Multi-view learning (MVL) has attracted increasing attention and achieved great practical
success by exploiting complementary information of multiple features or modalities …

Human beings experience life through a spectrum of modes such as vision, taste, hearing,
smell, and touch. These multiple modes are integrated for information processing in our …

Multimodal representation learning, which aims to narrow the heterogeneity gap among
different modalities, plays an indispensable role in the utilization of ubiquitous multimodal …

Vehicle re-identification (reID) aims to identify vehicles across different cameras that have
non-overlapping views. Most existing vehicle reID approaches train the reID model with well …

With the development of web technology, multi-modal or multi-view data has surged as a
major stream for big data, where each modal/view encodes individual property of data …

Synthesizing a CT image from an available MR image has recently emerged as a key goal
in radiotherapy treatment planning for cancer patients. CycleGANs have achieved promising …

Despite having promising results, style transfer, which requires preparing style images in
advance, may result in lack of creativity and accessibility. Following human instruction, on …

Entity matching is the problem of identifying which records refer to the same real-world
entity. It has been actively researched for decades, and a variety of different approaches …

Video-based person re-identification (re-id) is a central application in surveillance systems
with a significant concern in security. Matching persons across disjoint camera views in their …

In recent years, cross-modal hashing (CMH) has attracted increasing attentions, mainly
because its potential ability of mapping contents from different modalities, especially in …