MIT: Image Domain Transfer - NVIDIA Guest Lecture
Explore image domain transfer techniques, from artistic style transfer to multimodal translations, with applications in photo smoothing, seasonal transformations, and game engines.
Convolutional Neural Networks
Explore convolutional neural networks for computer vision tasks, covering feature extraction, convolution operations, and applications in classification, segmentation, and image captioning.
Computer Vision Meets Social Networks
Explore the intersection of computer vision and social networks, covering low-light enhancement, pose estimation, video attractiveness, classification, captioning, and natural language localization.
Beyond Deep Learning - Learning+Reasoning
Explore advanced AI concepts beyond deep learning, focusing on integrating reasoning with learning for more robust and interpretable systems in this IBM Research lecture.
Convolutional Neural Networks
Explore deep learning for computer vision, covering CNNs, object detection, and image segmentation. Learn about architectures, applications, and impacts in various fields.
Introduction to Deep Learning - MIT 2018
Explore foundations of deep learning, including perceptrons, neural networks, loss functions, and optimization techniques. Gain insights into training challenges and strategies for effective model development.
How Convolution Works
Guided tour of 2D convolution for CNNs and image processing, covering element-wise operations, feature detection, kernels, and practical applications.
How Convolutional Neural Networks Work, in Depth
Comprehensive exploration of convolutional neural networks, covering their structure, operation, and training process, including key concepts like filtering, pooling, and backpropagation.
Getting Closer to Human Intelligence Through Robotics
Explore how robotics research can advance AI towards human-level intelligence by relaxing current assumptions and focusing on physical interaction and broader capabilities.
3D Deep Learning for Gaming with Srinath Sridhar and Stanford Artificial Intelligence
Explore 3D deep learning for gaming, covering human pose estimation, object reconstruction, and computer vision applications with Stanford AI expert Srinath Sridhar.
Denoising 3D Multi-Channel Scientific Images Using Noise2Void Deep Learning Approach
Learn to denoise 2D and 3D multichannel scientific images using Noise2Void deep learning, focusing on CZI files from ZEISS microscopes. Explore implementation, training, and practical applications for improved image quality.
Denoising RGB Images Using Deep Learning - Noise2Void
Learn to denoise RGB images using Noise2Void deep learning technique, focusing on implementation, data preparation, and model training for improved image quality without clean data.
An Introduction to Object Segmentation Using StarDist Library in Python
Learn object segmentation using StarDist in Python for star-convex shapes in 2D and 3D. Covers installation, implementation, and HD image segmentation with practical examples.
Processing Whole Slide Images as Tiles
Efficient processing of whole slide images using OpenSlide, including H&E normalization and signal separation. Demonstrates tile extraction, processing, and saving for large-scale histopathology analysis.
Labeling Images for Semantic Segmentation Using Label Studio
Learn to label images for semantic segmentation using Label Studio, covering installation, project setup, annotation, and exporting in this practical tutorial.
Single Image Super Resolution Using SRGAN
Explore single image super-resolution using SRGAN, covering key concepts, perceptual loss, content loss, and network architectures for enhanced image quality.
Unpaired Image to Image Translation Using CycleGAN - An Introduction
Introduction to CycleGAN for unpaired image-to-image translation, covering key concepts, architecture, and training process. Explores discriminator and generator components, focusing on PatchGAN and instance normalization.
Image to Image Translation Using Pix2Pix GAN
Learn image-to-image translation using Pix2Pix GAN, exploring key concepts, generator and discriminator architectures, and practical applications in satellite imagery and scientific image generation.
Compositing Tips in Photoshop
Learn advanced Photoshop compositing techniques from expert Jesus Ramirez. Topics include background removal, rim lighting, image harmonization, color adjustments, hair refinement, and blending for realistic results.
Re-Imagining the Social Sciences in the Age of AI - March 4, 2020
Explore the intersection of AI and social sciences through expert talks on mate selection decision-making and human behavior as AI's next frontier, followed by a moderated discussion and audience Q&A.
Everything You Wanted to Know About Machine Learning but Didn't Know Whom to Ask - Sanjeev Arora
Explore machine learning fundamentals, from text classification to image recognition, with insights on optimization, unsupervised learning, and language models in this comprehensive seminar.