Yihan Zeng

According to our database, Yihan Zeng authored at least 25 papers between 2021 and 2025.

Collaborative distances:

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

2025

C2-Evo: Co-Evolving Multimodal Data and Model for Self-Improving Reasoning.

Xiuwei Chen, Wentao Hu, Hanhui Li, Jun Zhou, Zisheng Chen, Meng Cao, Yihan Zeng, Kui Zhang, Yu-Jie Yuan, Jianhua Han, Hang Xu, Xiaodan Liang

CoRR, July, 2025

CoherenDream: Boosting Holistic Text Coherence in 3D Generation via Multimodal Large Language Models Feedback.

Chenhan Jiang, Yihan Zeng, Hang Xu, Dit-Yan Yeung

CoRR, April, 2025

Can Atomic Step Decomposition Enhance the Self-structured Reasoning of Multimodal Large Models?

Kun Xiang, Zhili Liu, Zihao Jiang, Yunshuang Nie, Kaixin Cai, Yiyang Yin, Runhui Huang, Haoxiang Fan, Hanhui Li, Weiran Huang, Yihan Zeng, Yu-Jie Yuan, Jianhua Han, Lanqing Hong, Hang Xu, Xiaodan Liang

CoRR, March, 2025

Corrupted but Not Broken: Rethinking the Impact of Corrupted Data in Visual Instruction Tuning.

Yunhao Gou, Hansi Yang, Zhili Liu, Kai Chen, Yihan Zeng, Lanqing Hong, Zhenguo Li, Qun Liu, James T. Kwok, Yu Zhang

CoRR, February, 2025

FramePainter: Endowing Interactive Image Editing with Video Diffusion Priors.

Yabo Zhang, Xinpeng Zhou, Yihan Zeng, Hang Xu, Hui Li, Wangmeng Zuo

CoRR, January, 2025

UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting.

Haoyuan Li, Yanpeng Zhou, Tao Tang, Jifei Song, Yihan Zeng, Michael Kampffmeyer, Hang Xu, Xiaodan Liang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions.

Kai Chen, Yunhao Gou, Runhui Huang, Zhili Liu, Daxin Tan, Jing Xu, Chunwei Wang, Yi Zhu, Yihan Zeng, Kuo Yang, Dingdong Wang, Kun Xiang, Haoyuan Li, Haoli Bai, Jianhua Han, Xiaohui Li, Weike Jin, Nian Xie, Yu Zhang, James T. Kwok, Hengshuang Zhao, Xiaodan Liang, Dit-Yan Yeung, Xiao Chen, Zhenguo Li, Wei Zhang, Qun Liu, Lanqing Hong, Lu Hou, Hang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

DreamPhysics: Learning Physics-Based 3D Dynamics with Video Diffusion Priors.

Tianyu Huang, Haoze Zhang, Yihan Zeng, Zhilu Zhang, Hui Li, Wangmeng Zuo, Rynson W. H. Lau

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

AtomThink: A Slow Thinking Framework for Multimodal Mathematical Reasoning.

Kun Xiang, Zhili Liu, Zihao Jiang, Yunshuang Nie, Runhui Huang, Haoxiang Fan, Hanhui Li, Weiran Huang, Yihan Zeng, Jianhua Han, Lanqing Hong, Hang Xu, Xiaodan Liang

CoRR, 2024

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions.

Kai Chen, Yunhao Gou, Runhui Huang, Zhili Liu, Daxin Tan, Jing Xu, Chunwei Wang, Yi Zhu, Yihan Zeng, Kuo Yang, Dingdong Wang, Kun Xiang, Haoyuan Li, Haoli Bai, Jianhua Han, Xiaohui Li, Weike Jin, Nian Xie, Yu Zhang, James T. Kwok, Hengshuang Zhao, Xiaodan Liang, Dit-Yan Yeung, Xiao Chen, Zhenguo Li, Wei Zhang, Qun Liu, Jun Yao, Lanqing Hong, Lu Hou, Hang Xu

CoRR, 2024

DreamPhysics: Learning Physical Properties of Dynamic 3D Gaussians with Video Diffusion Priors.

Tianyu Huang, Yihan Zeng, Hui Li, Wangmeng Zuo, Rynson W. H. Lau

CoRR, 2024

Collaborative Novel Object Discovery and Box-Guided Cross-Modal Alignment for Open-Vocabulary 3D Object Detection.

Yang Cao, Yihan Zeng, Hang Xu, Dan Xu

CoRR, 2024

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

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation.

Chenhan Jiang, Yihan Zeng, Tianyang Hu, Songcun Xu, Wei Zhang, Hang Xu, Dit-Yan Yeung

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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