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2020 – today
- 2024
- [c30]Liangqi Zhang, Yihao Luo, Haibo Shen, Tianjiang Wang:
A Fourier Perspective of Feature Extraction and Adversarial Robustness. IJCAI 2024: 1715-1723 - 2023
- [j58]Jing Zhou, Yiyu Hu, Xinhan Huang, Tianjiang Wang:
Three-dimensional object detection network based on geometric information supplement strategy. Comput. Electr. Eng. 106: 108577 (2023) - [j57]Jing Zhou
, Yiyu Hu, Zhongyuan Lai, Tianjiang Wang:
SEGANet: 3D object detection with shape-enhancement and geometry-aware network. Comput. Electr. Eng. 110: 108888 (2023) - [j56]Yihao Luo, Xiang Cao, Juntao Zhang, Peng Cheng, Tianjiang Wang, Qi Feng
Dynamic multi-scale loss optimization for object detection. Multim. Tools Appl. 82(2): 2349-2367 (2023) - [c29]Haibo Shen, Yihao Luo, Xiang Cao, Liangqi Zhang, Juyu Xiao, Tianjiang Wang:
Training Stronger Spiking Neural Networks with Biomimetic Adaptive Internal Association Neurons. ICASSP 2023: 1-5 - [c28]Haibo Shen, Yihao Luo, Xiang Cao, Liangqi Zhang, Juyu Xiao, Tianjiang Wang:
Training Robust Spiking Neural Networks on Neuromorphic Data with Spatiotemporal Fragments. ICASSP 2023: 1-5 - [c27]Haibo Shen, Juyu Xiao, Yihao Luo, Xiang Cao, Liangqi Zhang, Tianjiang Wang:
Training Robust Spiking Neural Networks with Viewpoint Transform and Spatiotemporal Stretching. ICASSP 2023: 1-5 - [c26]Liangqi Zhang, Yihao Luo, Xiang Cao, Haibo Shen, Tianjiang Wang:
Frequency and Scale Perspectives of Feature Extraction. ICASSP 2023: 1-5 - [i8]Liangqi Zhang, Yihao Luo, Xiang Cao, Haibo Shen, Tianjiang Wang:
Frequency and Scale Perspectives of Feature Extraction. CoRR abs/2302.12477 (2023) - [i7]Haibo Shen, Juyu Xiao, Yihao Luo, Xiang Cao, Liangqi Zhang, Tianjiang Wang:
Training Robust Spiking Neural Networks with ViewPoint Transform and SpatioTemporal Stretching. CoRR abs/2303.07609 (2023) - 2022
- [j55]Yihao Luo, Xiang Cao, Juntao Zhang
CE-FPN: enhancing channel information for object detection. Multim. Tools Appl. 81(21): 30685-30704 (2022) - [j54]Yihao Luo, Haibo Shen, Xiang Cao
Conversion of Siamese networks to spiking neural networks for energy-efficient object tracking. Neural Comput. Appl. 34(12): 9967-9982 (2022) - [c25]Xiang Cao
Kernel Estimation Network for Blind Super-Resolution. ICASSP 2022: 1695-1699 - [c24]Yihao Luo, Xiang Cao
Multi-Scale Reinforcement Learning Strategy for Object Detection. ICASSP 2022: 2015-2019 - [c23]Yihao Luo, Xiang Cao
Dynamic Multi-Scale Loss Balance for Object Detection. ICASSP 2022: 4873-4877 - [c22]Liangqi Zhang, Haibo Shen, Yihao Luo, Xiang Cao, Leixilan Pan, Tianjiang Wang, Qi Feng:
Efficient CNN Architecture Design Guided by Visualization. ICME 2022: 1-6 - [i6]Liangqi Zhang, Haibo Shen, Yihao Luo, Xiang Cao, Leixilan Pan, Tianjiang Wang, Qi Feng:
Efficient CNN Architecture Design Guided by Visualization. CoRR abs/2207.10318 (2022) - [i5]Haibo Shen, Yihao Luo, Xiang Cao, Liangqi Zhang, Juyu Xiao, Tianjiang Wang:
Improved Regularization of Event-based Learning by Reversing and Drifting. CoRR abs/2207.11659 (2022) - [i4]Haibo Shen, Juyu Xiao, Yihao Luo, Xiang Cao, Liangqi Zhang, Tianjiang Wang:
Modeling Associative Plasticity between Synapses to Enhance Learning of Spiking Neural Networks. CoRR abs/2207.11670 (2022) - 2021
- [j53]Mingli Wang, Xinwei Jiang, Junbin Gao, Tianjiang Wang, Chunlong Hu, Fang Liu, Qi Feng:
Minimum unbiased risk estimate based 2DPCA for color image denoising. Neurocomputing 440: 127-144 (2021) - [j52]Xiang Cao
DAEANet: Dual auto-encoder attention network for depth map super-resolution. Neurocomputing 454: 350-360 (2021) - [j51]Xiang Cao
Blind image super-resolution based on prior correction network. Neurocomputing 463: 525-534 (2021) - [c21]Yihao Luo, Min Xu, Caihong Yuan, Xiang Cao, Liangqi Zhang, Yan Xu, Tianjiang Wang, Qi Feng:
SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking. ICANN (5) 2021: 182-194 - [i3]Yihao Luo, Xiang Cao, Juntao Zhang, Jingjuan Guo, Haibo Shen, Tianjiang Wang, Qi Feng:
CE-FPN: Enhancing Channel Information for Object Detection. CoRR abs/2103.10643 (2021) - [i2]Yihao Luo, Xiang Cao, Juntao Zhang, Peng Cheng, Tianjiang Wang, Qi Feng:
Dynamic Multi-Scale Loss Optimization for Object Detection. CoRR abs/2108.04014 (2021) - 2020
- [j50]Meriem Sebai
PartMitosis: A Partially Supervised Deep Learning Framework for Mitosis Detection in Breast Cancer Histopathology Images. IEEE Access 8: 45133-45147 (2020) - [j49]Xi Li, Tianjiang Wang:
A long time tracking with BIN-NST and DRN. J. Ambient Intell. Humaniz. Comput. 11(11): 4321-4327 (2020) - [j48]Meriem Sebai
MaskMitosis: a deep learning framework for fully supervised, weakly supervised, and unsupervised mitosis detection in histopathology images. Medical Biol. Eng. Comput. 58(7): 1603-1623 (2020) - [j47]Zhiqiang Zhao
Robust object tracking based on ridge regression and multi-scale local sparse coding. Multim. Tools Appl. 79(1-2): 785-804 (2020) - [j46]Jing Zhou, Tianjiang Wang:
FER based on the improved convex nonnegative matrix factorization feature. Multim. Tools Appl. 79(35-36): 26305-26325 (2020) - [j45]Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Yihao Luo, Tianjiang Wang:
Object detector with enriched global context information. Multim. Tools Appl. 79(39-40): 29551-29571 (2020) - [i1]Yihao Luo, Min Xu, Caihong Yuan, Xiang Cao, Yan Xu, Tianjiang Wang, Qi Feng:
SiamSNN: Spike-based Siamese Network for Energy-Efficient and Real-time Object Tracking. CoRR abs/2003.07584 (2020)
2010 – 2019
- 2019
- [j44]Caihong Yuan
A jointly learned deep embedding for person re-identification. Neurocomputing 330: 127-137 (2019) - [j43]Yi Ding, Qi Feng, Tianjiang Wang, Xian Fu:
Retraction notice to 'A Modular Neural Network Architecture with Concept' [Neurocomputing 125, 11 February 2014, Pages 3-6]. Neurocomputing 366: 356 (2019) - [j42]Jing Zhou, Tianjiang Wang:
Facial Feature Recognition based on ASNMF Method. KSII Trans. Internet Inf. Syst. 13(12): 6028-6042 (2019) - [j41]Gwang-Min Choe, Chun-Hwa Choe, Tianjiang Wang, Hyo-Son So, Cholman Nam, Caihong Yuan:
Deep learning with particle filter for person re-identification. Multim. Tools Appl. 78(6): 6607-6636 (2019) - [j40]Caihong Yuan, Jingjuan Guo, Ping Feng, Zhiqiang Zhao, Yihao Luo, Chunyan Xu, Tianjiang Wang, Kui Duan:
Learning deep embedding with mini-cluster loss for person re-identification. Multim. Tools Appl. 78(15): 21145-21166 (2019) - [j39]Chun-Hwa Choe, Gwang-Min Choe, Tianjiang Wang, Sokmin Han, Caihong Yuan:
Deep feature learning with mixed distance maximization for person Re-identification. Multim. Tools Appl. 78(19): 27719-27741 (2019) - [j38]Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Kui Duan:
