The emergence of the Transformer optimizes the interactive modeling of multimodal
information in visual question answering (VQA) tasks, hel** machines better understand …

Due to the wavelength-dependent light attenuation, refraction and scattering, underwater
images usually suffer from color distortion and blurred details. However, due to the limited …

Dense captioning provides detailed captions of complex visual scenes. While a number of
successes have been achieved in recent years, there are still two broad limitations: 1) most …

Hashing methods for efficient image retrieval aim at learning hash functions that map similar
images to semantically correlated binary codes in the Hamming space with similarity well …

Fashion image retrieval based on a query pair of reference image and natural language
feedback is a challenging task that requires models to assess fashion related information …

In this paper, we review recent work in media forensics for digital images, video, audio
(specifically speech), and documents. For each data modality, we discuss synthesis and …

Sarcasm is a linguistic phenomenon indicating a discrepancy between literal meanings and
implied intentions. Due to its sophisticated nature, it is usually challenging to be detected …

The joint hyperspectral image (HSI) and light detection and ranging (LiDAR) data
classification aims to interpret ground objects at more detailed and precise level. Although …

Sarcasm is a form of sentiment expression that highlights the disparity between a person's
true intentions and the content they explicitly present. With the exponential increase in …

We tackle the task of image retrieval with text feedback, where a reference image and
modifier text are combined to identify the desired target image. We focus on designing an …