3D Face Modeling from a Single RGB Image
Explore techniques for 3D face reconstruction from single images, from coarse to fine-grain methods, addressing challenges in diverse real-world conditions.
MRI Brain Scan Classification Using FastSurfer, XGBoost and 3D CNNs
Master medical image classification techniques using FastSurfer pipeline, XGBoost, and 3D CNNs for MRI brain scan analysis. Learn preprocessing steps and implement neural networks in PyTorch for advanced medical data analysis.
Federated Learning for Medical Image Analysis - Seminar 89
Explore cutting-edge federated learning applications in medical imaging with NVIDIA expert Holger Roth, focusing on collaborative AI development while maintaining data privacy and security.
Lensless Imaging: Overview, Opportunities, and Challenges
Explore lensless imaging advancements, principles, and applications in 3D reconstruction, discussing challenges and future opportunities in camera design and computational algorithms.
Efficient 3D Perception for Autonomous Vehicles
Explore cutting-edge techniques for efficient 3D perception in autonomous vehicles, including multi-sensor fusion, accelerated view transformation, and real-time performance on edge GPUs.
情報学と戯れる - 京都大学最終講義 2018
情報学の進化と応用について、京都大学の美濃導彦教授による最終講義で深い洞察と経験を共有する90分の旅へ出発。
Creative AI - Using ML to Create Art, Music, and Jokes - Lecture 113
Explore AI's creative potential in art, music, and humor through open-source ML models. Gain insights into strengths, limitations, and societal impacts, with live demos and code walkthroughs of innovative projects.
Unlocking Hardware Security - Red Team, Blue Team, and Trojan Tales
Explore hardware Trojan detection in ICs through a Red Team vs. Blue Team case study. Learn about imaging techniques, algorithm efficiency, and the impact of technology scaling on security.
Understanding and Steering Generative AI Systems
Explore techniques for analyzing and directing AI systems' behavior, focusing on tools to identify patterns, improve accuracy, and enhance truthfulness in language and vision models.
Robot Learning with Inspiration from Child Development
Explore cutting-edge developments in robot learning across locomotion, navigation, and manipulation, drawing parallels from child development to advance intelligent robotics through simulation and real-world applications.
Vision Transformers (ViTs) - A Beginner's Guide to Image Processing with Transformers
Dive into Vision Transformers (ViTs), exploring core concepts like linear projection, multihead attention layers, and patch embedding in a beginner-friendly, comprehensive walkthrough.
Uncertainty Quantification with Conformal Prediction - A Path to Reliable ML Models
Dive into conformal prediction techniques for quantifying uncertainty in ML models, covering implementation across various domains and practical applications using Python and pre-trained neural networks.
Vision Transformer - Lecture 16
Dive into Vision Transformers architecture and implementation, exploring their role in computer vision tasks through expert insights and practical applications in machine learning.
Vision Transformer for Efficient Machine Learning - Lecture 16
Dive into Vision Transformer architecture and implementation with MIT Prof. Song Han, exploring key concepts and practical applications in modern computer vision and machine learning.
Identifying Subgroups in Biomedical Datasets Using Data Attribution
Explore data attribution methods for machine learning models, focusing on identifying disease subtypes and meaningful patterns in biomedical datasets through hands-on practice with datamodels.
ComfyUI Installation and Control Net Manager Guide - Part 1
Master ComfyUI's fundamentals through step-by-step installation, node operations, and advanced features like ControlNet integration and workflow management for AI image generation.
Variational Audio-Visual Representation Learning - Lecture 34
Explore advanced concepts in variational learning techniques for audio-visual data representation, focusing on cutting-edge AI methodologies and their practical applications.
Data Mining: Embeddings and Representations in Machine Learning - Spring 2023
Explore data representation techniques from TF-IDF to contextualized embeddings, covering word analogies, societal biases, and image representations for advanced data mining applications.
Leaf Tracking, Counting and Occlusion in Plants Using Artificial Neural Networks
Discover how to implement artificial neural networks for plant leaf analysis, including tracking, counting, and handling occlusion through advanced image processing techniques.
Complex Networks Sparsification - Methods and Tools
Discover essential network sparsification techniques for identifying meaningful connections in complex networks, from social platforms to word networks, while effectively managing noise and non-essential edges.
Live Coding: Avoiding Traffic with Wolfram Language
Explore real-time problem-solving using Wolfram Language to avoid London's morning rush hour traffic through API calls, machine learning, image processing, and graph theory.