Kunpeng Li
Kunpeng Li
Verified email at coe.neu.edu - Homepage
Title
Cited by
Cited by
Year
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
Y Zhang, K Li, K Li, L Wang, B Zhong, Y Fu
European Conference on Computer Vision (ECCV), 2018, 2018
11082018
Tell Me Where to Look: Guided Attention Inference Network
K Li, Z Wu, KC Peng, J Ernst, Y Fu
Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on, 2018
2222018
Residual non-local attention networks for image restoration
Y Zhang, K Li, K Li, B Zhong, Y Fu
International Conference on Learning Representations (ICLR), 2019
1632019
Visual Semantic Reasoning for Image-Text Matching
K Li, Y Zhang, K Li, Y Li, Y Fu
International Conference on Computer Vision (ICCV), 2019, 2019
722019
Support neighbor loss for person re-identification
K Li, Z Ding, K Li, Y Zhang, Y Fu
ACM Multimedia Conference on Multimedia Conference, 2018, 1492-1500, 2018
272018
Multi-stream deep similarity learning networks for visual tracking
K Li, Y Kong, Y Fu
International Joint Conference on Artificial Intelligence (IJCAI), 2017, 2017
192017
Adversarial Feature Hallucination Networks for Few-Shot Learning
K Li, Y Zhang, K Li, Y Fu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 13470-13479, 2020
172020
Guided Attention Inference Network
K Li, Z Wu, KC Peng, J Ernst, Y Fu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
162019
Attention bridging network for knowledge transfer
K Li, Y Zhang, K Li, Y Li, Y Fu
International Conference on Computer Vision (ICCV), 2019, 2019
132019
A new fingertip detection and tracking algorithm and its application on writing-in-the-air system
K Li, X Zhang
IEEE International Conference on Image and Signal Processing, 2014, 2014
102014
Machine learning-aided quantification of antibody-based cancer immunotherapy by natural killer cells in microfluidic droplets
S Sarkar, W Kang, S Jiang, K Li, S Ray, E Luther, AR Ivanov, Y Fu, ...
Lab on a Chip 20 (13), 2317-2327, 2020
52020
Visual object tracking via multi-stream deep similarity learning networks
K Li, Y Kong, Y Fu
IEEE Transactions on Image Processing 29, 3311-3320, 2019
52019
Skeleton Based Sign Language Recognition Using Whole-body Keypoints
S Jiang, B Sun, L Wang, Y Bai, K Li, Y Fu
arXiv preprint arXiv:2103.08833, 2021
2021
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts
K Li, Z Zhang, G Wu, X Xiong, CY Lee, Z Lu, Y Fu, T Pfister
arXiv preprint arXiv:2101.03713, 2021
2021
Weakly-supervised semantic segmentation with self-guidance
K Li, Z Wu, K Peng, J Ernst
US Patent App. 16/760,096, 2020
2020
Vehicle and Person Re-Identification With Support Neighbor Loss
K Li, Z Ding, K Li, Y Zhang, Y Fu
IEEE Transactions on Neural Networks and Learning Systems, 2020
2020
Screencast Tutorial Video Understanding
K Li, C Fang, Z Wang, S Kim, H Jin, Y Fu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
2020
Weakly-supervised semantic segmentation with self-guidance
JE Kunpeng LI, Ziyan Wu, Kuan-Chuan Peng
WO Patent WO2019089192A1, 2019
2019
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