Yaohua Zha

31 papers A* 14A 1Misc 2Journal 14
YearRankTypeTitle / Venue / Authors
2026 A* conf
CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection.
AAAI
Yaohua Zha, Xue Yuerong, Chunlin Fan, Yuansong Wang, Tao Dai, Ke Chen, Shu-Tao Xia
2026 J jnl
CP Loss: Channel-wise Perceptual Loss for Time Series Forecasting.
CoRR
Yaohua Zha, Chunlin Fan, Peiyuan Liu, Yong Jiang, Tao Dai, Hai Wu, Shu-Tao Xia
2025 A* conf
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception.
CVPR
Baixuan Lv, Yaohua Zha, Tao Dai, Xue Yuerong, Ke Chen, Shu-Tao Xia
2025 J jnl
CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection.
CoRR
Yaohua Zha, Xue Yuerong, Chunlin Fan, Yuansong Wang, Tao Dai, Ke Chen, Shu-Tao Xia
2025 A* conf
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning.
CVPR
Jinpeng Wang, Tianci Luo, Yaohua Zha, Yan Feng, Ruisheng Luo, Bin Chen, Tao Dai, Long Chen, Yaowei Wang, Shu-Tao Xia
2025 J jnl
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning.
CoRR
Jinpeng Wang, Tianci Luo, Yaohua Zha, Yan Feng, Ruisheng Luo, Bin Chen, Tao Dai, Long Chen, Yaowei Wang, Shu-Tao Xia
2025 A* conf
Expert-Enhanced Masked Point Modeling for Point Cloud Self-Supervised Learning.
ICRA
Yujun Liu, Yaohua Zha, Naiqi Li, Tao Dai, Bin Chen, Shu-Tao Xia
2025 A* conf
GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud.
AAAI
Tao Dai, Yanzi Wang, Jianyu Xiong, Yaohua Zha, Shu-Tao Xia, Zexuan Zhu
2025 A* conf
MambaIRv2: Attentive State Space Restoration.
CVPR
Hang Guo, Yong Guo, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, Yawei Li
2025 A* conf
PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter.
CVPR
Yaohua Zha, Yanzi Wang, Hang Guo, Jinpeng Wang, Tao Dai, Bin Chen, Zhihao Ouyang, Xue Yuerong, Ke Chen, Shu-Tao Xia
2025 J jnl
PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter.
CoRR
Yaohua Zha, Yanzi Wang, Hang Guo, Jinpeng Wang, Tao Dai, Bin Chen, Zhihao Ouyang, Xue Yuerong, Ke Chen, Shu-Tao Xia
2025 A* conf
Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning.
IJCAI
Yaohua Zha, Tao Dai, Hang Guo, Yanzi Wang, Bin Chen, Ke Chen, Shu-Tao Xia
2024 J jnl
Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked Autoencoders.
CoRR
Yaohua Zha, Tao Dai, Yanzi Wang, Hang Guo, Taolin Zhang, Zhihao Ouyang, Chunlin Fan, Bin Chen, Ke Chen, Shu-Tao Xia
2024 A* conf
Invertible Residual Rescaling Models.
IJCAI
Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang
2024 J jnl
Invertible Residual Rescaling Models.
CoRR
Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang
2024 A* conf
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling.
NeurIPS
Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia
2024 J jnl
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling.
CoRR
Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia
2024 A conf
LR-MAE: Locate while Reconstructing with Masked Autoencoders for Point Cloud Self-supervised Learning.
ICME
Huizhen Ji, Yaohua Zha, Qingmin Liao
2024 A* conf
Large Point-to-Gaussian Model for Image-to-3D Generation.
ACM Multimedia
Longfei Lu, Huachen Gao, Tao Dai, Yaohua Zha, Zhi Hou, Junta Wu, Shu-Tao Xia
2024 J jnl
Large Point-to-Gaussian Model for Image-to-3D Generation.
CoRR
Longfei Lu, Huachen Gao, Tao Dai, Yaohua Zha, Zhi Hou, Junta Wu, Shu-Tao Xia
2024 J jnl
MambaIRv2: Attentive State Space Restoration.
CoRR
Hang Guo, Yong Guo, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, Yawei Li
2024 J jnl
Pre-training Point Cloud Compact Model with Partial-aware Reconstruction.
CoRR
Yaohua Zha, Yanzi Wang, Tao Dai, Shu-Tao Xia
2024 A* conf
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation.
NeurIPS
Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-Tao Xia
2024 J jnl
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation.
CoRR
Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-Tao Xia
2024 A* conf
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders.
AAAI
Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia
2024 J jnl
Towards Scalable Semantic Representation for Recommendation.
CoRR
Taolin Zhang, Junwei Pan, Jinpeng Wang, Yaohua Zha, Tao Dai, Bin Chen, Ruisheng Luo, Xiaoxiang Deng, Yuan Wang, Ming Yue, Jie Jiang, Shu-Tao Xia
2023 A* conf
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models.
ICCV
Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia
2023 J jnl
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models.
CoRR
Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia
2023 Misc conf
SFR: Semantic-Aware Feature Rendering of Point Cloud.
ICASSP
Yaohua Zha, Rongsheng Li, Tao Dai, Jianyu Xiong, Xin Wang, Shu-Tao Xia
2023 Misc conf
Semantic Preserving Learning for Task-Oriented Point Cloud Downsampling.
ICASSP
Jianyu Xiong, Tao Dai, Yaohua Zha, Xin Wang, Shu-Tao Xia
2023 J jnl
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders.
CoRR
Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia