Fei Deng

29 papers A* 10Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2024 A* conf
PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models.
CVPR
Fei Deng, Qifei Wang, Wei Wei, Tingbo Hou, Matthias Grundmann
2024 J jnl
PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models.
CoRR
Fei Deng, Qifei Wang, Wei Wei, Matthias Grundmann, Tingbo Hou
2024 — conf
Parrot: Pareto-Optimal Multi-reward Reinforcement Learning Framework for Text-to-Image Generation.
ECCV (38)
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
2024 J jnl
Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation.
CoRR
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
2024 A* conf
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer.
ICML
Chang Chen, Junyeob Baek, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
2024 J jnl
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer.
CoRR
Chang Chen, Junyeob Baek, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
2024 A* conf
Simple Hierarchical Planning with Diffusion.
ICLR
Chang Chen, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
2024 J jnl
Simple Hierarchical Planning with Diffusion.
CoRR
Chang Chen, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
2024 A* conf
Slot State Space Models.
NeurIPS
Jindong Jiang, Fei Deng, Gautam Singh, Minseung Lee, Sungjin Ahn
2024 J jnl
Slot State Space Models.
CoRR
Jindong Jiang, Fei Deng, Gautam Singh, Minseung Lee, Sungjin Ahn
2023 — conf
BlazeStyleGAN: A Real-Time On-Device StyleGAN.
CVPR Workshops
Haolin Jia, Qifei Wang, Omer Tov, Yang Zhao, Fei Deng, Lu Wang, Chuo-Ling Chang, Tingbo Hou, Matthias Grundmann
2023 J jnl
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies.
CoRR
Ligong Han, Seungwook Han, Shivchander Sudalairaj, Charlotte Loh, Rumen Dangovski, Fei Deng, Pulkit Agrawal, Dimitris N. Metaxas, Leonid Karlinsky, Tsui-Wei Weng, Akash Srivastava
2023 A* conf
Facing Off World Model Backbones: RNNs, Transformers, and S4.
NeurIPS
Fei Deng, Junyeong Park, Sungjin Ahn
2023 J jnl
Facing off World Model Backbones: RNNs, Transformers, and S4.
CoRR
Fei Deng, Junyeong Park, Sungjin Ahn
2023 A* conf
Object-Centric Slot Diffusion.
NeurIPS
Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn
2023 J jnl
Object-Centric Slot Diffusion.
CoRR
Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn
2022 A* conf
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations.
ICML
Fei Deng, Ingook Jang, Sungjin Ahn
2022 A* conf
Illiterate DALL-E Learns to Compose.
ICLR
Gautam Singh, Fei Deng, Sungjin Ahn
2021 J jnl
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations.
CoRR
Fei Deng, Ingook Jang, Sungjin Ahn
2021 A* conf
Generative Scene Graph Networks.
ICLR
Fei Deng, Zhuo Zhi, Donghun Lee, Sungjin Ahn
2021 J jnl
Illiterate DALL-E Learns to Compose.
CoRR
Gautam Singh, Fei Deng, Sungjin Ahn
2021 J jnl
ROOTS: Object-Centric Representation and Rendering of 3D Scenes.
J. Mach. Learn. Res.
Chang Chen, Fei Deng, Sungjin Ahn
2020 J jnl
Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All.
IEEE Trans. Cybern.
Zhaofei Yu, Shangqi Guo, Fei Deng, Qi Yan, Keke Huang, Jian K. Liu, Feng Chen
2020 A* conf
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition.
ICLR
Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Weihao Sun, Gautam Singh, Fei Deng, Jindong Jiang, Sungjin Ahn
2020 J jnl
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition.
CoRR
Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Weihao Sun, Gautam Singh, Fei Deng, Jindong Jiang, Sungjin Ahn
2019 J jnl
Hierarchical Bayesian Inference and Learning in Spiking Neural Networks.
IEEE Trans. Cybern.
Shangqi Guo, Zhaofei Yu, Fei Deng, Xiaolin Hu, Feng Chen
2018 J jnl
Abstraction Learning.
CoRR
Fei Deng, Jinsheng Ren, Feng Chen
2018 J jnl
Design and Implementation of a Noncontact Sleep Monitoring System Using Infrared Cameras and Motion Sensor.
IEEE Trans. Instrum. Meas.
Fei Deng, Jianwu Dong, Xiangyu Wang, Ying Fang, Yu Liu, Zhaofei Yu, Jing Liu, Feng Chen
2018 J jnl
Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Zhaofei Yu, Feng Chen, Fei Deng