4 papers
Linear Reusable Neural Bases Architecture for Network Compression
Binshuai Wang, Peng Wei, Mahyar Ghazanfari
Memory constraints remain a critical bottleneck in the deployment of large-scale AI models. Parameter sharing across network depth reduces model storage, but repeatedly applying an…
A Paragraph is Worth a Thousand Captions: Rethinking Text Supervision for Vision-Language Retrieval
Mahyar Ghazanfari, Amin Tabrizian, Arsyi Aziz +2
Contrastive vision-language models such as CLIP and BLIP are typically trained on short image captions, limiting their ability to retrieve images from detailed textual descriptions…
Relative Wasserstein Angle and the Problem of the -Nearest Gaussian Distribution
Binshuai Wang, Peng Wei
Understanding the distributional structure of high-dimensional datasets has become an important topic, yet direct visual characterization is difficult. In this work, we develop a g…
Relative Translation Invariant Wasserstein Distance
Binshuai Wang, Qiwei Di, Ming Yin +3
Motivated by the Bures distance, we introduce a new family of distances, \emph{relative translation invariant Wasserstein distances}, denoted by , as an extension of the clas…