@inproceedings{li2022bevstereo,title={BEVStereo: Enhancing Depth Estimation in Multi-view 3d Object Detection with Dynamic Temporal Stereo},author={Li, Yinhao and Bao, Han and Ge, Zheng and Yang, Jinrong and Sun, Jianjian and Li, Zeming},booktitle={Proceeding of Association for the Advancement of Artificial Intelligence (AAAI)},year={2023},}
AAAI’23
BEVDepth: Acquisition of Reliable Depth for Multi-view 3d Object Detection
Yinhao Li, Zheng Ge, Guanyi Yu, Jinrong Yang, Zengran Wang, and 3 more authors
In Proceeding of Association for the Advancement of Artificial Intelligence (AAAI), 2023
@inproceedings{li2022bevdepth,title={BEVDepth: Acquisition of Reliable Depth for Multi-view 3d Object Detection},author={Li, Yinhao and Ge, Zheng and Yu, Guanyi and Yang, Jinrong and Wang, Zengran and Shi, Yukang and Sun, Jianjian and Li, Zeming},booktitle={Proceeding of Association for the Advancement of Artificial Intelligence (AAAI)},year={2023},}
2022
ECCV’22
Dense Teacher: Dense Pseudo-labels for Semi-supervised Object Detection
Hongyu Zhou, Zheng Ge, Songtao Liu, Weixin Mao, Zeming Li, and 2 more authors
In Proceeding of the European Conference on Computer Vision (ECCV), 2022
@inproceedings{zhou2022dense,title={Dense Teacher: Dense Pseudo-labels for Semi-supervised Object Detection},author={Zhou, Hongyu and Ge, Zheng and Liu, Songtao and Mao, Weixin and Li, Zeming and Yu, Haiyan and Sun, Jian},booktitle={Proceeding of the European Conference on Computer Vision (ECCV)},year={2022},}
2021
Arxiv
YOLOX: Exceeding Yolo Series in 2021
Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, and Jian Sun
@article{ge2021yolox,title={YOLOX: Exceeding Yolo Series in 2021},author={Ge, Zheng and Liu, Songtao and Wang, Feng and Li, Zeming and Sun, Jian},year={2021},}
CVPR’21
OTA: Optimal Transport Assignment for Object Detection
Zheng Ge, Songtao Liu, Zeming Li, Osamu Yoshie, and Jian Sun
In Proceeding of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
@inproceedings{ge2021ota,title={OTA: Optimal Transport Assignment for Object Detection},author={Ge, Zheng and Liu, Songtao and Li, Zeming and Yoshie, Osamu and Sun, Jian},booktitle={Proceeding of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},year={2021},}
2020
CVPR’20
NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing
Xin Huang, Zheng Ge, Zequn Jie, and Osamu Yoshie
In Proceeding of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
@inproceedings{huang2020nms,title={NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing},author={Huang, Xin and Ge, Zheng and Jie, Zequn and Yoshie, Osamu},booktitle={Proceeding of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},year={2020},}