This paper presents a novel facial expression recognition network, called Distract your
Attention Network (DAN). Our method is based on two key observations in biological visual …

Single hyperspectral image super-resolution (single-HSI-SR) aims to restore a high-
resolution hyperspectral image from a low-resolution observation. However, the prevailing …

Image matting refers to extracting precise alpha matte from natural images, and it plays a
critical role in various downstream applications, such as image editing. Despite being an ill …

Transformers have shown superior performance on various vision tasks. Their large
receptive field endows Transformer models with higher representation power than their CNN …

We present Follow-Your-Emoji, a diffusion-based framework for portrait animation, which
animates a reference portrait with target landmark sequences. The main challenge of portrait …

Foundation models have reshaped the landscape of Remote Sensing (RS) by enhancing
various image interpretation tasks. Pretraining is an active research topic, encompassing …

In the realm of large vision language models (LVLMs), jailbreak attacks serve as a red-
teaming approach to bypass guardrails and uncover safety implications. Existing jailbreaks …

The real-time analysis of gas flares is one of the most challenging problems in the operation
of various combustion-involving industries, such as oil and gas refineries. Despite the crucial …

Advancements in computer vision research have put transformer architecture as the state-of-
the-art in computer vision tasks. One of the known drawbacks of the transformer architecture …

In recent years, large language models (LLMs) have made significant progress in natural
language processing (NLP), with models like ChatGPT and GPT-4 achieving impressive …