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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Recent News & Events
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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 Jones; Toshiaki Koike-Akino; Tim Marks; Kuan-Chuan Peng; Ye Wang
Research Areas: Artificial Intelligence, Computer Vision, Machine LearningBrief- 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.
- 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.
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Internships with Kuan-Chuan
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CV1540: 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 learning, multi-model or multi-modal fusion or distillation under limited data, 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 ideally to be at least 3 months with a flexible start date. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.
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MERL Publications
- "ViewSynth: Learning Local Features from Depth Using View Synthesis", British Machine Vision Conference (BMVC), September 2020.BibTeX
- @inproceedings{Mahmud2020sep,
- author = {Mahmud, Jisan and Singh, Rajat V. and Akiva, Peri and Kundu, Spondon and Kuan-Chuan, Peng and Frahm, Jan-Michael},
- title = {ViewSynth: Learning Local Features from Depth Using View Synthesis},
- booktitle = {British Machine Vision Conference (BMVC)},
- year = 2020,
- month = sep
- }
, - "Attention Guided Anomaly Localization in Images", European Conference on Computer Vision (ECCV), Vedaldi, A., Bischof, H., Brox, T., and Frahm J.-M., Eds., DOI: 10.1007/978-3-030-58520-4_29, August 2020, pp. 485-503.BibTeX External
- @inproceedings{Venkataramanan2020aug,
- author = {Venkataramanan, Shashanka and Kuan-Chuan, Peng and Singh, Rajat, V. and Mahalanobis, Abhijit},
- title = {Attention Guided Anomaly Localization in Images},
- booktitle = {European Conference on Computer Vision (ECCV)},
- year = 2020,
- editor = {Vedaldi, A., Bischof, H., Brox, T., and Frahm J.-M.},
- pages = {485--503},
- month = aug,
- publisher = {Springer, Cham},
- doi = {10.1007/978-3-030-58520-4_29},
- isbn = {978-3-030-58519-8},
- url = {https://link.springer.com/chapter/10.1007/978-3-030-58520-4_29}
- }
, - "Attention Guided Anomaly Localization in Images", European Conference on Computer Vision (ECCV), Vedaldi, A., Bischof, H., Brox, T., and Frahm J.-M., Eds., DOI: 10.1007/978-3-030-58520-4_29, August 2020, pp. 485-503.BibTeX External
- @inproceedings{Venkataramanan2020aug2,
- author = {Venkataramanan, Shashanka and Kuan-Chuan, Peng and Singh, Rajat, V. and Mahalanobis, Abhijit},
- title = {Attention Guided Anomaly Localization in Images},
- booktitle = {European Conference on Computer Vision (ECCV)},
- year = 2020,
- editor = {Vedaldi, A., Bischof, H., Brox, T., and Frahm J.-M.},
- pages = {485--503},
- month = aug,
- publisher = {Springer, Cham},
- doi = {10.1007/978-3-030-58520-4_29},
- isbn = {978-3-030-58519-8},
- url = {https://link.springer.com/chapter/10.1007/978-3-030-58520-4_29}
- }
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- "ViewSynth: Learning Local Features from Depth Using View Synthesis", British Machine Vision Conference (BMVC), September 2020.
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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
- }
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- "Learning without Memorizing", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.