Zhigang Zhu

Li, X. ., & Zhu, Z. . (2021). A Snapshot-based Approach for Self-supervised Feature Learning and Weakly-supervised Classification on Point Cloud Data. In VISAPP 2021, the 16th International Conference on Computer Vision Theory and Applications (p. 10). http://doi.org/10.5220/0010230103990408

Alsheimer, S. ., & Zhu, Z. . (2021). Monocularly Generated 3D High Level Semantic Model by Integrating Deep Learning Models and Traditional Vision Techniques. In 2021 IEEE International Conference on Imaging Systems and Techniques (IST) (p. 6). http://doi.org/10.1109/IST50367.2021.9651471

Chen, J. ., & Zhu, Z. . (2023). Real-Time 3D Object Detection, Recognition and Presentation Using a Mobile Device for Assistive Navigation. SN Computer Science, 4(5). http://doi.org/10.1007/s42979-023-01881-3

Olmschenk, G. ., Wang, X. ., Tang, H. ., & Zhu, Z. . (2021). Impact of Labeling Schemes on Dense Crowd Counting Using Convolutional Neural Networks with Multiscale Upsampling. International Journal of Pattern Recognition and Artificial Intelligence, 35(16). http://doi.org/10.1142/S0218001421600120

Chen, J. ., & Zhu, Z. . (2022). Real-Time 3D Object Detection and Recognition using a Smartphone [Real-Time 3D Object Detection and Recognition using a Smartphone]. In Proceedings of the 2nd International Conference on Image Processing and Vision Engineering - IMPROVE (p. 8). http://doi.org/10.5220/0011060600003209

Li, X. ., Zhang, L. ., & Zhu, Z. . (2022). SnapshotNet: Self-supervised feature learning for point cloud data segmentation using minimal labeled data. Computer Vision and Image Understanding, 216(C), 1. http://doi.org/10.1016/j.cviu.2021.103339

Chen, J. ., Ruci, A. ., Sturdivant, E. ., & Zhu, Z. . (2022). ARMSAINTS: An AR-based Real-time Mobile System for Assistive Indoor Navigation with Target Segmentation. In 2022 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO) (p. 6). http://doi.org/10.1109/ARSO54254.2022.9802970

Wang, X. ., Chen, J. ., Tang, H. ., & Zhu, Z. . (2022). MultiCLU: Multi-stage Context Learning and Utilization for Storefront Accessibility Detection and Evaluation. In ICMR ’22: Proceedings of the 2022 International Conference on Multimedia Retrieval (p. 9). http://doi.org/10.1145/3512527.3531361

Chen, J. ., Ramnath, S. ., Samaroo, T. ., Maksakuli, F. ., Ruci, A. ., Sturdivant, E. ., & Zhu, Z. . (2023). An Integrated Mobile Vision System for Enhancing the Interaction of Blind and Low Vision Users with Their Surroundings [An Integrated Mobile Vision System for Enhancing the Interaction of Blind and Low Vision Users with Their Surroundings]. In Proceedings of the 3rd International Conference on Image Processing and Vision Engineering (p. 8). http://doi.org/10.5220/0011984400003497

Abdulrahman, B. ., & Zhu, Z. . (2023). Real-time pedestrian pose estimation, tracking and localization for social distancing. Machine Vision and Applications, 34(1). http://doi.org/10.1007/s00138-022-01356-0