Bo Yang

Orcid: 0009-0008-1065-4979

Affiliations:
  • Tencent Games, DCC Algorithm Research Center, Los Angeles, CA, USA
  • University of Southern California, Los Angeles, CA, USA (PhD 2012)


According to our database1, Bo Yang authored at least 17 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DualPrim: Compact 3D Reconstruction with Positive and Negative Primitives.
CoRR, March, 2026

Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling.
CoRR, February, 2026

2025
HSDF: Hybrid Sign and Distance Field for Neural Representation of Surfaces With Arbitrary Topologies.
IEEE Trans. Vis. Comput. Graph., September, 2025

SPGen: Spherical Projection as Consistent and Flexible Representation for Single Image 3D Shape Generation.
Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

2024
DreamUDF: Generating Unsigned Distance Fields from A Single Image.
ACM Trans. Graph., December, 2024

NeUDF: Learning Neural Unsigned Distance Fields With Volume Rendering.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

2023
ImplicitPCA: Implicitly-proxied parametric encoding for collision-aware garment reconstruction.
Graph. Model., October, 2023

NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from Multi-View Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
HSDF: Hybrid Sign and Distance Field for Modeling Surfaces with Arbitrary Topologies.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

3PSDF: Three-Pole Signed Distance Function for Learning Surfaces with Arbitrary Topologies.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
OctField: Hierarchical Implicit Functions for 3D Modeling.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Multi-Scale Networks for 3D Human Pose Estimation with Inference Stage Optimization.
CoRR, 2020

3D Human Pose Estimation Using Spatio-Temporal Networks with Explicit Occlusion Training.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Occlusion-Aware Networks for 3D Human Pose Estimation in Video.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019


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