This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...
@inproceedings{hakada2025egorear, title = {Bring Your Rear Cameras for Egocentric 3D Human Pose Estimation}, author = {Akada, Hiroyasu and Wang, Jian and Golyanik, Vladislav and Theobalt, Christian}, ...
As intelligent technologies advance in electric vehicles (EVs), automatic unmanned charging systems are becoming increasingly prevalent. A key breakthrough lies in developing efficient methods to ...
We present a novel method for soybean [Glycine max (L.) Merr.] yield estimation leveraging high-throughput seed counting via computer vision and deep learning techniques. Traditional methods for ...
The BioCV dataset is a unique combination of synchronised multi-camera video, marker based optical motion capture, and force plate data, observing 15 healthy participants (7 males, 8 females) ...
This useful study introduces a deep learning-based algorithm that tracks animal postures with reduced drift by incorporating transformers for more robust keypoint detection. The efficacy of this new ...
[Jcparkyn] clearly had an interesting topic for their thesis project, and was conscientious enough to write up a chunk of it and release it to the wild. The project in question is a digital pen that ...
A generalised pose estimation pipeline that can be trained and tested on any data in the given format. This is the official code for the papers: "Satellite Pose Estimation Competition 2021: Results ...
Introduction: As the increase in electrification poses new demands on power delivery, the quality of the distribution system is paramount. Substations are a critical part of power grids that allow for ...
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