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Kailing Guo
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2020 – today
- 2024
- [j9]Zhaojie Chu, Kailing Guo, Xiaofen Xing, Yilin Lan, Bolun Cai, Xiangmin Xu:
CorrTalk: Correlation Between Hierarchical Speech and Facial Activity Variances for 3D Animation. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8953-8965 (2024) - [c16]Yin Huang, Ziyang Zhang, Kailing Guo, Xiangmin Xu:
SCC-Conv: A Novel Convolution with Spatial-Channel Cheap Operation for Single Image Super-Resolution. ICMLC 2024: 321-326 - [c15]Yizhang Yang, Jianxiu Jin, Ying Huang, Kailing Guo, Xiangmin Xu:
Reference-based Video Colorization with AB Chrominance Point and Temporal Propagation. ICMLC 2024: 340-346 - [c14]Chang Mu, Ziyang Zhang, Xiang Tian, Kailing Guo, Xiangmin Xu:
Local Reactivation for Communication Efficient Federated Learning Based on Sparse Gradient Deviation. PRCV (4) 2024: 496-510 - [i8]Longkun Zou, Wanru Zhu, Ke Chen, Lihua Guo, Kailing Guo, Kui Jia, Yaowei Wang:
Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers. CoRR abs/2407.18534 (2024) - 2023
- [j8]Ziyang Zhang, Xiang Tian, Yuan Zhang, Kailing Guo, Xiangmin Xu:
Enhanced discriminative global-local feature learning with priority for facial expression recognition. Inf. Sci. 630: 370-384 (2023) - [j7]Lin Wang, Xiangmin Xu, Kailing Guo, Bolun Cai, Fang Liu:
Reflective Learning With Label Noise. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3343-3357 (2023) - [c13]Yicai Yang, Xiaofen Xing, Ming Chen, Kailing Guo, Xiangmin Xu, Fang Liu:
Cross Range Quantization for Network Compression. IJCNN 2023: 1-9 - [i7]Pucheng Zhai, Kailing Guo, Fang Liu, Xiaofen Xing, Xiangmin Xu:
LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch. CoRR abs/2309.14157 (2023) - [i6]Kaijun Gong, Zhuowen Yin, Yushu Li, Kailing Guo, Xiangmin Xu:
Dynamic Shuffle: An Efficient Channel Mixture Method. CoRR abs/2310.02776 (2023) - [i5]Zhaojie Chu, Kailing Guo, Xiaofen Xing, Yilin Lan, Bolun Cai, Xiangmin Xu:
CorrTalk: Correlation Between Hierarchical Speech and Facial Activity Variances for 3D Animation. CoRR abs/2310.11295 (2023) - 2022
- [j6]Fang Liu, Xiangmin Xu, Xiaofen Xing, Kailing Guo, Lin Wang:
Simple-action-guided dictionary learning for complex action recognition. Neurocomputing 501: 387-396 (2022) - [i4]Kailing Guo, Zhenquan Lin, Xiaofen Xing, Fang Liu, Xiangmin Xu:
Compact Model Training by Low-Rank Projection with Energy Transfer. CoRR abs/2204.05566 (2022) - 2021
- [c12]Fang Liu, Feifei Qi, Xiaofen Xing, Kailing Guo:
Simple to complex dictionary learning for action recognition. ACAI 2021: 84:1-84:5 - [c11]Yucheng Cai, Zhuowen Yin, Kailing Guo, Xiangmin Xu:
Pruning the Unimportant or Redundant Filters? Synergy Makes Better. IJCNN 2021: 1-8 - [c10]Zhenquan Lin, Kailing Guo, Xiaofen Xing, Xiangmin Xu:
Weight Evolution: Improving Deep Neural Networks Training through Evolving Inferior Weight Values. ACM Multimedia 2021: 2176-2184 - [i3]Zhenquan Lin, Kailing Guo, Xiaofen Xing, Xiangmin Xu:
Weight Evolution: Improving Deep Neural Networks Training through Evolving Inferior Weight Values. CoRR abs/2110.04492 (2021) - 2020
- [j5]Fang Liu, Xiangmin Xu, Tong Zhang, Kailing Guo, Lin Wang:
Exploring privileged information from simple actions for complex action recognition. Neurocomputing 380: 236-245 (2020)
2010 – 2019
- 2019
- [j4]Kailing Guo, Xiaona Xie, Xiangmin Xu, Xiaofen Xing:
Compressing by Learning in a Low-Rank and Sparse Decomposition Form. IEEE Access 7: 150823-150832 (2019) - [j3]Kailing Guo, Tong Zhang, Xiangmin Xu, Xiaofen Xing:
Low-Rank Tensor Thresholding Ridge Regression. IEEE Access 7: 153761-153772 (2019) - 2018
- [j2]Kailing Guo, Liu Liu, Xiangmin Xu, Dong Xu, Dacheng Tao:
GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2323-2336 (2018) - [c9]Haoyu Li, Xiangmin Xu, Bolun Cai, Kailing Guo, Xiaofen Xing:
Style Transfer at 100+ FPS Via Sub-Pixel Super-Resolution. ICME Workshops 2018: 1-6 - [c8]Jiangfeng Xiong, Xiangmin Xu, Bolun Cai, Xiaofen Xing, Kailing Guo:
Learning Adaptive Selection Network for Real-Time Visual Tracking. ICME 2018: 1-6 - [c7]Kailing Guo, Xiangmin Xu, Lin Wang, Bolun Cai:
Visual Sentiment Analysis with Noisy Labels by Reweighting Loss. SMC 2018: 1873-1878 - 2017
- [j1]Kailing Guo, Xiangmin Xu, Dacheng Tao:
Discriminative GoDec+ for Classification. IEEE Trans. Signal Process. 65(13): 3414-3429 (2017) - [c6]Bolun Cai, Xianming Xu, Kailing Guo, Kui Jia, Bin Hu, Dacheng Tao:
A Joint Intrinsic-Extrinsic Prior Model for Retinex. ICCV 2017: 4020-4029 - [c5]Kailing Guo, Xiangmin Xu, Bolun Cai, Tong Zhang:
Joint Latent Space and Multi-view Feature Learning. ICIMCS 2017: 23-31 - [c4]Xiaoyi Jia, Xiangmin Xu, Bolun Cai, Kailing Guo:
Single Image Super-Resolution Using Multi-scale Convolutional Neural Network. PCM (1) 2017: 149-157 - [i2]Xiaoyi Jia, Xiangmin Xu, Bolun Cai, Kailing Guo:
Single Image Super-Resolution Using Multi-Scale Convolutional Neural Network. CoRR abs/1705.05084 (2017) - [i1]Bolun Cai, Xiangmin Xu, Kailing Guo, Kui Jia, Dacheng Tao:
Learning Reduced-Resolution and Super-Resolution Networks in Synch. CoRR abs/1712.00926 (2017) - 2016
- [c3]Xiaofen Xing, Nanhai Zhang, Kailing Guo, Chunmei Qing, Jiali Deng, Huiping Qin:
Blurred target tracking based on sparse representation of online updated templates. CSNDSP 2016: 1-4 - 2015
- [c2]Kailing Guo, Ying Wang, Xuesong Qiu, Wenjing Li, Ailing Xiao:
Particle swarm optimization based multi-domain virtual network embedding. IM 2015: 798-801 - 2013
- [c1]Kailing Guo, Xiangmin Xu, Fuhao Qiu, Jiayong Chen:
A novel incremental weighted PCA algorithm for visual tracking. ICIP 2013: 3914-3918
Coauthor Index
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last updated on 2024-11-25 23:42 CET by the dblp team
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