output
20142024
most citedRobust Point Cloud Registration Framework Based on Deep Graph Matching(TPAMI Version)

49 citations

8 papers

cs.AI2024★ 2 cited

How Do Humans Write Code? Large Models Do It the Same Way Too

Long Li, Xuzheng He, Haozhe Wang +2

Program-of-Thought (PoT) replaces natural language-based Chain-of-Thought (CoT) as the most popular method in Large Language Models (LLMs) mathematical reasoning tasks by utilizing…

cs.CL2024★ 5 cited

SEER: Facilitating Structured Reasoning and Explanation via Reinforcement Learning

Guoxin Chen, Kexin Tang, Chao Yang +3

Elucidating the reasoning process with structured explanations from question to answer is crucial, as it significantly enhances the interpretability, traceability, and trustworthin…

cs.CV2022★ 49 cited

Robust Point Cloud Registration Framework Based on Deep Graph Matching(TPAMI Version)

Kexue Fu, Jiazheng Luo, Xiaoyuan Luo +3

3D point cloud registration is a fundamental problem in computer vision and robotics. Recently, learning-based point cloud registration methods have made great progress. However, t…

cs.LG2020★ 12 cited

Denoising-based Turbo Message Passing for Compressed Video Background Subtraction

Zhipeng Xue, Xiaojun Yuan, Yang Yang

In this paper, we consider the compressed video background subtraction problem that separates the background and foreground of a video from its compressed measurements. The backgro…

cs.NI2020

History-Aware Online Cache Placement in Fog-Assisted IoT Systems: An Integration of Learning and Control

Xin Gao, Xi Huang, Yinxu Tang +2

In Fog-assisted IoT systems, it is a common practice to cache popular content at the network edge to achieve high quality of service. Due to uncertainties in practice such as unkno…

cs.CV2018★ 3 cited

Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network

Dongsheng Jiang, Weiqiang Dou, Luc Vosters +3

The denoising of magnetic resonance (MR) images is a task of great importance for improving the acquired image quality. Many methods have been proposed in the literature to retriev…

cs.AI2017★ 2 cited

Probabilistic Search for Structured Data via Probabilistic Programming and Nonparametric Bayes

Feras Saad, Leonardo Casarsa, Vikash Mansinghka

Databases are widespread, yet extracting relevant data can be difficult. Without substantial domain knowledge, multivariate search queries often return sparse or uninformative resu…

math-ph2014★ 41 cited

The proper analytical solution of the Korteweg-de Vries-Burgers equation

Jian-Jun Shu

The asymptotic expansion of the Korteweg-de Vries-Burgers equation is presented in this paper.