Densely convolutional and feature fused object detector. Multim. Tools Appl. 78(24): 35559-35584 (2019) - [c20]Yihao Luo, Quanzheng Yi, Tianjiang Wang, Ling Lin, Yan Xu, Jing Zhou, Caihong Yuan, Jingjuan Guo, Ping Feng, Qi Feng:
A Spiking Neural Network Architecture for Object Tracking. ICIG (1) 2019: 118-132 - 2018
- [j37]Zhiqiang Zhao, Ping Feng, Jingjuan Guo, Caihong Yuan
A hybrid tracking framework based on kernel correlation filtering and particle filtering. Neurocomputing 297: 40-49 (2018) - [j36]Ping Feng, Chunyan Xu
A deep features based generative model for visual tracking. Neurocomputing 308: 245-254 (2018) - [j35]Caihong Yuan, Chunyan Xu, Tianjiang Wang, Fang Liu, Zhiqiang Zhao, Ping Feng, Jingjuan Guo:
Deep multi-instance learning for end-to-end person re-identification. Multim. Tools Appl. 77(10): 12437-12467 (2018) - [j34]Qi Feng, Tianjiang Wang, Fang Liu, Hefei Ling:
Research on multi-camera information fusion method for intelligent perception. Multim. Tools Appl. 77(12): 15003-15026 (2018) - [j33]Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Fang Liu:
Bi-branch deconvolution-based convolutional neural network for image classification. Multim. Tools Appl. 77(23): 30233-30250 (2018) - 2017
- [j32]Ping Feng, Chunyan Xu, Zhiqiang Zhao, Fang Liu, Caihong Yuan, Tianjiang Wang, Kui Duan:
Sparse representation combined with context information for visual tracking. Neurocomputing 225: 92-102 (2017) - [j31]Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Fang Liu, Caihong Yuan, Jingjuan Guo, Zhijian Zhao, Zongmin Cui:
Dual-scale structural local sparse appearance model for robust object tracking. Neurocomputing 237: 101-113 (2017) - [j30]Xin-Yu Ou, Ping Li, Hefei Ling, Si Liu, Tianjiang Wang, Dan Li:
Objectness Region Enhancement Networks for Scene Parsing. J. Comput. Sci. Technol. 32(4): 683-700 (2017) - [j29]Zhiqiang Zhao
Remarkable local resampling based on particle filter for visual tracking. Multim. Tools Appl. 76(1): 835-860 (2017) - 2016
- [j28]Yucheng Shu, Tianjiang Wang, Guangpu Shao, Chunlong Hu:
Discriminative transform of receptive field patterns for feature representation. Multim. Tools Appl. 75(13): 7495-7517 (2016) - [j27]Meng Chen, Liyu Gong, Tianjiang Wang, Fang Liu, Qi Feng:
Modeling spatio-temporal layout with Lie Algebrized Gaussians for action recognition. Multim. Tools Appl. 75(17): 10335-10355 (2016) - [j26]Gwang-Min Choe, Caihong Yuan, Tianjiang Wang, Qi Feng, Gyong-Il Hyon, Chun-Hwa Choe, Jonghwan Ri, Gumhyok Ji:
Combined salience based person re-identification. Multim. Tools Appl. 75(18): 11447-11468 (2016) - [j25]Chunyan Xu, Canyi Lu, Xiaodan Liang, Junbin Gao
Multi-loss Regularized Deep Neural Network. IEEE Trans. Circuits Syst. Video Technol. 26(12): 2273-2283 (2016) - 2015
- [j24]Gwang-Min Choe, Tianjiang Wang, Fang Liu, Suchol Hyon, Jong Won Ha:
Particle filter with spline resampling and global transition model. IET Comput. Vis. 9(2): 184-197 (2015) - [j23]Meng Chen, Liyu Gong, Tianjiang Wang, Qi Feng:
Action recognition using lie algebrized gaussians over dense local spatio-temporal features. Multim. Tools Appl. 74(6): 2127-2142 (2015) - [j22]Chunlong Hu, Liyu Gong, Tianjiang Wang, Qi Feng:
Effective human age estimation using a two-stage approach based on Lie Algebrized Gaussians feature. Multim. Tools Appl. 74(11): 4139-4159 (2015) - [j21]Gwang-Min Choe, Tianjiang Wang, Fang Liu, Chun-Hwa Choe, Hyo-Son So:
