Zobrazeno 1 - 10
of 649
pro vyhledávání: '"Hao, Aimin"'
Autor:
Li, Yinglong, Wu, Hongyu, Wang, Xiaogang, Qin, Qingzhao, Zhao, Yijiao, wang, Yong, Hao, Aimin
We propose FaceCom, a method for 3D facial shape completion, which delivers high-fidelity results for incomplete facial inputs of arbitrary forms. Unlike end-to-end shape completion methods based on point clouds or voxels, our approach relies on a me
Externí odkaz:
http://arxiv.org/abs/2406.02074
Colorectal polyp segmentation (CPS), an essential problem in medical image analysis, has garnered growing research attention. Recently, the deep learning-based model completely overwhelmed traditional methods in the field of CPS, and more and more de
Externí odkaz:
http://arxiv.org/abs/2401.11734
In this paper, we present a unified framework to simulate non-Newtonian behaviors. We combine viscous and elasto-plastic stress into a unified particle solver to achieve various non-Newtonian behaviors ranging from fluid-like to solid-like. Our const
Externí odkaz:
http://arxiv.org/abs/2312.04814
To date, the widely adopted way to perform fixation collection in panoptic video is based on a head-mounted display (HMD), where users' fixations are collected while wearing an HMD to explore the given panoptic scene freely. However, this widely-used
Externí odkaz:
http://arxiv.org/abs/2305.13901
High-accuracy, high-efficiency physics-based fluid-solid interaction is essential for reality modeling and computer animation in online games or real-time Virtual Reality (VR) systems. However, the large-scale simulation of incompressible fluid and i
Externí odkaz:
http://arxiv.org/abs/2305.03315
Publikováno v:
AAAI 2023
Although weakly-supervised techniques can reduce the labeling effort, it is unclear whether a saliency model trained with weakly-supervised data (e.g., point annotation) can achieve the equivalent performance of its fully-supervised version. This pap
Externí odkaz:
http://arxiv.org/abs/2212.06493
Publikováno v:
ACM MM, 2022
Although deep salient object detection (SOD) has achieved remarkable progress, deep SOD models are extremely data-hungry, requiring large-scale pixel-wise annotations to deliver such promising results. In this paper, we propose a novel yet effective
Externí odkaz:
http://arxiv.org/abs/2210.13835
Publikováno v:
IEEE TIP, 2022
Recent research advances in salient object detection (SOD) could largely be attributed to ever-stronger multi-scale feature representation empowered by the deep learning technologies. The existing SOD deep models extract multi-scale features via the
Externí odkaz:
http://arxiv.org/abs/2210.13821
Publikováno v:
In Computers in Industry October 2024 161
Publikováno v:
In Computer-Aided Design October 2024 175