| Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing H Wang, Y Yue, R Lu, J Shi, A Zhao, S Wang, S Song, G Huang arXiv preprint arXiv:2407.08770, 2024 | | 2024 |
| Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train H Jiang, M Li, Z Sun, N Jia, Y Sun, S Luo, S Song, G Huang arXiv preprint arXiv:2406.19756, 2024 | | 2024 |
| Method and apparatus for computer vision processing C Ge, G Huang, R Lu, S Shiji, X Pan, H Yang US Patent App. 18/572,377, 2024 | | 2024 |
| Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model H Jiang, Z Sun, N Jia, M Li, Y Sun, S Luo, S Song, G Huang arXiv preprint arXiv:2406.13165, 2024 | 1 | 2024 |
| COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing J Wang, Y Ma, J Guo, Y Xiao, G Huang, X Li arXiv preprint arXiv:2406.08850, 2024 | | 2024 |
| Learning 1D Causal Visual Representation with De-focus Attention Networks C Tao, X Zhu, S Su, L Lu, C Tian, X Luo, G Huang, H Li, Y Qiao, J Zhou, ... arXiv preprint arXiv:2406.04342, 2024 | | 2024 |
| Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment J Guo, J Zhao, C Ge, C Du, Z Ni, S Song, H Shi, G Huang arXiv preprint arXiv:2406.04295, 2024 | 1 | 2024 |
| A unified framework for convolution-based graph neural networks X Pan, X Han, C Wang, Z Li, S Song, G Huang, C Wu Pattern Recognition, 110597, 2024 | 12 | 2024 |
| DiveR-CT: Diversity-enhanced Red Teaming with Relaxing Constraints A Zhao, Q Xu, M Lin, S Wang, Y Liu, Z Zheng, G Huang arXiv preprint arXiv:2405.19026, 2024 | 1 | 2024 |
| Demystify Mamba in Vision: A Linear Attention Perspective D Han, Z Wang, Z Xia, Y Han, Y Pu, C Ge, J Song, S Song, B Zheng, ... arXiv preprint arXiv:2405.16605, 2024 | 1 | 2024 |
| ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models C Ge, S Cheng, Z Wang, J Yuan, Y Gao, J Song, S Song, G Huang, ... arXiv preprint arXiv:2405.15738, 2024 | 2 | 2024 |
| EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training Y Wang, Y Yue, R Lu, Y Han, S Song, G Huang IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 | | 2024 |
| Latency-aware unified dynamic networks for efficient image recognition Y Han, Z Liu, Z Yuan, Y Pu, C Wang, S Song, G Huang IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 | 11 | 2024 |
| Fine-grained recognition with learnable semantic data augmentation Y Pu, Y Han, Y Wang, J Feng, C Deng, G Huang IEEE Transactions on Image Processing, 2024 | 12 | 2024 |
| Image information detection method and apparatus and storage medium G Huang, S Shiji, H Jiang, Y Le, Y Chen US Patent 11,961,277, 2024 | | 2024 |
| Adapting Across Domains via Target-Oriented Transferable Semantic Augmentation Under Prototype Constraint M Xie, S Li, K Gong, Y Wang, G Huang International Journal of Computer Vision 132 (4), 1417-1441, 2024 | | 2024 |
| LLaVA-UHD: an LMM perceiving any aspect ratio and high-resolution images R Xu, Y Yao, Z Guo, J Cui, Z Ni, C Ge, TS Chua, Z Liu, M Sun, G Huang arXiv preprint arXiv:2403.11703, 2024 | 31 | 2024 |
| Dynamic tuning towards parameter and inference efficiency for vit adaptation W Zhao, J Tang, Y Han, Y Song, K Wang, G Huang, F Wang, Y You arXiv preprint arXiv:2403.11808, 2024 | 3 | 2024 |
| 2023 Low-Power Computer Vision Challenge (LPCVC) Summary L Chen, B Boardley, P Hu, Y Wang, Y Pu, X Jin, Y Yao, R Gong, B Li, ... arXiv preprint arXiv:2403.07153, 2024 | 1 | 2024 |
| Dynamic Neural Networks: Advantages and Challenges G Huang National Science Review, 2024 | | 2024 |
Shiji SongTsinghua UniversityVerified email at tsinghua.edu.cn
