Ziyi Wang

Orcid: 0000-0002-9007-1210

Affiliations:
  • Tsinghua University, Department of Automation, State Key Lab of Intelligent Technologies and Systems, Beijing National Research Center for Information Science and Technology, China


According to our database1, Ziyi Wang authored at least 17 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
HY-Embodied-0.5: Embodied Foundation Models for Real-World Agents.
CoRR, April, 2026

Moaw: Unleashing Motion Awareness for Video Diffusion Models.
CoRR, January, 2026

2025
Joint 3D Geometry Reconstruction and Motion Generation for 4D Synthesis from a Single Image.
CoRR, December, 2025

GeoVista: Web-Augmented Agentic Visual Reasoning for Geolocalization.
CoRR, November, 2025

Vision Generalist Model: A Survey.
Int. J. Comput. Vis., October, 2025

OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View.
CoRR, June, 2025

UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Point-to-Pixel Prompting for Point Cloud Analysis With Pre-Trained Image Models.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
AdaPoinTr: Diverse Point Cloud Completion With Adaptive Geometry-Aware Transformers.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

3D Point-Voxel Correlation Fields for Scene Flow Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Towards Interpretable Deep Metric Learning with Structural Matching.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021


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