Peihao Wang

Orcid: 0000-0003-0657-1595

According to our database¹, Peihao Wang authored at least 36 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D.

[BibT_eX]

[DOI]

CoRR, 2024

Generalization Error Analysis for Sparse Mixture-of-Experts: A Preliminary Study.

[BibT_eX]

[DOI]

Jinze Zhao

Peihao Wang

Zhangyang Wang

CoRR, 2024

Taming Mode Collapse in Score Distillation for Text-to-3D Generation.

[BibT_eX]

[DOI]

CoRR, 2024

SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Integrating the traffic science with representation learning for city-wide network congestion prediction.

[BibT_eX]

[DOI]

Inf. Fusion, November, 2023

Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Meta ControlNet: Enhancing Task Adaptation via Meta Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Drag View: Generalizable Novel View Synthesis with Unposed Imagery.

[BibT_eX]

[DOI]

CoRR, 2023

Polynomial Width is Sufficient for Set Representation with High-dimensional Features.

[BibT_eX]

[DOI]

CoRR, 2023

Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images.

[BibT_eX]

[DOI]

CoRR, 2023

POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference.

[BibT_eX]

[DOI]

CoRR, 2023

Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Data Efficient Neural Scaling Law via Model Reusing.

[BibT_eX]

[DOI]

Peihao Wang

Rameswar Panda

Zhangyang Wang

Proceedings of the International Conference on Machine Learning, 2023

Equivariant Hypergraph Diffusion Neural Operators.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Grow Pretrained Models for Efficient Transformer Training.

[BibT_eX]

[DOI]

Peihao Wang

Rameswar Panda

Lucas Torroba Hennigen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Is Attention All That NeRF Needs?

[BibT_eX]

[DOI]

Subhashini Venugopalan

Zhangyang Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Vision HGNN: An Image is More than a Graph of Nodes.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NeuralLift-360: Lifting an in-the-Wild 2D Photo to A 3D Object with 360° Views.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

TightCap: 3D Human Shape Capture with Clothing Tightness Field.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2022

Is Attention All NeRF Needs?

[BibT_eX]

[DOI]

Subhashini Venugopalan

Zhangyang Wang

CoRR, 2022

Neural Implicit Dictionary via Mixture-of-Expert Training.

[BibT_eX]

[DOI]

CoRR, 2022

Signal Processing for Implicit Neural Representations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Implicit Dictionary Learning via Mixture-of-Expert Training.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Unified Implicit Neural Stylization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

SoGCN: Second-Order Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Towards 3D Human Shape Recovery Under Clothing.

[BibT_eX]

[DOI]

CoRR, 2019

Peihao Wang

Timeline

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