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2020论文目录 |
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List of
Publications |
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编（专）著Books / Chapters 1.
Jun Wan, Guodong Guo, Sergio Escalera, Hugo Jair Escalante,
Stan Z. Li (Eds.), Multi-Modal Face Presentation Attack Detection, Synthesis
Lectures on Computer Vision, ISBN:9781681739229, Morgan & Claypool
Publishers, 2020. 2.
Thomas Moeslund, Sergio Escalera, Gholamreza Anbarjafari,
Kamal Nasrollahi, Jun Wan (Eds.), Statistical Machine Learning for
Human Behaviour Analysis, ISBN:978-3-03936-228-8, MDPI, 2020. 3.
Yi Li, Huaibo Huang, Ran He, Tieniu Tan, Heterogeneous Facial
Analysis and Synthesis, ISBN: 978-981-13-9148-4, Springer, 2020 国际刊物International Journals 计算机视觉Computer Vision 1.
Ruijin Chen, Wei Gao. Color-Guided Depth Map
Super-Resolution Using a Dual-Branch Multi-Scale Residual Network with
Channel Interaction. Sensors, 20(6), 1560, 2020. 2.
Wei Wang, Wei Gao, Hainan Cui, Zhanyi Hu. Reconstruction of
lines and planes of urban buildings with angle regularization. ISPRS Journal
of Photogrammetry and Remote Sensing, 165, pp 54-66, 2020. 3.
Q. Dong*, B. Liu and Z. Hu. Non-uniqueness phenomenon of
object representation in modelling IT cortex by deep convolutional neural
network (DCNN). Frontiers in Computational Neuroscience, 14:35, 2020 4.
L. Chang, L. Jin, L. Weng, W. Chao, X. Wang, X. Deng, and
Q. Dong*. Face-Sketch Learning with Human Sketch-Drawing Order Enforcement.
Science China Information Sciences, 63, 219103:1–219103:3, 2020 5.
Hainan Cui, Tianxin Shi, Jun Zhang, Pengfei Xu, Yiping
Meng, Shuhan Shen. View-graph Construction Framework for Robust and Efficient
Structure-from-Motion. Pattern Recognition, 2020. 6.
Yu Chen, Shuhan Shen, Yisong Chen, Guoping Wang.
Graph-Based Parallel Large Scale Structure from Motion. Pattern Recognition,
107: 107537, 2020. 7.
Hongmin Liu, Xincheng Tang, Shuhan Shen. Depth-map Completion
for Large Indoor Scene Reconstruction. Pattern Recognition, 99: 107112, 2020. 8.
Lingjie Zhu, Shuhan Shen, Xiang Gao, Zhanyi Hu. Urban Scene
Vectorized Modeling Based on Contour Deformation. ISPRS International Journal
of Geo-Information, 9(3), 162, 2020. 9.
Xiang Gao, Shuhan Shen, Lingjie Zhu, Tianxin Shi, Zhiheng
Wang, and Zhanyi Hu. Complete Scene Reconstruction by Merging Images and
Laser Scans. IEEE Transactions on Circuits and Systems for Video Technology,
30(10): 3688-3701, 2020. 10.
Fulin Tang, Yihong Wu, Xiaohui Hou, Haibin Ling. 3D Mapping
and 6D Pose Computation for Real Time Augmented Reality on Cylindrical
Objects. IEEE Transactions on Circuits and Systems for Video Technology, Vol.
30, Issue 9, pp. 2887-2899, 2020. 11.
Shan Zhang, Xiaoshan Yang, Yanxia Liu, Changsheng Xu,
Asymmetric multi-stage CNNs for small-scale pedestrian detection.
Neurocomputing, vol. 409, pp. 12-26, 2020 12.
Yuyang Zhang, Shibiao Xu, Baoyuan Wu, Jian Shi, Weiliang
Meng and Xiaopeng Zhang. Unsupervised Multi-view Constrained Convolutional
Network for Accurate Depth Estimation. IEEE Transactions on Image Processing.
2020, 29: 7019-7031. 13.
