Yihan Zeng

According to our database, Yihan Zeng authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy Representation.

Haochen Jiang, Yueming Xu, Yihan Zeng, Hang Xu, Wei Zhang, Jianfeng Feng, Li Zhang

CoRR, 2024

2023

PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion.

Guansong Lu, Yuanfan Guo, Jianhua Han, Minzhe Niu, Yihan Zeng, Songcen Xu, Zeyi Huang, Zhao Zhong, Wei Zhang, Hang Xu

CoRR, 2023

DreamControl: Control-Based Text-to-3D Generation with 3D Self-Prior.

Tianyu Huang, Yihan Zeng, Zhilu Zhang, Wan Xu, Hang Xu, Songcen Xu, Rynson W. H. Lau, Wangmeng Zuo

CoRR, 2023

TextField3D: Towards Enhancing Open-Vocabulary 3D Generation with Noisy Text Fields.

Tianyu Huang, Yihan Zeng, Bowen Dong, Hang Xu, Songcen Xu, Rynson W. H. Lau, Wangmeng Zuo

CoRR, 2023

Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images.

Cuican Yu, Guansong Lu, Yihan Zeng, Jian Sun, Xiaodan Liang, Huibin Li, Zongben Xu, Songcen Xu, Wei Zhang, Hang Xu

CoRR, 2023

DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability.

Runhui Huang, Jianhua Han, Guansong Lu, Xiaodan Liang, Yihan Zeng, Wei Zhang, Hang Xu

CoRR, 2023

CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection.

Yang Cao, Yihan Zeng, Hang Xu, Dan Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SUIT: Learning Significance-Guided Information for 3D Temporal Detection.

Zheyuan Zhou, Jiachen Lu, Yihan Zeng, Hang Xu, Li Zhang

IROS, 2023

Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images.

Cuican Yu, Guansong Lu, Yihan Zeng, Jian Sun, Xiaodan Liang, Huibin Li, Zongben Xu, Songcen Xu, Wei Zhang, Hang Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability.

Runhui Huang, Jianhua Han, Guansong Lu, Xiaodan Liang, Yihan Zeng, Wei Zhang, Hang Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CLIP²: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data.

Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

LIFT: Learning 4D LiDAR Image Fusion Transformer for 3D Object Detection.

Yihan Zeng, Da Zhang, Chunwei Wang, Zhenwei Miao, Ting Liu, Xin Zhan, Dayang Hao, Chao Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-training.

Yihan Zeng, Chunwei Wang, Yunbo Wang, Hang Xu, Chaoqiang Ye, Zhen Yang, Chao Ma

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Cross-Modal 3D Object Detection and Tracking for Auto-Driving.

Yihan Zeng, Chao Ma, Ming Zhu, Zhiming Fan, Xiaokang Yang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021