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Peihao Wang
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2020 – today
- 2024
- [c22]Panwang Pan, Zhiwen Fan, Brandon Y. Feng, Peihao Wang, Chenxin Li, Zhangyang Wang:
Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images. 3DV 2024: 1059-1071 - [c21]Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li:
Polynomial Width is Sufficient for Set Representation with High-dimensional Features. ICLR 2024 - [i28]Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra:
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity. CoRR abs/2401.00604 (2024) - [i27]Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra:
Taming Mode Collapse in Score Distillation for Text-to-3D Generation. CoRR abs/2401.00909 (2024) - [i26]Jinze Zhao, Peihao Wang, Zhangyang Wang:
Generalization Error Analysis for Sparse Mixture-of-Experts: A Preliminary Study. CoRR abs/2403.17404 (2024) - [i25]Mukund Varma T., Peihao Wang, Zhiwen Fan, Zhangyang Wang, Hao Su, Ravi Ramamoorthi:
Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D. CoRR abs/2403.18922 (2024) - 2023
- [j3]Wenqing Zheng, Hao (Frank) Yang, Jiarui Cai, Peihao Wang, Xuan Jiang, Simon Shaolei Du, Yinhai Wang, Zhangyang Wang:
Integrating the traffic science with representation learning for city-wide network congestion prediction. Inf. Fusion 99: 101837 (2023) - [j2]Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang:
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2769-2781 (2023) - [c20]Shun Lu, Yu Hu, Peihao Wang, Yan Han, Jianchao Tan, Jixiang Li, Sen Yang, Ji Liu:
PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor. AAAI 2023: 8957-8965 - [c19]Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang:
NeuralLift-360: Lifting an in-the-Wild 2D Photo to A 3D Object with 360° Views. CVPR 2023: 4479-4489 - [c18]Wenyan Cong, Hanxue Liang, Peihao Wang, Zhiwen Fan, Tianlong Chen, Mukund Varma T., Yi Wang, Zhangyang Wang:
Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts. ICCV 2023: 3170-3181 - [c17]Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, Zhangyang Wang:
Vision HGNN: An Image is More than a Graph of Nodes. ICCV 2023: 19821-19831 - [c16]Zhiwen Fan, Peihao Wang, Yifan Jiang, Xinyu Gong, Dejia Xu, Zhangyang Wang:
NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes. ICLR 2023 - [c15]Mukund Varma T., Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang:
Is Attention All That NeRF Needs? ICLR 2023 - [c14]Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim:
Learning to Grow Pretrained Models for Efficient Transformer Training. ICLR 2023 - [c13]Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li:
Equivariant Hypergraph Diffusion Neural Operators. ICLR 2023 - [c12]Peihao Wang, Rameswar Panda, Zhangyang Wang:
Data Efficient Neural Scaling Law via Model Reusing. ICML 2023: 36193-36204 - [c11]Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou:
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. NeurIPS 2023 - [i24]Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim:
Learning to Grow Pretrained Models for Efficient Transformer Training. CoRR abs/2303.00980 (2023) - [i23]Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou:
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. CoRR abs/2304.12526 (2023) - [i22]Zhiwen Fan, Panwang Pan, Peihao Wang, Yifan Jiang, Dejia Xu, Hanwen Jiang, Zhangyang Wang:
POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference. CoRR abs/2305.15727 (2023) - [i21]Panwang Pan, Zhiwen Fan, Brandon Y. Feng, Peihao Wang, Chenxin Li, Zhangyang Wang:
Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images. CoRR abs/2306.07598 (2023) - [i20]Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li:
Polynomial Width is Sufficient for Set Representation with High-dimensional Features. CoRR abs/2307.04001 (2023) - [i19]Wenyan Cong, Hanxue Liang, Peihao Wang, Zhiwen Fan, Tianlong Chen, Mukund Varma T., Yi Wang, Zhangyang Wang:
Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts. CoRR abs/2308.11793 (2023) - [i18]Zhiwen Fan, Panwang Pan, Peihao Wang, Yifan Jiang, Hanwen Jiang, Dejia Xu, Zehao Zhu, Dilin Wang, Zhangyang Wang:
Drag View: Generalizable Novel View Synthesis with Unposed Imagery. CoRR abs/2310.03704 (2023) - [i17]Junjie Yang, Jinze Zhao, Peihao Wang, Zhangyang Wang, Yingbin Liang:
