March is always a big one for books – this year is no different. We call out a handful of upcoming titles for readers to put ...
This repository contains the code for our NeurIPS 2024 paper: “Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection”. Please follow the SST setup ...
Abstract: In order to explore whether type annotations can help students improve the efficiency of Python program development, this paper designs and implements a comparative experiment. A total of 38 ...
Nuke 17.0 adds native Gaussian Splats, USD 3D system and BigCat machine learning to Foundry’s compositing pipeline.
Abstract: Active learning (AL) is an effective method to balance annotation costs and model performance under resource-constrained circumstances. Most existing AL studies are typically designed for ...
Monty already supports Python type annotations and can run static typechecking via ty before execution, using optional stub definitions. This proposal is to treat those same annotations as runtime ...