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20162025
most citedIn Defense of the Triplet Loss for Person Re-Identification

2.9k citations · 4k across the 30 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024★ 5 cited

MaskTerial: A Foundation Model for Automated 2D Material Flake Detection

Jan-Lucas Uslu, Alexey Nekrasov, Alexander Hermans +4

The detection and classification of exfoliated two-dimensional (2D) material flakes from optical microscope images can be automated using computer vision algorithms. This has the p…

cs.CV2024

Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

Gonzalo Martin Garcia, Karim Knaebel, Christian Schmidt +3

Recent work showed that large diffusion models can be reused as highly precise monocular depth estimators by casting depth estimation as an image-conditional image generation task.…

cs.CV2024★ 1 cited

OoDIS: Anomaly Instance Segmentation and Detection Benchmark

Alexey Nekrasov, Rui Zhou, Miriam Ackermann +3

Safe navigation of self-driving cars and robots requires a precise understanding of their environment. Training data for perception systems cannot cover the wide variety of objects…

cs.CV2024

An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs

Patrick Wienholt, Alexander Hermans, Firas Khader +5

This study investigates the application of ordinal regression methods for categorizing disease severity in chest radiographs. We propose a framework that divides the ordinal regres…

cs.CV2024★ 10 cited

Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images

Johannes Raufeisen, Kunpeng Xie, Fabian Hörst +9

Background: Cell segmentation in bright-field histological slides is a crucial topic in medical image analysis. Having access to accurate segmentation allows researchers to examine…