Teaching

Computer Vision III: Detection, Segmentation and Tracking (CV3DST) (IN2375)

Summer semester 2022

One and two-stage detectors, semantic segmentation networks, single/multi-object tracking, message passing networks, trajectory prediction, 3D tracking.

Introduction to Deep Learning (I2DL) (IN2346)

Summer semester 2022

Machine Learning Basics, Linear Classifier, Multi-Layer Perceptron, Regularization, Training, Optimization, Backpropagation, Convolutional Neural Networks, Recurrent Neural Networks.


Upcoming semesters

Deep Learning for Satellite Imagery (IN2107)

Winter semester 2022

Seminar on the applications of computer vision algorithms on satellite imagery.


Past semesters

Advanced Deep Learning for Computer vision (ADL4CV) (IN2389)

Winter semester 2021

Advanced architectures for vision, siamese neural networks, autoencoder, VAE, Bayesian Deep Learning, generative models, GANs, visualization techniques, transformers, semi-supervised and active learning.

Recent trends in Automated Machine Learning (AutoML) (IN2107, IN4954)

Summer semester 2021

Seminar on recent trends in Automated Machine Learning.

Computer Vision III: Detection, Segmentation and Tracking (CV3DST) (IN2375)

Winter semester 2021

One and two-stage detectors, semantic segmentation networks, single/multi-object tracking, message passing networks, trajectory prediction, 3D tracking.

Fundamental Algorithms (CSE) (IN2157)

Winter semester 2020

Sorting, searching, hash tables, graphs and weighted graphs.

Introduction to Deep Learning (I2DL) (IN2346)

Winter semester 2020

Machine Learning Basics, Linear Classifier, Multi-Layer Perceptron, Regularization, Training, Optimization, Backpropagation, Convolutional Neural Networks, Recurrent Neural Networks.

Advanced Deep Learning for Computer vision (ADL4CV) (IN2364)

Summer semester 2020

Advanced architectures for vision, siamese neural networks, autoencoder, VAE, attention mechanisms, graph neural networks, multi-dimensional CNN, generative models, GANs, visualization techniques.

Computer Vision III: Detection, Segmentation and Tracking (CV3DST) (IN2375)

Summer semester 2020

One and two-stage detectors, semantic segmentation networks, single/multi-object tracking, message passing networks, trajectory prediction, 3D tracking.

Computer Vision III: Detection, Segmentation and Tracking (CV3DST) (IN2375)

Summer semester 2021

One and two-stage detectors, semantic segmentation networks, single/multi-object tracking, message passing networks, trajectory prediction, 3D tracking.

Introduction to Deep Learning (I2DL) (IN2346)

Summer semester 2020

Machine Learning Basics, Linear Classifier, Multi-Layer Perceptron, Regularization, Training, Optimization, Backpropagation, Convolutional Neural Networks, Recurrent Neural Networks.

Advanced Deep Learning for Computer vision (ADL4CV) (IN2364)

Winter semester 2020-21

Advanced architectures for vision, siamese neural networks, autoencoder, VAE, Bayesian Deep Learning, multi-dimensional CNN, generative models, GANs, visualization techniques.

Advanced Deep Learning for Computer vision (ADL4CV) (IN2364)

Winter semester 2019

Advanced architectures for vision, siamese neural networks, autoencoder, VAE, Bayesian Deep Learning, multi-dimensional CNN, generative models, GANs, visualization techniques.

Computer Vision III: Detection, Segmentation and Tracking (CV3DST) (IN2375)

Winter semester 2019

One and two-stage detectors, semantic segmentation networks, single/multi-object tracking, message passing networks, trajectory prediction, 3D tracking.

Introduction to Deep Learning (I2DL) (IN2346)

Summer semester 2019

Machine Learning Basics, Linear Classifier, Multi-Layer Perceptron, Regularization, Training, Optimization, Backpropagation, Convolutional Neural Networks, Recurrent Neural Networks.

Advanced Deep Learning for Computer vision (ADL4CV) (IN2364)

Summer semester 2019

Advanced architectures for vision, siamese neural networks, autoencoder, VAE, Bayesian Deep Learning, multi-dimensional CNN, generative models, GANs, visualization techniques.

Recent trends in Automated Machine Learning (AutoML) (IN2107, IN4954)

Summer semester 2019

Advanced Deep Learning for Computer vision (ADL4CV) (IN2364)

Winter semester 2018/19

Advanced architectures for vision, siamese neural networks, autoencoder, VAE, Bayesian Deep Learning, multi-dimensional CNN, generative models, GANs, visualization techniques.

Introduction to Deep Learning (I2DL) (IN2346)

Winter semester 2018/19

Machine Learning Basics, Linear Classifier, Multi-Layer Perceptron, Regularization, Training, Optimization, Backpropagation, Convolutional Neural Networks, Recurrent Neural Networks.

Introduction to Deep Learning (I2DL) (IN2346)

Summer semester 2018

Machine Learning Basics, Linear Classifier, Multi-Layer Perceptron, Regularization, Training, Optimization, Backpropagation, Convolutional Neural Networks, Recurrent Neural Networks.

Deep Learning for Computer Vision (IN2346)

Winter semester 2017/18

Machine Learning Basics, Linear Classifier, Multi-Layer Perceptron, Regularization, Training, Optimization, Backpropagation, Convolutional Neural Networks, Recurrent Neural Networks, Advanced architectures, Generative Models, Variational Autoencoders.