Haitao Yang

Orcid: 0009-0004-9992-6387

Affiliations:
  • University of Texas at Austin, TX, USA


According to our database1, Haitao Yang authored at least 12 papers between 2020 and 2025.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
GenAnalysis: Joint Shape Analysis by Learning Man-Made Shape Generators with Deformation Regularizations.
ACM Trans. Graph., August, 2025

Text-Guided Interactive Scene Synthesis with Scene Prior Guidance.
Comput. Graph. Forum, 2025

Atlas Gaussians Diffusion for 3D Generation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Atlas Gaussians Diffusion for 3D Generation with Infinite Number of Points.
CoRR, 2024

4DRecons: 4D Neural Implicit Deformable Objects Reconstruction from a single RGB-D Camera with Geometrical and Topological Regularizations.
CoRR, 2024

CoFie: Learning Compact Neural Surface Representations with Coordinate Fields.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
GeoLatent: A Geometric Approach to Latent Space Design for Deformable Shape Generators.
ACM Trans. Graph., December, 2023

LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene Generation.
CoRR, 2023

2021
Scene Synthesis via Uncertainty-Driven Attribute Synchronization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Dense Correspondences between Human Bodies via Learning Transformation Synchronization on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

H3DNet: 3D Object Detection Using Hybrid Geometric Primitives.
Proceedings of the Computer Vision - ECCV 2020, 2020


  Loading...