GitHub

Accurate Single Stage Detector Using Recurrent Rolling Convolution

High localization accuracy is crucial in many real-world applications. We propose a novel single stage end-to-end object detection network (RRC) to produce high accuracy detection results. You can use ...
IEEE

A Reconfigurable Convolution-in-Pixel CMOS Image Sensor Architecture

Abstract: The separation of the data capture and analysis in modern vision systems has led to a massive amount of data transfer between the end devices and cloud computers, resulting in long latency, ...
IEEE

A Multiview Sparse Dynamic Graph Convolution-Based Region-Attention Feature Fusion Network for Major Depressive Disorder Detection

Abstract: Detecting and diagnosing major depressive disorder (MDD) is greatly crucial for appropriate treatment and support. In recent years, there have been efforts to develop automated methods for ...
GitHub

Adaptive Graph Convolution for Point Cloud Analysis

This repository contains the implementation of AdaptConv for point cloud analysis. Adaptive Graph Convolution (AdaptConv) is a point cloud convolution operator presented in our ICCV2021 paper. If you ...