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Ye Zhu
Ye Zhu
Postdoc Researcher, Princeton University
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation
Y Zhu, Y Wu, K Olszewski, J Ren, S Tulyakov, Y Yan
International Conference on Learning Representations (ICLR), 2023
532023
Quantized GAN for Complex Music Generation from Dance Videos
Y Zhu, K Olszewski, Y Wu, P Achlioptas, M Chai, Y Yan, S Tulyakov
European Conference on Computer Vision (ECCV), 2022
312022
Learning Audio-Visual Correlations from Variational Cross-Modal Generation
Y Zhu, Y Wu, H Latapie, Y Yang, Y Yan
The International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2021
222021
Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition
X Zhu, Y Zhu, H Wang, H Wen, Y Yan, P Liu
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022
212022
Boundary Guided Learning-Free Semantic Control with Diffusion Models
Y Zhu, Y Wu, Z Deng, O Russakovsky, Y Yan
Conference on Neural Information Processing Systems (NeurIPS), 2023
132023
Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents
Y Zhu, Y Wu, Y Yang, Y Yan
European Conference on Computer Vision (ECCV), 2020
132020
Hierarchical HMM for Eye Movement Classification
Y Zhu, Y Yan, O Komogortsev
European Conference on Computer Vision Workshop (ECCV Workshop), 2020
102020
Saying the Unseen: Video Descriptions via Dialog Agents
Y Zhu, Y Wu, Y Yang, Y Yan
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
92021
Vision+ X: A Survey on Multimodal Learning in the Light of Data
Y Zhu, Y Wu, N Sebe, Y Yan
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
72024
Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation
R Wang*, Y Yang*, Z Qian, Y Zhu, Y Wu
International Conference on Learning Representations (ICLR), 2024
52024
Denoising Diffusion Probabilistic Models to Predict the Density of Molecular Clouds
D Xu, J Tan, CJ Hsu, Y Zhu
The Astrophysical Journal (APJ), 2023
52023
Multiview based 3D scene understanding on partial point sets
Y Zhu, SE Shepstone, P Martínez-Nuevo, MS Kristoffersen, F Moutarde, ...
arXiv preprint arXiv:1812.01712, 2018
52018
Discrete Diffusion Reward Guidance Methods for Offline Reinforcement Learning
M Coleman, O Russakovsky, C Allen-Blanchette, Y Zhu
International Conference on Machine Learning Workshop (ICML Workshop), 2023
22023
Discovery and Expansion of New Domains within Diffusion Models
Y Zhu, Y Wu, D Xu, Z Deng, Y Yan, O Russakovsky
arXiv preprint arXiv:2310.09213, 2024
1*2024
Supplementing Missing Visions via Dialog for Scene Graph Generations
Y Zhu, X Zhu, Y Shang, Z Zhao, Y Yan
The International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2024
12024
DETER: Detecting Edited Regions for Deterring Generative Manipulations
S Wang, Y Zhu, R Wang, A Dharmasiri, O Russakovsky, Y Wu
arXiv preprint arXiv:2312.10539, 2023
12023
Denoising Diffusion Probabilistic Models to Predict the Number Density of Molecular Clouds in Astronomy
D Xu, J Tan, CJ Hsu, Y Zhu
ICLR 2023 Workshop on Physics for Machine Learning (ICLR Workshop), 2023
1*2023
What is Dataset Distillation Learning?
W Yang, Y Zhu, Z Deng, O Russakovsky
The Forty-first International Conference on Machine Learning (ICML), 2024
2024
Surveying image segmentation approaches in astronomy
D Xu, Y Zhu
Astronomy and Computing, 100838, 2024
2024
D: Scaling Up Deepfake Detection by Learning from Discrepancy
Y Yang, Z Qian, Y Zhu, Y Wu
arXiv preprint arXiv:2404.04584, 2024
2024
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