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ORCIDEdwin R. Hancock
Edwin Robert Hancock
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- affiliation: University of York, UK
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2020 – today
- 2024
[j220]Lixin Cui, Ming Li, Lu Bai, Yue Wang, Jing Li, Yanchao Wang, Zhao Li, Yunwen Chen, Edwin R. Hancock
:
QBER: Quantum-based Entropic Representations for un-attributed graphs. Pattern Recognit. 145: 109877 (2024)- [j219]Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock:
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. IEEE Trans. Knowl. Data Eng. 36(2): 475-489 (2024) - [j218]Lixin Cui, Lu Bai, Xiao Bai, Yue Wang, Edwin R. Hancock:
Learning Aligned Vertex Convolutional Networks for Graph Classification. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4423-4437 (2024) - [j217]Xing Ai, Chengyu Sun, Zhihong Zhang, Edwin R. Hancock:
Two-Level Graph Neural Network. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4593-4606 (2024) - [c607]Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock:
QBMK: Quantum-based Matching Kernels for Un-attributed Graphs. ICML 2024 - [e21]Gian Luca Foresti, Andrea Fusiello, Edwin R. Hancock:
Image Analysis and Processing - ICIAP 2023 Workshops - Udine, Italy, September 11-15, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14365, Springer 2024, ISBN 978-3-031-51022-9 [contents] - [e20]Gian Luca Foresti, Andrea Fusiello, Edwin R. Hancock:
Image Analysis and Processing - ICIAP 2023 Workshops - Udine, Italy, September 11-15, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14366, Springer 2024, ISBN 978-3-031-51025-0 [contents] - [i33]Feifei Qian, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock:
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification. CoRR abs/2403.16130 (2024) - [i32]Zhuo Xu, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock:
SSHPool: The Separated Subgraph-based Hierarchical Pooling. CoRR abs/2403.16133 (2024) - [i31]Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma, Lixin Cui, Edwin R. Hancock:
Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System. CoRR abs/2403.16227 (2024) - [i30]Zhehan Zhao, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Lixiang Xu, Edwin R. Hancock:
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks. CoRR abs/2405.10218 (2024) - [i29]Zhuo Xu, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock:
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning. CoRR abs/2405.14742 (2024) - 2023
- [j216]Jianjia Wang, Edwin R. Hancock:
Statistical structural inference from edge weights using a mixture of gamma distributions. J. Complex Networks 11(5) (2023) - [j215]Lei Zhou, Yang Liu, Pengcheng Zhang, Xiao Bai, Lin Gu, Jun Zhou, Yazhou Yao, Tatsuya Harada, Jin Zheng, Edwin R. Hancock:
Information bottleneck and selective noise supervision for zero-shot learning. Mach. Learn. 112(7): 2239-2261 (2023) - [j214]Dongdong Chen, Yuxing Dai, Lichi Zhang, Zhihong Zhang, Edwin R. Hancock:
Position-aware and structure embedding networks for deep graph matching. Pattern Recognit. 136: 109242 (2023) - [j213]Lei Zhou, Yang Liu, Xiao Bai, Na Li, Xiaohan Yu, Jun Zhou, Edwin R. Hancock:
Attribute subspaces for zero-shot learning. Pattern Recognit. 144: 109869 (2023) - [j212]Xuexin Xu, Liang Shi, Xunquan Chen, Pingyuan Lin, Jie Lian, Jinhui Chen, Zhihong Zhang, Edwin R. Hancock:
Any-to-Any Voice Conversion With Multi-Layer Speaker Adaptation and Content Supervision. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3431-3445 (2023) - [j211]Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, Dacheng Tao, Edwin R. Hancock:
Regionwise Generative Adversarial Image Inpainting for Large Missing Areas. IEEE Trans. Cybern. 53(8): 5226-5239 (2023) - [j210]Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock:
Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation. IEEE Trans. Knowl. Data Eng. 35(2): 1747-1760 (2023) - [j209]Xunquan Chen, Xuexin Xu, Jinhui Chen, Zhihong Zhang, Tetsuya Takiguchi, Edwin R. Hancock:
Speaker-Independent Emotional Voice Conversion via Disentangled Representations. IEEE Trans. Multim. 25: 7480-7493 (2023) - [j208]Zhihong Zhang, Dongdong Chen, Lu Bai, Jianjia Wang, Edwin R. Hancock:
Graph Motif Entropy for Understanding Time-Evolving Networks. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1651-1665 (2023) - [j207]Lu Bai, Lixin Cui, Zhihong Zhang, Lixiang Xu, Yue Wang, Edwin R. Hancock:
Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1808-1822 (2023) - [c606]Rongji Ye, Lixin Cui, Luca Rossi, Yue Wang, Zhuo Xu, Lu Bai, Edwin R. Hancock:
C2N-ABDP: Cluster-to-Node Attention-Based Differentiable Pooling. GbRPR 2023: 70-80 - [c605]Qiyao Huang, Yingyue Zhang, Zhihong Zhang, Edwin R. Hancock:
ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy. NeurIPS 2023 - [e19]Gian Luca Foresti, Andrea Fusiello, Edwin R. Hancock:
Image Analysis and Processing - ICIAP 2023 - 22nd International Conference, ICIAP 2023, Udine, Italy, September 11-15, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14233, Springer 2023, ISBN 978-3-031-43147-0 [contents] - [e18]Gian Luca Foresti, Andrea Fusiello, Edwin R. Hancock:
Image Analysis and Processing - ICIAP 2023 - 22nd International Conference, ICIAP 2023, Udine, Italy, September 11-15, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14234, Springer 2023, ISBN 978-3-031-43152-4 [contents] - [i28]Shuo Yu, Ciyuan Peng, Yingbo Wang, Ahsan Shehzad, Feng Xia, Edwin R. Hancock:
Quantum Graph Learning: Frontiers and Outlook. CoRR abs/2302.00892 (2023) - [i27]Lixin Cui, Ming Li, Yue Wang, Lu Bai, Edwin R. Hancock:
AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks. CoRR abs/2303.03396 (2023) - [i26]Chengyu Sun, Xing Ai, Zhihong Zhang, Edwin R. Hancock:
Labeled Subgraph Entropy Kernel. CoRR abs/2303.13543 (2023) - [i25]Ahmed Begga, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters. CoRR abs/2306.16976 (2023) - [i24]Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma, Edwin R. Hancock:
Graph Representation Learning for Infrared and Visible Image Fusion. CoRR abs/2311.00291 (2023) - 2022
- [j206]William A. P. Smith, Paulina Lewinska, M. A. Cooper, Edwin R. Hancock, Julian A. Dowdeswell, David M. Rippin:
Structure-From-Motion With Varying Principal Point. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j205]Lu Bai, Lixin Cui, Yuhang Jiao, Luca Rossi, Edwin R. Hancock:
Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 783-798 (2022) - [j204]Silvia Tozza, Dizhong Zhu, William A. P. Smith, Ravi Ramamoorthi, Edwin R. Hancock:
Uncalibrated, Two Source Photo-Polarimetric Stereo. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5747-5760 (2022) - [j203]Chen Wang, Xiang Wang, Jiawei Zhang, Liang Zhang, Xiao Bai, Xin Ning, Jun Zhou, Edwin R. Hancock:
Uncertainty estimation for stereo matching based on evidential deep learning. Pattern Recognit. 124: 108498 (2022) - [j202]Xingchen Guo, Xuexin Xu, Xunquan Chen, Jinhui Chen, Rong Jia, Zhihong Zhang, Tetsuya Takiguchi, Edwin R. Hancock:
Direction of arrival estimation for indoor environments based on acoustic composition model with a single microphone. Pattern Recognit. 129: 108715 (2022) - [c604]Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock:
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. CVPR 2022: 12991-13001 - [c603]Yang Liu, Lei Zhou, Pengcheng Zhang, Xiao Bai, Lin Gu, Xiaohan Yu, Jun Zhou, Edwin R. Hancock:
Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification. ECCV (24) 2022: 57-73 - [c602]Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock:
Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract). ICDE 2022: 3132-3133 - [c601]Lu Bai, Lixin Cui, Edwin R. Hancock:
