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ORCIDFei Deng 0001
Person information
- affiliation: Google, Mountain View, CA, USA
- affiliation: Rutgers University, New Brunswick, NJ, USA
Other persons with the same name
- Fei Deng — disambiguation page
- Fei Deng 0002
![[0000-0002-2218-0853]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2218-0853")
— Chengdu University of Technology, College of Computer Science and Cyber Security, Chengdu, China - Fei Deng 0003 — China Academy of Engineering Physics, Institute of Computer Application, Mianyang, China
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Journal Articles
- 2021
[j5]Chang Chen, Fei Deng, Sungjin Ahn:
ROOTS: Object-Centric Representation and Rendering of 3D Scenes. J. Mach. Learn. Res. 22: 259:1-259:36 (2021)- 2020
- [j4]Zhaofei Yu, Shangqi Guo, Fei Deng, Qi Yan, Keke Huang, Jian K. Liu, Feng Chen:
Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All. IEEE Trans. Cybern. 50(3): 1347-1354 (2020) - 2019
- [j3]Shangqi Guo, Zhaofei Yu, Fei Deng, Xiaolin Hu, Feng Chen:
Hierarchical Bayesian Inference and Learning in Spiking Neural Networks. IEEE Trans. Cybern. 49(1): 133-145 (2019) - 2018
- [j2]Fei Deng, Jianwu Dong, Xiangyu Wang, Ying Fang, Yu Liu, Zhaofei Yu, Jing Liu, Feng Chen:
Design and Implementation of a Noncontact Sleep Monitoring System Using Infrared Cameras and Motion Sensor. IEEE Trans. Instrum. Meas. 67(7): 1555-1563 (2018) - [j1]Zhaofei Yu, Feng Chen, Fei Deng:
Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5761-5766 (2018)
Conference and Workshop Papers
- 2024
- [c11]Fei Deng, Qifei Wang, Wei Wei, Tingbo Hou, Matthias Grundmann:
PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models. CVPR 2024: 7423-7433 - [c10]Seung Hyun Lee, Yinxiao Li, Junjie Ke, Innfarn Yoo, Han Zhang, Jiahui Yu, Qifei Wang, Fei Deng, Glenn Entis, Junfeng He, Gang Li, Sangpil Kim, Irfan Essa, Feng Yang:
Parrot: Pareto-Optimal Multi-reward Reinforcement Learning Framework for Text-to-Image Generation. ECCV (38) 2024: 462-478 - [c9]Chang Chen, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn:
Simple Hierarchical Planning with Diffusion. ICLR 2024 - [c8]Chang Chen, Junyeob Baek, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn:
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer. ICML 2024 - 2023
- [c7]Haolin Jia, Qifei Wang, Omer Tov, Yang Zhao, Fei Deng, Lu Wang, Chuo-Ling Chang, Tingbo Hou, Matthias Grundmann:
BlazeStyleGAN: A Real-Time On-Device StyleGAN. CVPR Workshops 2023: 4690-4694 - [c6]Fei Deng, Junyeong Park, Sungjin Ahn:
Facing Off World Model Backbones: RNNs, Transformers, and S4. NeurIPS 2023 - [c5]Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn:
Object-Centric Slot Diffusion. NeurIPS 2023 - 2022
- [c4]Gautam Singh, Fei Deng, Sungjin Ahn:
Illiterate DALL-E Learns to Compose. ICLR 2022 - [c3]Fei Deng, Ingook Jang, Sungjin Ahn:
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations. ICML 2022: 4956-4975 - 2021
- [c2]Fei Deng, Zhuo Zhi, Donghun Lee, Sungjin Ahn:
Generative Scene Graph Networks. ICLR 2021 - 2020
- [c1]Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Weihao Sun, Gautam Singh, Fei Deng, Jindong Jiang, Sungjin Ahn:
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition. ICLR 2020
Informal and Other Publications
- 2024
- [i12]Chang Chen, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn:
Simple Hierarchical Planning with Diffusion. CoRR abs/2401.02644 (2024) - [i11]Seung Hyun Lee, Yinxiao Li, Junjie Ke, Innfarn Yoo, Han Zhang, Jiahui Yu, Qifei Wang, Fei Deng, Glenn Entis, Junfeng He, Gang Li, Sangpil Kim, Irfan Essa, Feng Yang:
Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation. CoRR abs/2401.05675 (2024) - [i10]Fei Deng, Qifei Wang, Wei Wei, Matthias Grundmann, Tingbo Hou:
PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models. CoRR abs/2402.08714 (2024) - [i9]Chang Chen, Junyeob Baek, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn:
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer. CoRR abs/2406.06793 (2024) - [i8]Jindong Jiang, Fei Deng, Gautam Singh, Minseung Lee, Sungjin Ahn:
Slot State Space Models. CoRR abs/2406.12272 (2024) - 2023
- [i7]Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn:
Object-Centric Slot Diffusion. CoRR abs/2303.10834 (2023) - [i6]Ligong Han, Seungwook Han, Shivchander Sudalairaj, Charlotte Loh, Rumen Dangovski, Fei Deng, Pulkit Agrawal, Dimitris N. Metaxas, Leonid Karlinsky, Tsui-Wei Weng, Akash Srivastava:
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies. CoRR abs/2304.00601 (2023) - [i5]Fei Deng, Junyeong Park, Sungjin Ahn:
Facing off World Model Backbones: RNNs, Transformers, and S4. CoRR abs/2307.02064 (2023) - 2021
- [i4]Gautam Singh, Fei Deng, Sungjin Ahn:
Illiterate DALL-E Learns to Compose. CoRR abs/2110.11405 (2021) - [i3]Fei Deng, Ingook Jang, Sungjin Ahn:
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations. CoRR abs/2110.14565 (2021) - 2020
- [i2]Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Weihao Sun, Gautam Singh, Fei Deng, Jindong Jiang, Sungjin Ahn:
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition. CoRR abs/2001.02407 (2020) - 2018
- [i1]Fei Deng, Jinsheng Ren, Feng Chen:
Abstraction Learning. CoRR abs/1809.03956 (2018)
Coauthor Index
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