Concealed scene understanding (CSU) is a hot computer vision topic aiming to perceive
objects exhibiting camouflage. The current boom in terms of techniques and applications …

Google's Bard has emerged as a formidable competitor to OpenAI's ChatGPT in the field of
conversational AI. Notably, Bard has recently been updated to handle visual inputs …

Food computing has long been studied and deployed to several applications.
Understanding a food image at the instance level, including recognition, counting and …

We conduct a comprehensive study on a new task named power battery detection (PBD)
which aims to localize the dense cathode and anode plates endpoints from X-ray images to …

Underwater visual understanding has recently gained increasing attention within the
computer vision community for studying and monitoring underwater ecosystems. Among …

Existing class-agnostic counting models typically rely on a single type of prompt, eg, box
annotations. This paper aims to establish a comprehensive prompt-based counting …

The objective of unlabeled scene adaptive crowd counting (USACC) is to adapt the crowd
counting model to a particular scene by utilizing only a handful of unlabeled images from …

Dense object counting or crowd counting has come a long way thanks to the recent
development in the vision community. However, indiscernible object counting, which aims to …

Object counting is a field of growing importance in domains such as security surveillance,
urban planning, and biology. The annotation is usually provided in terms of 2D points …

The newly proposed Generalized Referring Expression Segmentation (GRES) amplifies the
formulation of classic RES by involving multiple/non-target scenarios. Recent approaches …