Thomas Veit

FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation

In this paper, we propose a state-of-the-art video denoising algorithm based on a convolutional neural network architecture. Until recently, video denoising with neural networks had been a largely...

An Analysis and Implementation of the HDR+ Burst Denoising Method

HDR+ is an image processing pipeline presented by Google in 2016. At its core lies a denoising algorithm that uses a burst of raw images to produce a single higher quality image. Since it is...

DVDnet: A Fast Network for Deep Video Denoising

In this paper, we propose a state-of-the-art video denoising algorithm based on a convolutional neural network architecture. Previous neural network based approaches to video denoising have been...

Evaluation of Road Marking Feature Extraction

Tracking Multiple Targets based on Stereo Vision

Probabilistic Parameter-Free Motion Detection

FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation

A maximality principle applied to a contrario motion detection

Space-time A Contrario Clustering for Detecting Coherent Motions

Controllable blind deblurring with diffusion models

Image acquisition with a camera involves several degradations due to the optical system, sensor, or low-level processing steps. We address blind deblurring in professional photography: we aim to...