Wei Ma, Chaofan Gong, Shibiao Xu, Xiaopeng Zhang:
Multi-scale spatial context-based semantic edge detection. Inf. Fusion 64:
238-251 (2020) 14.
Wei Ma, Mana Zheng, Wenguang Ma, Shibiao Xu, Xiaopeng
Zhang: Learning across views for stereo image completion. IET Comput. Vis.
14(7): 482-492 (2020) 15.
Yong Zhao, Yuqi Cheng, Xishan Zhang, Shibiao Xu, Shuhui Bu,
Hongkai Jiang, Pengcheng Han, Ke Li, Gang Wan: Real-Time Orthophoto Mosaicing
on Mobile Devices for Sequential Aerial Images with Low Overlap. Remote.
Sens. 12(22): 3739 (2020) 16.
Jianbo Liu, Ying Wang, Yongcheng Liu, Shiming Xiang and
Chunhong Pan. 3D PostureNet: A unified framework for skeleton-based posture
recognition, Pattern Recognition Letters, vol. 140, pp 143-149, 2020. 17.
Xiyan Liu, Gaofeng Meng, Bin Fan, Shiming Xiang, Chunhong
Pan. Geometric rectification of document images using adversarial gated
unwarping network, Pattern Recognition, vol. 108, pp. 107576, 2020. 18.
Jin Gao, Qiang Wang, Junliang Xing, Haibin Ling, Weiming
Hu, and Stephen Maybank “Tracking-by-fusion via Gaussian process regression
extended to transfer learning,” IEEE Transactions on Pattern Analysis and
Machine Intelligence (PAMI), vol. 42, no. 4, pp. 939-955, April 2020. 19.
Weiming Hu, Xinchu Shi, Zongwei Zhou, Junliang Xing, Haibin
Ling, and Stephen Maybank, “Dual L1-normalized context aware tensor power
iteration and its applications to multi-object tracking and multi-graph
matching,” International Journal of Computer Vision (IJCV), vol. 128, no. 2,
pp. 360-392, February 2020. 20.
Weiming Hu, Jun Gao, Bing Li, Ou Wu, Junping Du, and
Stephen Maybank, “Anomaly detection using local kernel density estimation and
context-based regression,” IEEE Transactions on Knowledge and Data
Engineering (KDE), vol. 32, no. 2, pp. 218-233, February 2020. 21.
Xinwei Huang, Bing Li, Shuai Li, Wenjuan Li, Weihua Xiong,
Xuanwu Yin, Weiming Hu, and Hong Qin, “Multi-cue semi-supervised color
constancy with limited training samples,” IEEE Transactions on Image
Processing (TIP), vol. 29, pp. 7875-7888, 2020. 22.
Wenjuan Li, Bing Li, Chunfeng Yuan, Haohao Wu, Yangxi Li,
Weiming Hu, and Fangshi Wang, “Anisotropic convolution for image
classification,” IEEE Transactions on Image Processing (TIP), vol. 29, no. 1,
pp. 5584-5595, December 2020. 23.
Hao Yang, Chunfeng Yuan, Li Zhang, Yunda Sun, Weiming Hu,
Stephen J. Maybank, “STA-CNN: Convolutional spatial-temporal attention
learning for action recognition,” IEEE Transactions on Image Processing
(TIP), vol. 29, no. 1, pp. 5783-5793, December 2020. 24.
Guan Luo, Jiutong Wei, Weiming Hu, and Stephen J. Maybank,
“Tangent Fisher vector on matrix manifolds for action recognition,” IEEE
Transactions on Image Processing (TIP), vol. 29, no. 1, pp. 3052-3064, 2020. 25.
Songyan Liu, Haiyun Guo, Jian-Guo Hu, Xu Zhao, Chaoyang
Zhao, Tong Wang, Yousong Zhu, Jinqiao Wang, Ming Tang: A novel data
augmentation scheme for pedestrian detection with attribute preserving GAN.
Neurocomputing 401: 123-132 ,2020 26.
Xiang Wu, Ran He, Yibo Hu, Zhenan Sun, “Learning an
Evolutionary Embedding via Massive Knowledge Distillation,” International
Journal of Computer Vision, vol. 128, no. 8-9, pp. 2089-2106, 2020. 27.
