RGB-D salient object detection (SOD) is usually formulated as a problem of classification or
regression over two modalities, ie, RGB and depth. Hence, effective RGB-D feature …

Deep Learning has implemented a wide range of applications and has become increasingly
popular in recent years. The goal of multimodal deep learning (MMDL) is to create models …

Deep Learning has implemented a wide range of applications and has become increasingly
popular in recent years. The goal of multimodal deep learning is to create models that can …

Panoptic segmentation aims to perform instance segmentation for foreground instances and
semantic segmentation for background stuff simultaneously. The typical top-down pipeline …

Production of proteins and biochemicals in microbial cell factories is often limited by carbon
and energy spent on excess biomass formation. To address this issue, we developed …

Genome editing, specifically CRISPR/Cas9 technology, has revolutionized biomedical research
and offers potential cures for genetic diseases. Despite rapid progress, low efficiency of …

With the growing prevalence of Internet of Things (IoT) devices and technology, a burgeoning
computing paradigm namely mobile edge computing (MEC) is delicately proposed and …

Prime editing recently emerged as a next-generation approach for precise genome editing.
Here we exploit DNA double-strand break (DSB) repair to develop two strategies that install …

Formulated as a conditional generation problem, face animation aims at synthesizing
continuous face images from a single source image driven by a set of conditional face motion. …

Knowledge distillation, aimed at transferring the knowledge from a heavy teacher network to
a lightweight student network, has emerged as a promising technique for compressing …