139 citations · 1.4k across the 83 of their papers we have counts for
7 papers · 1 filter
Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval
Yuming Shen, Li Liu, Ling Shao +1
Cross-modal hashing is usually regarded as an effective technique for large-scale textual-visual cross retrieval, where data from different modalities are mapped into a shared Hamm…
Discriminative Block-Diagonal Representation Learning for Image Recognition
Zheng Zhang, Yong Xu, Ling Shao +1
Existing block-diagonal representation researches mainly focuses on casting block-diagonal regularization on training data, while only little attention is dedicated to concurrently…
DOTE: Dual cOnvolutional filTer lEarning for Super-Resolution and Cross-Modality Synthesis in MRI
Yawen Huang, Ling Shao, Alejandro F. Frangi
Cross-modal image synthesis is a topical problem in medical image computing. Existing methods for image synthesis are either tailored to a specific application, require large scale…
Dual-reference Face Retrieval
BingZhang Hu, Feng Zheng, Ling Shao
Face retrieval has received much attention over the past few decades, and many efforts have been made in retrieving face images against pose, illumination, and expression variation…
Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images using Weakly-Supervised Joint Convolutional Sparse Coding
Yawen Huang, Ling Shao, Alejandro F. Frangi
Magnetic Resonance Imaging (MRI) offers high-resolution \emph{in vivo} imaging and rich functional and anatomical multimodality tissue contrast. In practice, however, there are cha…
From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis
Yang Long, Li Liu, Ling Shao +3
Robust object recognition systems usually rely on powerful feature extraction mechanisms from a large number of real images. However, in many realistic applications, collecting suf…