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
60 2023 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
37 2022 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
27 2022 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
25 2021 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
14 2023 Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents Y Zhu, Y Wu, Y Yang, Y Yan
European Conference on Computer Vision (ECCV), 2020
13 2020 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
10 2024 Hierarchical HMM for Eye Movement Classification Y Zhu, Y Yan, O Komogortsev
European Conference on Computer Vision Workshop (ECCV Workshop), 2020
10 2020 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
9 2021 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
5 2024 Denoising Diffusion Probabilistic Models to Predict the Density of Molecular Clouds D Xu, J Tan, CJ Hsu, Y Zhu
The Astrophysical Journal (APJ), 2023
5 2023 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
5 2018 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
2 2023 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
1 2024 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
1 2023 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 Y Yang, Z Qian, Y Zhu, Y Wu
arXiv preprint arXiv:2404.04584, 2024
2024 
Yan YanUniversity of Illinois at ChicagoDirección de correo verificada de uic.edu