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs. ICML 2022: 1327-1336 - [c600]Jianjia Wang, Xin Zhao, Chong Wu, Edwin R. Hancock:
Inferring Edges from Weights in the Debye Model. ICPR 2022: 3845-3850 - [i23]Xing Ai, Chengyu Sun, Zhihong Zhang, Edwin R. Hancock:
Two-level Graph Neural Network. CoRR abs/2201.01190 (2022) - [i22]Xing Ai, Zhihong Zhang, Luzhe Sun, Junchi Yan, Edwin R. Hancock:
Decompositional Quantum Graph Neural Network. CoRR abs/2201.05158 (2022) - [i21]Yehui Tang, Junchi Yan, Edwin R. Hancock:
From Quantum Graph Computing to Quantum Graph Learning: A Survey. CoRR abs/2202.09506 (2022) - [i20]Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock:
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. CoRR abs/2203.10887 (2022) - [i19]Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock:
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. CoRR abs/2206.07472 (2022) - [i18]Lu Bai, Lixin Cui, Yue Wang, Ming Li, Edwin R. Hancock:
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. CoRR abs/2211.02904 (2022) - [i17]Lu Bai, Lixin Cui, Edwin R. Hancock:
QESK: Quantum-based Entropic Subtree Kernels for Graph Classification. CoRR abs/2212.05228 (2022) - 2021
- [j201]Haixia Xu, Yunjia Huang, Edwin R. Hancock, Shuailong Wang, Qijun Xuan, Wei Zhou:
Pooling Attention-based Encoder-Decoder Network for semantic segmentation. Comput. Electr. Eng. 93: 107260 (2021) - [j200]Jianjia Wang, Xichen Wu, Mingrui Li, Hui Wu, Edwin R. Hancock:
Erratum: Wang, J., et al. Microcanonical and Canonical Ensembles for fMRI Brain Networks in Alzheimer's Disease. Entropy 2021, 23, 216. Entropy 23(4): 438 (2021) - [j199]Lixin Cui, Lu Bai, Yanchao Wang, Xin Jin, Edwin R. Hancock:
Internet financing credit risk evaluation using multiple structural interacting elastic net feature selection. Pattern Recognit. 114: 107835 (2021) - [j198]Dongdong Chen, Xingchen Guo, Jianjia Wang, Jiatong Liu, Zhihong Zhang, Edwin R. Hancock:
Thermodynamic motif analysis for directed stock market networks. Pattern Recognit. 114: 107872 (2021) - [j197]Jinhui Chen, Ryoichi Takashima, Xingchen Guo, Zhihong Zhang, Xuexin Xu, Tetsuya Takiguchi, Edwin R. Hancock:
Multimodal fusion for indoor sound source localization. Pattern Recognit. 115: 107906 (2021) - [j196]Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Network edge entropy decomposition with spin statistics. Pattern Recognit. 118: 108040 (2021) - [j195]Lixin Cui, Lu Bai, Yue Wang, Philip S. Yu, Edwin R. Hancock:
Fused lasso for feature selection using structural information. Pattern Recognit. 119: 108058 (2021) - [j194]Jianjia Wang, Xingchen Guo, Weimin Li, Xing Wu, Zhihong Zhang, Edwin R. Hancock:
Statistical mechanical analysis for unweighted and weighted stock market networks. Pattern Recognit. 120: 108123 (2021) - [j193]Miguel Angel Lozano, Francisco Escolano, Manuel Curado, Edwin R. Hancock:
Network embedding from the line graph: Random walkers and boosted classification. Pattern Recognit. Lett. 143: 36-42 (2021) - [j192]Zhihong Zhang, Ruiyang Liang, Xu Chen, Xuexin Xu, Guosheng Hu, Wangmeng Zuo, Edwin R. Hancock:
Semi-Supervised Face Frontalization in the Wild. IEEE Trans. Inf. Forensics Secur. 16: 909-922 (2021) - [c599]Xuexin Xu, Liang Shi, Jinhui Chen, Xunquan Chen, Jie Lian, Pingyuan Lin, Zhihong Zhang, Edwin R. Hancock:
Two-Pathway Style Embedding for Arbitrary Voice Conversion. Interspeech 2021: 1364-1368 - 2020
- [j191]Giorgia Minello, Andrea Torsello, Edwin R. Hancock:
Open system quantum thermodynamics of time-varying graphs. J. Complex Networks 8(1) (2020) - [j190]Furqan Aziz, Edwin R. Hancock, Richard C. Wilson, Ernesto Estrada:
Network entropy using edge-based information functionals. J. Complex Networks 8(3) (2020) - [j189]Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Early Detection of Alzheimer's Disease: Detecting Asymmetries with a Return Random Walk Link Predictor. Entropy 22(4): 465 (2020) - [j188]Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Seeking affinity structure: Strategies for improving m-best graph matching. Inf. Sci. 509: 164-182 (2020) - [j187]Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou, Edwin R. Hancock:
Learning binary code for fast nearest subspace search. Pattern Recognit. 98 (2020) - [j186]Zhihong Zhang, Yangbin Zeng, Lu Bai, Yiqun Hu, Meihong Wu, Shuai Wang, Edwin R. Hancock:
Spectral bounding: Strictly satisfying the 1-Lipschitz property for generative adversarial networks. Pattern Recognit. 105: 107179 (2020) - [j185]Xiao Bai, Edwin R. Hancock, Richard C. Wilson, Tin Kam Ho:
Special issue on recent advances in statistical, structural and syntactic pattern recognition. Pattern Recognit. Lett. 131: 46-48 (2020) - [j184]Lu Bai, Lixin Cui, Luca Rossi, Lixiang Xu, Xiao Bai, Edwin R. Hancock:
Local-global nested graph kernels using nested complexity traces. Pattern Recognit. Lett. 134: 87-95 (2020) - [j183]Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Directed and undirected network evolution from Euler-Lagrange dynamics. Pattern Recognit. Lett. 134: 135-144 (2020) - [j182]Lei Zhou, Xueni Zhang, Jianbo Wang, Xiao Bai, Lei Tong, Liang Zhang, Jun Zhou, Edwin R. Hancock:
Subspace Structure Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4257-4270 (2020) - [j181]Lu Bai, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock:
A Quantum-Inspired Similarity Measure for the Analysis of Complete Weighted Graphs. IEEE Trans. Cybern. 50(3): 1264-1277 (2020) - [c598]Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu:
Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. ICPR 2020: 278-285 - [c597]Suihanjin Yu, Youmin Zhang, Chen Wang, Xiao Bai, Liang Zhang, Edwin R. Hancock:
HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving Objects. ICPR 2020: 1197-1204 - [c596]Lei Zhou, Xiao Bai, Liang Zhang, Jun Zhou, Edwin R. Hancock:
Fast Subspace Clustering Based on the Kronecker Product. ICPR 2020: 1558-1565 - [c595]Jianjia Wang, Hui Wu, Edwin R. Hancock:
Thermal Characterisation of Unweighted and Weighted Networks. ICPR 2020: 1641-1648 - [c594]Hui Wu, Jianjia Wang, Edwin R. Hancock:
fMRI Brain Networks as Statistical Mechanical Ensembles. ICPR 2020: 1694-1700 - [c593]Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock:
A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis. IJCAI 2020: 4453-4460 - [c592]Junchi Yan, Shuang Yang, Edwin R. Hancock:
Learning for Graph Matching and Related Combinatorial Optimization Problems. IJCAI 2020: 4988-4996 - [c591]Huan Li, Boyuan Wang, Lixin Cui, Lu Bai, Edwin R. Hancock:
LGL-GNN: Learning Global and Local Information for Graph Neural Networks. S+SSPR 2020: 129-138 - [c590]Boyuan Wang, Lixin Cui, Lu Bai, Edwin R. Hancock:
Graph Transformer: Learning Better Representations for Graph Neural Networks. S+SSPR 2020: 139-149 - [c589]Haoran Zhu, Hui Wu, Jianjia Wang, Edwin R. Hancock:
Weighted Network Analysis Using the Debye Model. S+SSPR 2020: 153-163 - [c588]Lixin Cui, Lichi Zhang, Lu Bai, Yue Wang, Edwin R. Hancock:
Alzheimer's Brain Network Analysis Using Sparse Learning Feature Selection. S+SSPR 2020: 184-194 - [c587]Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
The Entropy of Graph Embeddings: A Proxy of Potential Mobility in Covid19 Outbreaks. S+SSPR 2020: 195-204 - [i16]Lu Bai, Lixin Cui, Edwin R. Hancock:
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs. CoRR abs/2002.04425 (2020) - [i15]Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu:
Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. CoRR abs/2010.06310 (2020) - [i14]Suihanjin Yu, Youmin Zhang, Chen Wang, Xiao Bai, Liang Zhang, Edwin R. Hancock:
HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving Objects. CoRR abs/2011.09654 (2020)
2010 – 2019
- 2019
