Zobrazeno 1 - 10
of 824
pro vyhledávání: '"Xie, Xiaohui"'
Network traffic classification is a crucial research area aiming to enhance service quality, streamline network management, and bolster cybersecurity. To address the growing complexity of transmission encryption techniques, various machine learning a
Externí odkaz:
http://arxiv.org/abs/2405.11449
Photorealistic simulation plays a crucial role in applications such as autonomous driving, where advances in neural radiance fields (NeRFs) may allow better scalability through the automatic creation of digital 3D assets. However, reconstruction qual
Externí odkaz:
http://arxiv.org/abs/2405.00900
We propose a new neural network based method for solving inverse problems for partial differential equations (PDEs) by formulating the PDE inverse problem as a bilevel optimization problem. At the upper level, we minimize the data loss with respect t
Externí odkaz:
http://arxiv.org/abs/2404.17789
The networking field is characterized by its high complexity and rapid iteration, requiring extensive expertise to accomplish network tasks, ranging from network design, configuration, diagnosis and security. The inherent complexity of these tasks, c
Externí odkaz:
http://arxiv.org/abs/2404.12901
The tasks of legal case retrieval have received growing attention from the IR community in the last decade. Relevance feedback techniques with implicit user feedback (e.g., clicks) have been demonstrated to be effective in traditional search tasks (e
Externí odkaz:
http://arxiv.org/abs/2403.13242
In the realm of computer vision and graphics, accurately establishing correspondences between geometric 3D shapes is pivotal for applications like object tracking, registration, texture transfer, and statistical shape analysis. Moving beyond traditio
Externí odkaz:
http://arxiv.org/abs/2403.01781
Autor:
Ma, Haoyu, Mahdizadehaghdam, Shahin, Wu, Bichen, Fan, Zhipeng, Gu, Yuchao, Zhao, Wenliang, Shapira, Lior, Xie, Xiaohui
Recent advances in generative AI have significantly enhanced image and video editing, particularly in the context of text prompt control. State-of-the-art approaches predominantly rely on diffusion models to accomplish these tasks. However, the compu
Externí odkaz:
http://arxiv.org/abs/2312.12468
The Relevance Feedback (RF) process relies on accurate and real-time relevance estimation of feedback documents to improve retrieval performance. Since collecting explicit relevance annotations imposes an extra burden on the user, extensive studies h
Externí odkaz:
http://arxiv.org/abs/2312.05669
Image registration has traditionally been done using two distinct approaches: learning based methods, relying on robust deep neural networks, and optimization-based methods, applying complex mathematical transformations to warp images accordingly. Of
Externí odkaz:
http://arxiv.org/abs/2311.15497
Reconstructing personalized animatable head avatars has significant implications in the fields of AR/VR. Existing methods for achieving explicit face control of 3D Morphable Models (3DMM) typically rely on multi-view images or videos of a single subj
Externí odkaz:
http://arxiv.org/abs/2311.06443