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Songlin Du
2020 – today
- 2024
- [j34]Songlin Du, Zhiwei Yuan, Peifu Lai, Takeshi Ikenaga:
JoyPose: Jointly learning evolutionary data augmentation and anatomy-aware global-local representation for 3D human pose estimation. Pattern Recognit. 147: 110116 (2024) - [j33]Songlin Du, Zhiwei Yuan, Takeshi Ikenaga:
Kinematics-aware spatial-temporal feature transform for 3D human pose estimation. Pattern Recognit. 150: 110316 (2024) - [j32]Songlin Du, Zhiwen Zhang, Takeshi Ikenaga:
AnatPose: Bidirectionally learning anatomy-aware heatmaps for human pose estimation. Pattern Recognit. 155: 110654 (2024) - [j31]Bin Kang, Songlin Du, Dong Liang, Fan Wu, Xin Li:
Fine-grained recognition via submodular optimization regulated progressive training. Pattern Recognit. 156: 110849 (2024) - [j30]Songlin Du, Hao Wang, Zhiwei Yuan, Takeshi Ikenaga:
Bi-Pose: Bidirectional 2D-3D Transformation for Human Pose Estimation From a Monocular Camera. IEEE Trans Autom. Sci. Eng. 21(3): 3483-3496 (2024) - [j29]Dongyue Li, Songlin Du:
ContextMatcher: Detector-Free Feature Matching With Cross-Modality Context. IEEE Trans. Circuits Syst. Video Technol. 34(9): 7922-7934 (2024) - [j28]Shixiang Su, Songlin Du, Dezhou Wang, Xiaobo Lu:
Toward Better Generalization: Shape Feature-Enhanced Fastener Defect Detection With Diffusion Model. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [c34]Yanghao Deng, Zenghui Wang, Songlin Du:
Contrastive Max-Correlation for Multi-view Clustering. ACCV (1) 2024: 371-384 - [c33]Xiaoyong Lu, Songlin Du:
Raising the Ceiling: Conflict-Free Local Feature Matching with Dynamic View Switching. ECCV (42) 2024: 256-273 - [c32]Nan Li, Songlin Du:
Underlying-Complementarity and Surrounding-Correspondence for Multi-View Clustering. ICASSP 2024: 7975-7979 - [c31]Dongyue Li, Songlin Du:
Beyond Global Cues: Unveiling the Power of Fine Details in Image Matching. ICME 2024: 1-6 - [c30]Shixiang Su, Songlin Du, Dezhou Wang, Shuzhen Tong, Xiaobo Lu:
Single-Domain Generalization Combining Geometric Context Toward Instance Segmentation of Track Components. IJCNN 2024: 1-8 - [i5]Xiaoyong Lu, Songlin Du:
Raising the Ceiling: Conflict-Free Local Feature Matching with Dynamic View Switching. CoRR abs/2407.07789 (2024) - [i4]Jingtai He, Gehao Zhang, Tingting Liu, Songlin Du:
RADA: Robust and Accurate Feature Learning with Domain Adaptation. CoRR abs/2407.15791 (2024) - 2023
- [j27]Tianpeng Xu, Fuqing Zhao, Jianxin Tang, Songlin Du, Jonrinaldi:
A knowledge-driven monarch butterfly optimization algorithm with self-learning mechanism. Appl. Intell. 53(10): 12077-12097 (2023) - [j26]Songlin Du, Wenju Zhou, Dakui Wu, Minrui Fei:
An effective discrete monarch butterfly optimization algorithm for distributed blocking flow shop scheduling with an assembly machine. Expert Syst. Appl. 225: 120113 (2023) - [j25]Wenxiao Cai, Songlin Du, Wankou Yang:
UAV image stitching by estimating orthograph with RGB cameras. J. Vis. Commun. Image Represent. 94: 103835 (2023) - [j24]Xian Wu, Minrui Fei, Dakui Wu, Wenju Zhou, Songlin Du, Zixiang Fei:
Enhanced Binary Black Hole algorithm for text feature selection on resources classification. Knowl. Based Syst. 274: 110635 (2023) - [j23]Yaping Yan, Hongjuan Zhang, Songlin Du, Yide Ma:
Bi-SCM: bidirectional spiking cortical model with adaptive unsharp masking for mammography image enhancement. Multim. Tools Appl. 82(8): 12081-12098 (2023) - [j22]Shixiang Su, Songlin Du, Xuan Wei, Xiaobo Lu:
RFS-Net: Railway Track Fastener Segmentation Network With Shape Guidance. IEEE Trans. Circuits Syst. Video Technol. 33(3): 1398-1412 (2023) - [j21]Songlin Du, Ziwei Dong, Yuan Li, Takeshi Ikenaga:
Straight-Line Detection Within 1 Millisecond Per Frame for Ultrahigh-Speed Industrial Automation. IEEE Trans. Ind. Informatics 19(4): 5965-5975 (2023) - [c29]Xiaoyong Lu, Yaping Yan, Bin Kang, Songlin Du:
ParaFormer: Parallel Attention Transformer for Efficient Feature Matching. AAAI 2023: 1853-1860 - [c28]Dongyue Li, Yaping Yan, Dong Liang, Songlin Du:
MSFORMER: Multi-Scale Transformer with Neighborhood Consensus for Feature Matching. ICASSP 2023: 1-5 - [c27]Hao Xie, Weizhe Yuan, Bin Kang, Songlin Du:
CFFMixer: Multi-Dimensional Feature Fusion for Object Detection. ICASSP 2023: 1-5 - [c26]Xiaoyong Lu, Yaping Yan, Tong Wei, Songlin Du:
Scene-Aware Feature Matching. ICCV 2023: 3681-3690 - [c25]Bin Kang, Liwei Liu, Shihao Zhao, Songlin Du:
Robust RGB-T Tracking via Consistency Regulated Scene Perception. ICIP 2023: 510-514 - [c24]Qimin Jiang, Songlin Du:
DNC-Net:Dual-neighbourhood Consensus Network for Feature Matching. ICIP 2023: 610-614 - [c23]Zhe Xu, Yuan Li, Yuhong Li, Songlin Du, Takeshi Ikenaga:
Hierarchical Spatio-Temporal Neural Network with Displacement Based Refinement for Monocular Head Pose Prediction. MVA 2023: 1-5 - [c22]Zhihan Zhuang, Yuan Li, Songlin Du, Takeshi Ikenaga:
Intra-frame Skeleton Constraints Modeling and Grouping Strategy Based Multi-Scale Graph Convolution Network for 3D Human Motion Prediction. MVA 2023: 1-5 - [i3]Xiaoyong Lu, Yaping Yan, Bin Kang, Songlin Du:
ParaFormer: Parallel Attention Transformer for Efficient Feature Matching. CoRR abs/2303.00941 (2023) - [i2]Xiaoyong Lu, Yaping Yan, Tong Wei, Songlin Du:
Scene-Aware Feature Matching. CoRR abs/2308.09949 (2023) - 2022
- [j20]Songlin Du, Peikun Cai, Tingting Hu, Takeshi Ikenaga:
Automatic Foreground Detection at 784 FPS for Ultra-High-Speed Human-Machine Interactions. IEEE Trans Autom. Sci. Eng. 19(4): 3587-3600 (2022) - [j19]Peiqi Zhang, Tingting Hu, Dingli Luo, Songlin Du, Takeshi Ikenaga:
Highly-Parallel Hardwired Deep Convolutional Neural Network for 1-ms Dual-Hand Tracking. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8192-8203 (2022) - [j18]Songlin Du, Kaidong Gu, Takeshi Ikenaga:
Subpixel Displacement Measurement at 784 FPS: From Algorithm to Hardware System. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j17]Shixiang Su, Songlin Du, Xiaobo Lu:
Geometric Constraint and Image Inpainting-Based Railway Track Fastener Sample Generation for Improving Defect Inspection. IEEE Trans. Intell. Transp. Syst. 23(12): 23883-23895 (2022) - [c21]Bin Kang, Jianchun Ye, Songlin Du, Xin Li:
Partially Occluded Self-taught Learning via Residual Connection Union. CISP-BMEI 2022: 1-5 - [c20]Zhiwei Yuan, Yaping Yan, Songlin Du, Takeshi Ikenaga:
JointFusionNet: Parallel Learning Human Structural Local and Global Joint Features for 3D Human Pose Estimation. ICANN (4) 2022: 113-125 - [c19]Xiaoyong Lu, Songlin Du:
NCTR: Neighborhood Consensus Transformer for Feature Matching. ICIP 2022: 2726-2730 - [c18]Yun Du, Dong Liang, Rong Quan, Songlin Du, Yaping Yan:
More Than Accuracy: An Empirical Study of Consistency Between Performance and Interpretability. PRICAI (3) 2022: 579-590 - 2021
- [j16]Fuqing Zhao, Songlin Du, Hao Lu, Weimin Ma, Houbin Song:
A hybrid self-adaptive invasive weed algorithm with differential evolution. Connect. Sci. 33(4): 929-953 (2021) - [j15]Songlin Du, Takeshi Ikenaga:
STED-Net: Self-taught encoder-decoder network for unsupervised feature representation. Multim. Tools Appl. 80(3): 4673-4691 (2021) - [j14]Dingli Luo, Songlin Du, Takeshi Ikenaga:
Multi-task neural network with physical constraint for real-time multi-person 3D pose estimation from monocular camera. Multim. Tools Appl. 80(18): 27223-27244 (2021) - [c17]Shuaishuai Zhang, Xiaobo Lu, Songlin Du:
A Two-step Model for Multi-object Tracking. CSAE 2021: 8:1-8:5 - [c16]Fuqing Zhao, Songlin Du, Jianxin Tang, Yi Zhang, Weimin Ma:
An Algorithm Based on Monarch Butterfly Optimization with Learning Mechanism and Topological Structure. CSCWD 2021: 85-89 - [c15]Zhiwei Yuan, Songlin Du:
JointPose: Jointly Optimizing Evolutionary Data Augmentation and Prediction Neural Network for 3D Human Pose Estimation. ICANN (3) 2021: 368-379 - [c14]Yimo Wang, Songlin Du, Quan Zhou, Bin Kang:
Multiple Stream Oriented Siamese Network for RGB-T Tracking. WCSP 2021: 1-5 - [i1]Haiyang Liu, Dingli Luo, Songlin Du, Takeshi Ikenaga:
Self-Supervision and Spatial-Sequential Attention Based Loss for Multi-Person Pose Estimation. CoRR abs/2110.10734 (2021) - 2020
- [j13]Xina Cheng, Ziken Li, Songlin Du, Takeshi Ikenaga:
Body Part Connection, Categorization and Occlusion Based Tracking with Correction by Temporal Positions for Volleyball Spike Height Analysis. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 103-A(12): 1503-1511 (2020) - [j12]Songlin Du, Yuan Li, Takeshi Ikenaga:
Temporally Forward Nonlinear Scale Space for High Frame Rate and Ultra-Low Delay A-KAZE Matching System. IEICE Trans. Inf. Syst. 103-D(6): 1226-1235 (2020) - [j11]Songlin Du, Zhe Wang, Takeshi Ikenaga:
Temporal Constraints and Block Weighting Judgement Based High Frame Rate and Ultra-Low Delay Mismatch Removal System. IEICE Trans. Inf. Syst. 103-D(6): 1236-1246 (2020) - [j10]Fuqing Zhao, Songlin Du, Yi Zhang, Weimin Ma, Houbin Song:
Hybrid biogeography-based optimization with enhanced mutation and CMA-ES for global optimization problem. Serv. Oriented Comput. Appl. 14(1): 65-73 (2020) - [c13]Peiqi Zhang, Dingli Luo, Songlin Du, Takeshi Ikenaga:
Hetero Complementary Networks with Hard-Wired Condensing Binarization for High Frame Rate and Ultra-Low Delay Dual-Hand Tracking. HSI 2020: 82-87 - [c12]Haiyang Liu, Dingli Luo, Songlin Du, Takeshi Ikenaga:
Resolution Irrelevant Encoding and Difficulty Balanced Loss Based Network Independent Supervision for Multi-Person Pose Estimation. HSI 2020: 112-117 - [c11]Peikun Cai, Songlin Du, Takeshi Ikenaga:
Local Spatio-Temporal Propagation Based Adaptive Model Generation and Update for High Frame Rate and Ultra-Low Delay Foreground Detection. RTCSA 2020: 1-6
2010 – 2019
- 2019
- [j9]Songlin Du, Yuhao Xu, Tingting Hu, Takeshi Ikenaga:
Adaptive-Partial Template Update with Center-Shifting Recovery for High Frame Rate and Ultra-Low Delay Deformation Matching. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 102-A(12): 1872-1881 (2019) - [j8]Songlin Du, Takeshi Ikenaga:
Low-dimensional superpixel descriptor and its application in visual correspondence estimation. Multim. Tools Appl. 78(14): 19457-19472 (2019) - [c10]Songlin Du, Takeshi Ikenaga:
Motion Statistic Based Local Homography Transformation Estimation for Mismatch Removal. AIVR 2019: 47-50 - [c9]Dingli Luo, Songlin Du, Takeshi Ikenaga:
Multi-Task and Multi-Level Detection Neural Network Based Real-Time 3D Pose Estimation. APSIPA 2019: 1427-1434 - [c8]Songlin Du, Takeshi Ikenaga:
Iterative Autoencoding and Clustering for Unsupervised Feature Representation. ISCAS 2019: 1-5 - [c7]Yuan Li, Songlin Du, Takeshi Ikenaga:
Temporally Forward Nonlinear Scale Space with Octave Prediction for High Frame Rate and Ultra-Low Delay A-KAZE Matching System. MVA 2019: 1-4 - [c6]Dingli Luo, Songlin Du, Takeshi Ikenaga:
End-to-End Feature Pyramid Network for Real-Time Multi-Person Pose Estimation. MVA 2019: 1-4 - 2018
- [j7]Songlin Du, Takeshi Ikenaga:
Hierarchical Progressive Trust Model for Mismatch Removal under Both Rigid and Non-Rigid Transformations. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(11): 1786-1794 (2018) - [j6]Chao Sun, Hongbo Zhao, Wenquan Feng, Songlin Du:
A Frequency-Domain Multipath Parameter Estimation and Mitigation Method for BOC-Modulated GNSS Signals. Sensors 18(3): 721 (2018) - [c5]Yuhao Xu, Tingting Hu, Songlin Du, Takeshi Ikenaga:
Partial Descriptor Update and Isolated Point Avoidance Based Template Update for High Frame Rate and Ultra-Low Delay Deformation Matching. ICPR 2018: 1827-1832 - [c4]Songlin Du, Takeshi Ikenaga:
Mutual-Information-Graph Regularized Sparse Transform for Unsupervised Feature Learning. ISPACS 2018: 215-219 - 2017
- [j5]Songlin Du, Takeshi Ikenaga:
AIGIF: Adaptively Integrated Gradient and Intensity Feature for Robust and Low-Dimensional Description of Local Keypoint. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 100-A(11): 2275-2284 (2017) - [j4]Songlin Du, Yaping Yan, Yide Ma:
LAP: a bio-inspired local image structure descriptor and its applications. Multim. Tools Appl. 76(12): 13973-13993 (2017) - [c3]Songlin Du, Takeshi Ikenaga:
Low-dimensional superpixel descriptor for visual correspondence estimation in video. ISPACS 2017: 287-291 - [c2]Songlin Du, Takeshi Ikenaga:
Local Temporal Coherence for Object-Aware Keypoint Selection in Video Sequences. PCM (2) 2017: 539-549 - 2016
- [j3]Songlin Du, Yaping Yan, Yide Ma:
Blind image quality assessment with the histogram sequences of high-order local derivative patterns. Digit. Signal Process. 55: 1-12 (2016) - [j2]Yaping Yan, Songlin Du, Hongjuan Zhang, Yide Ma:
When spatial distribution unites with spatial contrast: an effective blind image quality assessment model. IET Image Process. 10(12): 1017-1028 (2016) - [c1]Songlin Du, Yaping Yan, Yide Ma:
Automated Breast Mass Segmentation using Pulse-Coupled Neural Network and Distance Regularized Level Set Evolution: A Coarse-to-fine Approach. BIOIMAGING 2016: 17-24 - 2015
- [j1]Songlin Du, Yaping Yan, Yide Ma:
Quantum-Accelerated Fractal Image Compression: An Interdisciplinary Approach. IEEE Signal Process. Lett. 22(4): 499-503 (2015)
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last updated on 2025-01-20 22:55 CET by the dblp team
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