The year 2025 holds a special place in the history of Chinese cinema.One hundred and twenty years ago,Dingjun Mountain,a cinematic adaptation of a classic Peking Opera,came out and was later remembered as the first Ch...
the National Natural Science Foundation of China(Grant Number 42301478);Natural Science Foundation of Anhui Province(No.2208085QD108);the Major Project of Natural Science Research of Anhui Provincial Department of Education(Grant Number KJ2021ZD0130).
Color,as a significant element of village landscapes,serves various functions such as enhancing aesthetic appeal and attractiveness,conveying emotions and cultural values.To explore the three-dimensional spatial chara...
National Key R&D Program of China,Grant/Award Number:2021YFC3300203;TaiShan Scholars Program,Grant/Award Number:tsqn202211289;Oversea Innovation Team Project of the“20 Regulations for New Universities”funding program of Jinan,Grant/Award Number:2021GXRC073;Excellent Youth Scholars Program of Shandong Province,Grant/Award Number:2022HWYQ-048。
3D scene understanding and reconstruction aims to obtain a concise scene representation from images and reconstruct the complete scene,including the scene layout,objects bounding boxes and shapes.Existing holistic sce...
We propose a dynamic simultaneous localization and mapping technology for unsupervised motion removal(UMR-SLAM),which is a deep learning-based dynamic RGBD SLAM.It is the first time that a scheme combining scene flow ...
Key Laboratory of Degraded and Unused Land Consolidation Engineering,Ministry of Natural Resources of China,Grant/Award Number:SXDJ2024-22;Technology Innovation Centre for Integrated Applications in Remote Sensing and Navigation,Ministry of Natural Resources of China,Grant/Award Number:TICIARSN-2023-06;National Natural Science Foundation of China,Grant/Award Numbers:42171446,62302246;Zhejiang Provincial Natural Science Foundation of China,Grant/Award Number:LQ23F010008;Science and Technology Program of Tianjin,China,Grant/Award Number:23ZGSSSS00010。
Semantic segmentation in the context of 3D point clouds for the railway environment holds a significant economic value,but its development is severely hindered by the lack of suitable and specific datasets.Additionall...
supported in part by the National Natural Science Foundation of China(62372457,62002375,62002376);Young Elite Scientists Sponsorship Program by CAST(2023QNRC001);the Natural Science Foundation of Hunan Province of China(2021RC3071).
It is challenging to automatically explore an unknown 3D environment with a robot only equipped with depth sensors due to the limited field of view.We introduce THP,a tensor field-based framework for efficient environ...
supported in part by the Fundamental Research Funds for the Central Universities of Beijing University of Chemical Technology(Grant No.BUCTRC202132);the National Natural Science Foundation of China(Grant Nos.42371476 and 41971366).
Rapid and accurate acquisition and analysis of information is crucial for emergency management,but traditional methods have limitations such as incomplete information acquisition and slow processing speed.The natural ...
Learning-based multi-view stereo(MVS)algorithms have demonstrated great potential for depth estimation in recent years.However,they still struggle to estimate accurate depth in texture-less planar regions,which limits...
supported by National Natural Science Foundation of China(No.61561030);College Industry Support Plan Project of Gansu Provincial Department of Education(No.2021CYZC-04);Educational Reform Fund of Lanzhou Jiaotong University(No.JG201928)。
In order to solve the problems of color bias and visual deviation caused by inaccurate estimation of transmittance and atmospheric light in image defogging,a new algorithm based on multi-scale morphological reconstruc...
supported by National Natural Science Foundation of China(Grant Nos.62225603,62226104)。
Large models have recently played a dominant role in natural language processing and multimodal vision-language learning.However,their effectiveness in text-related visual tasks remains relatively unexplored.In this p...