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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
695*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
6132019
Attention guided anomaly localization in images
S Venkataramanan, KC Peng, RV Singh, A Mahalanobis
European Conference on Computer Vision, 485-503, 2020
2772020
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
2742015
Zero-Shot Deep Domain Adaptation
KC Peng, Z Wu, J Ernst
European Conference on Computer Vision (ECCV), 2018
1042018
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
1012016
Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition
L Ke, KC Peng, S Lyu
The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), 2022
512022
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
442015
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
412019
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
392015
Cross-Domain Video Anomaly Detection without Target Domain Adaptation
A Aich, KC Peng, AK Roy-Chowdhury
IEEE Winter Conference on Applications of Computer Vision (WACV), 2023
362023
Are Deep Neural Networks SMARTer than Second Graders?
A Cherian, KC Peng, S Lohit, K Smith, JB Tenenbaum
Computer Vision and Pattern Recognition (CVPR), 2023 IEEE Conference on, 2023
282023
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
262016
Cross-Modal Knowledge Transfer without Task-Relevant Source Data
SM Ahmed, S Lohit, KC Peng, M Jones, AK Roy-Chowdhury
European Conference on Computer Vision (ECCV), 2022
172022
Domain adaptation and fusion using weakly supervised target-irrelevant data
Z Wu, K Peng, J Ernst
US Patent App. 15/720,424, 2018
172018
Zero-shot deep domain adaptation with common representation learning
M Kutbi, KC Peng, Z Wu
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (7), 3909-3924, 2021
162021
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
162018
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
162014
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
112018
Emotion modification for image and video content
K Peng, HH Yu, D Zhang, T Chen
US Patent 9,679,380, 2017
72017
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