Visual tracking based on particle filter with spline resampling. Multim. Tools Appl. 74(17): 7195-7220 (2015) - [j20]Gwang-Min Choe, Tianjiang Wang, Fang Liu, Chun-Hwa Choe, Manhung Jong:
An advanced association of particle filtering and kernel based object tracking. Multim. Tools Appl. 74(18): 7595-7619 (2015) - [j19]Gwang-Min Choe, Tianjiang Wang, Fang Liu, Gwangho Li, Hyongwang O, Songryong Kim:
Moving object tracking based on geogram. Multim. Tools Appl. 74(21): 9771-9794 (2015) - [j18]Xiaoyuan Yu, Jianchao Yang, Zhe L. Lin, Jiangping Wang, Tianjiang Wang, Thomas S. Huang:
Subcategory-Aware Object Detection. IEEE Signal Process. Lett. 22(9): 1472-1476 (2015) - [j17]Chunyan Xu, Canyi Lu, Junbin Gao
Facial Analysis With a Lie Group Kernel. IEEE Trans. Circuits Syst. Video Technol. 25(7): 1140-1150 (2015) - [j16]Chunyan Xu, Canyi Lu, Junbin Gao
Discriminative Analysis for Symmetric Positive Definite Matrices on Lie Groups. IEEE Trans. Circuits Syst. Video Technol. 25(10): 1576-1585 (2015) - [j15]Xiaoyuan Yu, Jianchao Yang, Tianjiang Wang, Thomas S. Huang:
Key Point Detection by Max Pooling for Tracking. IEEE Trans. Cybern. 45(3): 444-452 (2015) - [c19]Gwang-Min Choe, Tianjiang Wang, Qi Feng, Chun-Hwa Choe, Sokmin Han, Hun Kim:
Sophisticated Tracking Framework with Combined Detector. ICIG (3) 2015: 402-409 - 2014
- [j14]Yucheng Shu, Tianjiang Wang, Guangpu Shao, Fang Liu, Qi Feng:
Robust Differential Circle Patterns based on fuzzy membership-pooling: A novel local image descriptor. Neurocomputing 144: 378-390 (2014) - [j13]Yong Yang, Ling Guo, Tianjiang Wang, Wenbing Tao, Guangpu Shao, Qi Feng:
Unsupervised multiphase color-texture image segmentation based on variational formulation and multilayer graph. Image Vis. Comput. 32(2): 87-106 (2014) - [j12]Gwang-Min Choe, Tianjiang Wang, Fang Liu, Chun-Hwa Choe, Hyo-Son So, Chol-Ung Pak:
Anadvanced integrated framework for moving object tracking. J. Zhejiang Univ. Sci. C 15(10): 861-877 (2014) - [j11]Chunlong Hu, Liyu Gong, Tianjiang Wang, Fang Liu, Qi Feng:
An effective head pose estimation approach using Lie Algebrized Gaussians based face representation. Multim. Tools Appl. 73(3): 1863-1884 (2014) - [j10]Xinwei Jiang, Junbin Gao
TPSLVM: A Dimensionality Reduction Algorithm Based On Thin Plate Splines. IEEE Trans. Cybern. 44(10): 1795-1807 (2014) - [j9]Chunyan Xu, Tianjiang Wang, Junbin Gao
An Ordered-Patch-Based Image Classification Approach on the Image Grassmannian Manifold. IEEE Trans. Neural Networks Learn. Syst. 25(4): 728-737 (2014) - [c18]Guangpu Shao, Junbin Gao
Image Segmentation Based on Spatially Coherent Gaussian Mixture Model. DICTA 2014: 1-6 - [c17]Khawlah Hussein Ali, Tianjiang Wang:
Learning features for action recognition and identity with deep belief networks. ICAILP 2014: 129-132 - [c16]Yan Yu, Tianjiang Wang, Yanli Liu:
Edge orientation spatiogram for silhouette image retrieval. ICDIP 2014: 91591G - [c15]Khawlah Hussein Ali, Tianjiang Wang:
Recognition of Human Action and Identification Based on SIFT and Watermark. ICIC (2) 2014: 298-309 - [c14]Yucheng Shu, Tianjiang Wang, Guangpu Shao, Fang Liu, Qi Feng:
DTRF: A physiologically motivated method for image description. ICIP 2014: 5666-5670 - [c13]Guangpu Shao, Junbin Gao
Fuzzy c-means clustering with a new regularization term for image segmentation. IJCNN 2014: 2862-2869 - 2013
