InfoQ

Java Concurrency from the Trenches: Lessons Learned in the Wild

Hugo Marques explains how to navigate Java concurrency at scale, moving beyond simple frameworks to solve high-throughput IO ...
IEEE

Comparing YOLO Models for Self-Driving Car Object Detection

Abstract: For self-driving cars, precise object detection is needed to ensure safety. In this paper, three different YOLO models, YOLOv5, YOLOv8, and YOLOv11, are tested on the KITTI dataset to find ...
IEEE

FocalPose++: Focal Length and Object Pose Estimation via Render and Compare

Abstract: We introduce FocalPose++, a neural render-and-compare method for jointly estimating the camera-object 6D pose and camera focal length given a single RGB input image depicting a known object.