2024 GeoBench: Benchmarking and Analyzing Monocular Geometry Estimation Models Yongtao Ge, Guangkai Xu, Zhiyue Zhao, Zheng Huang, Libo Sun, Yanlong Sun, Hao Chen, and Chunhua Shen arXiv preprint arXiv:2406.12671, 2024 Bib Code @article{ge2024geobench, title = {GeoBench: Benchmarking and Analyzing Monocular Geometry Estimation Models}, author = {Ge, Yongtao and Xu, Guangkai and Zhao, Zhiyue and Huang, Zheng and Sun, Libo and Sun, Yanlong and Chen, Hao and Shen, Chunhua}, journal = {arXiv preprint arXiv:2406.12671}, booktitle = {arXiv.org}, year = {2024} } 3D Human Reconstruction in the Wild with Synthetic Data Using Generative Models Yongtao Ge, Wenjia Wang, Yongfan Chen, Hao Chen, and Chunhua Shen In arXiv.org, 2024 Bib PDF Code @inproceedings{ge2024humanwild, title = {3D Human Reconstruction in the Wild with Synthetic Data Using Generative Models}, booktitle = {arXiv.org}, author = {Ge, Yongtao and Wang, Wenjia and Chen, Yongfan and Chen, Hao and Shen, Chunhua}, year = {2024} } Diffusion Models Trained with Large Data Are Transferable Visual Models Guangkai Xu, Yongtao Ge, Mingyu Liu, Chengxiang Fan, Kangyang Xie, Zhiyue Zhao, Hao Chen, and Chunhua Shen In arXiv.org, 2024 Bib PDF @inproceedings{xu2024genpercept, title = {Diffusion Models Trained with Large Data Are Transferable Visual Models}, author = {Xu, Guangkai and Ge, Yongtao and Liu, Mingyu and Fan, Chengxiang and Xie, Kangyang and Zhao, Zhiyue and Chen, Hao and Shen, Chunhua}, booktitle = {arXiv.org}, year = {2024} } 2023 Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction Wenjia Wang, Yongtao Ge, Haiyi Mei, Zhongang Cai, Qingping Sun, Yanjun Wang, Chunhua Shen, Lei Yang, and Komura Taku In Proc. of the IEEE International Conf. on Computer Vision (ICCV Oral), 2023 Bib PDF Code @inproceedings{wang2023zolly, title = {Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction}, booktitle = {Proc. of the IEEE International Conf. on Computer Vision (ICCV Oral)}, stars = {<a href="https://github.com/WenjiaWang0312/Zolly"> <img alt="GitHub Repo stars" style="vertical-align: top" src="https://img.shields.io/github/stars/WenjiaWang0312/Zolly?style=social"> </a>}, author = {Wang, Wenjia and Ge, Yongtao and Mei, Haiyi and Cai, Zhongang and Sun, Qingping and Wang, Yanjun and Shen, Chunhua and Yang, Lei and Taku, Komura}, year = {2023} } Point-Teaching: Weakly Semi-Supervised Object Detection with Point Annotations Yongtao Ge*, Qiang Zhou*, Xinlong Wang, Chunhua Shen, Zhibin Wang, and Hao Li In AAAI Conference on Artificial Intelligence (AAAI), 2023 Bib PDF Code @inproceedings{ge2023point, title = {Point-Teaching: Weakly Semi-Supervised Object Detection with Point Annotations}, author = {Ge*, Yongtao and Zhou*, Qiang and Wang, Xinlong and Shen, Chunhua and Wang, Zhibin and Li, Hao}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2023} } 2022 Poseur: Direct Human Pose Regression with Transformers Weian Mao*, Yongtao Ge*, Chunhua Shen, Zhi Tian, Xinlong Wang, Zhibin Wang, and Anton van den Hengel In Proc. of the European Conf. on Computer Vision (ECCV), 2022 Bib PDF Supp Code @inproceedings{mao2022poseur, title = {Poseur: Direct Human Pose Regression with Transformers}, booktitle = {Proc. of the European Conf. on Computer Vision (ECCV)}, stars = { <a href="https://github.com/aim-uofa/Poseur"> <img alt="GitHub Repo stars" style="vertical-align: top" src="https://img.shields.io/github/stars/aim-uofa/Poseur?style=social"> </a>}, author = {Mao*, Weian and Ge*, Yongtao and Shen, Chunhua and Tian, Zhi and Wang, Xinlong and Wang, Zhibin and Hengel, Anton van den}, year = {2022} }