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Kuan-Chuan Peng
Kuan-Chuan Peng
Mitsubishi Electric Research Laboratories (MERL) | IEEE Senior Member
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
Tell Me Where to Look: Guided Attention Inference Network
YF Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst
Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on, 2018
359*2018
Learning without memorizing
P Dhar, RV Singh, KC Peng, Z Wu, R Chellappa
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
1882019
A Mixed Bag of Emotions: Model, Predict, and Transfer Emotion Distributions
KC Peng, A Sadovnik, A Gallagher, T Chen
Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on, 860-868, 2015
1612015
Attention guided anomaly localization in images
S Venkataramanan, KC Peng, RV Singh, A Mahalanobis
European Conference on Computer Vision, 485-503, 2020
982020
Where Do Emotions Come from? Predicting the Emotion Stimuli Map
KC Peng, A Sadovnik, A Gallagher, T Chen
International Conference on Image Processing (ICIP), 614-618, 2016
642016
Zero-Shot Deep Domain Adaptation
KC Peng, Z Wu, J Ernst
European Conference on Computer Vision (ECCV), 2018
582018
Cross-layer features in convolutional neural networks for generic classification tasks
KC Peng, T Chen
Image Processing (ICIP), 2015 IEEE International Conference on, 3057-3061, 2015
382015
Guided attention inference network
K Li, Z Wu, KC Peng, J Ernst, Y Fu
IEEE transactions on pattern analysis and machine intelligence 42 (12), 2996 …, 2019
362019
A framework of extracting multi-scale features using multiple convolutional neural networks
KC Peng, T Chen
Multimedia & Expo (ICME), 2015 IEEE International Conference on, 1-6, 2015
322015
Sharpen focus: Learning with attention separability and consistency
L Wang, Z Wu, S Karanam, KC Peng, RV Singh, B Liu, DN Metaxas
Proceedings of the IEEE/CVF International Conference on Computer Vision, 512-521, 2019
232019
Toward Correlating and Solving Abstract Tasks Using Convolutional Neural Networks
KC Peng, T Chen
IEEE Winter Conference on Applications of Computer Vision (WACV), 1-9, 2016
232016
Learning Compositional Visual Concepts with Mutual Consistency
Y Gong, S Karanam, Z Wu, KC Peng, J Ernst, PC Doerschuk
Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on, 2018
142018
A framework of changing image emotion using emotion prediction
KC Peng, K Karlsson, T Chen, DQ Zhang, H Yu
2014 IEEE International Conference on Image Processing (ICIP), 4637-4641, 2014
132014
Training an rgb-d classifier with only depth data and privileged information
K Peng, Z Wu, J Ernst
US Patent App. 15/719,762, 2018
52018
Incorporating cloud distribution in sky representation
KC Peng, T Chen
Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 2013
52013
Domain adaptation and fusion using weakly supervised target-irrelevant data
Z Wu, K Peng, J Ernst
US Patent App. 15/720,424, 2018
42018
Zero-shot deep domain adaptation with common representation learning
M Kutbi, KC Peng, Z Wu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
32021
Semi-supervised iterative keypoint and viewpoint invariant feature learning for visual recognition
S Karanam, Z Wu, K Peng, J Ernst
US Patent App. 16/623,558, 2021
12021
Domain adaptation and fusion using weakly supervised target-irrelevant data
Z Wu, K Peng, J Ernst
US Patent App. 16/611,297, 2020
12020
Statement of Peer review
KC Peng, Z Wu
Computer Sciences & Mathematics Forum 3 (1), 12, 2022
2022
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