activity
20202022
most citedVIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges

11 citations · 12 across the 3 of their papers we have counts for

collaborators

8 papers

cs.CV2024

Pushing Joint Image Denoising and Classification to the Edge

Thomas C Markhorst, Jan C van Gemert, Osman S Kayhan

In this paper, we jointly combine image classification and image denoising, aiming to enhance human perception of noisy images captured by edge devices, like low-light security cam…

cs.CV20221 cited

Evaluating Context for Deep Object Detectors

Osman Semih Kayhan, Jan C. van Gemert

Which object detector is suitable for your context sensitive task? Deep object detectors exploit scene context for recognition differently. In this paper, we group object detectors…

cs.CV2022

VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges

Attila Lengyel, Robert-Jan Bruintjes, Marcos Baptista Rios +4

The second edition of the "VIPriors: Visual Inductive Priors for Data-Efficient Deep Learning" challenges featured five data-impaired challenges, where models are trained from scra…

cs.CV2021

Hallucination In Object Detection -- A Study In Visual Part Verification

Osman Semih Kayhan, Bart Vredebregt, Jan C. van Gemert

We show that object detectors can hallucinate and detect missing objects; potentially even accurately localized at their expected, but non-existing, position. This is particularly…

cs.CV202111 cited

VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges

Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista Rios +2

We present the first edition of "VIPriors: Visual Inductive Priors for Data-Efficient Deep Learning" challenges. We offer four data-impaired challenges, where models are trained fr…

cs.CV2020

t-EVA: Time-Efficient t-SNE Video Annotation

Soroosh Poorgholi, Osman Semih Kayhan, Jan C. van Gemert

Video understanding has received more attention in the past few years due to the availability of several large-scale video datasets. However, annotating large-scale video datasets…