7 accepted papers
In recent years, human-AI cognitive consistency has emerged as a crucial perspective for evaluating the perceptual quality and interpretability of AIGC (Artificial Intelligence Generated Content). This paper proposes a biologically inspired saliency prediction framework that models six core regions
Recent advances have demonstrated that coded aperture snapshot spectral imaging (CASSI) systems show great potential for capturing 3D hyperspectral images (HSIs) from a single 2D measurement. Despite the inherent spectral continuity of scenes captured by CASSI, most existing reconstruction methods a…
Recent advancements have suggested that neural radiance fields (NeRFs) show great potential in color editing within the 3D domain. However, most existing NeRF-based editing methods continue to face significant challenges in local region editing, which usually lead to imprecise local object boundarie…
In large-scale underground mines and mine-like deep urban canyons, intersections are crucial geometry structures. Accurate recognition of intersections is of great importance to improve localization precision for Unmanned Aerial Vehicles(UAVs) and Unmanned Ground Vehicles(UGVs). Currently, tradition
In this paper, we propose an optimal modeling framework for image compression using EMM (Epanechnikov Mixture Model). Epanechnikov Kernel and its correlated statistics are basement of our Epanechnikov Mixture Regression (EMR). In our scheme, the stochastic processes of the pixel values are modelled…
A Gaussian Mixture Model (GMM)-based framework for image compression is proposed in this paper. The image is predicted using GMM whose parameters are estimated using common Expectation-Maximization (EM) algorithm and encoded with fixed length bits. We introduce a new GMM Model Optimization (GMO) mea…
Occlusions and poor textures are two main problems in multi-view stereo reconstruction. This paper presents a video-based solution to address both challenges in depth estimation. We focus on reconstructing accurate inner boundaries of visible textureless areas, particularly for occluded background,…