UCLA researchers have introduced a framework for synthesizing arbitrary, spatially varying 3D point spread functions (PSFs) ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Dr Ahmad Abdi Combinatorial optimisation; integer and linear programming; graph theory; matroid theory Dr Neil Olver Combinatorial optimisation and its intersections with algorithmic game theory and ...

Multiscale 3D-Shift Graph Convolution Network for Emotion Recognition From Human Actions Abstract: Emotion recognition from body gestures is challenging since similar emotions can be expressed by ...

Dr Ahmad Abdi Combinatorial optimisation; integer and linear programming; graph theory; matroid theory Professor Peter Allen Extremal and probabilistic combinatorics; Ramsey theory; graph and ...

In this paper, we study the problem of learning Graph Convolutional Networks (GCNs) for regression. Current architectures of GCNs are limited to the small receptive field of convolution filters and ...