Search Results for author:
Found 6 papers, 3 papers with code
Different Data, Different Modalities! Reinforced Data Splitting for Effective Multimodal Information Extraction from Social Media Posts
In this paper, we argue that different social media posts should consider different modalities for multimodal information extraction.
Fast Locality Sensitive Hashing with Theoretical Guarantee
Locality-sensitive hashing (LSH) is an effective randomized technique widely used in many machine learning tasks.
Tao: A Learning Framework for Adaptive Nearest Neighbor Search using Static Features Only
In the middle of query execution, AdaptNN collects a number of runtime features and predicts termination condition for each individual query, by which better end-to-end latency is attained.
Near, far, wherever you are: simulations on the dose efficiency of holographic and ptychographic coherent imaging
Different studies in x-ray microscopy have arrived at conflicting conclusions about the dose efficiency of imaging modes involving the recording of intensity distributions in the near (Fresnel regime) or far (Fraunhofer regime) field downstream of a specimen.
Image and Video Processing Applied Physics Medical Physics
Searching for Apparel Products from Images in the Wild
In particular, Instagram and Twitter influencers often provide images of themselves wearing different outfits and their followers are often inspired to buy similar clothes. We propose a system to automatically find the closest visually similar clothes in the online Catalog (street-to-shop searching).
Three dimensions, two microscopes, one code: automatic differentiation for x-ray nanotomography beyond the depth of focus limit
Conventional tomographic reconstruction algorithms assume that one has obtained pure projection images, involving no within-specimen diffraction effects nor multiple scattering.
Image and Video Processing Applied Physics Optics
