Zekun Qi

2022202320241 84 76

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Kaisheng MaInstitute for Interdisciplinary Information Sciences, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
Li YiTsinghua UniversityVerified email at mail.tsinghua.edu.cn
Zheng GeMegvii TechnologyVerified email at fuji.waseda.jp
Xiangyu ZhangPrincipal Researcher, MEGVII TechnologyVerified email at megvii.com
Jinrong YangHuazhong University of Science and TechnologyVerified email at hust.edu.cn
He WangAssistant Professor of Computer Science, Peking UniversityVerified email at pku.edu.cn

Zekun Qi

Verified email at stu.xjtu.edu.cn - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? R Dong, Z Qi, L Zhang, J Zhang, J Sun, Z Ge, L Yi, K Ma ICLR 2023, 2022	54	2022
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining Z Qi, R Dong, G Fan, Z Ge, X Zhang, K Ma, L Yi ICML 2023, 2023	53	2023
Dreamllm: Synergistic multimodal comprehension and creation R Dong, C Han, Y Peng, Z Qi, Z Ge, J Yang, L Zhao, J Sun, H Zhou, H Wei, ... ICLR 2024 (Spotlight), 2023	46	2023
VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation Z Qi, M Yu, R Dong, K Ma NeurIPS 2023, 2023	5*	2023
Point-gcc: Universal self-supervised 3d scene pre-training via geometry-color contrast G Fan, Z Qi, W Shi, K Ma arXiv preprint arXiv:2305.19623, 2023	3	2023
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction Z Qi, R Dong, S Zhang, H Geng, C Han, Z Ge, L Yi, K Ma arXiv preprint arXiv:2402.17766, 2024	2	2024

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