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Projects Proposed Projects

Please see propose projects for Spring and Winter upcoming semesters. This is a 4 academic point course. For further details please contact the laboratory engineer Yaron Honen (04-8295535, room 441).

Project Title:

Emotional ChatBot - Reading Human Emotions by Ro/Bots

Picture of Emotional ChatBot -  Reading Human Emotions  by Ro/Bots
Abstract:

Robots and bots using a simple webcam will communicate better with humans, improve their ability to influence human consumers, and understand their preferences. Imagine that the Chat-Bot will have eyes and the ability to recognize human emotion. This capability will leverage the bot's cognitive understanding of human preferences and intentions.

In this project the students will build a visual chat-bot client-server application on android cellphone. 

Supervisors:
Requirements:
Course or Knowledge in deep learning techniques
Knowledge in network communication
Excellent relevant programming skills 
Project Title:

High Perceptual Quality Single Image Super Resolution

Picture of High Perceptual Quality Single Image Super Resolution
Abstract:

The vast work in deep learning has led to a leap in image restoration research. Given a degraded image (e.g., a noisy image), current solutions usually provide only one restoration candidate with sub-optimal visual quality (for instance, a restored image which minimizes the Mean-Squared-Error loss).  In this project, we aim to tackle the Single Image Super-Resolution (SISR) task from a completely new perspective, aiming to produce many possible high resolution candidates (with high perceptual quality) for each low resolution input.  We will use a novel GAN-based approach that recently won the Amdocs Best Project contest and was demonstrated on image denoising  https://arxiv.org/pdf/2103.04192.pdf . This project is research oriented, and will require a lot of dedication. The end goal is to publish a paper (but first, of course, to do excellent research).

Supervisors:
Requirements:
Mandatory, to have a background in probability theory, deep learning, machine learning (e.g., 236605); and hands-on experience in PyTorch / Tensorflow / Keras / PyTorch Lightning.
Optionally, to have  experience in GANs (Generative Adversarial Networks), background in image processing and computer vision, expertise with multi-GPU training
Project Title:

Analysis of teachers movements in classroom

Picture of Analysis of teachers movements in classroom
Abstract:

Using videos of apprentice teachers in classroom, we will inspect their body movements and face orientation. Quantitative and qualitative results will help them perform better in class.

Supervisors:
Requirements:
One of the following: course in geometry, image processing/computer vision, 3D graphics or excellent students.
Project Title:

Computer Vision Based Bike Fit

Picture of Computer Vision Based Bike Fit
Abstract:

In this project we will implement a system that can find the right parameters for adapting the bicycle to the rider.  We will use 3D or 2D camera to capture the scene and than analyze the angles and distances. 





Supervisors:

Alon Zvirin

Yaron Honen

Requirements:
Bicycle fan, bike  rider  and one of the followings: course in geometry, image processing/computer vision, 3D graphics or excellent students 
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