Meta ControlNet: Enhancing Task Adaptation via Meta Learning. CoRR abs/2312.01255 (2023) - 2022
- [j1]Xin Chen, Anqi Pang, Wei Yang, Peihao Wang, Lan Xu, Jingyi Yu:
TightCap: 3D Human Shape Capture with Clothing Tightness Field. ACM Trans. Graph. 41(1): 9:1-9:17 (2022) - [c10]Zhiwen Fan, Tianlong Chen, Peihao Wang, Zhangyang Wang:
CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings. CVPR 2022: 10976-10986 - [c9]Tianlong Chen, Peihao Wang, Zhiwen Fan, Zhangyang Wang:
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations. CVPR 2022: 15170-15181 - [c8]Zhiwen Fan, Yifan Jiang, Peihao Wang, Xinyu Gong, Dejia Xu, Zhangyang Wang:
Unified Implicit Neural Stylization. ECCV (15) 2022: 636-654 - [c7]Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang:
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image. ECCV (22) 2022: 736-753 - [c6]Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang:
Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice. ICLR 2022 - [c5]Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang:
Neural Implicit Dictionary Learning via Mixture-of-Expert Training. ICML 2022: 22613-22624 - [c4]Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang:
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. NeurIPS 2022 - [c3]Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang:
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. NeurIPS 2022 - [c2]Dejia Xu, Peihao Wang, Yifan Jiang, Zhiwen Fan, Zhangyang Wang:
Signal Processing for Implicit Neural Representations. NeurIPS 2022 - [i16]Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang:
Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice. CoRR abs/2203.05962 (2022) - [i15]Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang:
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image. CoRR abs/2204.00928 (2022) - [i14]Zhiwen Fan, Yifan Jiang, Peihao Wang, Xinyu Gong, Dejia Xu, Zhangyang Wang:
Unified Implicit Neural Stylization. CoRR abs/2204.01943 (2022) - [i13]Tianlong Chen, Peihao Wang, Zhiwen Fan, Zhangyang Wang:
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations. CoRR abs/2207.01164 (2022) - [i12]Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang:
Neural Implicit Dictionary via Mixture-of-Expert Training. CoRR abs/2207.03691 (2022) - [i11]Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li:
Equivariant Hypergraph Diffusion Neural Operators. CoRR abs/2207.06680 (2022) - [i10]Mukund Varma T., Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang:
Is Attention All NeRF Needs? CoRR abs/2207.13298 (2022) - [i9]Zhiwen Fan, Peihao Wang, Yifan Jiang, Xinyu Gong, Dejia Xu, Zhangyang Wang:
NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes. CoRR abs/2209.08776 (2022) - [i8]Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang:
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. CoRR abs/2210.07494 (2022) - [i7]Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang:
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. CoRR abs/2210.08122 (2022) - [i6]Dejia Xu, Peihao Wang, Yifan Jiang, Zhiwen Fan, Zhangyang Wang:
Signal Processing for Implicit Neural Representations. CoRR abs/2210.08772 (2022) - [i5]Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang:
NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views. CoRR abs/2211.16431 (2022) - 2021
- [c1]Wenqing Zheng, Qiangqiang Guo, Hao Yang, Peihao Wang, Zhangyang Wang:
Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems. NeurIPS 2021: 12141-12153 - [i4]Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang:
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. CoRR abs/2108.10521 (2021) - [i3]Peihao Wang, Yuehao Wang, Hua Lin, Jianbo Shi:
SoGCN: Second-Order Graph Convolutional Networks. CoRR abs/2110.07141 (2021) - [i2]Wenqing Zheng, Qiangqiang Guo, Hao Yang, Peihao Wang, Zhangyang Wang:
Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems. CoRR abs/2110.15926 (2021)
2010 – 2019
- 2019
- [i1]Xin Chen, Anqi Pang, Yu Zhu, Yuwei Li, Xi Luo, Ge Zhang, Peihao Wang, Yingliang Zhang, Shiying Li, Jingyi Yu:
Towards 3D Human Shape Recovery Under Clothing. CoRR abs/1904.02601 (2019)
Coauthor Index
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last updated on 2024-08-08 19:13 CEST by the dblp team
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