This study introduces a novel training paradigm, audio difference learni...
Transformer-based models have gained popularity in the field of natural
...
Analysis of invasive sports such as soccer is challenging because the ga...
The application of visual tracking to the performance analysis of sports...
Human beings cooperatively navigate rule-constrained environments by adh...
Cognitive scientists believe adaptable intelligent agents like humans pe...
Automatic fault detection is a major challenge in many sports. In race
w...
Recent measurement technologies enable us to analyze baseball at higher
...
Anomalous sound detection systems must detect unknown, atypical sounds u...
Evaluation of intervention in a multi-agent system, e.g., when humans sh...
Evaluating the individual movements for teammates in soccer players is
c...
In baseball, every play on the field is quantitatively evaluated and has...
Automated Driving Systems (ADS) open up a new domain for the automotive
...
This work presents a self-supervised method to learn dense semantically ...
Interconnected road lanes are a central concept for navigating urban roa...
An anomalous sound detection system to detect unknown anomalous sounds
u...
Rich semantic information extraction plays a vital role on next-generati...
Extracting the rules of real-world biological multi-agent behaviors is a...
In this work, we present a detailed comparison of ten different 3D LiDAR...
In this work, we present LIBRE: LiDAR Benchmarking and Reference, a
firs...
This paper integrates a voice activity detection (VAD) function with
end...
This paper introduces a new end-to-end text-to-speech (E2E-TTS) toolkit ...
Automated driving systems (ADSs) promise a safe, comfortable and efficie...
Advanced driver assistance and automated driving systems rely on risk
es...
This paper deals with a multichannel audio source separation problem und...
In this paper we propose a novel data augmentation method for attention-...
This paper presents a new network architecture called multi-head decoder...