| 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 | 601* | 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 | 509 | 2019 |
| 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 | 245 | 2015 |
| Attention guided anomaly localization in images S Venkataramanan, KC Peng, RV Singh, A Mahalanobis European Conference on Computer Vision, 485-503, 2020 | 240 | 2020 |
| Zero-Shot Deep Domain Adaptation KC Peng, Z Wu, J Ernst European Conference on Computer Vision (ECCV), 2018 | 96 | 2018 |
| 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 | 92 | 2016 |
| 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 | 61 | 2019 |
| 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 | 42 | 2015 |
| 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 | 39 | 2019 |
| 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 | 36 | 2022 |
| 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 | 35 | 2015 |
| 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 | 25 | 2016 |
| 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 | 19 | 2023 |
| 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 | 16 | 2023 |
| 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 | 16 | 2022 |
| Domain adaptation and fusion using weakly supervised target-irrelevant data Z Wu, K Peng, J Ernst US Patent App. 15/720,424, 2018 | 16 | 2018 |
| 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 | 16 | 2018 |
| 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 | 15 | 2014 |
| 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 | 12 | 2021 |
| 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 | 10 | 2018 |
Ziyan WuUII America, Inc.在 rpi.edu 的电子邮件经过验证
