This is the official implementation of our work presented at CVPR 2024, titled Multiple View Geometry Transformers for 3D Human Pose Estimation. We employ a coarse-to-fine query refinement process, ...

We introduce Any6D, a model-free framework for 6D object pose estimation that requires only a single RGB-D anchor image to estimate both the 6D pose and size of unknown objects in novel scenes. Unlike ...

NVIDIA has patched a trio of vulnerabilities in its Triton Inference Server that, when chained together, give unauthenticated remote attackers a way to take full control of the server and run ...

Abstract: Air pollution poses a critical global health challenge requiring accurate prediction systems. This paper evaluates eleven machine learning models for air quality classification using the ...

Find the best facial recognition software with our comprehensive expert guide. Discover the top solutions for enhanced security and convenient identification. Biometric security technologies such as ...

We propose a deep learning-based vehicle pose estimation method based on a monocular camera called FPN PoseEstimateNet. The FPN PoseEstimateNet consists of a feature extractor and a pose calculate ...

Terrestrial time-lapse photogrammetry is a rapidly growing method for deriving measurements from glacial environments because it provides high spatio-temporal resolution records of change. Currently, ...