Yi Li, Huaibo Huang, Jie Cao, Ran He, Tieniu Tan,
“Disentangled Representation Learning of Makeup Portraits in the Wild,”
International Journal of Computer Vision, vol. 128, no. 8-9, pp. 2166-2184,
2020. 28.
Qi Li, Zhenan Sun, Ran He, Tieniu Tan, “A General Framework
for Deep Supervised Discrete Hashing,” International Journal of Computer
Vision, vol. 128, no. 8-9, pp. 2204-2222, 2020. 29.
Xin Zheng, Yanqing Guo, Huaibo Huang, Yi Li, Ran He, “A
Survey of Deep Facial Attribute Analysis,” International Journal of Computer
Vision, vol. 128, no. 8-9, pp. 2002-2034, 2020. 30.
Jie Cao, Yibo Hu, Hongwen Zhang, Ran He, Zhenan Sun,
“Towards High Fidelity Face Frontalization in the Wild,” International
Journal of Computer Vision, vol. 128, no. 5, pp. 1485-1504, 2020. 31.
Wei Xue, Hong Ai, Tianyu Sun, Chunfeng Song, Yan Huang,
Liang Wang, “Frame-GAN: Increasing the frame rate of gait videos with
generative adversarial networks,” Neurocomputing, vol. 380, pp. 95-104, 2020. 图象/视频处理与分析Image/Video Processing and Analysis 32.
Xingjia Pan, Fan Tang, Weiming Dong, Yang Gu, Zhichao Song,
Yiping Meng, Pengfei Xu, Oilver Deussen, Changsheng Xu: Self-Supervised
Feature Augmentation for Large Image Object Detection. IEEE Transactions on
Image Processing 29: 6745-6758 ,2020 33.
Feifei Zhang, Tianzhu Zhang, Qirong Mao, Changsheng Xu,
“Geometry Guided Pose-Invariant Facial Expression Recognition”. IEEE Trans.
Image Process. 29: 4445-4460 ,2020 34.
Feifei Zhang, Tianzhu Zhang, Qirong Mao, Changsheng Xu, “A
Unified Deep Model for Joint Facial Expression Recognition, Face Synthesis,
and Face Alignment”. IEEE Trans. Image Process. 29: 6574-6589 ,2020 35.
Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu.
Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph
Convolutional Networks. IEEE Transactions on Image Processing (TIP), Vol.29,
pp.9532-9545, 2020 36.
Chunjie Zhang, Jian Cheng, Qi Tian. Multi-View Image
Classification with Visual, Semantic and View Consistency. IEEE Transactions
on Image Processing (TIP), Vol.29, pp.617-627, 2020 37.
Yousong Zhu, Xu Zhao, Chaoyang Zhao, Jinqiao Wang, Hanqing
Lu: Food det: Detecting foods in refrigerator with supervised transformer
network. Neurocomputing 379: 162-171 ,2020 38.
Linyu Zheng, Yingying Chen, Ming Tang, Jinqiao Wang,
Hanqing Lu: Siamese Deformable Cross-Correlation Network for Real-Time Visual
Tracking. Neurocomputing 401: 36-47 ,2020 39.
Xiaomei Zhang, Yingying Chen, Bingke Zhu, Jinqiao Wang,
Ming Tang: Semantic-spatial fusion network for human parsing. Neurocomputing
402: 375-383 ,2020 40.
Kai Niu, Yan Huang, Wanli Ouyang, Liang Wang, “Improving
Description-Based Person Re-Identification by Multi-Granularity Image-Text
Alignments,” IEEE Trans. on Image Processing, vol. 29, pp. 5542-5556, 2020. 41.
Jingyu Liu, Wei Wang, Liang Wang, Ming-Hsuan Yang,
“Attribute-Guided Attention for Referring Expression Generation and
Comprehension,” IEEE Trans. on Image Processing, vol. 29, pp. 5244-5258,
2020. 42.
