Mirage News

Efficient Multi-Wavelength Model for 3D Holograms

Computer-generated holography (CGH), as one of the most attractive next-generation three-dimensional (3D) display technology, possesses the capacity ...
TMCnet

MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Convolutional Neural Network, Achieving New Breakthrough in MNIST Multi-Class Classification

Data Encoding Stage: The MNIST dataset contains grayscale handwritten digit images. Each image is scaled and normalized, then mapped to eight qubits through Angle Encoding or Amplitude Encding. This ...
Business Insider

WiMi Studies Hybrid Quantum-Classical Convolutional Neural Network Model

BEIJING, Oct. 23, 2025 (GLOBE NEWSWIRE) -- BEIJING, Oct. 23, 2025––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology ...
IEEE

2D-to-3D Lifting Human Pose Estimation Based on Simple Graph Convolution Regression

Abstract: In 2D-to-3D human pose estimation (HPE), the torso connection relationship between joints, which can be seen as important constraint information, is critical to improving the accuracy of 3D ...
IEEE

Enhancing 3D Medical Image Understanding with Pretraining Aided by 2D Multimodal Large Language Models

Abstract: Understanding 3D medical image volumes is critical in the medical field, yet existing 3D medical convolution and transformer-based self-supervised learning (SSL) methods often lack deep ...
Scientific Research Publishing

Traffic Speed Prediction Based on Autoencoder and Deep Learning ()

Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...
Frontiers

Convolutional spatio-temporal sequential inference model for human interaction behavior recognition

1 School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, China 2 School of Computer Science and Technology, Taiyuan University of Science and Technology (TYUST), Taiyuan, ...
Scientific Research Publishing

Plunger Pump Fault Diagnosis Method Based on Wavelet Convolution and Multi-Head Self-Attention Mechanism for Multi-Channel Feature Fusion ()

To address the issues of low accuracy, high dependence on prior knowledge, and poor adaptability in fusing multi-channel features in existing plunger pump fault diagnosis methods, a new method based ...
GitHub

Inefficient 2D convolution compared to PyTorch

When benchmarking 2D depthwise convolutions on an NVIDIA H200, I observed that TensorFlow’s implementation is noticeably slower and consumes more power compared to PyTorch. Using a kernel-level ...
GitHub

Inefficient 2D convolution compared to JAX

When comparing a 2D depthwise convolution implemented in PyTorch vs. pure JAX/XLA on GPU, I observed that the PyTorch version runs roughly 3× slower and draws substantially more power than the ...