Zobrazeno 1 - 10
of 533
pro vyhledávání: '"Xie, Yifan"'
CCIS-Diff: A Generative Model with Stable Diffusion Prior for Controlled Colonoscopy Image Synthesis
Colonoscopy is crucial for identifying adenomatous polyps and preventing colorectal cancer. However, developing robust models for polyp detection is challenging by the limited size and accessibility of existing colonoscopy datasets. While previous ef
Externí odkaz:
http://arxiv.org/abs/2411.12198
This paper presents a data-driven min-max model predictive control (MPC) scheme for linear parameter-varying (LPV) systems. Contrary to existing data-driven LPV control approaches, we assume that the scheduling signal is unknown during offline data c
Externí odkaz:
http://arxiv.org/abs/2411.05624
3D contrastive representation learning has exhibited remarkable efficacy across various downstream tasks. However, existing contrastive learning paradigms based on cosine similarity fail to deeply explore the potential intra-modal hierarchical and cr
Externí odkaz:
http://arxiv.org/abs/2409.15810
Invariance-based and generative methods have shown a conspicuous performance for 3D self-supervised representation learning (SSRL). However, the former relies on hand-crafted data augmentations that introduce bias not universally applicable to all do
Externí odkaz:
http://arxiv.org/abs/2409.15803
Multiple rotation averaging plays a crucial role in computer vision and robotics domains. The conventional optimization-based methods optimize a nonlinear cost function based on certain noise assumptions, while most previous learning-based methods re
Externí odkaz:
http://arxiv.org/abs/2409.09790
Dense colored point clouds enhance visual perception and are of significant value in various robotic applications. However, existing learning-based point cloud upsampling methods are constrained by computational resources and batch processing strateg
Externí odkaz:
http://arxiv.org/abs/2409.01581
Autor:
Feng, Yu, Zeng, Weiming, Xie, Yifan, Chen, Hongyu, Wang, Lei, Wang, Yingying, Yan, Hongjie, Zhang, Kaile, Tao, Ran, Siok, Wai Ting, Wang, Nizhuan
Background: Although it has been noticed that depressed patients show differences in processing emotions, the precise neural modulation mechanisms of positive and negative emotions remain elusive. FMRI is a cutting-edge medical imaging technology ren
Externí odkaz:
http://arxiv.org/abs/2407.18492
Multiview point cloud registration serves as a cornerstone of various computer vision tasks. Previous approaches typically adhere to a global paradigm, where a pose graph is initially constructed followed by motion synchronization to determine the ab
Externí odkaz:
http://arxiv.org/abs/2407.07525
Autor:
Ma, Fei, Yuan, Yucheng, Xie, Yifan, Ren, Hongwei, Liu, Ivan, He, Ying, Ren, Fuji, Yu, Fei Richard, Ni, Shiguang
Affective computing stands at the forefront of artificial intelligence (AI), seeking to imbue machines with the ability to comprehend and respond to human emotions. Central to this field is emotion recognition, which endeavors to identify and interpr
Externí odkaz:
http://arxiv.org/abs/2407.03640
Data-driven controllers design is an important research problem, in particular when data is corrupted by the noise. In this paper, we propose a data-driven min-max model predictive control (MPC) scheme using noisy input-state data for unknown linear
Externí odkaz:
http://arxiv.org/abs/2404.19096