Fast Segmentation from Blurred Data in 3D Fluorescence Microscopy

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Volume electron microscopy is the method of choice for the in situ interrogation of cellular ultrastructure at the nanometer scale, and with the increase in large raw image datasets generated, improving computational strategies for image segmentation and s ...

Photometric stereo, a computer vision technique for estimating the 3D shape of objects through images captured under varying illumination conditions, has been a topic of research for nearly four decades. In its general formulation, photometric stereo is an ...

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Fast Segmentation from Blurred Data in 3D Fluorescence Microscopy

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Modular segmentation, spatial analysis and visualization of volume electron microscopy datasets

Aggregating Spatial and Photometric Context for Photometric Stereo

Assessment framework for deepfake detection in real-world situations

Imaging sensor device using an array of single-photon avalanche diode photodetectors

The multimodality cell segmentation challenge: toward universal solutions

Incorporating Projective Geometry into Deep Learning

Compact and effective photon-resolved image scanning microscope

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

EdgeAI-Aware Design of In-Memory Computing Architectures

3D diffractive optics for linear interconnects and nonlinear processing

Enabling Uncertainty Estimation in Iterative Neural Networks

Compilation and Design Space Exploration of Dataflow Programs for Heterogeneous CPU-GPU Platforms

Automatic and high-precision microseismic monitoring of progressive failure prior, during, and after tunnel excavation

Design Space Exploration for Partitioning Dataflow Program on CPU-GPU Heterogeneous System

Automatic and high-precision acoustic emission-based structural health monitoring of concrete structures

Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation

HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics

Post-Moore's Law Fusion: High-Bandwidth Memory, Accelerators, and Native Half-Precision Processing for CPU-Local Analytics

Impact of Video Processing Operations in Deepfake Detection

Acceleration of Control Intensive Applications on Coarse-Grained Reconfigurable Arrays for Embedded Systems