Search Results for author:
Found 6 papers, 1 papers with code
Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models
Vision-Language Pre-training (VLP) models like CLIP have achieved remarkable success in computer vision and particularly demonstrated superior robustness to distribution shifts of 2D images.
Enriched Physics-informed Neural Networks for Dynamic Poisson-Nernst-Planck Systems
The resampling strategy is employed in the EPINNs to accelerate the convergence of loss function.
UMMAFormer: A Universal Multimodal-adaptive Transformer Framework for Temporal Forgery Localization
Our approach introduces a Temporal Feature Abnormal Attention (TFAA) module based on temporal feature reconstruction to enhance the detection of temporal differences.
Ranked #1 on
Temporal Forgery Localization
on LAV-DF
AOG-LSTM: An adaptive attention neural network for visual storytelling
Moreover, the existing method of alleviating error accumulation based on replacing reference words does not take into account the different effects of each word.
Ranked #20 on
Visual Storytelling
on VIST
Surrogate-assisted cooperative signal optimization for large-scale traffic networks
The decomposition operation significantly narrows the search space of the whole traffic network, and the surrogate-assisted optimizer greatly lowers the computational burden by reducing the number of expensive traffic simulations.
A Surrogate-Assisted Variable Grouping Algorithm for General Large Scale Global Optimization Problems
SVG first designs a general-separability-oriented detection criterion according to whether the optimum of a variable changes with other variables.
