Zobrazeno 1 - 10
of 725
pro vyhledávání: '"LING, HAIBIN"'
Underwater image restoration aims to remove geometric and color distortions due to water refraction, absorption and scattering. Previous studies focus on restoring either color or the geometry, but to our best knowledge, not both. However, in practic
Externí odkaz:
http://arxiv.org/abs/2412.15890
We present GS-ProCams, the first Gaussian Splatting-based framework for projector-camera systems (ProCams). GS-ProCams significantly enhances the efficiency of projection mapping (PM) that requires establishing geometric and radiometric mappings betw
Externí odkaz:
http://arxiv.org/abs/2412.11762
Predicting electronic band structures from crystal structures is crucial for understanding structure-property correlations in materials science. First-principles approaches are accurate but computationally intensive. Recent years, machine learning (M
Externí odkaz:
http://arxiv.org/abs/2411.16483
Autor:
Wang, Fan, Zou, Zhilin, Sakla, Nicole, Partyka, Luke, Rawal, Nil, Singh, Gagandeep, Zhao, Wei, Ling, Haibin, Huang, Chuan, Prasanna, Prateek, Chen, Chao
Publikováno v:
Volume 99, 2025, 103373
Characterization of breast parenchyma in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a challenging task owing to the complexity of underlying tissue structures. Existing quantitative approaches, like radiomics and deep learning
Externí odkaz:
http://arxiv.org/abs/2411.03464
Autor:
Zhang, Yiwei, Gao, Jin, Ge, Fudong, Luo, Guan, Li, Bing, Zhang, Zhaoxiang, Ling, Haibin, Hu, Weiming
Bird's-eye-view (BEV) map layout estimation requires an accurate and full understanding of the semantics for the environmental elements around the ego car to make the results coherent and realistic. Due to the challenges posed by occlusion, unfavoura
Externí odkaz:
http://arxiv.org/abs/2411.01618
Autor:
Das, Dibyendu, Fontanini, Alfredo, Kogan, Joshua F., Ling, Haibin, Ramakrishnan, C. R., Ramakrishnan, I. V.
Fully optimized automation of behavioral training protocols for lab animals like rodents has long been a coveted goal for researchers. It is an otherwise labor-intensive and time-consuming process that demands close interaction between the animal and
Externí odkaz:
http://arxiv.org/abs/2410.18221
Recently, backdoor attack has become an increasing security threat to deep neural networks and drawn the attention of researchers. Backdoor attacks exploit vulnerabilities in third-party pretrained models during the training phase, enabling them to b
Externí odkaz:
http://arxiv.org/abs/2410.12955
Edge detection is typically viewed as a pixel-level classification problem mainly addressed by discriminative methods. Recently, generative edge detection methods, especially diffusion model based solutions, are initialized in the edge detection task
Externí odkaz:
http://arxiv.org/abs/2410.03080
Autor:
Lyu, Weimin, Yao, Jiachen, Gupta, Saumya, Pang, Lu, Sun, Tao, Yi, Lingjie, Hu, Lijie, Ling, Haibin, Chen, Chao
The emergence of Vision-Language Models (VLMs) represents a significant advancement in integrating computer vision with Large Language Models (LLMs) to generate detailed text descriptions from visual inputs. Despite their growing importance, the secu
Externí odkaz:
http://arxiv.org/abs/2410.01264
The emergence of Vision Language Models (VLMs) is a significant advancement in integrating computer vision with Large Language Models (LLMs) to produce detailed text descriptions based on visual inputs, yet it introduces new security vulnerabilities.
Externí odkaz:
http://arxiv.org/abs/2409.19232