Control neopixels with an analog sensor
Arduino code : https://gist.github.com/shfitz/f8582fb873ce7a61f548ec470e81d2f5.
Scott Fitzgerald
PhotoTechEDU Day 11: Document Image Analysis with Leptonica
Google Tech Talks April 4, 2007 ABSTRACT Graphics typically takes a representation of an image or scene and renders it in raster form. This normally occurs ...
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cs294a Sparse Autoencoder Lecture Part 1
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Nico Zhang
Seminar: X-Ray Backscatter Radiography as a Non-Destructive Examination Tool
NC State Nuclear
Arduino LCD Tutorial ST7920
Welcome to another Arduino video tutorial! In this video, we are going to take a first look at this big LCD display and we are going to build a temperature and ...
educ8s.tv
ICCV19: Oral Session 4.1B - Computational Photography
Link to indexed video: https://conftube.com/video/IWkSJQ6xxdc 1. Extreme View Synthesis Inchang Choi, Orazio Gallo, Alejandro Troccoli, Min H. Kim, Jan Kautz ...
ComputerVisionFoundation Videos
Object Detection as a Machine Learning Problem - Ross Girshick
FAIR Vision
Webinar: Understanding Line Scan Applications
Area scan cameras are often the camera of choice for machine vision inspection, while line scan cameras are traditionally used for applications that require ...
Teledyne DALSA
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision
Computer vision enables a wide range of applications in robotics/drones, self-driving cars, smart Internet of Things, and portable/wearable electronics. For many ...
EEMS Group - PI: Vivienne Sze
Arduino TFT LCD Touch Screen Tutorial
In this Arduino Tutorial we will learn how to use TFT LCD Touch Screen with Arduino.
How To Mechatronics
VID04 Digital Video Encoding
Encoding digital video signals for satellite communications transmission.
Greg Durgin
CVPR18: Session 2-1A: Object Recognition & Scene Understanding II
Orals (O2-1A) 1. [A1] 3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare, Abhijit Kundu, Yin Li, James M. Rehg 2. [A4] Fast and ...
ComputerVisionFoundation Videos
Andrew Ng: "Non-linear Hypotheses, Pt. 2"
Graduate Summer School 2012: Deep Learning, Feature Learning "Non-linear Hypotheses, Pt. 2" Andrew Ng, Stanford University Institute for Pure and Applied ...
Institute for Pure & Applied Mathematics (IPAM)
LCD128x64 using only 3 Arduino pins
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Maker Tutor
Day 2 Keynote (TF World '19)
O'Reilly and TensorFlow are teaming up to present the first TensorFlow World. It brings together the growing TensorFlow community to learn from each other ...
TensorFlow
9th Annual TMII Symposium - 2019 - Session III - Neuroimaging - Matthew Rosen, PhD
Icahn School of Medicine
04: Robotics 3 - Chapter 3 - External Sensors
0:00:00 Start 0:06:07 Inertial Measurement Units 0:20:21 AHRS and INS 0:26:46 Question from the chat in the last lecture 0:36:57 External Sensors 0:38:54 ...
KIT Lehre und Wissen
Deep Learning 2019 | Lecture 7: Build a Resnets from scratch, GAN | Jeremy Howard
Join the channel membership: https://www.youtube.com/c/AIPursuit/join Subscribe to the channel: https://www.youtube.com/c/AIPursuit?sub_confirmation=1 ...
AIP - Pursuing SoTA AI for everyone
PointNet based Object Detection and Classification in Autonomous Driving
Part of the ECE 542 Virtual Symposium (Spring 2020) Object detection in point clouds is an important aspect of many robotics applications such as autonomous ...
NC State ECE
L12 Representation Learning for Reinforcement Learning --- CS294-158 UC Berkeley Spring 2020
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Pieter Abbeel
"Autonomous, Agile Micro Drones: Perception, Learning, and Control" - Davide Scaramuzza
"Autonomous, Agile Micro Drones: Perception, Learning, and Control" - Davide Scaramuzza (University of Zurich) Abstract: Autonomous quadrotors will soon ...
