Technische Universiteit Delft (TU DELFT) • Computer Science and Engineering

This is a summary of the paper A Metric Learning Reality Check for the course Seminar of Computer Vision by Deep Learning in TU Delft

This is a summary of the paper End-to-end Object Detection with Transformers for the course Seminar of Computer Vision by Deep Learning in TU Delft

This is a summary of the paper Masked Autoencoders Are Scalable Vision Learners for the course Seminar of Computer Vision by Deep Learning in TU Delft

This is a summary of the paper NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis for the course Seminar of Computer Vision by Deep Learning in TU Delft

This is a summary of the paper On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location for the course Seminar of Computer Vision by Deep Learning in TU Delft

This is a summary of the paper PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation for the course Seminar of Computer Vision by Deep Learning in TU Delft

This is a summary of the paper Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset for the course Seminar of Computer Vision by Deep Learning in TU Delft

This is a summary of the paper Supervised learning based on temporal coding in spiking neural networks for the course Seminar of Computer Vision by Deep Learning in TU Delft

This is a summary for the paper U-Net Convolutional Networks for Biomedical Image used for the course Computer Vision by Deep Learning in TU Delft

This is a summary for the paper Visual Prompt Tuning used for the course Computer Vision by Deep Learning in TU Delft