Stanford Seminar - PyWren - Pushing Microservices to Teraflops
Explore PyWren, a distributed execution engine simplifying cloud computing for scientists and engineers. Learn about its applications in data science and computational imaging.
A Photoacoustic Airborne Sonar System
Innovative airborne sonar system using photoacoustic effect for high-throughput underwater imaging, bridging gap between aerial and underwater sensing technologies.
Computational Imaging and Mask-Based Techniques - SPACE West Webinar
Explore computational imaging techniques, including mask-based imaging and lensless imaging, with Prof. Salman Asif. Learn about depth reconstruction, simulation results, and practical applications.
Neural Imaging and Computational Displays - SPACE Webinar Series
Explore cutting-edge imaging technologies with Prof. Wetzstein, covering single-photon sensors, deep optics, holographic displays, and hybrid optical-electronic CNNs for advanced signal processing applications.
SPACE Webinar: X-ray CT Scatter Modeling and Estimation
Explore advanced X-ray CT techniques, including scatter modeling, neural networks, and minimax problems, to enhance image quality and reduce artifacts in medical imaging.
Computational Photography and Image Processing Advancements - SPACE Webinar Series
Explore computational imaging with Prof. Sabine Süsstrunk from EPFL in this IEEE Signal Processing Society webinar, focusing on advanced techniques and applications in image processing.
Multi-Dimensional Scanning Transmission Electron Microscopy to Solve 3D Nanostructures
Explore advanced electron microscopy techniques for 3D nanostructure analysis, including multi-dimensional imaging channels and computational methods to enhance resolution and information recovery.
Ultra-low-field MRI for Healthcare - A Future Powered by Computing?
Explore the potential of ultra-low-field MRI in healthcare, focusing on computational advancements and future applications in medical imaging.
On Mathematical Modeling in Image Reconstruction and Beyond
Explores connections between wavelet frame-based and PDE-based approaches in image reconstruction, linking to deep learning and computational imaging advancements.
Capturing the First Portrait of Our Milky Way's Black Hole & Beyond
Explore the groundbreaking methods used to capture the first image of Sagittarius A*, our galaxy's central black hole, and future directions in black hole imaging technology.
A Function Space View of Overparameterized Neural Networks - Rebecca Willet, University of Chicago
Explore function spaces of overparameterized neural networks, focusing on weight-bounded networks and their approximation capabilities. Insights from Radon transform analysis reveal novel perspectives on learning with ReLU networks.
Splitting the Difference Between Deep and Shallow Solutions of Inverse Problems
Explores balancing compressed sensing and deep learning in computational imaging, showcasing Plenoxels for efficient photorealistic view synthesis without neural networks.
Computational Imaging - Deep Learning Approaches
Explore advanced computational imaging techniques with Jong Chul Ye from KAIST, covering innovative approaches in signal processing and image reconstruction.
Computational Imaging Systems and Optical Design - Webinar
Explore computational imaging systems, diffractive optics, and neural network-based reconstruction in this advanced signal processing webinar by Prof. Wolfgang Heidrich from KAUST.
Computational Imaging - Depth Estimation Techniques and Applications
Explore advanced techniques in computational imaging, focusing on depth estimation methods, stereo vision, and novel applications in 3D reconstruction and image synthesis.
Computational Imaging: Black Hole Shadows and Imaging Algorithms - Webinar
Explore computational imaging techniques for black hole visualization, featuring insights on imaging algorithms, bias avoidance, and telescope design optimization.
Computational Imaging Systems: From DiffuserCam to Neural Activity Tracking - Seminar 2
Explore computational imaging systems, focusing on DiffuserCam technology and its applications in 3D neural activity tracking. Learn about challenges and solutions in image reconstruction and processing.
3D Phase Imaging with Scattering Samples - IPAM at UCLA
Innovative microscopy techniques for 3D phase imaging in thick, scattering samples using computational algorithms and neural networks to reconstruct refractive index maps from angle-coded illumination.
On the Use of Machine Learning for Computational Imaging
Exploring machine learning applications in computational imaging, focusing on inverse problems, regularization, and challenges in phase retrieval, 3D structure reconstruction, and surface analysis.
Machine Learning and Computational Imaging - IPAM at UCLA
Explore AI's role in computational imaging, focusing on deep learning for inverse problems in image recovery and restoration, from denoising to nano-scale imaging.
Photorealistic Reconstruction from First Principles
Explore photorealistic reconstruction techniques combining compressed sensing and deep learning for computational imaging, focusing on recovering optical density and view-dependent color from calibrated photographs.