Visual Intelligence: Projects and Challenges

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Related lectures (30)

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Environmental Image Analysis

Explores Valérie's project on automating land area statistics using deep learning algorithms and aerial images.

Transformers: Unifying Machine Learning Communities

Covers the role of Transformers in unifying various machine learning fields.

Transformers in Vision: Applications and Architectures

Covers the impact of transformers in computer vision, discussing their architecture, applications, and advancements in various tasks.

Computer Vision: Image Formation and Transformation

Provides an overview of image formation and transformation principles in computer vision.

Computer Vision: Recap

Recaps key concepts in computer vision, challenges, opportunities, and upcoming exam details.

Robust Vision: Data Augmentation and Ensembling Techniques

Explores data augmentation and ensembling techniques for robust vision, comparing ViT and ResNet models.

Image Processing I

Covers the basics of image processing and its applications in various fields.

Convolutional Neural Networks

Introduces Convolutional Neural Networks, covering fully connected layers, convolutions, pooling, PyTorch translations, and applications like hand pose estimation and tubularity estimation.

Visual Intelligence: Machines and Minds

Explores visual intelligence, image formation, computer vision, and representation understanding in machines and minds.

Landscape and Generalisation in Deep Learning

Explores the challenges and insights of deep learning, focusing on loss landscape, generalization, and feature learning.