Elections, Online Chatter and Content Moderation - Racial Disinformation in the 2020 Election
Explore racially targeted disinformation on Twitter during the 2020 Election, challenges in communication with trust and safety teams, and recommendations for increasing racial literacy in computer science.
Hacking Reality: Technology for Detecting Deep Fakes
Explore deep fake threats and detection technologies with Dr. Memon, delving into cybersecurity challenges, algorithms, and the impact on digital reality.
Generative Models for Image Synthesis
Explore cutting-edge generative models for image synthesis, translation, and defect detection. Learn about GANs, unsupervised techniques, and interactive applications in this advanced AI seminar.
Minimally Invasive Surgery for Superior Semicircular Canal Dehiscence - Isaac Yang, MD - UCLAMDChat
Neurosurgeon explains minimally invasive keyhole craniotomy for Superior Semicircular Canal Dehiscence, showcasing surgical techniques, modern technology, and patient-specific approaches.
Foundations of Cognitive Robotics
Explore cognitive robotics, smart materials, brain architecture, and intelligence theories. Gain insights into synchronization models, EEG, and child-robot interaction.
Video Synopsis: Efficient Surveillance Video Summarization
Video Synopsis: Innovative technique to condense surveillance footage by rearranging object timelines, enabling efficient browsing and analysis. Complements video understanding tools for enhanced security monitoring.
Action Recognition Benchmarks: Insights and Limitations - Tal Hassner
Explore action recognition benchmarks' insights, challenges, and limitations in assessing real-world capabilities, focusing on national benchmarks and recent developments in the field.
Overview and Results of the THUMOS Action Localization Challenge
Learn about the THUMOS Localization Challenge, exploring datasets, annotation methods, and results in action recognition with numerous classes.
Object Tracking
Explore object tracking in computer vision, covering algorithms, datasets, and challenges. Learn about various tracking methods and their performance in different scenarios.
Towards Intelligent Fashion Recommendation
Explore intelligent fashion recommendation systems, covering research topics, criteria, databases, and future developments in AI-driven style suggestions.
Contextual and Bottom-Up Attention-Guided Large-Scale Visual Inferences
Explore visual inference techniques, including bottom-up attention and unsupervised object discovery, with applications in neuroscience, gesture recognition, and machine learning.
Visual Material Recognition
Explore visual material recognition through generative and discriminative approaches, focusing on reflectance models, material traits, and their applications in computer vision.
Object Recognition
Explore object recognition techniques, from Bag of Words to selective search, covering codebooks, visual synonyms, and object localization for effective image classification.
Enabling Natural Human Interaction in Immersive Virtual Environments
Explore techniques for natural human interaction in virtual environments, focusing on body language, facial expressions, and speech analysis for applications in healthcare, law enforcement, and military training.
Integrating Close-Range 3D Computer Vision
Explore close-range 3D computer vision and synthetic aperture radar satellite remote sensing integration, covering image processing, point cloud analysis, and compressive sampling techniques.
Thesis Defense: Computing Features in Computer Vision for Event Detection
Explore advanced computer vision techniques for event detection, feature learning, and object recognition in this thesis defense presentation on hybrid learning approaches.
Regularization of Big Neural Networks
Explore regularization techniques for large neural networks, including DropOut, DropConnect, and stochastic pooling. Learn about deconvolutional networks and their applications in computer vision tasks.
Recent Advances in Online Object Tracking
Explore recent advancements in online object tracking, covering sparsity-based classifiers, occlusion handling, and evaluation methodologies for improved visual tracking algorithms.
Understanding Photos of People Using Social Context
Explore social context's role in understanding photos of people, including pose, relationships, gender, and location, for enhanced image analysis and interpretation.
Hough Transform for Line and Shape Detection - Lecture 18
Learn about the Hough Transform technique for detecting lines and shapes in images, including its algorithm, applications, and variations like Generalized Hough Transform.
Structure from Motion - Lecture 15
Learn about Shape from X, 3D recovery and applications, Kinect technology, Moving Light Display, and Structure for Motion in computer vision. Explore key concepts and results in this comprehensive lecture.