Robotics Today
ML @ Berkeley Teams present on gesture detection, capsule networks, and adversarial attacks.
This salon features teams from the ML@B student organization at the University of California, Berkeley, presenting their work on ML research and engineering ...
Weights & Biases
Perceptual invariance in Humans and Machines
Arturo Deza, MIT.
MITCBMM
Video Analysis using CUDA and OpenCV Detecting scene changes in videos using CUDA and OpenCV
by Sam Radhakrishnan At: FOSDEM 2019 https://video.fosdem.org/2019/H.1309/media_scene_changes.webm CUDA has gained popularity as the ...
FOSDEM
TUM AI Lecture Series - New Methods for Reconstruction and Neural Rendering (Christian Theobalt)
Matthias Niessner
Visual Perception with Deep Learning
Google Tech Talks April, 9 2008 ABSTRACT A long-term goal of Machine Learning research is to solve highy complex "intelligent" tasks, such as visual ...
Google TechTalks
Wednesday @ 0900 SW Programmable FPGA IoT Platform RISC V Processor with Auto Generated HW Accele
RISC-V International
Image Signal Processing (ISP) Drivers & How to Merge One Upstream - Helen Koike, Collabora
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The Linux Foundation
Semantic Segmentation Tutorial | Training a Semantic Segmentation Network | Great Learning
Get your free certificate of completion for the Artificial Intelligence with Python Course, Register Now: https://glacad.me/GLA_ai_python This video on ...
Great Learning
Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences
Keynote presented on June 19th, 2020 at CVPR in the Large Scale Holistic Video Understanding Tutorial Slides: ...
Andreas Geiger
Manmohan Chandraker: Physically-Motivated Learning of Shape, Material and Lighting in Complex Scenes
Talk @ Tübingen seminar series of the Autonomous Vision Group ...
Andreas Geiger
Axial Attention & MetNet: A Neural Weather Model for Precipitation Forecasting
MetNet is a predictive neural network model for weather prediction. It uses axial attention to capture long-range dependencies. Axial attention decomposes ...
Yannic Kilcher
TUM AI Lecture Series - Towards Graph-Based Spatial AI (Andrew Davison)
Matthias Niessner
DeepMind x UCL | Deep Learning Lectures | 6/12 | Sequences and Recurrent Networks
In this lecture, DeepMind Research Scientist Marta Garnelo focuses on sequential data and how machine learning methods have been adapted to process this ...
DeepMind
06 Amir Farbin
Harvard CMSA
Leo B. Baldwin: Designing for One to One-Million: How Production Quantities Influence Design
A plenary talk from SPIE Optics + Photonics 2017 - http://spie.org/op In this plenary session, Leo Baldwin, an inventor and engineer at Amazon, includes ...
SPIETV
Vito Paolo Pastore (Università di Genova) - Machine learning for cellular biosensing
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MaLGa - Machine Learning Genoa Center
Making machines that see: Geometry, Uncertainty and Deep Learning
Professor Cipolla has been a Professor of Information Engineering at the University of Cambridge since 2000. Previously he worked as a Toshiba Fellow and ...
The Alan Turing Institute
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Paul G. Allen School
Fun With Autoencoders (Deep Fakes, Recommendation Engines & more)
Learn how autoencoders work, what they are can do, and dive into a Python tutorial to create your very own movie recommendation engine. Topics discussed: ...
Skowster the Geek
Computer Vision - Lecture 9.1 (Coordinate-based Networks: Implicit Neural Representations)
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Tübingen Machine Learning
DIY Smart Mirror - Full Tutorial
In this video we build a DIY smart mirror using a raspberry pi, a two way mirror, led tv screen, and Magic Mirror. We started our smart mirror with just a tv and ...
Break It Yourself
