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Peiyu Yu
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2020 – today
- 2024
- [c5]Yasi Zhang, Peiyu Yu, Ying Nian Wu:
Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion Models. ECCV (42) 2024: 55-71 - [i12]Yasi Zhang, Peiyu Yu, Ying Nian Wu:
Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion Models. CoRR abs/2404.07389 (2024) - [i11]Hengzhi He, Peiyu Yu, Junpeng Ren, Ying Nian Wu, Guang Cheng:
Watermarking Generative Tabular Data. CoRR abs/2405.14018 (2024) - [i10]Peiyu Yu, Dinghuai Zhang, Hengzhi He, Xiaojian Ma, Ruiyao Miao, Yifan Lu, Yasi Zhang, Deqian Kong, Ruiqi Gao, Jianwen Xie, Guang Cheng, Ying Nian Wu:
Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space. CoRR abs/2405.16730 (2024) - [i9]Yasi Zhang, Peiyu Yu, Yaxuan Zhu, Yingshan Chang, Feng Gao, Ying Nian Wu, Oscar Leong:
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching. CoRR abs/2405.18816 (2024) - [i8]Haozhe Zhao, Xiaojian Ma, Liang Chen, Shuzheng Si, Rujie Wu, Kaikai An, Peiyu Yu, Minjia Zhang, Qing Li, Baobao Chang:
UltraEdit: Instruction-based Fine-Grained Image Editing at Scale. CoRR abs/2407.05282 (2024) - 2023
- [c4]Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu:
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC. NeurIPS 2023 - [i7]Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu:
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC. CoRR abs/2310.03218 (2023) - [i6]Yilue Qian, Peiyu Yu, Ying Nian Wu, Wei Wang, Lifeng Fan:
Learning Concept-Based Visual Causal Transition and Symbolic Reasoning for Visual Planning. CoRR abs/2310.03325 (2023) - 2022
- [c3]Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu:
Latent Diffusion Energy-Based Model for Interpretable Text Modelling. ICML 2022: 25702-25720 - [i5]Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu:
Latent Diffusion Energy-Based Model for Interpretable Text Modeling. CoRR abs/2206.05895 (2022) - 2021
- [c2]Peiyu Yu, Sirui Xie, Xiaojian Ma, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu:
Unsupervised Foreground Extraction via Deep Region Competition. NeurIPS 2021: 14264-14279 - [i4]Sirui Xie, Xiaojian Ma, Peiyu Yu, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu:
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving. CoRR abs/2102.11344 (2021) - [i3]Peiyu Yu, Sirui Xie, Xiaojian Ma, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu:
Unsupervised Foreground Extraction via Deep Region Competition. CoRR abs/2110.15497 (2021) - 2020
- [c1]Yu She
, Sandra Q. Liu, Peiyu Yu, Edward H. Adelson:
Exoskeleton-covered soft finger with vision-based proprioception and tactile sensing. ICRA 2020: 10075-10081
2010 – 2019
- 2019
- [i2]Yu She, Sandra Q. Liu, Peiyu Yu, Edward H. Adelson:
Exoskeleton-covered soft finger with vision-based proprioception and exteroception. CoRR abs/1910.01287 (2019) - [i1]Peiyu Yu, Yongming Rao, Jiwen Lu, Jie Zhou:
P2GNet: Pose-Guided Point Cloud Generating Networks for 6-DoF Object Pose Estimation. CoRR abs/1912.09316 (2019)
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