找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Advances in Multimedia Information Processing – PCM 2017; 18th Pacific-Rim Con Bing Zeng,Qingming Huang,Xiaopeng Fan Conference proceedings

[復制鏈接]
樓主: Roosevelt
31#
發(fā)表于 2025-3-27 00:14:40 | 只看該作者
32#
發(fā)表于 2025-3-27 01:55:44 | 只看該作者
Introduction to Steady-State Systemsal prior of random walk model by adding an extra item into the weight matrix of the graph constructed from an image. Experimental results show that the proposed method acts better than Dense CRF in pixel accuracy and mean IoU, and obtains smoother results. In addition, our method significantly reduces the time cost of refinement process.
33#
發(fā)表于 2025-3-27 08:43:27 | 只看該作者
Cooperativity Theory in Biochemistrynce image using the dense motion fields of background and reflection respectively. Finally, with the initial solution provided, the background and reflection images can be separated using alternating optimization. Experiment results showed that our method can achieve a robust performance compared with the state of art.
34#
發(fā)表于 2025-3-27 09:27:33 | 只看該作者
Cooperativity Theory in Biochemistrycale local appearance based keypoint likelihood with filtered viewpoint conditioned likelihood to induce a considerable performance gain. Experimentally, we show that our framework outperforms state-of-the-art methods on PASCAL 3D benchmark.
35#
發(fā)表于 2025-3-27 17:24:47 | 只看該作者
https://doi.org/10.1007/978-1-4757-3302-0rallelism method to accelerate constraint resolving and collision detection. As a result, our system can provide realistic effects for the virtual fitting while meeting the real-time and robustness requirements.
36#
發(fā)表于 2025-3-27 20:06:12 | 只看該作者
37#
發(fā)表于 2025-3-28 01:30:47 | 只看該作者
38#
發(fā)表于 2025-3-28 02:37:52 | 只看該作者
39#
發(fā)表于 2025-3-28 07:06:55 | 只看該作者
40#
發(fā)表于 2025-3-28 12:26:10 | 只看該作者
A Fine-Grained Filtered Viewpoint Informed Keypoint Prediction from 2D Imagescale local appearance based keypoint likelihood with filtered viewpoint conditioned likelihood to induce a considerable performance gain. Experimentally, we show that our framework outperforms state-of-the-art methods on PASCAL 3D benchmark.
 關于派博傳思  派博傳思旗下網站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網 吾愛論文網 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經驗總結 SCIENCEGARD IMPACTFACTOR 派博系數 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網安備110108008328) GMT+8, 2025-10-10 06:42
Copyright © 2001-2015 派博傳思   京公網安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
开江县| 黑山县| 西平县| 兴隆县| 长垣县| 搜索| 临沧市| 津南区| 左云县| 晋州市| 中阳县| 齐河县| 固镇县| 崇州市| 垦利县| 正镶白旗| 南木林县| 望城县| 饶阳县| 宝鸡市| 丹阳市| 彰化县| 贵州省| 杭锦旗| 上高县| 峨边| 丹巴县| 固安县| 旺苍县| 调兵山市| 宜兰市| 广东省| 哈密市| 浙江省| 河曲县| 周口市| 岚皋县| 石景山区| 定边县| 安溪县| 彭州市|