PDF Video Presentation
  - @inproceedings{Peng2022apr,
  - author = {Peng, Kuan-Chuan},
  - title = {Iterative Self Knowledge Distillation --- From Pothole Classification To Fine-Grained And COVID Recognition},
  - booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
  - year = 2022,
  - editor = {Gan, W.-S. and Ma, K. K.},
  - pages = {3139--3143},
  - month = apr,
  - publisher = {IEEE},
  - doi = {10.1109/ICASSP43922.2022.9746470},
  - issn = {1520-6149},
  - isbn = {978-1-6654-0541-6},
  - url = {https://www.merl.com/publications/TR2022-020}
  - }
- Ke, L., Peng, K.-C., Lyu, S., "Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition", AAAI Conference on Artificial Intelligence, February 2022.
  BibTeX TR2022-015 PDF Presentation
  - @inproceedings{Ke2022feb,
  - author = {Ke, Lipeng and Peng, Kuan-Chuan and Lyu, Siwei},
  - title = {Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition},
  - booktitle = {AAAI Conference on Artificial Intelligence},
  - year = 2022,
  - month = feb,
  - url = {https://www.merl.com/publications/TR2022-015}
  - }
Other Publications
- Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng, Ziyan Wu and Rama Chellappa, "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
  - }
- Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst and Yun Fu, "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}
  - }
- Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh, Bo Liu and Dimitris N. Metaxas, "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
  - }
- Yunye Gong, Srikrishna Karanam, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst and Peter C. Doerschuk, "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
  - }
- Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst and Yun Fu, "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
  - }
- Kuan-Chuan Peng, Ziyan Wu and Jan Ernst, "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
  - }
- Kuan-Chuan Peng, Tsuhan Chen, Amir Sadovnik and Andrew C. Gallagher, "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
  - }
- Kuan-Chuan Peng and Tsuhan Chen, "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
  - }
- Kuan-Chuan Peng, Tsuhan Chen, Amir Sadovnik and Andrew C. Gallagher, "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
  - }
- Kuan-Chuan Peng and Tsuhan Chen, "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
  - }
- Kuan-Chuan Peng and Tsuhan Chen, "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
  - }
- Kuan-Chuan Peng, Kolbeinn Karlsson, Tsuhan Chen, Dongqing Zhang and Hong Heather Yu, "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
  - }
- Kuan-Chuan Peng and Tsuhan Chen, "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
  - }
Software Downloads
- SOurce-free Cross-modal KnowledgE Transfer

Mitsubishi Electric | Changes for the Better MERL - Mitsubishi Electric Research Laboratories

Kuan-Chuan Peng

Position:

Education:

Research Areas:

External Links:

Kuan-Chuan's Quick Links

Biography

Recent News & Events

Research Highlights

Robust Machine Learning

MERL Publications

Other Publications

Software Downloads

SOurce-free Cross-modal KnowledgE Transfer