Intel Labs researchers will present 24 papers at CVPR 2024 on June 17-21. Six Intel Labs papers have been accepted as main conference papers, including highlight paper LiSA: LiDAR Localization with Semantic Awareness, which is the first method that incorporat...
机构:俄勒冈州立大学 原文链接:https://openaccess.thecvf.com/content/CVPR2024/papers/Jiang_Comparing_the_Decision-Making_Mechanisms_by_Transformers_and_CNNs_via_Explanation_CVPR_2024_paper.pdf 2. 摘要 为了深入了解不同视觉识别主干网络的决策过程,我们提出了两种方法论,即子解释计数和交叉测试,这两种方法...
机构:波恩大学 原文链接:https://openaccess.thecvf.com/content/CVPR2024/papers/Roetzer_SpiderMatch_3D_Shape_Matching_with_Global_Optimality_and_Geometric_Consistency_CVPR_2024_paper.pdf 代码链接:https://github.com/paul0noah/spider-match 官方主页:https://paulroetzer.github.io/publications/2024-06-19...
CVPR2022论文和代码整理:https://github.com/DWCTOD/CVPR2022-Papers-with-Code-Demo Updated on : 12 Apr 2022 total number : 24 分类/ Classification - 1 篇 Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification 标题:联合分配事项:少量分类的深褐色距离协方差 论文/Pape...
论文:https://openaccess.thecvf.com/content/CVPR2024/papers/Zhang_MESA_Matching_Everything_by_Segmenting_Anything_CVPR_2024_paper.pdf 我们从冗余去除的视角重新审视特征匹配问题,提出了一种新的特征匹配范式。该范式以语义区域为核心,通过高维图像理解来高效地去除特征匹配中的冗余。具体来说,我们首先借助于图像...
整理:AI算法与图像处理 CVPR2022论文和代码整理:https://github.com/DWCTOD/CVPR2022-Papers-with-Code-Demo 欢迎关注: DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation 论文/Paper: http://arxiv.org/abs/2203.12560 ...
{10.1145/3641519.3657478}, booktitle = {ACM SIGGRAPH 2024 Conference Papers}, articleno = {59}, numpages = {10}, keywords = {3D head avatar, GAN inversion, few-shot reconstruction, one-shot reconstruction, recurrent neural network}, location = {Denver, CO, USA}, series = {SIGGRAPH '24}...
Feb, 2024:PTv3andPPTare accepted by CVPR'24, anothertwopapers by our Pointcept team have also been accepted by CVPR'24 🎉🎉🎉. We will make them publicly available soon! Dec, 2023:PTv3is released on arXiv, and the code is available in Pointcept. PTv3 is an efficient backbone mo...
https://openaccess.thecvf.com/content/ICCV2023/papers/Wei_Passive_Ultra-Wideband_Single-Photon_Imaging_ICCV_2023_paper.pdf 我们考虑如何在极端的时间范围内同时对动态场景进行成像—从秒到皮秒—并且这样做是被动的,光线不多,且不需要来自发光源的任何时间信号。因为现有的单光子相机的光束估计技术在这个范围内...
原文链接:https://openaccess.thecvf.com/content/CVPR2024/papers/Jiang_Comparing_the_Decision-Making_Mechanisms_by_Transformers_and_CNNs_via_Explanation_CVPR_2024_paper.pdf 2. 摘要 为了深入了解不同视觉识别主干网络的决策过程,我们提出了两种方法论,即子解释计数和交叉测试,这两种方法论可以在整个数据集上...