Ccu106 发表于 2025-3-28 16:16:07
http://reply.papertrans.cn/24/2342/234164/234164_41.pngFECT 发表于 2025-3-28 22:03:15
http://reply.papertrans.cn/24/2342/234164/234164_42.png圣歌 发表于 2025-3-29 00:29:55
Gastric Carcinoma in the Elderlypling MPP using the Reversible Jump Markov Chain Monte Carlo (RJMCMC) algorithm. We also present an evaluation setup to measure the performance of the proposed model. We present results on a variety of images obtained from the Internet to illustrate the performance of the proposed model.Abnormal 发表于 2025-3-29 03:15:44
http://reply.papertrans.cn/24/2342/234164/234164_44.pngCRUE 发表于 2025-3-29 08:40:28
A Modular Framework for 2D/3D and Multi-modal Segmentation with Joint Super-Resolutionange of machine vision problems. The framework performs a joint segmentation and super-resolution to account for images of unequal resolutions gained from different imaging sensors. This allows to combine high resolution details of one modality with the distinctiveness of another modality. A set ofinsurgent 发表于 2025-3-29 11:34:43
http://reply.papertrans.cn/24/2342/234164/234164_46.png深陷 发表于 2025-3-29 18:07:57
Combining Textural and Geometrical Descriptors for Scene Recognitiontion of 3D data also becomes practical. The number of studies that make use of this extra information is increasing. However, their applicabilities are limited due to the need for generic combination methods. In this paper, we propose combining textural and geometrical descriptors for scene recognit闪光你我 发表于 2025-3-29 20:25:00
http://reply.papertrans.cn/24/2342/234164/234164_48.pngoracle 发表于 2025-3-30 00:32:33
Human Daily Action Analysis with Multi-view and Color-Depth Datan into consideration and construct a novel dataset of human daily actions. The proposed ACT4. dataset provides synchronized data from 4 views and 2 sources, aiming to facilitate the research of action analysis across multiple views and multiple sources. We also propose a new descriptor of depth info熔岩 发表于 2025-3-30 06:47:31
Viewpoint Invariant Matching via Developable Surfaces(RGBD), yet the number of approaches that can take advantage of color and geometry data at the same time is quite limited. We address the topic of wide baseline matching between two RGBD images, i.e. finding correspondences from largely different viewpoints for recognition, model fusion or loop dete