Convergence between CV and NLP Modeling and Learning
Han Hu and Li Dong from Microsoft Research Asia talk about the convergence between computer vision, natural language processing, and machine learning in the following talk.
Read More
2021 OpenCV AI Competition Grand Prize Winners
On this week’s show, Seth welcomes grand prize winners of the 2021 OpenCV AI Competition. Satya Mallick from OpenCV is here with Ye Lu and Him Wai (Michael) Ng from Team Cortic Tigers, who will demo their award-winning project – Cortic Edge Platform (CEP) which aims to democratize AI for everyone!
Read More
Building an Object Detection Model with the ML.NET Model Builder
In this video, Jon Wood shows us how to use the VoTT (Visual Object Tagging Tool) to generate data and use it in Model Builder to get an object detection model.
Read More
Visual Recognition beyond Appearances, and its Robotic Applications
The goal of Computer Vision, as coined by Marr, is to develop algorithms to answer What are Where at When from visual appearance. Yezhou Yang, among others, recognizes the importance of studying underlying entities and relations beyond visual appearance, following an Active Perception paradigm. This talk will present the speaker’s efforts over the last decade. […]
Read More
Tightly Connecting Vision and Language
Remarkable progress has been made at the intersection of vision and language. While showing great promise, current vision and language models may only weakly “connect” the two modalities and often fail in the wild. In this talk, Goggle’s Soravit Changpinyo will present recent efforts aiming to bridge this gap along two dimensions: informativeness and controllability. […]
Read More
Advanced Computer Vision with Python
Learn advanced computer vision using Python in this full (and free!) course. Learn state of the art computer vision techniques by building five projects with libraries such as OpenCV and Mediapipe. If you are a beginner, don’t be afraid of the term advance. Even though the concepts are advanced, they are not difficult to follow. […]
Read More
Processing Large Datasets for ADAS Applications using Apache Spark
Semantic segmentation is the classification of every pixel in an image/video. The segmentation partitions a digital image into multiple objects to simplify/change the representation of the image into something that is more meaningful and easier to analyze [1][2]. The technique has a wide variety of applications ranging from perception in autonomous driving scenarios to cancer […]
Read More
Virtual Drag and Drop using OpenCV Python
In this tutorial, learn how to create a virtual drag and drop system using opencv and python. Starting from scratch and going step by step to create the complete project. Code and Files: Virtual Drag and Drop
Read More
This AI Creates Virtual Fingers
Two Minute Papers examins the paper “ManipNet: Neural Manipulation Synthesis with a Hand-Object Spatial Representation.”
Read More
What is Lobe.ai?
I remember seeing an early demo of this at Fall MLADS 2019 and I’m happy to see if progressing nicely. Creating machine learning models doesn’t require complex math, frameworks or programming. In fact, you can even create your own computer vision model using a desktop app! Jen Looper joins us to explain what Lobe.ai is, […]
Read More