Zhen Jia, Zhang Zhang, Liang Wang, Caifeng Shan, Tieniu
Tan, “Deep Unbiased Embedding Transfer for Zero-Shot Learning,” IEEE Trans.
on Image Processing, vol. 29, pp. 1958-1971, 2020. 43.
Yuqi Zhang, Yongzhen Huang, Shiqi Yu, Liang Wang,
“Cross-View Gait Recognition by Discriminative Feature Learning,” IEEE Trans.
on Image Processing, vol. 29, pp. 1001-1015, 2020. 44.
Fei Liu, Shubo Zhou, Yunlong Wang, Guangqi Hou, Zhenan Sun,
Tieniu Tan, “Binocular Light-Field: Imaging Theory and Occlusion-Robust Depth
Perception Application,” IEEE Trans. on Image Processing, vol. 29, pp.
1628-1640, 2020. 45.
Yuxi Wang, Zhaoxiang Zhang, Wangli Hao, Chunfeng Song,
“Multi-Domain Image-to-Image Translation via a Unified Circular Framework,”
IEEE Trans. on Image Processing, vol. 30, pp. 670-684, 2020. 46.
Yuxi Wang, Zhaoxiang Zhang, Wangli Hao, Chunfeng Song,
“Attention Guided Multiple Source and Target Domain Adaptation,” IEEE Trans.
on Image Processing, vol. 30, pp. 892-906, 2020. 47.
Wangli Hao, Ian Max Andolina, Wei Wang, Zhaoxiang Zhang,
“Biologically inspired visual computing: the state of the art,” Frontiers of
Computer Science, vol. 15, no. 1, 2020. 48.
Yunlong Wang, Fei Liu, Kunbo Zhang, Zilei Wang, Zhenan Sun,
Tieniu Tan, “High-fidelity View Synthesis for Light Field Imaging with
Extended Pseudo 4DCNN,” IEEE Trans. on Computational Imaging, vol. 6, pp.
830-842, 2020. 49.
Weining Wang, Qi Li, Liang Wang, “Robust Object Tracking
via Information Theoretic Measures,” International Journal of Automation and
Computing, vol. 17, no. 5, pp. 652-666, 2020. 人工智能Artificial Intelligence 50.
Feifei Zhao, Yi Zeng, Aike Guo, Haifeng Su, Bo Xu, “A
Neural Algorithm for Drosophila Linear and Nonlinear Decision-making”,
Scientific Reports, vol.10, pp. 18660, 2020. 51.
Qian Zhang, Yi Zeng and Taoyi Yang,“Computational
Investigation of Contributions from Different Subtypes of Interneurons in
Prefrontal Cortex for Information Maintenance”，Scientific Reports, vol.10, pp.
4617, 2020. 52.
Feifei Zhao, Qingqun Kong, Yi Zeng, Bo Xu, “A
Brain-inspired Visual Fear Responses Model for UAV Emergent Obstacle
Dodging”, IEEE Transactions on Cognitive and Developmental Systems, vol. 12,
no. 1, pp. 124-132, 2020. 53.
Qian Liang, Yi Zeng and Bo Xu, “Temporal-Sequential
Learning with a Brain-Inspired Spiking Neural Network and Its Application to
Musical Memory”, Frontiers in Computational Neuroscience, vol. 14, pp. 51,
2020. 54.
Bin Fan, Qingqun Kong, Xinchao Wang, Zhiheng Wang, Shiming
Xiang, Chunhong Pan, and Pascal Fua. " A Brain-inspired Model of Theory
of Mind ", Frontiers in Neurorobotics, vol. 14, no.60, pp. 1 - 17, 2020. 55.
Dongcheng Zhao, Yi Zeng, Tielin Zhang, Mengting Shi, and
Feifei Zhao, “GLSNN: A Multi-layer Spiking Neural Network based on Global
Feedback Alignment and Local STDP Plasticity”, Frontiers in Computational
Neuroscience, vol. 14, pp. 576841, 2020 模式识别Pattern Recognition 56.
Xuelin Ma,Shuang Qiu,Huiguang He,“Multi-channel EEG
recording during motor imagery of different joints from the same
limb”,Scientific Data, 2020. 57.
