Find all the Top AISports papers. Links to pdf, code repos and demos are provided.
Data driven methods for time series forecasting that quantify uncertainty open new important possibilities for robot tasks with hard real time constra...
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We address the problem of enabling quadrupedal robots to perform precise shooting skills in the real world using reinforcement learning. Developing al...
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We propose the nuclear norm penalty as an alternative to the ridge penalty
for regularized multinomial regression. This convex relaxation of reduced-r...
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We present BlazePose GHUM Holistic, a lightweight neural network pipeline for 3D human body landmarks and pose estimation, specifically tailored to re...
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Presents a novel model for detecting events and key actors in multi-person videos without the need for explicit annotations regarding individuals' con...
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Understanding the simultaneously very diverse and intricately fine-grained
set of possible human actions is a critical open problem in computer vision...
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Investigates the impact of various types of spatiotemporal convolutions on action recognition in video analysis, highlighting the advantages of 3D CNN...
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Cricket is unarguably one of the most popular sports in the world. Predicting the outcome of a cricket match has become a fundamental problem as we ar...
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The application of Automatic Speech Recognition (ASR) technology in soccer offers numerous opportunities for sports analytics. Specifically, extractin...
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In recent years, Deep Reinforcement Learning has made impressive advances in
solving several important benchmark problems for sequential decision maki...
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Video live streaming is gaining prevalence among video streaming services, especially for the delivery of popular sporting events. Many objective Vide...
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Presents a novel approach to ConvNet architecture search specifically for spatiotemporal feature learning in video analysis. The proposed deep 3D Resi...
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