no code implementations • 4 Apr 2024 • Ran Wei, Arindam K. Das, Payman Arabshahi, Daniel S. Kirschen
Severe weather events such as floods, hurricanes, earthquakes, and large wind or ice storms can cause extensive damage to electrical distribution networks, requiring a multi-day restoration effort.
no code implementations • 10 Nov 2023 • Johan Engström, Ran Wei, Anthony McDonald, Alfredo Garcia, Matt O'Kelly, Leif Johnson
Understanding adaptive human driving behavior, in particular how drivers manage uncertainty, is of key importance for developing simulated human driver models that can be used in the evaluation and development of autonomous vehicles.
1 code implementation • 10 Oct 2023 • Ran Wei, Nathan Lambert, Anthony McDonald, Alfredo Garcia, Roberto Calandra
Model-based Reinforcement Learning (MBRL) aims to make agents more sample-efficient, adaptive, and explainable by learning an explicit model of the environment.
2 code implementations • 15 Sep 2023 • Ran Wei, Siliang Zeng, Chenliang Li, Alfredo Garcia, Anthony McDonald, Mingyi Hong
We consider a Bayesian approach to offline model-based inverse reinforcement learning (IRL).
1 code implementation • 27 Apr 2023 • Zihao Li, Pan Gao, Hui Yuan, Ran Wei, Manoranjan Paul
Discovering inter-point connection for efficient high-dimensional feature extraction from point coordinate is a key challenge in processing point cloud.
Ranked #1 on 3D Object Classification on ModelNet40
no code implementations • 27 Mar 2023 • Ran Wei, Anthony D. McDonald, Alfredo Garcia, Gustav Markkula, Johan Engstrom, Matthew O'Kelly
We assessed the proposed model, the Active Inference Driving Agent (AIDA), through a benchmark analysis against the rule-based Intelligent Driver Model, and two neural network Behavior Cloning models.
no code implementations • 19 Jan 2023 • Ran Wei, Lyutianyang Zhang
Timeliness of information is critical for Basic Safety Messages (BSMs) in Vehicle-to-Everything (V2X) communication to enable highly reliable autonomous driving.
1 code implementation • 7 Jan 2023 • Zihao Li, Pan Gao, Hui Yuan, Ran Wei
Existing point cloud learning methods aggregate features from neighbouring points relying on constructing graph in the spatial domain, which results in feature update for each point based on spatially-fixed neighbours throughout layers.
no code implementations • 23 Aug 2022 • Ran Wei
Subsequently, the average throughput as a function of distance in the partially connected vehicular network is analyzed.
no code implementations • Transportation Research Part D: Transport and Environment 2022 • Zhiyan Yi, Xiaoyue Cathy Liu, Ran Wei
The results are fed into the capacitated maximal coverage location problem (CMCLP) model to optimize the spatial layout of public charging stations by maximizing their utilization.
1 code implementation • 11 Feb 2022 • Haoyue Tian, Pan Gao, Ran Wei, Manoranjan Paul
Motion estimation and motion compensation are indispensable parts of inter prediction in video coding.
1 code implementation • 20 Jun 2021 • Junlin Han, Mehrdad Shoeiby, Tim Malthus, Elizabeth Botha, Janet Anstee, Saeed Anwar, Ran Wei, Mohammad Ali Armin, Hongdong Li, Lars Petersson
There are 2000 reference restored images and 6003 original underwater images in the unpaired training set.
1 code implementation • 17 Mar 2021 • Junlin Han, Mehrdad Shoeiby, Tim Malthus, Elizabeth Botha, Janet Anstee, Saeed Anwar, Ran Wei, Lars Petersson, Mohammad Ali Armin
Underwater image restoration attracts significant attention due to its importance in unveiling the underwater world.
1 code implementation • 11 Apr 2020 • Ziwei Liao, Wei Wang, Xianyu Qi, Xiao-Yu Zhang, Lin Xue, Jianzhen Jiao, Ran Wei
As objects are often observed locally, the proposed algorithm uses the symmetrical properties of indoor artificial objects to estimate the occluded parts to obtain more accurate quadric parameters.
no code implementations • 11 Oct 2019 • Ziwei Liao, Jieqi Shi, Xianyu Qi, Xiao-Yu Zhang, Wei Wang, Yijia He, Ran Wei, Xiao Liu
Robust visual localization for urban vehicles remains challenging and unsolved.
no code implementations • 1 Apr 2019 • Mehrdad Shoeiby, Antonio Robles-Kelly, Ran Wei, Radu Timofte
This paper introduces a newly collected and novel dataset (StereoMSI) for example-based single and colour-guided spectral image super-resolution.
no code implementations • SEMEVAL 2018 • Zewen Chi, He-Yan Huang, Jiangui Chen, Hao Wu, Ran Wei
This paper presents a method for Affect in Tweets, which is the task to automatically determine the intensity of emotions and intensity of sentiment of tweets.