|
当前位置：
时增林主页/Shi Zenglin Homepage
>>
科学研究
-
主要从事深度学习、计算机视觉和机器学习领域的研究。当前研究主要围绕自适应机器学习和多模态大模型，特别聚焦于可持续学习、自适应学习、提示学习、指令微调、上下文环境学习等具体研究方向。
- Focus for Free in Density-Based Counting:International Journal of Computer Vision (IJCV),2023
- Multiview Clustering With Propagating Information Bottleneck:IEEE Transactions on Neural Networks and Learning Systems (TNNLS),2023
- On Measuring and Controlling the Spectral Bias of the Deep Image Prior:International Journal of Computer Vision (IJCV),2022
- Nonlinear Regression via Deep Negative Correlation Learning:IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),2021
- Ordered or Orderless: A Revisit for Video based Person Re-ID:IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),2021
- Social Fabric: Tubelet Compositions for Video Relation Detection:ICCV,2021
- 暂无内容
- 暂无内容
- 暂无内容