体贴 发表于 2025-3-27 00:41:52
Conference proceedings 2023ing, and shape representation; datasets and performance analysis;.Part VI: biomedical image analysis; deep learning for computer vision; ..Part VII: generative models for computer vision; segmentation and grouping; motion and tracking; document image analysis; big data, large scale methods. .鬼魂 发表于 2025-3-27 04:39:40
Conference proceedings 2023cember 2022...The total of 277 contributions included in the proceedings set was carefully reviewed and selected from 836 submissions during two rounds of reviewing and improvement. The papers focus on the following topics:..Part I: 3D computer vision; optimization methods;.Part II: applications of松紧带 发表于 2025-3-27 07:25:08
A Rational Protocol Treatment of 51% Attacksg of a 2D to 3D human pose lifter neural network. Our results show that we can achieve 3D pose estimation performance comparable to methods using real data from specialized datasets but in a zero-shot setup, showing the generalization potential of our framework.钳子 发表于 2025-3-27 11:12:34
http://reply.papertrans.cn/24/2342/234137/234137_34.png落叶剂 发表于 2025-3-27 17:00:29
Decanus to Legatus: Synthetic Training for 2D-3D Human Pose Liftingg of a 2D to 3D human pose lifter neural network. Our results show that we can achieve 3D pose estimation performance comparable to methods using real data from specialized datasets but in a zero-shot setup, showing the generalization potential of our framework.Anonymous 发表于 2025-3-27 20:41:05
http://reply.papertrans.cn/24/2342/234137/234137_36.pngjaunty 发表于 2025-3-27 23:28:55
http://reply.papertrans.cn/24/2342/234137/234137_37.pngentreat 发表于 2025-3-28 02:21:11
http://reply.papertrans.cn/24/2342/234137/234137_38.pngpreservative 发表于 2025-3-28 07:47:25
http://reply.papertrans.cn/24/2342/234137/234137_39.pngFierce 发表于 2025-3-28 12:02:43
Learning Video-Independent Eye Contact Segmentation from In-the-Wild Videosact targets vary across different videos, learning a generic video-independent eye contact detector is still a challenging task. In this work, we address the task of one-way eye contact detection for videos in the wild. Our goal is to build a unified model that can identify when a person is looking