For camouflage to succeed, an individual has to pass undetected, unrecognized or
untargeted, and hence it is the processing of visual information that needs to be deceived …

Animal camouflage has long been used to illustrate the power of natural selection, and
provides an excellent testbed for investigating the trade‐offs affecting the adaptive value of …

The ability to learn richer network representations generally boosts the performance of deep
learning models. To improve representation-learning in convolutional neural networks, we …

Salient object detection (SOD) aims to mimic the human visual system (HVS) and cognition
mechanisms to identify and segment salient objects. However, due to the complexity of …

Can we trust our senses to tell us the truth? Challenging leading scientific theories that claim
that our senses report back objective reality, cognitive scientist Donald Hoffman argues that …

Converging evidence suggests that the primate ventral visual pathway encodes increasingly
complex stimulus features in downstream areas. We quantitatively show that there indeed …

Current attention algorithms (eg, self-attention) are stimulus-driven and highlight all the
salient objects in an image. However, intelligent agents like humans often guide their …

Newly emerging pandemics like COVID-19 call for predictive models to implement precisely
tuned responses to limit their deep impact on society. Standard epidemic models provide a …

Mitosis counting of biopsies is an important biomarker for breast cancer patients, which
supports disease prognostication and treatment planning. Developing a robust mitotic cell …

In digital cameras, we find a major limitation: the image and video form inherited from a film
camera obstructs it from capturing the rapidly changing photonic world. Here, we present …