📝 Publications

TPAMI 2025 Fine-Grained Visual Text Prompting
Lingfeng Yang, Xiang Li, Yueze Wang, Xinlong Wang, Jian Yang

Paper | Code

• Propose joint visual and textual prompt engineering to enhance multi-modal alignment.

NeurIPS 2023 Fine-Grained Visual Prompting
Lingfeng Yang, Yueze Wang, Xiang Li, Xinlong Wang, Jian Yang

Paper | Code | 中文解读 | 中文视频

• Propose fine-grained visual prompt engineering to enhance CLIP’s localization accuracy.

NeurIPS 2022 RecursiveMix: Mixed Learning with History (Spotlight, Top 12.8%)
Lingfeng Yang, Xiang Li, Borui Zhao, Renjie Song, Jian Yang

Paper | Code

• Propose a simple yet effective mixed-data augmentation technique for image classification.
• Enhance model pretraining performance for object detection and semantic segmentation tasks.

CVPR 2022 Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information (Oral, Top 3.3%)
Lingfeng Yang, Xiang Li, Renjie Song, Borui Zhao, Juntian Tao, Shihao Zhou, Jiajun Liang, Jian Yang

Paper | Code

• Proposed a dynamic MLP fusion framework for fine-grained image classification by incorporating geo-temporal information.
• Improved classification accuracy on multiple fine-grained datasets.