GitHub

easy3e_feed-forward_3d_asset_editing_via_rectified_voxel_flow.md

This paper proposes a feed-forward 3D asset editing framework built upon the TRELLIS 3D generation backbone. It achieves globally consistent geometric deformation in a sparse voxel latent space via ...
IEEE

YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors

Abstract: Real-time object detection is one of the most important research topics in computer vision. As new approaches regarding architecture optimization and training optimization are continually ...
Nature

Integrated photonic 3D tensor processing engine

Optical computing leverages high bandwidth, low latency, and power efficiency, which is considered as one of the most effective solutions for accelerating deep learning tasks. However, mainstream ...
acm.org

Malicious AI Models Undermine Software Supply-Chain Security

Integrating malicious AI models 6 into software supply chains presents a significant and emerging threat to cybersecurity. The attackers aim to embed malicious AI models in software components and ...
The Lancet

Real-time artificial intelligence-assisted detection and segmentation of nasopharyngeal carcinoma using multimodal endoscopic data: a multi-center, prospective study

aDepartment of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, PR China bOtorhinolaryngology Institute, Sun Yat-sen University, Guangzhou, Guangdong, PR ...
LinkedIn

The Role of Tensors in AI and How TensorFlow.js Makes It Simple

Artificial Intelligence (AI) has transformed how we interact with technology, but at its core, AI relies on a fundamental building block: tensors. Think of tensors as the unsung heroes that make data ...
Nature

Automatic ovarian follicle detection using object detection models

Ovaries are of paramount importance in reproduction as they produce female gametes through a complex developmental process known as folliculogenesis. In the prospect of better understanding the ...
Scientific Research Publishing

Defect Detection in Manufacturing: An Integrated Deep Learning Approach ()

This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...
IEEE

Time Efficient Design and FPGA Implementation of Distributed Canny Edge Detector Algorithm

Abstract: Edge detection is one of the basic operations carried out in image processing and object identification. As it plays an important role in image processing which needs to be optimized, ...