Sarcasm indicates the literal meaning is contrary to the real attitude. Considering the
popularity and complementarity of image-text data, we investigate the task of multi-modal …

Limited training data is a long-standing problem for video emotion analysis (VEA). Existing
works leverage the power of large-scale image datasets for transferring while failing to …

Transformer-based approaches have achieved promising performance in image restoration
tasks given their ability to model long-range dependencies which is crucial for recovering …

Video prediction is a challenging task due to its nature of uncertainty especially for
forecasting a long period. To model the temporal dynamics advanced methods benefit from …

Automatically predicting the emotions of user-generated videos (UGVs) receives increasing
interest recently. However, existing methods mainly focus on a few key visual frames, which …

Camouflaged vision perception is an important vision task with numerous practical
applications. Due to the expensive collection and labeling costs this community struggles …

Label distribution learning (LDL) is a recent hot topic, in which ambiguity is modeled via
description degrees of the labels. However, in common LDL tasks, eg, age estimation, labels …

Human emotions vary over time, which can be vividly described as a stream of emotions.
Observing the emotion stream in daily life provides valuable insights into an individual's …

Emotion analysis plays a crucial role in understanding video content. Existing studies often
approach it as a closed set classification task, which overlooks the important fact that the …

In real-world recon-videos such as surveillance and drone reconnaissance videos,
commonly used explicit language, acoustic and facial expressions information is often …