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09/04/2023
Passing Heatmap Prediction Based on Transformer Model and Tracking Data
Although the data-driven analysis of football players' performance has b...
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06/20/2023
Discovering Causality for Efficient Cooperation in Multi-Agent Environments
In cooperative Multi-Agent Reinforcement Learning (MARL) agents are requ...
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03/25/2023
Embedding Contextual Information through Reward Shaping in Multi-Agent Learning: A Case Study from Google Football
Artificial Intelligence has been used to help human complete difficult t...
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03/24/2023
Causality Detection for Efficient Multi-Agent Reinforcement Learning
When learning a task as a team, some agents in Multi-Agent Reinforcement...
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03/23/2023
Deep Generative Multi-Agent Imitation Model as a Computational Benchmark for Evaluating Human Performance in Complex Interactive Tasks: A Case Study in Football
Evaluating the performance of human is a common need across many applica...
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03/22/2023
Uncertainty Aware Active Learning for Reconfiguration of Pre-trained Deep Object-Detection Networks for New Target Domains
Object detection is one of the most important and fundamental aspects of...
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07/06/2022
Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks
Synthesizing a realistic image from textual description is a major chall...
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05/30/2022
Residual Q-Networks for Value Function Factorizing in Multi-Agent Reinforcement Learning
Multi-Agent Reinforcement Learning (MARL) is useful in many problems tha...
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08/25/2020
A Critical Analysis of Patch Similarity Based Image Denoising Algorithms
Image denoising is a classical signal processing problem that has receiv...
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01/09/2019
Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset
Human Activity Recognition (HAR) is a key building block of many emergin...
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10/17/2017
Fusion of LiDAR and Camera Sensor Data for Environment Sensing in Driverless Vehicles
Driverless vehicles operate by sensing and perceiving its surrounding en...
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09/14/2017
Agent-based Modelling Framework for Driving Policy Learning in Connected and Autonomous Vehicles
Due to the complexity of the natural world, a programmer cannot foresee ...
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09/14/2017
An Agent-based Model for Driving Policy Learning in Connected and Autonomous Vehicles
Due to the complexity of the natural world, a programmer cannot foresee ...
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09/14/2017