Jiezhen Xing,Shuang Qiu,Xuelin Ma,Chenyao Wu,Jinpeng
Li,Shengpei Wang,Huiguang He,“A CNN-based comparing network for the detection
of steady-state visual evoked potential responses, ”Neurocomputing,
vol.403,pp.452-461,2020. 58.
Jinpeng Li,Shuang Qiu,Changde Du,Yixin Wang,Huiguang
He,“Domain Adaptation for EEG Emotion Recognition Based on Latent
Representation Similarity, ”IEEE Transactions on Cognitive and Developmental
Systems,vol.12,no.2,pp.344-353,2020. 59.
Xuelin Ma,Shuang Qiu,Wei Wei,Shengpei Wang,Huiguang He
,“Deep Channel-Correlation Network for Motor Imagery Decoding from Same Limb,
”IEEE Transactions on Neural Systems and Rehabilitation
Engineering,vol.28,no.1,pp.297-306,2020. 60.
Weize Quan, Kai Wang, Dong-Ming Yan, Xiaopeng Zhang, Dennis
Pellerin. Learn with Diversity and from Harder Samples: Improving the
Generalization of CNN-Based Detection of Computer-Generated Images, Forensic
Science International Digital Investigation, 2020 61.
Ruisong Zhang, Weize Quan, Lubin Fan, Liming Hu, Dong-Ming
Yan. Distinguishing Computer-Generated Images from Natural Images Using
Channel and Pixel Correlation, Journal of Computer Science and Technology,
2020 62.
Xiaolong Yang, Xiaohong Jia, Mengke Yuan, Dong-Ming Yan.
Real-time facial pose estimation and tracking by coarse-to-fine iterative
optimization, Tsinghua Science and Technology, 2020 63.
Xiaohan Liu, Lei Ma, Jianwei Guo, Dong-Ming Yan. Parallel
Computation of 3D Clipped Voronoi Diagrams. Parallel Computation of 3D
Clipped Voronoi Diagrams.2020. 64.
Parallel Computation of 3D Clipped Voronoi Diagrams.
Realistic Procedural Plant Modeling from Multiple View Images. IEEE Transactions on Visualization and Computer
Graphics.2020 65.
Yuxin Chen, Gaoqun Ma, Chunfeng Yuana, Bing Li, Hui Zhang,
Fangshi Wang, and Weiming Hu, “Graph convolutional network with structure
pooling and joint-wise channel attention for action recognition,” Pattern
Recognition, vol. 103, pp. 107321: 1-13, July 2020. 66.
Zongwei Zhou, Wenhan Luo, QiangWang, Junliang Xing, and
Weiming Hu, “Distractor- aware discrimination learning for online multiple
object tracking,” Pattern Recognition, vol. 107, pp. 1-10 ,November 2020. 67.
Qiang Chen, Peisong Wang, Anda Cheng, Wanguo Wang, Yifan
Zhang, Jian Cheng. Robust One-stage Object Detection with Location-aware
Classifiers. Pattern Recognition (PR), Vol.105, September,107334, 2020 68.
Yifan Zhang, Lei Shi, Yi Wu, Ke Cheng, Jian Cheng, Hanqing
Lu: Gesture recognition based on deep deformable 3D convolutional neural
networks. Pattern Recognit. 107: 107416 ,2020 69.
Jun Fu, Jing Liu, Yong Li, Yongjun Bao, Weipeng Yan, Zhiwei
Fang, Hanqing Lu: Contextual deconvolution network for semantic segmentation.
Pattern Recognit. 101: 107152 ,2020 70.
Wen-Hao He, Xu-Yao Zhang, Fei Yin, Zhenbo Luo, Jean-Marc
Ogier, Cheng-Lin Liu, Real-time multi-scale scene text detection with
scale-based region proposal network, Pattern Recognition, vol. 98, pp.
107026, 2020. 71.
Chee-Kheng Ch’ng, Chee Seng Chan, Cheng-Lin Liu,
Total-Text: Towards Orientation Robustness in Scene Text Detection, Int. J.
