Haoyi Zhu
Orcid: 0000-0003-1153-5230
According to our database1,
Haoyi Zhu
authored at least 24 papers
between 2020 and 2025.
Collaborative distances:
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Bibliography
2025
Bridge Thinking and Acting: Unleashing Physical Potential of VLM with Generalizable Action Expert.
CoRR, October, 2025
CoRR, September, 2025
CoRR, September, 2025
IEEE Trans. Pattern Anal. Mach. Intell., August, 2025
CoRR, August, 2025
CoRR, July, 2025
VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers.
CoRR, July, 2025
CoMo: Learning Continuous Latent Motion from Internet Videos for Scalable Robot Learning.
CoRR, May, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Tra-MoE: Learning Trajectory Prediction Model from Multiple Domains for Adaptive Policy Conditioning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild.
CoRR, 2024
Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023
PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm.
CoRR, 2023
X-NeRF: Explicit Neural Radiance Field for Multi-Scene 360<sup>°</sup> Insufficient RGB-D Views.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
2022
X-NeRF: Explicit Neural Radiance Field for Multi-Scene 360$^{\circ} $ Insufficient RGB-D Views.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Unsupervised Multi-Task Learning for 3D Subtomogram Image Alignment, Clustering and Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2020