2026年
· M. Li, X. Hu, Z. Gao, S. Du, and Y. Li, “Enhancing multi-view omnidirectional depth estimation with semantic-aware cost aggregation and spatial propagation,” IEEE Trans. Circuits Syst. Video Technol., 2026, Early Access.
· JCR分区Q1，中科院 1区
2025年
· C. Wu, J. Li, J. Cao, M. Li, S. Du, and Y. Li, “OmniOcc: Cylindrical voxel-based semantic occupancy prediction for omnidirectional vision systems,” IEEE Access, vol. 13, pp. 139944–139952, 2025. JCR分区Q2
· J. Wu, J. Li, J. Wang, X. Xu, S. Du, and Y. Li, “Joint modeling of pixel-wise visibility and fog structure for real-world scene understanding,” Atmosphere, vol. 16, no. 10, p. 1161, 2025. JCR分区Q2
· Y. Xu, B. Zhai, Y. Sun, M. Li, Y. Li, and S. Du, “HiFi-Portrait: Zero-shot identity-preserved portrait generation with high-fidelity multi-face fusion,” in Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR), 2025. CCF A会议
· J. Li, C. S. Low, J. Cao, S. Du, and Y. Li, “Authentic 3D structure preserved surround view system for automobile driving assistance,” in Proc. IEEE Int. Conf. Syst., Man, Cybern. (SMC), Vienna, Austria, 2025, pp. 7121–7130. CCF C会议
2024年
· T. Tang, J. Cao, X. Yang, S. Liu, D. Zhu, S. Du, and Y. Li, “A real-time method for railway track detection and 3D fitting based on camera and LiDAR fusion sensing,” Remote Sens., vol. 16, no. 8, p. 1441, 2024. JCR分区Q1，中科院2区
· P. Wang, M. Li, J. Cao, S. Du, and Y. Li, “CasOmniMVS: Cascade omnidirectional depth estimation with dynamic spherical sweeping,” Appl. Sci., vol. 14, no. 2, p. 517, 2024. JCR分区Q2，中科院4区
· Feng, Y., Shuai, J., Wang, P., Li, Y., & Du, S. (2025). A Stereo Matching Method for Specular Objects via Cascaded Network and Joint Supervision. In: Z. Lin, MM. Cheng, R. He, K. Ubul, W. Silamu, H. Zha, J. Zhou, & CL. Liu (Eds.), Pattern Recognition and Computer Vision. PRCV 2024. Lecture Notes in Computer Science, vol. 15033, pp. 118–129. Springer, Singapore. CCF C会议
2023年
· Z. Zhu, S. Liu, J. Shuai, S. Du, and Y. Li, “3D associative embedding: Multi-view 3D human pose estimation in crowded scenes,” in Proc. ACM Conf. Netw. Internet Things (CNIOT), 2023, pp. 131–139. EI会议
· S. Liu, J. Shuai, Y. Li, and S. Du, “MMDA: Multi-person marginal distribution awareness for monocular 3D pose estimation,” IET Image Process., vol. 17, pp. 2182–2191, 2023. JCR分区Q3，中科院4区
2022年
· J. Wang, C. Peng, M. Li, Y. Li, and S. Du, “The study of stereo matching optimization based on multi-baseline trinocular model,” Multimedia Tools Appl., vol. 81, pp. 12961–12972, 2022. JCR分区Q2，中科院分4区
· M. Li, X. Jin, X. Hu, J. Dai, S. Du, and Y. Li, “MODE: Multi-view omnidirectional depth estimation with 360° cameras,” in Proc. Eur. Conf. Comput. Vis. (ECCV), 2022, pp. 197–213. CCF B类会议
· X. Hu, J. Dai, M. Li, C. Peng, Y. Li, and S. Du, “Online human action detection and anticipation in videos: A survey,” Neurocomputing, vol. 491, pp. 395–413, 2022. JCR分区Q2中科院 2区
· Z. Li, S. Liu, J. Bai, C. Peng, Y. Li, and S. Du, “A novel skeleton-based model with spine for 3D human pose estimation,” in Proc. IEEE Int. Conf. Consum. Commun. Netw. Conf. (CCNC), 2022, pp. 0501–0506.
2021年
· T. Chen, C. Peng, M. Li, X. Chen, S. Du, and Y. Li, “A review on quantitative analyzing axonal transport of mitochondria,” in Proc. IEEE Int. Conf. e-Health Bioeng. (LifeTech), 2021, pp. 441–443.
· Q. Li, C. Peng, Y. Ma, S. Du, B. Guo, and Y. Li, “Pixel-level diabetic retinopathy lesion detection using multi-scale convolutional neural network,” in Proc. IEEE Int. Conf. e-Health Bioeng. (LifeTech), 2021, pp. 438–440.
· M. Li, X. Hu, J. Dai, Y. Li, and S. Du, “Omnidirectional stereo depth estimation based on spherical deep network,” Image Vis. Comput., vol. 114, p. 104264, 2021. JCR分区Q2，中科院分区 3区
· X. Jin, M. Li, C. Peng, S. Du, and Y. Li, “Depth-based removal of thermal reflection with the light-field theory,” J. Opt. Soc. Am. A, vol. 38, pp. 1594–1602, 2021. JCR分区Q3，中科院分区 4区
· J. Cao, C. Peng, Y. Li, and S. Du, “A shadow detection method for retaining key objects in complex scenes,” in Proc. Int. Conf. Knowl. Sci. Eng. Manag. (KST), 2021, pp. 90–95.
· J. Bai, C. Peng, Z. Li, S. Du, and Y. Li, “A study of general data improvement for large-angle head pose estimation,” in Proc. Int. Conf. Comput. Anal. Images Patterns (CAIP), 2021, pp. 199–209.
· H. Wang, M. Li, J. Wang, Y. Li, and S. Du, “A discussion of optimization about stereo image depth estimation based on multi-baseline trinocular camera model,” in Proc. Int. Conf. Comput. Sci. Comput. Intell. (CSCI), 2021, pp. 1716–1720.
2020年以前（部分）
· J. Wang, C. Peng, M. Li, X. Chen, S. Du, and Y. Li, “Stereo Matching Optimization with Multi-baseline Trinocular Camera Model,” in Proc. IEEE Can. Conf. Elect. Comput. Eng. (CCECE), 2020, pp. 1–4. JCR分区 Q4 ，CCF-C会议
· X. Chen, M. Li, T. Chen, S. Du, and Y. Li, “Estimating the Binding and Unbinding Rate of Motor Protein from Mitochondrial Motion,” in Proc. IEEE Global Conf. Life Sci. Technol. (LifeTech), 2020, pp. 1–2.
· M. Li, L. Shi, X. Chen, S. Du, and Y. Li, “Using Temporal Correlation to Optimize Stereo Matching in Video Sequences,” IEICE Trans. Inf. Syst., vol. E102-D, no. 6, pp. 1234–1245, 2019. JCR分区:Q4 ，中科院4区
· S. Lu, T. Chen, F. Yang, C. Peng, S. Du, and Y. Li, “Minimal Path based Particle Tracking in Low SNR Fluorescence Microscopy Images,” in Proc. Int. Conf. Biomed. Image Process. (ICBIP), 2019, pp. 1–5.
· M. Li, X. Chen, C. Peng, S. Du, and Y. Li, “Modeling the occlusion problem in thermal imaging to allow seeing through mist and foliage,” J. Opt. Soc. Am. A, vol. 36, no. 2, pp. A67–A75, 2019. JCR分区 Q3，中科院3区
· F. Yang, S. Lu, S. Du, Y. Li, “A Novel Training Method for Faster R-CNN based Object Detection in Multi-modal Images,” in Imaging and Applied Optics, OSA, 2018.
· Y. Chen, M. Chen, L. Zhu, S. Du, and Y. Li, “Measure and model a 3-D space-variant PSF for fluorescence microscopy image deblurring,” Opt. Express, vol. 26, no. 11, pp. 14375–14391, 2018. JCR分区：Q1，中科院分区: 1区
· M. Chen, Y. Li, M. Yang, X. Chen, Y. Chen, F. Yang, S. Lu, S. Yao, T. Zhou, and J. Liu, “A new method for quantifying mitochondrial axonal transport,” Protein Cell, vol. 7, no. 11, pp. 804–819, 2016. JCR分区: Q1 ，中科院分区: 1区
· Y. Li, M. Yang, Z. Huang, X. Chen, M. T. Maloney, L. Zhu, J. Liu, Y. Yang, S. Du, X. Jiang, and J. Y. Wu, “AxonQuant: A Microfluidic Chamber Culture-Coupled Algorithm That Allows High-Throughput Quantification of Axonal Damage,” Neurosignals, vol. 22, no. 3-4, pp. 1–16, 2014. JCR分区:Q4 ，中科院4区