Document Analysis and Recognition, vol. 23, pp. 31-52, 2020. 72.
Xu-Yao Zhang, Cheng-Lin Liu, Ching Y. Suen, Towards Robust
Pattern Recognition: A Review, Proceedings of the IEEE, vol. 108(6), pp.
894-922, 2020. 73.
Jun-Yu Ye, Yan-Ming Zhang, Qing Yang, Cheng-Lin Liu,
Contextual stroke classification in online handwritten documents with edge
graph attention networks, SN Computer Science, vol. 1, pp. 163, 2020. 74.
Yunxue Shao, Cheng-Lin Liu, Teaching machines to write like
humans using L-attributed grammar, Engineering Applications of Artificial
Intelligence, vol. 90, pp. 103489, 2020. 75.
Wujiaheimaiti Simayi, Mayire Ibrahim, Xu-Yao Zhang,
Cheng-Lin Liu, Askar Hamdulla, A benchmark for unconstrained online
handwritten Uyghur word recognition, Int. J. Document Analysis and
Recognition, vol.23, pp. 205-218, 2020. 76.
Zhuo Chen, Fei Yin, Xu-Yao Zhang, Qing Yang, Cheng-Lin Liu,
Multilingual Handwritten Text Recognition via Multi-task Learning of
Recurrent Neural Networks, Pattern Recognition, vol. 108, pp. 107555, 2020. 77.
Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang,
Cheng-Lin Liu, Handwritten Mathematical Expression Recognition via Paired
Adversarial Learning, Int. J. Computer Vision, vol. 128, pp. 2386-2401, 2020. 78.
Ran He, Jie Cao, Lingxiao Song, Zhenan Sun, Tieniu Tan,
“Adversarial Cross-Spectral Face Completion for NIR-VIS Face Recognition,”
IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 42, no. 5, pp.
1025-1037, 2020. 79.
Yan Huang, Qi Wu, Wei Wang, Liang Wang, “Image and Sentence
Matching via Semantic Concepts and Order Learning,” IEEE Trans. on Pattern
Analysis and Machine Intelligence, vol. 42, no. 3, pp. 636-650, 2020. 80.
Ya Jing, Junbo Wang, Wei Wang, Liang Wang, Tieniu Tan,
“Relational graph neural network for situation recognition,” Pattern
Recognition, vol. 108, 2020. 81.
Chenyang Si, Ya Jing, Wei Wang, Liang Wang, Tieniu Tan,
“Skeleton-based action recognition with hierarchical spatial reasoning and
temporal stack learning network,” Pattern Recognition, vol. 107, 2020. 82.
Kai Niu, Yan Huang, Liang Wang, “Re-ranking image-text
matching by adaptive metric fusion,” Pattern Recognition, vol. 104, 2020. 83.
Weining Wang, Yan Huang, Liang Wang, “Long video question
answering: A Matching-guided Attention Model,” Pattern Recognition, vol. 102,
2020. 84.
Peipei Li, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun, “Deep label
refinement for age estimation,” Pattern Recognition, vol. 100, 2020. 85.
Xin Zheng, Huaibo Huang, Yanqing Guo, Bo Wang, Ran He,
“BLAN: Bi-directional ladder attentive network for facial attribute
prediction,” Pattern Recognition, vol. 100, 2020. 86.
Zhihang Li, Yibo Hu, Ran He, Zhenan Sun, “Learning
disentangling and fusing networks for face completion under structured
occlusions,” Pattern Recognition, vol. 99, 2020. 87.
Junbo Wang, Wei Wang, Liang Wang, Zhiyong Wang, David Dagan
Feng, Tieniu Tan, “Learning visual relationship and context-aware attention
for image captioning,” Pattern Recognition, vol. 98, 2020. 88.
Caiyong Wang, Yunlong Wang, Yunfan Liu, Zhaofeng He, Ran
He, Zhenan Sun, “ScleraSegNet: An Attention Assisted U-Net Model for Accurate
Sclera Segmentation,” IEEE Trans. on Biometrics, Behavior, and Identity
Science (Tbiom), vol. 2, no. 1, pp. 40-54, 2020. 89.
