Lin Zhu

CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection

2024 · arXiv (Cornell University)

Recent vision-language pre-trained models (VL-PTMs) have shown remarkable success in open-vocabulary tasks. However, downstream use cases often involve further fine-tuning of VL-PTMs, which may distort their general knowledge and impair their ability to handle distribution …

Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms

2024 · arXiv (Cornell University)

Human Action Recognition (HAR) stands as a pivotal research domain in both computer vision and artificial intelligence, with RGB cameras dominating as the preferred tool for investigation and innovation in this field. However, in real-world …

PV output forecasting based on the combinations of scene-adaptive decomposition and SENet-reweighted informer

2026 · IET conference proceedings.

Photovoltaic (PV) output forecasting is vital for grid stability. To improve the accuracy of PV output forecasting, many deep learning models have been adopted. However, traditional forecasting models often struggle to adapt to diverse weather …