- [j180]Furqan Aziz, Richard C. Wilson, Edwin R. Hancock:
A wave packet signature for complex networks. J. Complex Networks 7(3): 346-374 (2019) - [j179]Lu Bai, Lixin Cui, Xiao Bai, Edwin R. Hancock:
Deep depth-based representations of graphs through deep learning networks. Neurocomputing 336: 3-12 (2019) - [j178]Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock:
Identifying the most informative features using a structurally interacting elastic net. Neurocomputing 336: 13-26 (2019) - [j177]Cheng Yan, Xiao Bai, Shuai Wang, Jun Zhou, Edwin R. Hancock:
Cross-modal hashing with semantic deep embedding. Neurocomputing 337: 58-66 (2019) - [j176]Zhihong Zhang, Dongdong Chen, Jianjia Wang, Lu Bai, Edwin R. Hancock:
Quantum-based subgraph convolutional neural networks. Pattern Recognit. 88: 38-49 (2019) - [j175]Zhihong Zhang, Dongdong Chen, Zeli Wang, Heng Li, Lu Bai, Edwin R. Hancock:
Depth-based subgraph convolutional auto-encoder for network representation learning. Pattern Recognit. 90: 363-376 (2019) - [j174]Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Dirichlet densifiers for improved commute times estimation. Pattern Recognit. 91: 56-68 (2019) - [j173]Zhihong Zhang, Chen Xu, Zhonghao Zhang, Guo Chen, Yide Cai, Zeli Wang, Heng Li, Edwin R. Hancock:
Single image super resolution via neighbor reconstruction. Pattern Recognit. Lett. 125: 157-165 (2019) - [j172]Zhihong Zhang, Genzhou Zhang, Zhonghao Zhang, Guo Chen, Yangbin Zeng, Beizhan Wang, Edwin R. Hancock:
Structural network inference from time-series data using a generative model and transfer entropy. Pattern Recognit. Lett. 125: 357-363 (2019) - [j171]Manuel Curado, Miguel Angel Lozano, Francisco Escolano, Edwin R. Hancock:
Dirichlet densifier bounds: Densifying beyond the spectral gap constraint. Pattern Recognit. Lett. 125: 425-431 (2019) - [j170]Xueni Zhang, Lei Zhou, Xiao Bai, Xiushu Luan, Jie Luo, Edwin R. Hancock:
Deep supervised hashing using symmetric relative entropy. Pattern Recognit. Lett. 125: 677-683 (2019) - [j169]Haixia Xu, Edwin R. Hancock, Wei Zhou:
The low-rank decomposition of correlation-enhanced superpixels for video segmentation. Soft Comput. 23(24): 13055-13065 (2019) - [j168]Zhihong Zhang, Xu Chen, Beizhan Wang, Guosheng Hu, Wangmeng Zuo, Edwin R. Hancock:
Face Frontalization Using an Appearance-Flow-Based Convolutional Neural Network. IEEE Trans. Image Process. 28(5): 2187-2199 (2019) - [j167]Jinhui Chen, Zhaojie Luo, Zhihong Zhang, Faliang Huang, Zhiling Ye, Tetsuya Takiguchi, Edwin R. Hancock:
Polar Transformation on Image Features for Orientation-Invariant Representations. IEEE Trans. Multim. 21(2): 300-313 (2019) - [c586]Xin Wang, Xiang Wang, Chen Wang, Xiao Bai, Jing Wu, Edwin Robert Hancock:
Discriminative Features Matter: Multi-layer Bilinear Pooling for Camera Localization. BMVC 2019: 87 - [c585]Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Graph Edge Entropy in Maxwell-Boltzmann Statistics for Alzheimer's Disease Analysis. GbRPR 2019: 56-66 - [c584]Ibrahim Caglar, Edwin R. Hancock:
Network Time Series Analysis Using Transfer Entropy. GbRPR 2019: 194-203 - [c583]Miguel Angel Lozano, Manuel Curado, Francisco Escolano, Edwin R. Hancock:
Network Embedding by Walking on the Line Graph. GbRPR 2019: 215-225 - [c582]Lei Zhou, Xiao Bai, Dong Wang, Xianglong Liu, Jun Zhou, Edwin R. Hancock:
Latent Distribution Preserving Deep Subspace Clustering. IJCAI 2019: 4440-4446 - [c581]Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin R. Hancock:
Deep Hashing by Discriminating Hard Examples. ACM Multimedia 2019: 1535-1542 - [c580]Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock:
Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. ECML/PKDD (1) 2019: 464-482 - [i13]Lu Bai, Lixin Cui, Shu Wu, Yuhang Jiao, Edwin R. Hancock:
Learning Vertex Convolutional Networks for Graph Classification. CoRR abs/1902.09936 (2019) - [i12]