- [j8]Yi Ding, Tianjiang Wang, Xian Fu:
Using Neural Networks and Self-Organizing Maps for Image Connecting. Cogn. Comput. 5(1): 13-18 (2013) - [j7]Xiaoyuan Yu, Jiangping Wang, Roland Kays
Automated identification of animal species in camera trap images. EURASIP J. Image Video Process. 2013: 52 (2013) - [j6]Bingpeng Ma, Xiujuan Chai, Tianjiang Wang:
A novel feature descriptor based on biologically inspired feature for head pose estimation. Neurocomputing 115: 1-10 (2013) - [j5]Yong Yang, Shoudong Han, Tianjiang Wang, Wenbing Tao, Xue-Cheng Tai
Multilayer graph cuts based unsupervised color-texture image segmentation using multivariate mixed student's t-distribution and regional credibility merging. Pattern Recognit. 46(4): 1101-1124 (2013) - [c12]Chunlong Hu, Liyu Gong, Tianjiang Wang, Qi Feng:
Effective head pose estimation using Lie Algebrized Gaussians. ICME 2013: 1-6 - 2012
- [j4]Xinwei Jiang, Junbin Gao
Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction. IEEE Trans. Syst. Man Cybern. Part B 42(6): 1620-1632 (2012) - [c11]Xinwei Jiang, Junbin Gao
Thin Plate Spline Latent Variable Models for dimensionality reduction. IJCNN 2012: 1-8 - 2010
- [j3]Wenbing Tao, Feng Chang, Liman Liu, Hai Jin, Tianjiang Wang:
Interactively multiphase image segmentation based on variational formulation and graph cuts. Pattern Recognit. 43(10): 3208-3218 (2010) - [j2]Shoudong Han, Wenbing Tao, Xianglin Wu, Xue-Cheng Tai
Fast image segmentation based on multilevel banded closed-form method. Pattern Recognit. Lett. 31(3): 216-225 (2010) - [c10]Xinwei Jiang, Junbin Gao
Learning Gradients with Gaussian Processes. PAKDD (2) 2010: 113-124 - [c9]Liyu Gong, Tianjiang Wang, Chengshuo Wang, Fang Liu, Fuqiang Zhang, Xiaoyuan Yu:
Recognizing affect from non-stylized body motion using shape of Gaussian descriptors. SAC 2010: 1203-1206
2000 – 2009
- 2009
- [j1]Wenjun Liu, Tianjiang Wang, Fang Liu:
Multi-Agent Group Programming Based On Co-evolution. Comput. J. 52(8): 910-921 (2009) - [c8]Xiangen Hu, Zhiqiang Cai, Lu Han, Scotty D. Craig, Tianjiang Wang, Arthur C. Graesser:
AutoTutor Lite. AIED 2009: 802 - [c7]Liyu Gong, Tianjiang Wang, Fang Liu:
Shape of Gaussians as feature descriptors. CVPR 2009: 2366-2371 - [c6]Liyu Gong, Tianjiang Wang, Yan Yu, Fang Liu, Xiangen Hu:
A Lie group based Gaussian Mixture Model distance measure for multimedia comparison. ICIMCS 2009: 70-79 - [c5]Zhihua Xu, Hefei Ling, Fuhao Zou, Zhengding Lu, Ping Li, Tianjiang Wang:
Fast and robust video copy detection scheme using full DCT coefficients. ICME 2009: 434-437 - [c4]Liyu Gong, Tianjiang Wang, Fang Liu, Gang Chen:
A Lie group based spatiogram similarity measure. ICME 2009: 582-585 - [c3]Tianjiang Wang, Gang Chen, Perfecto Herrera:
Music retrieval based on a multi-samples selection strategy for support vector machine active learning. SAC 2009: 1750-1751 - 2008
- [c2]Fang Liu, Xiang Peng, Tianjiang Wang, Songfeng Lu
A density-based approach for text extraction in images. ICPR 2008: 1-4 - [c1]Fang Liu, Shaohua Zhu, Yuxiao Fu, Fan Fan, Tianjiang Wang, Songfeng Lu
Image Analysis of the Relationship between Changes of Cornea and Postmortem Interval. PRICAI 2008: 998-1003
Coauthor Index
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last updated on 2024-10-21 21:26 CEST by the dblp team
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