Zha, Yaohua

11 publications

CVPR 2025 Adapting Pre-Trained 3D Models for Point Cloud Video Understanding via Cross-Frame Spatio-Temporal Perception Baixuan Lv, Yaohua Zha, Tao Dai, Xue Yuerong, Ke Chen, Shu-Tao Xia

CVPR 2025 Embracing Collaboration over Competition: Condensing Multiple Prompts for Visual In-Context Learning Jinpeng Wang, Tianci Luo, Yaohua Zha, Yan Feng, Ruisheng Luo, Bin Chen, Tao Dai, Long Chen, Yaowei Wang, Shu-Tao Xia

AAAI 2025 GCD-Sampling: A General Cross-Scale Decoupled Sampling for Point Cloud Tao Dai, Yanzi Wang, Jianyu Xiong, Yaohua Zha, Shu-Tao Xia, Zexuan Zhu

CVPR 2025 MambaIRv2: Attentive State Space Restoration Hang Guo, Yong Guo, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, Yawei Li

CVPR 2025 PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter Yaohua Zha, Yanzi Wang, Hang Guo, Jinpeng Wang, Tao Dai, Bin Chen, Zhihao Ouyang, Xue Yuerong, Ke Chen, Shu-Tao Xia

IJCAI 2025 Point Cloud Mixture-of-Domain-Experts Model for 3D Self-Supervised Learning Yaohua Zha, Tao Dai, Hang Guo, Yanzi Wang, Bin Chen, Ke Chen, Shu-Tao Xia

IJCAI 2024 Invertible Residual Rescaling Models Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang

NeurIPS 2024 LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia

NeurIPS 2024 ReFIR: Grounding Large Restoration Models with Retrieval Augmentation Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-tao Xia

AAAI 2024 Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia

ICCV 2023 Instance-Aware Dynamic Prompt Tuning for Pre-Trained Point Cloud Models Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia