( en | de | ru )

 

Disambiguation of "Yan, Zengqiang"

Author of the publication

copydeleteadd this publication to your clipboard
Describing Upper-Body Motions Based on Labanotation for Learning-from-Observation Robots.

, , , , and . Int. J. Comput. Vis., 126 (12): 1415-1429 (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Yan Yan

Shanshan Yan

Americanization in China: an analysis of General Motors and its strategies in China. Uni Mainz, (2009)

Yan Xu

Untersuchungen zur Verleimung von Holz und Holzspanplatten mit UF-Leimharzen und PMDI. TU Braunschweig, (2009)

Yan Xu

Yan Zeng

 

Other publications of authors with the same name

Joint Segment-Level and Pixel-Wise Losses for Deep Learning Based Retinal Vessel Segmentation., , and . IEEE Trans. Biomed. Eng., 65 (9): 1912-1923 (2018)FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation., , , , , , and . IEEE Trans. Medical Imaging, 42 (7): 1955-1968 (2023)Uncertainty-Aware Deep Learning With Cross-Task Supervision for PHE Segmentation on CT Images., , , , , and . IEEE J. Biomed. Health Informatics, 26 (6): 2615-2626 (2022)ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation., , , , and . MICCAI (4), volume 14223 of Lecture Notes in Computer Science, page 642-651. Springer, (2023)DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation., , , , , and . AAAI, page 5814-5822. AAAI Press, (2024)FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity., , , , and . IJCAI, page 4424-4432. ijcai.org, (2023)SAMCT: Segment Any CT Allowing Labor-Free Task-Indicator Prompts., , , , , and . CoRR, (2024)Enabling a Single Deep Learning Model for Accurate Gland Instance Segmentation: A Shape-Aware Adversarial Learning Framework., , and . IEEE Trans. Medical Imaging, 39 (6): 2176-2189 (2020)Texture-free large-area depth recovery for planar surfaces., , and . MMSP, page 1-6. IEEE, (2015)FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation., , , , , , and . CoRR, (2022)