PartSTAD: 2D-to-3D Part Segmentation Task Adaptation
The article introduces PARTSTAD, a method designed for the task adaptation of 2D-to-3D segmentation lifting. It optimizes…
Efficient Image Deblurring Networks based on Diffusion Models
The article presents ‘Swintormer’, a new model for image deblurring that offers improved performance and lower memory…
CoSSegGaussians: Compact and Swift Scene Segmenting 3D Gaussians
The article introduces ‘Compact and Swift Segmenting 3D Gaussians (CoSSegGaussians)’, a method designed to perform 3D scene…
A Lightweight Feature Fusion Architecture For Resource-Constrained Crowd Counting
This paper presents two lightweight models for crowd counting, which is the estimation of the number of…
UAVD4L: A Large-Scale Dataset for UAV 6-DoF Localization
This article introduces a large-scale dataset for 6-DoF localization of Unmanned Aerial Vehicles (UAVs) called UAVD4L. The…
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring
The article presents MGARD, a software that provides MultiGrid Adaptive Reduction for floating-point scientific data on structured…
TRIPS: Trilinear Point Splatting for Real-Time Radiance Field Rendering
The article presents TRIPS (Trilinear Point Splatting), a novel approach for point-based radiance field rendering. It combines…
Sea ice detection using concurrent multispectral and synthetic aperture radar imagery
This paper focuses on the development of a new tool, ViSual_IceD, a convolutional neural network (CNN) for…
Attention to detail: inter-resolution knowledge distillation
The article presents a new approach to dealing with computational limitations in developing computer vision solutions for…
Surgical-DINO: Adapter Learning of Foundation Model for Depth Estimation in Endoscopic Surgery
This study introduces Surgical-DINO, a model for depth estimation in endoscopic surgery. This model is a low-rank…