Caiyong Wang, Jawad Muhammad, Yunlong Wang, Zhaofeng He,
Zhenan Sun, “Towards Complete and Accurate Iris Segmentation Using Deep
Multi-Task Attention Network for Non-Cooperative Iris Recognition,” IEEE
Trans. on Information Forensics and Security, vol. 15, pp. 2944-2959, 2020. 90.
Yunlian Sun, Jinhui Tang, Zhenan Sun, Massimo Tistarelli,
“Facial Age and Expression Synthesis Using Ordinal Ranking Adversarial Networks,”
IEEE Trans. on Information Forensics and Security, vol. 15, pp. 2960-2972,
2020. 91.
Yunlian Sun, Jinhui Tang, Xiangbo Shu, Zhenan Sun, Massimo
Tistarelli, “Facial Age Synthesis with Label Distribution-Guided Generative
Adversarial Network,” IEEE Trans. on Information Forensics and Security, vol.
15, pp. 2679-2691, 2020. 机器学习Machine learning 92.
Jinpeng Li,Shuang Qiu,YuanYuan Shen,ChengLin Liu,Huiguang
He,“Multisource transfer learning for cross-subject eeg emotion recognition,
”IEEE Transactions on Cybernetics, vol.50,no.7, pp.3281-3293, 2020. 93.
Dan Li,Changde Du,Huiguang He,“Semi-supervised cross-modal
image generation with generative adversarial networks , ”Pattern Recognition
,vol.100,pp.107085, 2020. 94.
Wenjing L，Shuhao Zhang，Ge Yang, Dynamic organization of
intracellular organelle networks, Wiley Interdisciplinary Reviews-Systems
Biology and Medicine, e1505, 2020. 95.
Liangyong Yu，Ran Li, Xiangrui Zeng，Hongyi Wang，Jie Jin，Ge Yang，Rui Jiang，Min Xu, Few Shot Domain Adaptation
for in situ Macromolecule Structural Classification in Cryo-electron
Tomograms, Bioinformatics, btaa671, 2020 96.
Jing Liu, Linlin Li, Yang Yang, Bei Hong, Xi Chen, Qiwei
Xie, Hua Han，Automatic reconstruction
of mitochondria and endoplasmic reticulum in electron microscopy volumes by
deep learning. Frontiers in Neuroscience, 2020 (3区非Top) 97.
Jinqiao Wang , Linyu Zheng, Ming Tang, Jiayi Feng: A
Comparison of Correlation Filter-Based Trackers and Struck Trackers. IEEE
Trans. Circuits Syst. Video Technol. 30(9): 3106-3118 ,2020 98.
Guoqiang Zhong, Tao Li, Wencong Jiao, Li-Na Wang, Junyu
Dong, Cheng-Lin Liu, DNA computing inspired deep networks design,
Neurocomputing, vol. 382, pp. 140-147, 2020. 99.
