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Found 6 papers, 1 papers with code
HEViTPose: High-Efficiency Vision Transformer for Human Pose Estimation
Comprehensive experiments on two benchmark datasets (MPII and COCO) demonstrate that the small and large HEViTPose models are on par with state-of-the-art models while being more lightweight.
Multi-View Neural Surface Reconstruction with Structured Light
Three-dimensional (3D) object reconstruction based on differentiable rendering (DR) is an active research topic in computer vision.
Deep Hyperspectral-Depth Reconstruction Using Single Color-Dot Projection
To jointly reconstruct the depth and the hyperspectral reflectance from a single color-dot image, we propose a novel end-to-end network architecture that effectively incorporates a geometric color-dot pattern loss and a photometric hyperspectral reflectance loss.
Information retrieval for label noise document ranking by bag sampling and group-wise loss
To fit bag sampling well, after query and document are encoded, the global features of each group are extracted by convolutional layer and max-pooling to improve the model's resistance to the impact of labeling noise, finally, calculate the LCE group-wise loss.
Spectral MVIR: Joint Reconstruction of 3D Shape and Spectral Reflectance
Reconstructing an object's high-quality 3D shape with inherent spectral reflectance property, beyond typical device-dependent RGB albedos, opens the door to applications requiring a high-fidelity 3D model in terms of both geometry and photometry.
Pro-Cam SSfM: Projector-Camera System for Structure and Spectral Reflectance from Motion
In this paper, we propose a novel projector-camera system for practical and low-cost acquisition of a dense object 3D model with the spectral reflectance property.
