( en | de | ru )

 

Disambiguation of "Zhu, Alex Zihao"

Author of the publication

copydeleteadd this publication to your clipboard
Superpixel Transformers for Efficient Semantic Segmentation.

, , , , , , and . IROS, page 7651-7658. (2023)

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.

Maria Alexopoulou

Ethnic Foreign Policy und Identitätsbildung: die Griechisch-Amerikaner (1964 - 1978). FU Berlin, (2007)

Junjiang Zhu

Zhu Dai

Yongming Zhu

Changbao Zhu

 

Other publications of authors with the same name

Waymo Open Dataset: Panoramic Video Panoptic Segmentation., , , , , , and . ECCV (29), volume 13689 of Lecture Notes in Computer Science, page 53-72. Springer, (2022)Instance Segmentation with Cross-Modal Consistency., , , , and . IROS, page 2009-2016. IEEE, (2022)Live Demonstration: Unsupervised Event-Based Learning of Optical Flow, Depth and Egomotion., , , and . CVPR Workshops, page 1694. Computer Vision Foundation / IEEE, (2019)Learning Event-Based Height From Plane and Parallax., , and . CVPR Workshops, page 1634-1637. Computer Vision Foundation / IEEE, (2019)EventGAN: Leveraging Large Scale Image Datasets for Event Cameras., , , and . ICCP, page 1-11. IEEE, (2021)EventGAN: Leveraging Large Scale Image Datasets for Event Cameras., , , and . CoRR, (2019)Unsupervised Event-Based Optical Flow Using Motion Compensation., , , and . ECCV Workshops (6), volume 11134 of Lecture Notes in Computer Science, page 711-714. Springer, (2018)Spike-FlowNet: Event-Based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks., , , , , and . ECCV (29), volume 12374 of Lecture Notes in Computer Science, page 366-382. Springer, (2020)Superpixel Transformers for Efficient Semantic Segmentation., , , , , , and . IROS, page 7651-7658. (2023)Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion., , , and . CVPR, page 989-997. Computer Vision Foundation / IEEE, (2019)