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Yaohua Zha
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Conference and Workshop Papers
- 2024
- [c7]Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia:
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders. AAAI 2024: 6962-6970 - [c6]Huizhen Ji, Yaohua Zha, Qingmin Liao:
LR-MAE: Locate while Reconstructing with Masked Autoencoders for Point Cloud Self-supervised Learning. ICME 2024: 1-6 - [c5]Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang:
Invertible Residual Rescaling Models. IJCAI 2024: 983-991 - [c4]Longfei Lu, Huachen Gao, Tao Dai, Yaohua Zha, Zhi Hou, Junta Wu, Shu-Tao Xia:
Large Point-to-Gaussian Model for Image-to-3D Generation. ACM Multimedia 2024: 10843-10852 - 2023
- [c3]Jianyu Xiong, Tao Dai, Yaohua Zha, Xin Wang, Shu-Tao Xia:
Semantic Preserving Learning for Task-Oriented Point Cloud Downsampling. ICASSP 2023: 1-5 - [c2]Yaohua Zha, Rongsheng Li, Tao Dai, Jianyu Xiong, Xin Wang, Shu-Tao Xia:
SFR: Semantic-Aware Feature Rendering of Point Cloud. ICASSP 2023: 1-5 - [c1]Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia:
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models. ICCV 2023: 14115-14124
Informal and Other Publications
- 2024
- [i7]Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang:
Invertible Residual Rescaling Models. CoRR abs/2405.02945 (2024) - [i6]Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia:
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling. CoRR abs/2405.17149 (2024) - [i5]Yaohua Zha, Yanzi Wang, Tao Dai, Shu-Tao Xia:
Pre-training Point Cloud Compact Model with Partial-aware Reconstruction. CoRR abs/2407.09344 (2024) - [i4]Longfei Lu, Huachen Gao, Tao Dai, Yaohua Zha, Zhi Hou, Junta Wu, Shu-Tao Xia:
Large Point-to-Gaussian Model for Image-to-3D Generation. CoRR abs/2408.10935 (2024) - [i3]Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-Tao Xia:
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation. CoRR abs/2410.05601 (2024) - 2023
- [i2]Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia:
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models. CoRR abs/2304.07221 (2023) - [i1]Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia:
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders. CoRR abs/2312.10726 (2023)
Coauthor Index
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