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Fei Deng
Fei Deng
PhD Candidate, Department of Computer Science, Rutgers University
rutgers.edu의 이메일 확인됨
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SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
Z Lin*, YF Wu*, SV Peri*, W Sun, G Singh, F Deng, J Jiang, ...
International Conference on Learning Representations (ICLR'20), 2020
2122020
Illiterate DALL-E Learns to Compose
G Singh, F Deng, S Ahn
International Conference on Learning Representations (ICLR'22), 2022
952022
Design and Implementation of a Noncontact Sleep Monitoring System Using Infrared Cameras and Motion Sensor
F Deng, J Dong, X Wang, Y Fang, Y Liu, Z Yu, J Liu, F Chen
IEEE Transactions on Instrumentation and Measurement 67 (7), 1555-1563, 2018
742018
Generative Scene Graph Networks
F Deng, Z Zhi, D Lee, S Ahn
International Conference on Learning Representations (ICLR'21), 2021
492021
Hierarchical Bayesian Inference and Learning in Spiking Neural Networks
S Guo, Z Yu, F Deng, X Hu, F Chen
IEEE Transactions on Cybernetics 49 (1), 133-145, 2017
422017
ROOTS: Object-Centric Representation and Rendering of 3D Scenes
C Chen*, F Deng*, S Ahn (* denotes equal contribution)
Journal of Machine Learning Research 22 (259), 1-36, 2021
402021
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations
F Deng, I Jang, S Ahn
International Conference on Machine Learning (ICML'22), 2022
382022
Distinct Anatomical Connectivity Patterns Differentiate Subdivisions of the Nonlemniscal Auditory Thalamus in Mice
D Cai, Y Yue, X Su, M Liu, Y Wang, L You, F Xie, F Deng, F Chen, M Luo, ...
Cerebral Cortex 29 (6), 2437-2454, 2019
352019
Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All
Z Yu, S Guo, F Deng, Q Yan, K Huang, JK Liu, F Chen
IEEE Transactions on Cybernetics 50 (3), 1347-1354, 2018
212018
Object-Centric Slot Diffusion
J Jiang, F Deng, G Singh, S Ahn
Advances in Neural Information Processing Systems (NeurIPS'23 Spotlight), 2023
172023
Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks
Z Yu, F Chen, F Deng
IEEE Transactions on Neural Networks and Learning Systems 29 (11), 5761-5766, 2018
72018
Facing Off World Model Backbones: RNNs, Transformers, and S4
F Deng, J Park, S Ahn
Advances in Neural Information Processing Systems (NeurIPS'23), 2023
42023
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies
L Han, S Han, S Sudalairaj, C Loh, R Dangovski, F Deng, P Agrawal, ...
arXiv preprint arXiv:2304.00601, 2023
42023
Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation
SH Lee, Y Li, J Ke, I Yoo, H Zhang, J Yu, Q Wang, F Deng, G Entis, J He, ...
arXiv preprint arXiv:2401.05675, 2024
32024
Simple Hierarchical Planning with Diffusion
C Chen, F Deng, K Kawaguchi, C Gulcehre, S Ahn
International Conference on Learning Representations (ICLR'24), 2024
32024
BlazeStyleGAN: A Real-Time On-Device StyleGAN
H Jia, Q Wang, O Tov, Y Zhao, F Deng, L Wang, CL Chang, T Hou, ...
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops …, 2023
32023
PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
F Deng, Q Wang, W Wei, M Grundmann, T Hou
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'24), 2024
12024
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학술자료 1–17