3 accepted papers
Laplacian dimensionality reduction can effectively achieve feature transformation and preserve the important structure of high-dimensional features. However, the trained model with this method usually require better generalization ability to new samples. Hence, a human activity recognition method ba…
Various face manipulation techniques develop rapidly and can easily generate high-quality fake images or videos, posing significant ethical concerns when used for malicious purposes. Although recent works achieve significant performance in deepfake detection, they still suffer from overfitting issue…
Discriminative Correlation Filters (DCF) are efficient in visual tracking but suffer from unwanted boundary effects. Spatially Regularized DCF (SRDCF) has been suggested to resolve this issue by enforcing spatial penalty on DCF coefficients, which, inevitably, improves the tracking performance at th…