Zhengya Sun, Cheng-Lin Liu, Jinghao Niu, Wensheng Zhang,
Discriminative structure learning of sum-product networks for data stream
classification Neural Networks, vol. 123, pp. 163-175, 2020. 100.Yuan-Yuan Shen, Yan-Ming Zhang,
Xu-Yao Zhang, Cheng-Lin Liu, Online Semi-Supervised Learning with Learning
Vector Quantization, Neurocomputing, vol. 399, pp. 467-278, 2020. 101.Yanbo Fan, Baoyuan Wu, Ran He,
Bao-Gang Hu, Yong Zhang, Siwei Lyu, “Groupwise Ranking Loss for Multi-Label
Learning,” IEEE Access, vol. 8, pp. 21717-21727, 2020. 102.Jufeng Yang, Xiaoping Wu, Jie
Liang, Xiaoxiao Sun, Ming-Ming Cheng, Paul L. Rosin, “Self-Paced Balance
Learning for Clinical Skin Disease Recognition,” IEEE Trans. on Neural
Networks and Learning Systems, vol. 31, no. 8, pp. 2832-2846, 2020. 103.Zhihang Li, Xu Tang, Xiang Wu,
Jingtuo Liu, Ran He “Progressively Refined Face Detection Through
Semantics-Enriched Representation Learning,” IEEE Trans. on Information
Forensics and Security, vol. 15, pp. 1394-1406, 2020. 数据挖掘Data Mining 104.Qiang Cui, Shu Wu, Qiang Liu, Wen
Zhong, Liang Wang, “MV-RNN: A Multi-View Recurrent Neural Network for
Sequential Recommendation,” IEEE Trans. on Knowledge and Data Engineering,
vol. 32, no. 2, pp. 317-331, 2020. 计算机图形学Computer Graphics 105.Jianwei Guo, Haiyong Jiang, Bedrich
Benes, Oliver Deussen, Xiaopeng Zhang, Dani Lischinski, Hui Huang. Inverse
Procedural Modeling of Branching Structures by Inferring L-Systems. ACM
Transactions on Graphics (Present at SIGGRAPH 2020), 39, 5, Article 155,
2020. 106.Yiqun Wang, Jing Ren, Dong-Ming
Yan, Jianwei Guo, Xiaopeng Zhang, and Peter Wonka. MGCN: Descriptor Learning
using Multiscale GCNs. ACM Trans. Graph (Proc. SIGGRAPH). 39, (4), 2020, 15
pages. 107..Jianwei Guo, Shibiao Xu, Dong-Ming
Yan, Zhanglin Cheng, Marc Jaeger, Xiaopeng Zhang. Realistic Procedural Plant
Modeling from Multiple View Images. IEEE Transactions on Visualization and
Computer Graphics, vol. 26, no. 2, pp. 1372-1384, 2020 108.Zhengda, Lu and Guo, Jianwei and
Xiao, Jun and Wang, Ying and Zhang, Xiaopeng and Yan, Dong-Ming. Extracting
Cycle-Aware Feature Curve Networks from 3D Models. Computer-Aided Design,
2020. 109.Jianwei Guo, Hanyu Wang, Zhanglin
Cheng, Xiaopeng Zhang, Dong-Ming Yan. Learning Local Shape Descriptors for
Computing Non-Rigid Dense Correspondence [J]. Computational Visual Media, 6,
95-112, 2020. 110.Lei You, Jianwei Guo, Yong Pang,
Xinyu Song, Xiaopeng Zhang. 3D Stem Model Construction with Geometry
Consistency using Terrestrial Laser Scanning Data. International Journal of
Remote Sensing, 42:2, 714-737, 2020. 111.Ruisong Zhang, Weize Quan, Baoyuan
Wu, Zhifeng Li, Dong-Ming Yan. Pixel‐wise Dense Detector for Image
Inpainting, Computer Graphics Forum (Pacific Graphics), 2020 112.Hao-Xiang Guo, Xiaohan Liu,
Dong-Ming Yan, Yang Liu. Cut-enhanced PolyCube-maps for feature-aware all-hex
meshing, ACM Transactions on Graphics (Proc. of SIGGRAPH), 2020. 113.Haiyong Jiang, Dong-Ming Yan,
Xiaopeng Zhang, Peter Wonka. Selection Expressions for Procedural Modeling,
IEEE Transactions on Visualization and Computer Graphics, 2020 114.Pengfei Wang, Shiqing Xin, Changhe
Tu, Dong-Ming Yan, Yuanfeng Zhou, Caiming Zhang. Robustly Computing
Restricted Voronoi Diagrams (RVD) on Thin-Plate Models, Computer-Aided
Geometric Design, 2020 多媒体计算Multimedia Computing 115.Fan Tang, Weiming Dong, Yiping
Meng, Chongyang Ma, Fuzhang Wu, Xinrui Li, Tong-Yee Lee: Image
Retargetability. IEEE Transactions on Multimedia 22(3): 641-654 (2020) 116.Shaobo Min, Hantao Yao, Hongtao
Xie, Zheng-Jun Zha, Yongdong Zhang: Multi-Objective Matrix Normalization for
Fine-Grained Visual Recognition. IEEE Trans. Image Process. 29: 4996-5009
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