H4MER: Human 4D Modeling by Learning Neural Compositional Representation With Transformer B Jiang, Y Zhang, J Huo, X Xue, Y Fu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 10 | 2023 |
Pushing the limits of 3d shape generation at scale W Yu, X Qian, J Huo, T Huang, B Zhao, Y Fu arXiv preprint arXiv:2306.11510, 2023 | 7 | 2023 |
Geovln: Learning geometry-enhanced visual representation with slot attention for vision-and-language navigation J Huo, Q Sun, B Jiang, H Lin, Y Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
fmri-pte: A large-scale fmri pretrained transformer encoder for multi-subject brain activity decoding X Qian, Y Wang, J Huo, J Feng, Y Fu arXiv preprint arXiv:2311.00342, 2023 | 3 | 2023 |
NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation J Huo, Y Wang, X Qian, Y Wang, C Li, J Feng, Y Fu arXiv preprint arXiv:2403.18211, 2024 | | 2024 |
Coexistence of Cyclic Sequential Pattern Recognition and Associative Memory in Neural Networks by Attractor Mechanisms J Huo, J Yu, M Wang, Z Yi, J Leng, Y Liao IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
Intelligent Director: An Automatic Framework for Dynamic Visual Composition using ChatGPT S Zheng, J Huo, Y Wang, Y Fu arXiv preprint arXiv:2402.15746, 2024 | | 2024 |