| 2025 | CVPR | JamMa: Ultra-lightweight Local Feature Matching with Joint Mamba. | Xiaoyong Lu, Songlin Du |
| 2025 | MVA | CLIP-Guided Cross-Modal Feature Fusion based Few-Shot Learning for Nighttime Pavement Defect Detection. | Chongchong Zan, Songlin Du, Takeshi Ikenaga |
| 2024 | ACCV | Contrastive Max-Correlation for Multi-view Clustering. | Yanghao Deng, Zenghui Wang, Songlin Du |
| 2024 | ECCV | Raising the Ceiling: Conflict-Free Local Feature Matching with Dynamic View Switching. | Xiaoyong Lu, Songlin Du |
| 2024 | ICASSP | Underlying-Complementarity and Surrounding-Correspondence for Multi-View Clustering. | Nan Li, Songlin Du |
| 2024 | IJCNN | Single-Domain Generalization Combining Geometric Context Toward Instance Segmentation of Track Components. | Shixiang Su, Songlin Du, Dezhou Wang, Shuzhen Tong, Xiaobo Lu |
| 2023 | AAAI | ParaFormer: Parallel Attention Transformer for Efficient Feature Matching. | Xiaoyong Lu, Yaping Yan, Bin Kang, Songlin Du |
| 2023 | ICASSP | MSFORMER: Multi-Scale Transformer with Neighborhood Consensus for Feature Matching. | Dongyue Li, Yaping Yan, Dong Liang, Songlin Du |
| 2023 | ICASSP | CFFMixer: Multi-Dimensional Feature Fusion for Object Detection. | Hao Xie, Weizhe Yuan, Bin Kang, Songlin Du |
| 2023 | ICCV | Scene-Aware Feature Matching. | Xiaoyong Lu, Yaping Yan, Tong Wei, Songlin Du |
| 2023 | ICIP | DNC-Net:Dual-neighbourhood Consensus Network for Feature Matching. | Qimin Jiang, Songlin Du |
| 2023 | ICIP | Robust RGB-T Tracking via Consistency Regulated Scene Perception. | Bin Kang, Liwei Liu, Shihao Zhao, Songlin Du |
| 2023 | MVA | Hierarchical Spatio-Temporal Neural Network with Displacement Based Refinement for Monocular Head Pose Prediction. | Zhe Xu, Yuan Li, Yuhong Li, Songlin Du, Takeshi Ikenaga |
| 2023 | MVA | Intra-frame Skeleton Constraints Modeling and Grouping Strategy Based Multi-Scale Graph Convolution Network for 3D Human Motion Prediction. | Zhihan Zhuang, Yuan Li, Songlin Du, Takeshi Ikenaga |
| 2022 | ICANN | JointFusionNet: Parallel Learning Human Structural Local and Global Joint Features for 3D Human Pose Estimation. | Zhiwei Yuan, Yaping Yan, Songlin Du, Takeshi Ikenaga |
| 2022 | ICIP | NCTR: Neighborhood Consensus Transformer for Feature Matching. | Xiaoyong Lu, Songlin Du |
| 2022 | PRICAI | More Than Accuracy: An Empirical Study of Consistency Between Performance and Interpretability. | Yun Du, Dong Liang, Rong Quan, Songlin Du, Yaping Yan |
| 2021 | CSCWD | An Algorithm Based on Monarch Butterfly Optimization with Learning Mechanism and Topological Structure. | Fuqing Zhao, Songlin Du, Jianxin Tang, Yi Zhang, Weimin Ma |
| 2021 | ICANN | JointPose: Jointly Optimizing Evolutionary Data Augmentation and Prediction Neural Network for 3D Human Pose Estimation. | Zhiwei Yuan, Songlin Du |
| 2020 | HSI | Resolution Irrelevant Encoding and Difficulty Balanced Loss Based Network Independent Supervision for Multi-Person Pose Estimation. | Haiyang Liu, Dingli Luo, Songlin Du, Takeshi Ikenaga |
| 2020 | HSI | Hetero Complementary Networks with Hard-Wired Condensing Binarization for High Frame Rate and Ultra-Low Delay Dual-Hand Tracking. | Peiqi Zhang, Dingli Luo, Songlin Du, Takeshi Ikenaga |
| 2020 | RTCSA | Local Spatio-Temporal Propagation Based Adaptive Model Generation and Update for High Frame Rate and Ultra-Low Delay Foreground Detection. | Peikun Cai, Songlin Du, Takeshi Ikenaga |
| 2019 | ISCAS | Iterative Autoencoding and Clustering for Unsupervised Feature Representation. | Songlin Du, Takeshi Ikenaga |
| 2019 | MVA | Temporally Forward Nonlinear Scale Space with Octave Prediction for High Frame Rate and Ultra-Low Delay A-KAZE Matching System. | Yuan Li, Songlin Du, Takeshi Ikenaga |
| 2019 | MVA | End-to-End Feature Pyramid Network for Real-Time Multi-Person Pose Estimation. | Dingli Luo, Songlin Du, Takeshi Ikenaga |
| 2018 | ICPR | Partial Descriptor Update and Isolated Point Avoidance Based Template Update for High Frame Rate and Ultra-Low Delay Deformation Matching. | Yuhao Xu, Tingting Hu, Songlin Du, Takeshi Ikenaga |