Abstract: Dashboard cameras (dashcams) record millions of driving videos daily, offering a valuable potential data source for various applications, including driving map production and updates. A ...

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...

@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}, ...

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

Abstract: Category-level object pose estimation is crucial for enabling robot grasping. Currently, many methods rely on 3D shape priors for pose estimation, but obtaining priors for specific ...

Note: This repo is forked from e-candeloro/Driver-State-Detection and has been heavily modified to run a custom resnet50 model from debuggercafe.com tutorial. The ...

Master Side Plank (Vasisthasana) with this step-by-step tutorial covering alignment, engagement, and safe modifications. This pose builds core strength, balance, and shoulder stability—ideal for both ...

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

Monocular depth estimation involves predicting scene depth from a single RGB image—a fundamental task in computer vision with wide-ranging applications, including augmented reality, robotics, and 3D ...

Learn how to perfect your Triangle Pose (Trikonasana) with this beginner-friendly tutorial! 🔺 This foundational yoga pose helps to increase flexibility, build strength, and improve balance while ...

ABSTRACT: The Negative Binomial Multiple Change Point Algorithm is a hybrid change detection and estimation approach that works well for overdispersed and equidispersed count data. This simulation ...